PubMed:
RevDate: 2026-10-09
CmpDate: 2026-10-08
Clinical rationale for thymic restoration in adult immunosenescence.
Immunity & ageing : I & A, 23(1):.
Age-related thymic involution is a central feature of immunosenescence and intersects with multiple "hallmarks of aging", including genomic instability, telomere attrition, mitochondrial dysfunction, and chronic inflammation. The decline in thymic epithelial integrity and FOXN1-driven thymopoiesis reduces naïve T-cell output, contracts TCR repertoire diversity, and perturbs central tolerance, contributing to increased susceptibility to infection, cancer, and autoimmunity. These changes occur alongside broader immune-aging phenomena such as inflammaging and frailty and are reflected in poorer vaccine responses and altered outcomes to novel pathogens such as SARS-CoV‑2. This review integrates mechanistic, preclinical, and human data to reassess the adult thymus as a therapeutic target. Higher-confidence domains for thymic restoration include cancer immunosurveillance, infectious disease vulnerability, vaccine responsiveness, and post-treatment immune reconstitution, supported by modeling of age-related disease incidence, transplant and HIV cohorts, and new observational links between radiographic thymic health, mortality, and immunotherapy outcomes. High-plausibility but less directly validated domains include autoimmunity, chronic herpesvirus control, HIV immunological non-responders, and post-acute infection syndromes such as long COVID, which share convergent patterns of T-cell dysfunction and persistent immune activation. The translational landscape spans hormonal and somatotropic modulation (sex steroid ablation, growth hormone/ghrelin), cytokine and growth-factor strategies (IL‑7, IL‑22, KGF/BMP4, FGF21), cell- and tissue-engineering approaches leveraging thymic epithelial stem cells and FOXN1-reprogrammed stromal cells, and gene-therapy concepts such as intrathymic AAV delivery of FOXN1, AIRE, chemokines, and stromal-support pathways. Collectively, these data support the biological plausibility of adult thymus restoration but highlight that robust, domain-specific clinical benefits have not yet been demonstrated in controlled trials. Future work should prioritize harmonized structural and functional biomarkers, domain-focused interventional studies in high-risk populations, and combined strategies that situate thymus-directed interventions within broader efforts to modify immune and organismal aging.
Additional Links: PMID-42415124
PubMed:
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@article {pmid42415124,
year = {2026},
author = {Sewell, PE and Jensen, C},
title = {Clinical rationale for thymic restoration in adult immunosenescence.},
journal = {Immunity & ageing : I & A},
volume = {23},
number = {1},
pages = {},
pmid = {42415124},
issn = {1742-4933},
abstract = {Age-related thymic involution is a central feature of immunosenescence and intersects with multiple "hallmarks of aging", including genomic instability, telomere attrition, mitochondrial dysfunction, and chronic inflammation. The decline in thymic epithelial integrity and FOXN1-driven thymopoiesis reduces naïve T-cell output, contracts TCR repertoire diversity, and perturbs central tolerance, contributing to increased susceptibility to infection, cancer, and autoimmunity. These changes occur alongside broader immune-aging phenomena such as inflammaging and frailty and are reflected in poorer vaccine responses and altered outcomes to novel pathogens such as SARS-CoV‑2. This review integrates mechanistic, preclinical, and human data to reassess the adult thymus as a therapeutic target. Higher-confidence domains for thymic restoration include cancer immunosurveillance, infectious disease vulnerability, vaccine responsiveness, and post-treatment immune reconstitution, supported by modeling of age-related disease incidence, transplant and HIV cohorts, and new observational links between radiographic thymic health, mortality, and immunotherapy outcomes. High-plausibility but less directly validated domains include autoimmunity, chronic herpesvirus control, HIV immunological non-responders, and post-acute infection syndromes such as long COVID, which share convergent patterns of T-cell dysfunction and persistent immune activation. The translational landscape spans hormonal and somatotropic modulation (sex steroid ablation, growth hormone/ghrelin), cytokine and growth-factor strategies (IL‑7, IL‑22, KGF/BMP4, FGF21), cell- and tissue-engineering approaches leveraging thymic epithelial stem cells and FOXN1-reprogrammed stromal cells, and gene-therapy concepts such as intrathymic AAV delivery of FOXN1, AIRE, chemokines, and stromal-support pathways. Collectively, these data support the biological plausibility of adult thymus restoration but highlight that robust, domain-specific clinical benefits have not yet been demonstrated in controlled trials. Future work should prioritize harmonized structural and functional biomarkers, domain-focused interventional studies in high-risk populations, and combined strategies that situate thymus-directed interventions within broader efforts to modify immune and organismal aging.},
}
RevDate: 2026-10-20
CmpDate: 2026-07-08
Chemokines in Alzheimer's Disease: Early Defence, Late Damage and the Impact of Sex and Infection.
Basic & clinical pharmacology & toxicology, 139(2):e70273.
Chemokines constitute a versatile signalling network maintaining homeostasis and glia-neuron communication in the healthy brain but become progressively dysregulated during aging and Alzheimer's disease (AD). This review examines how chemokine systems transition from tightly regulated homeostatic signals to drivers of chronic neuroinflammation in AD. We describe the major chemokine families (CC, CXC, CX3C) and their dominant central nervous system (CNS) receptors (CCR2, CXCR3, CX3CR1), which activate canonical inflammatory pathways including NF-κB, JAK/STAT and PI3K-AKT. In AD, chemokine dysregulation occurs in a coordinated manner across multiple functional modules, including recruitment-associated (CCL2, CXCL1), interferon-inducible (CXCL10), loss-of-restraint (CX3CL1) and vascular-associated chemokines. These alterations shift the network from regulated immune communication to self-sustaining inflammatory circuits perpetuating chronic neuroinflammation. These networks reprogram microglia and astrocytes into disease-associated phenotypes, amplify peripheral immune cell infiltration and destabilise synaptic function. Biological sex profoundly influences neuroinflammatory trajectories, with females exhibiting enhanced microglial senescence and interferon signalling, while males show accelerated complement activation. Viral pathogens, particularly neurotropic viruses (HSV-1, HHV-6, VZV) and SARS-CoV-2, actively reprogram chemokine networks, linking infection to amyloid-β accumulation, tau pathology and neurodegeneration. Therapeutically, chemokine axes represent precision targets requiring stage-matched, sex-stratified interventions rather than broad anti-inflammatory approaches. Understanding chemokine network dynamics offers mechanistic insights into AD pathogenesis and could provide pointers for therapeutic strategies.
Additional Links: PMID-42415281
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Citation:
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@article {pmid42415281,
year = {2026},
author = {Aldana, BI and Freude, K},
title = {Chemokines in Alzheimer's Disease: Early Defence, Late Damage and the Impact of Sex and Infection.},
journal = {Basic & clinical pharmacology & toxicology},
volume = {139},
number = {2},
pages = {e70273},
pmid = {42415281},
issn = {1742-7843},
support = {R434-2023-242//Lundbeck Foundation/ ; N/A//Alzheimersfonden/ ; },
mesh = {Animals ; Female ; Humans ; Male ; *Alzheimer Disease/immunology/metabolism ; Brain/immunology/metabolism ; *Chemokines/metabolism/immunology ; Neuroinflammatory Diseases/immunology ; Receptors, Chemokine/metabolism ; Sex Characteristics ; Sex Factors ; Signal Transduction ; Virus Diseases/immunology ; },
abstract = {Chemokines constitute a versatile signalling network maintaining homeostasis and glia-neuron communication in the healthy brain but become progressively dysregulated during aging and Alzheimer's disease (AD). This review examines how chemokine systems transition from tightly regulated homeostatic signals to drivers of chronic neuroinflammation in AD. We describe the major chemokine families (CC, CXC, CX3C) and their dominant central nervous system (CNS) receptors (CCR2, CXCR3, CX3CR1), which activate canonical inflammatory pathways including NF-κB, JAK/STAT and PI3K-AKT. In AD, chemokine dysregulation occurs in a coordinated manner across multiple functional modules, including recruitment-associated (CCL2, CXCL1), interferon-inducible (CXCL10), loss-of-restraint (CX3CL1) and vascular-associated chemokines. These alterations shift the network from regulated immune communication to self-sustaining inflammatory circuits perpetuating chronic neuroinflammation. These networks reprogram microglia and astrocytes into disease-associated phenotypes, amplify peripheral immune cell infiltration and destabilise synaptic function. Biological sex profoundly influences neuroinflammatory trajectories, with females exhibiting enhanced microglial senescence and interferon signalling, while males show accelerated complement activation. Viral pathogens, particularly neurotropic viruses (HSV-1, HHV-6, VZV) and SARS-CoV-2, actively reprogram chemokine networks, linking infection to amyloid-β accumulation, tau pathology and neurodegeneration. Therapeutically, chemokine axes represent precision targets requiring stage-matched, sex-stratified interventions rather than broad anti-inflammatory approaches. Understanding chemokine network dynamics offers mechanistic insights into AD pathogenesis and could provide pointers for therapeutic strategies.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Animals
Female
Humans
Male
*Alzheimer Disease/immunology/metabolism
Brain/immunology/metabolism
*Chemokines/metabolism/immunology
Neuroinflammatory Diseases/immunology
Receptors, Chemokine/metabolism
Sex Characteristics
Sex Factors
Signal Transduction
Virus Diseases/immunology
RevDate: 2026-07-30
CmpDate: 2026-07-08
Effectiveness of manual detorsion in the treatment of testicular torsion: systematic review and meta-analysis.
The Canadian journal of urology, 33(3):505-514.
OBJECTIVES: Testicular torsion is the most common surgical cause of an acute scrotum. Manuel detorsion renewed attention as a practical initial treatment, particularly in the COVID-19 pandemic. This study aims to systematically review and meta-analyze the current literature to determine whether manual detorsion offers a viable alternative to immediate surgery in improving testicular salvage rates.
METHODS: A systematic review and meta-analysis were conducted in accordance with PRISMA guidelines and registered with PROSPERO (CRD420251039489). Studies including ≥30 male patients comparing manual detorsion and surgical exploration were included. Searches were performed in PubMed/MEDLINE, Scopus, TR Index, and Web of Science. Risk of bias was assessed using a predefined scoring system based on methodology, sample size, and follow-up objectivity. Data were synthesized using RevMan 5.4 to calculate pooled risk ratios.
RESULTS: Eight retrospective studies involving a total of 670 patients were included. Patients were divided into a manual detorsion group (G1, n = 394) and a surgical exploration group (G2, n = 316). Success rates of manual detorsion ranged from 15% to 76%, while orchiectomy rates were lower in G1 (0% to 10.3%) compared to G2 (0% to 43.8%). The pooled success rate of manual detorsion was 75.7%. Although orchiectomy rates appeared numerically lower in the manual detorsion group (3.8% vs. 29.2%), the pooled analysis did not demonstrate a statistically significant overall difference between the two groups (risk ratio [RR] = 1.23; 95% CI: 0.82-1.84; p = 0.31).
CONCLUSION: Manual detorsion appears time-saving and effective maneuver. To our knowledge, this is the first meta-analysis focused exclusively on manual detorsion, and it supports its consideration as an initial management strategy in selected clinical scenarios.
Additional Links: PMID-42415571
PubMed:
Citation:
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@article {pmid42415571,
year = {2026},
author = {Kılıç, S},
title = {Effectiveness of manual detorsion in the treatment of testicular torsion: systematic review and meta-analysis.},
journal = {The Canadian journal of urology},
volume = {33},
number = {3},
pages = {505-514},
pmid = {42415571},
issn = {1488-5581},
mesh = {Humans ; Male ; *Spermatic Cord Torsion/therapy/surgery ; Treatment Outcome ; Orchiectomy ; *Musculoskeletal Manipulations/methods ; },
abstract = {OBJECTIVES: Testicular torsion is the most common surgical cause of an acute scrotum. Manuel detorsion renewed attention as a practical initial treatment, particularly in the COVID-19 pandemic. This study aims to systematically review and meta-analyze the current literature to determine whether manual detorsion offers a viable alternative to immediate surgery in improving testicular salvage rates.
METHODS: A systematic review and meta-analysis were conducted in accordance with PRISMA guidelines and registered with PROSPERO (CRD420251039489). Studies including ≥30 male patients comparing manual detorsion and surgical exploration were included. Searches were performed in PubMed/MEDLINE, Scopus, TR Index, and Web of Science. Risk of bias was assessed using a predefined scoring system based on methodology, sample size, and follow-up objectivity. Data were synthesized using RevMan 5.4 to calculate pooled risk ratios.
RESULTS: Eight retrospective studies involving a total of 670 patients were included. Patients were divided into a manual detorsion group (G1, n = 394) and a surgical exploration group (G2, n = 316). Success rates of manual detorsion ranged from 15% to 76%, while orchiectomy rates were lower in G1 (0% to 10.3%) compared to G2 (0% to 43.8%). The pooled success rate of manual detorsion was 75.7%. Although orchiectomy rates appeared numerically lower in the manual detorsion group (3.8% vs. 29.2%), the pooled analysis did not demonstrate a statistically significant overall difference between the two groups (risk ratio [RR] = 1.23; 95% CI: 0.82-1.84; p = 0.31).
CONCLUSION: Manual detorsion appears time-saving and effective maneuver. To our knowledge, this is the first meta-analysis focused exclusively on manual detorsion, and it supports its consideration as an initial management strategy in selected clinical scenarios.},
}
MeSH Terms:
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Humans
Male
*Spermatic Cord Torsion/therapy/surgery
Treatment Outcome
Orchiectomy
*Musculoskeletal Manipulations/methods
RevDate: 2026-08-13
CmpDate: 2026-07-08
Persistent excess mortality in post-pandemic Japan: current evidence, methodological limitations, and future directions.
Frontiers in public health, 14:1878166.
More than six years after the emergence of COVID-19, Japan continues to experience persistently elevated excess mortality despite entering a post-pandemic phase. Excess mortality, defined as the difference between observed and expected deaths, reflects both direct and indirect effects of the pandemic, including healthcare disruption, delayed care, and broader social changes. In Japan, mortality decreased slightly in 2020 but increased markedly from 2022 onward, with annual excess deaths approaching 100,000, despite widespread vaccination and the predominance of the less virulent Omicron variant. Multiple factors may underlie this sustained increase, including population aging, changes in healthcare access, delayed diagnosis and treatment, regional disparities, and psychosocial stress. Some ecological and observational studies have reported a statistical association between repeated COVID-19 booster vaccination and excess mortality in Japan; however, these findings do not establish causality, and a causal relationship cannot currently be concluded. Against this background, this narrative review examines persistent excess mortality in Japan, uses the literature on repeated booster vaccination as an illustrative example to highlight methodological limitations, and discusses the need for nationwide, linked individual-level data infrastructure and appropriate analytical frameworks for more robust future evaluations.
Additional Links: PMID-42415773
PubMed:
Citation:
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@article {pmid42415773,
year = {2026},
author = {Kusunoki, H and Sakai, R and Watanabe, Y and Kakeya, H},
title = {Persistent excess mortality in post-pandemic Japan: current evidence, methodological limitations, and future directions.},
journal = {Frontiers in public health},
volume = {14},
number = {},
pages = {1878166},
pmid = {42415773},
issn = {2296-2565},
mesh = {Japan/epidemiology ; Humans ; *COVID-19/mortality/prevention & control ; *Mortality/trends ; COVID-19 Vaccines/administration & dosage ; Pandemics ; SARS-CoV-2 ; Immunization, Secondary ; },
abstract = {More than six years after the emergence of COVID-19, Japan continues to experience persistently elevated excess mortality despite entering a post-pandemic phase. Excess mortality, defined as the difference between observed and expected deaths, reflects both direct and indirect effects of the pandemic, including healthcare disruption, delayed care, and broader social changes. In Japan, mortality decreased slightly in 2020 but increased markedly from 2022 onward, with annual excess deaths approaching 100,000, despite widespread vaccination and the predominance of the less virulent Omicron variant. Multiple factors may underlie this sustained increase, including population aging, changes in healthcare access, delayed diagnosis and treatment, regional disparities, and psychosocial stress. Some ecological and observational studies have reported a statistical association between repeated COVID-19 booster vaccination and excess mortality in Japan; however, these findings do not establish causality, and a causal relationship cannot currently be concluded. Against this background, this narrative review examines persistent excess mortality in Japan, uses the literature on repeated booster vaccination as an illustrative example to highlight methodological limitations, and discusses the need for nationwide, linked individual-level data infrastructure and appropriate analytical frameworks for more robust future evaluations.},
}
MeSH Terms:
show MeSH Terms
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Japan/epidemiology
Humans
*COVID-19/mortality/prevention & control
*Mortality/trends
COVID-19 Vaccines/administration & dosage
Pandemics
SARS-CoV-2
Immunization, Secondary
RevDate: 2026-08-13
CmpDate: 2026-07-08
Prevalence of secondary traumatic stress in nurses: a meta-analysis of observational studies.
Frontiers in public health, 14:1877091.
BACKGROUND: The reported prevalence of secondary traumatic stress (STS) among nurses varies considerably across studies, ranging from 22. 1 to 84.4%. This meta-analysis aimed to estimate the pooled prevalence of STS and identify potential moderating factors among nurses.
METHODS: From the inception of each target database to April 2026, a comprehensive search was performed across PubMed, Web of Science, Scopus, Embase, Cochrane Library, CINAHL, and PsycINFO. We calculated the pooled prevalence of STS using a random-effects model and assessed heterogeneity using the I[2] statistic. Subgroup analyses and meta-regression were conducted to explore potential sources of heterogeneity.
RESULTS: A total of 28 studies comprising 7,090 nurses were included. The pooled prevalence of STS in nurses was 57.3% (95% CI: 49.7-64.9%). STS prevalence was significantly associated with mean age (β = -0.064, p = 0.023), work experience (β = -0.080, p = 0.040), publication year (during COVID-19: β = 0.979, p = 0.024; after COVID-19: β = 0.848, p = 0.030), and geographic region (North America: β = -0.881, p = 0.019; Europe: β = -1.031, p = 0.005).
CONCLUSIONS: Our findings indicated that STS was very prevalent in nurses, and the prevalence is moderated by mean age, work experience, publication year, and geographic region. Regular STS assessments and multi-level support systems, such as early warning, peer support, and mental health training, are recommended to reduce STS risk and enhance the wellbeing of nurses.
Additional Links: PMID-42415774
PubMed:
Citation:
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@article {pmid42415774,
year = {2026},
author = {You, Q and Li, J and Yang, L and Zhang, Y and Chen, L},
title = {Prevalence of secondary traumatic stress in nurses: a meta-analysis of observational studies.},
journal = {Frontiers in public health},
volume = {14},
number = {},
pages = {1877091},
pmid = {42415774},
issn = {2296-2565},
mesh = {Humans ; *Compassion Fatigue/epidemiology ; COVID-19/epidemiology ; *Nurses/psychology/statistics & numerical data ; Observational Studies as Topic ; Prevalence ; },
abstract = {BACKGROUND: The reported prevalence of secondary traumatic stress (STS) among nurses varies considerably across studies, ranging from 22. 1 to 84.4%. This meta-analysis aimed to estimate the pooled prevalence of STS and identify potential moderating factors among nurses.
METHODS: From the inception of each target database to April 2026, a comprehensive search was performed across PubMed, Web of Science, Scopus, Embase, Cochrane Library, CINAHL, and PsycINFO. We calculated the pooled prevalence of STS using a random-effects model and assessed heterogeneity using the I[2] statistic. Subgroup analyses and meta-regression were conducted to explore potential sources of heterogeneity.
RESULTS: A total of 28 studies comprising 7,090 nurses were included. The pooled prevalence of STS in nurses was 57.3% (95% CI: 49.7-64.9%). STS prevalence was significantly associated with mean age (β = -0.064, p = 0.023), work experience (β = -0.080, p = 0.040), publication year (during COVID-19: β = 0.979, p = 0.024; after COVID-19: β = 0.848, p = 0.030), and geographic region (North America: β = -0.881, p = 0.019; Europe: β = -1.031, p = 0.005).
CONCLUSIONS: Our findings indicated that STS was very prevalent in nurses, and the prevalence is moderated by mean age, work experience, publication year, and geographic region. Regular STS assessments and multi-level support systems, such as early warning, peer support, and mental health training, are recommended to reduce STS risk and enhance the wellbeing of nurses.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Compassion Fatigue/epidemiology
COVID-19/epidemiology
*Nurses/psychology/statistics & numerical data
Observational Studies as Topic
Prevalence
RevDate: 2026-08-13
CmpDate: 2026-07-08
A visualization analysis of Traditional Chinese Medicine for influenza prevention and treatment: advances, hotspots, and future trends.
Frontiers in medicine, 13:1852941.
OBJECTIVES: As an acute respiratory infectious disease, influenza continues to impose a substantial public health burden worldwide. This study aims to systematically review the progress of research on the treatment of influenza with Traditional Chinese Medicine (TCM) from 2005 to 2025, identify current research hotspots, and forecast future development trends, in order to provide a clear and systematic reference framework for subsequent research.
METHODS: A bibliometric and scientometric analysis was conducted using the Web of Science Core Collection (WOSCC), PubMed, and Scopus databases. Following the PRISMA 2020 guidelines, the retrieved records underwent a comprehensive deduplication process and stringent quality control checks. By comprehensively applying CiteSpace, VOSviewer, and the R-based Bibliometrix package, metrics and visualization were performed across multiple dimensions, including publication volume, geographical contribution, annual trends, national/regional influence, core authors and institutions, and keywords.
RESULTS: A total of 1,527 publications were included in this study. Since 2014, publication output in this field has shown significant growth, with a rapid upward trend emerging after 2020. At the national and institutional level, China ranked first globally in both the number of publications and total citation frequency. Research institutions in China not only serve as the dominant force in this field but also act as hubs for international collaboration. Notable contributions were made by institutions such as the Chinese Academy of Sciences, Beijing University of Chinese Medicine, and the China Academy of Chinese Medical Sciences. Journal analysis revealed that the Journal of Ethnopharmacology is the most influential journal in this domain. In terms of scholarly impact, Yang Zifeng ranked first in both h-index and publication output, establishing them as the most prolific and influential core scholar in the field. Keyword analysis indicated that research focuses on core themes such as "herbal medicine" and "antiviral activity." The evolutionary trajectory demonstrates a shift from traditional clinical practice toward modern mechanistic investigation. Driven by emerging public health events such as COVID-19, the field has rapidly integrated cutting-edge methodologies like network pharmacology, reflecting distinct characteristics of contemporary responsiveness and interdisciplinary convergence.
CONCLUSION: This analysis confirms that TCM for influenza has matured into a structured and interdisciplinary research field. Substantial evidence supports its multi-component and multi-target therapeutic model as a clinically effective strategy against influenza. Future efforts should prioritize the integration of mechanistic insights with standardized clinical translation to enhance global antiviral preparedness.
Additional Links: PMID-42415809
PubMed:
Citation:
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@article {pmid42415809,
year = {2026},
author = {Sun, C and Chen, Q and Wang, Y and Yuan, S and Su, Y and Zhang, L},
title = {A visualization analysis of Traditional Chinese Medicine for influenza prevention and treatment: advances, hotspots, and future trends.},
journal = {Frontiers in medicine},
volume = {13},
number = {},
pages = {1852941},
pmid = {42415809},
issn = {2296-858X},
abstract = {OBJECTIVES: As an acute respiratory infectious disease, influenza continues to impose a substantial public health burden worldwide. This study aims to systematically review the progress of research on the treatment of influenza with Traditional Chinese Medicine (TCM) from 2005 to 2025, identify current research hotspots, and forecast future development trends, in order to provide a clear and systematic reference framework for subsequent research.
METHODS: A bibliometric and scientometric analysis was conducted using the Web of Science Core Collection (WOSCC), PubMed, and Scopus databases. Following the PRISMA 2020 guidelines, the retrieved records underwent a comprehensive deduplication process and stringent quality control checks. By comprehensively applying CiteSpace, VOSviewer, and the R-based Bibliometrix package, metrics and visualization were performed across multiple dimensions, including publication volume, geographical contribution, annual trends, national/regional influence, core authors and institutions, and keywords.
RESULTS: A total of 1,527 publications were included in this study. Since 2014, publication output in this field has shown significant growth, with a rapid upward trend emerging after 2020. At the national and institutional level, China ranked first globally in both the number of publications and total citation frequency. Research institutions in China not only serve as the dominant force in this field but also act as hubs for international collaboration. Notable contributions were made by institutions such as the Chinese Academy of Sciences, Beijing University of Chinese Medicine, and the China Academy of Chinese Medical Sciences. Journal analysis revealed that the Journal of Ethnopharmacology is the most influential journal in this domain. In terms of scholarly impact, Yang Zifeng ranked first in both h-index and publication output, establishing them as the most prolific and influential core scholar in the field. Keyword analysis indicated that research focuses on core themes such as "herbal medicine" and "antiviral activity." The evolutionary trajectory demonstrates a shift from traditional clinical practice toward modern mechanistic investigation. Driven by emerging public health events such as COVID-19, the field has rapidly integrated cutting-edge methodologies like network pharmacology, reflecting distinct characteristics of contemporary responsiveness and interdisciplinary convergence.
CONCLUSION: This analysis confirms that TCM for influenza has matured into a structured and interdisciplinary research field. Substantial evidence supports its multi-component and multi-target therapeutic model as a clinically effective strategy against influenza. Future efforts should prioritize the integration of mechanistic insights with standardized clinical translation to enhance global antiviral preparedness.},
}
RevDate: 2026-08-13
CmpDate: 2026-07-08
Vaccination-driven evolution of infectious bronchitis virus in Korea: implication for the control of other coronavirus infections.
Frontiers in veterinary science, 13:1859772.
Infectious bronchitis virus (IBV) remains a major pathogen in global poultry production due to its extensive genetic diversity and rapid evolutionary capacity. Antigenic diversification driven by mutation, homologous recombination, and sustained immune selection pressure complicates long-term control and reduces vaccine effectiveness. Increasing evidence suggests that IBV evolution is largely driven by the selective expansion of pre-existing variants under changing ecological and immunological conditions, rather than by the de novo emergence of novel lineages. South Korea provides a valuable model for understanding these processes within intensive poultry systems characterized by high host density, extensive farm connectivity, widespread vaccination, and long-term molecular surveillance. Since its first isolation in 1986, IBV in Korea has undergone repeated cycles of lineage emergence, diversification, and replacement, culminating in the predominance of nephropathogenic GI-19 viruses, including KM91 and QX-like variants. Persistent co-circulation of multiple lineages, together with frequent recombination and regional viral introduction, has shaped a highly dynamic viral population. Within this environment, vaccination plays a central yet paradoxical role. While essential for disease control, widespread vaccination imposes continuous immune selection pressure and may contribute to co-circulation of vaccine-derived and field strains, facilitating recombination and the emergence of immune escape variants. These processes drive lineage turnover and antigenic mismatch between circulating viruses and vaccine strains, forming a vaccination-driven evolutionary cycle. This review integrates global IBV diversity with insights from the Korean system to propose an evolution-centered framework in which viral genetic plasticity, host population dynamics, and vaccination practices interact. These findings have important implications for optimizing vaccination strategies and provide broader insights into the evolutionary dynamics of rapidly evolving RNA viruses under sustained immune pressure.
Additional Links: PMID-42416292
PubMed:
Citation:
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@article {pmid42416292,
year = {2026},
author = {Kim, SJ and Choi, KS},
title = {Vaccination-driven evolution of infectious bronchitis virus in Korea: implication for the control of other coronavirus infections.},
journal = {Frontiers in veterinary science},
volume = {13},
number = {},
pages = {1859772},
pmid = {42416292},
issn = {2297-1769},
abstract = {Infectious bronchitis virus (IBV) remains a major pathogen in global poultry production due to its extensive genetic diversity and rapid evolutionary capacity. Antigenic diversification driven by mutation, homologous recombination, and sustained immune selection pressure complicates long-term control and reduces vaccine effectiveness. Increasing evidence suggests that IBV evolution is largely driven by the selective expansion of pre-existing variants under changing ecological and immunological conditions, rather than by the de novo emergence of novel lineages. South Korea provides a valuable model for understanding these processes within intensive poultry systems characterized by high host density, extensive farm connectivity, widespread vaccination, and long-term molecular surveillance. Since its first isolation in 1986, IBV in Korea has undergone repeated cycles of lineage emergence, diversification, and replacement, culminating in the predominance of nephropathogenic GI-19 viruses, including KM91 and QX-like variants. Persistent co-circulation of multiple lineages, together with frequent recombination and regional viral introduction, has shaped a highly dynamic viral population. Within this environment, vaccination plays a central yet paradoxical role. While essential for disease control, widespread vaccination imposes continuous immune selection pressure and may contribute to co-circulation of vaccine-derived and field strains, facilitating recombination and the emergence of immune escape variants. These processes drive lineage turnover and antigenic mismatch between circulating viruses and vaccine strains, forming a vaccination-driven evolutionary cycle. This review integrates global IBV diversity with insights from the Korean system to propose an evolution-centered framework in which viral genetic plasticity, host population dynamics, and vaccination practices interact. These findings have important implications for optimizing vaccination strategies and provide broader insights into the evolutionary dynamics of rapidly evolving RNA viruses under sustained immune pressure.},
}
RevDate: 2026-08-21
CmpDate: 2026-08-21
Plastic antibodies that see viruses: optical sensing with molecularly imprinted polymers.
Chemical communications (Cambridge, England), 62(57):14113-14125.
The need for rapid, sensitive, and selective detection of viral pathogens has never been more apparent. Molecularly imprinted polymers have emerged as robust synthetic receptors that rival biological antibodies in affinity and specificity, while offering superior chemical stability, low cost, and design flexibility. This Feature Article focuses on recent advances in the integration of virus-imprinted polymers with optical transducers, creating powerful platforms for viral diagnostics. We discuss key imprinting strategies including solid-phase synthesis, epitope imprinting, and nanogel approaches that enable precise recognition of whole viruses or their surface proteins. The optical readout mechanisms-fluorescence, resonance light scattering, colorimetric/visual detection, and surface plasmon resonance-are critically reviewed, with emphasis on signal amplification, multiplexing, and point-of-care deployment. Special attention is paid to the work of our group and others in engineering paper-based sensors, ratiometric probes, and smartphone-readable devices that detect viruses from Hepatitis A and B to SARS-CoV-2 and influenza at femtomolar or even attomolar levels. Current challenges and future directions for virus-imprinted optical sensors are discussed, highlighting the road toward commercial and clinical translation.
Additional Links: PMID-42417247
Publisher:
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@article {pmid42417247,
year = {2026},
author = {Gong, H and Cai, C},
title = {Plastic antibodies that see viruses: optical sensing with molecularly imprinted polymers.},
journal = {Chemical communications (Cambridge, England)},
volume = {62},
number = {57},
pages = {14113-14125},
doi = {10.1039/d6cc03116a},
pmid = {42417247},
issn = {1364-548X},
mesh = {*Molecularly Imprinted Polymers/chemistry ; *Antibodies/chemistry/immunology ; SARS-CoV-2/immunology/isolation & purification ; *Biosensing Techniques/methods ; Polymers/chemistry ; Surface Plasmon Resonance ; Humans ; },
abstract = {The need for rapid, sensitive, and selective detection of viral pathogens has never been more apparent. Molecularly imprinted polymers have emerged as robust synthetic receptors that rival biological antibodies in affinity and specificity, while offering superior chemical stability, low cost, and design flexibility. This Feature Article focuses on recent advances in the integration of virus-imprinted polymers with optical transducers, creating powerful platforms for viral diagnostics. We discuss key imprinting strategies including solid-phase synthesis, epitope imprinting, and nanogel approaches that enable precise recognition of whole viruses or their surface proteins. The optical readout mechanisms-fluorescence, resonance light scattering, colorimetric/visual detection, and surface plasmon resonance-are critically reviewed, with emphasis on signal amplification, multiplexing, and point-of-care deployment. Special attention is paid to the work of our group and others in engineering paper-based sensors, ratiometric probes, and smartphone-readable devices that detect viruses from Hepatitis A and B to SARS-CoV-2 and influenza at femtomolar or even attomolar levels. Current challenges and future directions for virus-imprinted optical sensors are discussed, highlighting the road toward commercial and clinical translation.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Molecularly Imprinted Polymers/chemistry
*Antibodies/chemistry/immunology
SARS-CoV-2/immunology/isolation & purification
*Biosensing Techniques/methods
Polymers/chemistry
Surface Plasmon Resonance
Humans
RevDate: 2026-07-08
CmpDate: 2026-07-08
Auto-immune hepatitis following COVID-19 Vaccination and SARS-COV2 infection : A narrative Review.
Acta gastro-enterologica Belgica, 89(2):341-354.
BACKGROUND AND OBJECTIVES: Since the onset of the COVID-19 pandemic, both SARS-CoV-2 infection and vaccination have been implicated as potential triggers for de novo autoimmune hepatitis (AIH). This review summarizes published cases, outlining clinical and biological features, treatment approaches, and outcomes.
METHODS: A PubMed search identified reports of new-onset AIH following SARS-CoV-2 infection or COVID-19 vaccination up to February 1, 2025. Inclusion criteria encompassed case reports, series, and reviews. Data were extracted on demographics, vaccine type, onset timing, laboratory findings, histology, treatments, and outcomes.
RESULTS: A total of 74 post-vaccination AIH cases and 22 post-infection cases were included. Post-vaccination AIH predominantly affected older women (median age 62) and occurred mainly after mRNA vaccines, with a median onset of 14 days. Most patients showed marked transaminase elevation, high IgG, and positive ANA (74.3%). Liver biopsies (performed in 92% of cases) showed features compatible with AIH. A total of 80% of the 50 cases of our study with available serology and liver histology were classified as probable / definite AIH, according to the simplified AIH score. Corticosteroid therapy was effective in most cases (survival 95.9%). Post-infection AIH cases showed similar features but affected younger individuals (median age 47), with uniformly favorable responses to immunosuppression.
CONCLUSIONS: New-onset AIH can occur following both SARS-CoV-2 infection or vaccination. Although these events remain rare, recognition of this association is essential for timely diagnosis and management.
Additional Links: PMID-42417638
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PubMed:
Citation:
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@article {pmid42417638,
year = {2026},
author = {Bendoumou, M and Langlet, P and Gustot, T},
title = {Auto-immune hepatitis following COVID-19 Vaccination and SARS-COV2 infection : A narrative Review.},
journal = {Acta gastro-enterologica Belgica},
volume = {89},
number = {2},
pages = {341-354},
doi = {10.51821/89.2.15138},
pmid = {42417638},
issn = {1784-3227},
mesh = {Humans ; *Hepatitis, Autoimmune/etiology/immunology/drug therapy/diagnosis ; *COVID-19/prevention & control/epidemiology/immunology ; *COVID-19 Vaccines/adverse effects ; Female ; SARS-CoV-2 ; *Vaccination/adverse effects ; },
abstract = {BACKGROUND AND OBJECTIVES: Since the onset of the COVID-19 pandemic, both SARS-CoV-2 infection and vaccination have been implicated as potential triggers for de novo autoimmune hepatitis (AIH). This review summarizes published cases, outlining clinical and biological features, treatment approaches, and outcomes.
METHODS: A PubMed search identified reports of new-onset AIH following SARS-CoV-2 infection or COVID-19 vaccination up to February 1, 2025. Inclusion criteria encompassed case reports, series, and reviews. Data were extracted on demographics, vaccine type, onset timing, laboratory findings, histology, treatments, and outcomes.
RESULTS: A total of 74 post-vaccination AIH cases and 22 post-infection cases were included. Post-vaccination AIH predominantly affected older women (median age 62) and occurred mainly after mRNA vaccines, with a median onset of 14 days. Most patients showed marked transaminase elevation, high IgG, and positive ANA (74.3%). Liver biopsies (performed in 92% of cases) showed features compatible with AIH. A total of 80% of the 50 cases of our study with available serology and liver histology were classified as probable / definite AIH, according to the simplified AIH score. Corticosteroid therapy was effective in most cases (survival 95.9%). Post-infection AIH cases showed similar features but affected younger individuals (median age 47), with uniformly favorable responses to immunosuppression.
CONCLUSIONS: New-onset AIH can occur following both SARS-CoV-2 infection or vaccination. Although these events remain rare, recognition of this association is essential for timely diagnosis and management.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Hepatitis, Autoimmune/etiology/immunology/drug therapy/diagnosis
*COVID-19/prevention & control/epidemiology/immunology
*COVID-19 Vaccines/adverse effects
Female
SARS-CoV-2
*Vaccination/adverse effects
RevDate: 2026-07-08
History and future of RNA medicines.
The Journal of investigative dermatology pii:S0022-202X(26)01279-0 [Epub ahead of print].
RNA therapeutics are a versatile class of medicines that exploit different types of RNA molecules to prevent or treat a wide spectrum of diseases. Compared with traditional small-molecule drugs, protein drugs, or gene therapies, these therapies offer notable advantages, including faster, less expensive development, and simplified manufacturing. The field encompasses multiple modalities, such as antisense oligonucleotides, small interfering RNAs, microRNAs, mRNAs, and aptamers. The success of mRNA vaccines against SARS-CoV-2 has accelerated research and clinical translation of RNA approaches for conditions with limited treatment options, including chronic wounds, aggressive metastatic melanoma, and autoimmune and genetic skin diseases.
Additional Links: PMID-42417685
Publisher:
PubMed:
Citation:
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@article {pmid42417685,
year = {2026},
author = {Hovnanian, A and Mondon, G and Titeux, M},
title = {History and future of RNA medicines.},
journal = {The Journal of investigative dermatology},
volume = {},
number = {},
pages = {},
doi = {10.1016/j.jid.2026.05.023},
pmid = {42417685},
issn = {1523-1747},
abstract = {RNA therapeutics are a versatile class of medicines that exploit different types of RNA molecules to prevent or treat a wide spectrum of diseases. Compared with traditional small-molecule drugs, protein drugs, or gene therapies, these therapies offer notable advantages, including faster, less expensive development, and simplified manufacturing. The field encompasses multiple modalities, such as antisense oligonucleotides, small interfering RNAs, microRNAs, mRNAs, and aptamers. The success of mRNA vaccines against SARS-CoV-2 has accelerated research and clinical translation of RNA approaches for conditions with limited treatment options, including chronic wounds, aggressive metastatic melanoma, and autoimmune and genetic skin diseases.},
}
RevDate: 2026-08-13
CmpDate: 2026-07-08
Virus infections and cancers: from mechanisms to therapeutics.
Molecular biomedicine, 7(1):.
Viral infections are a major contributor to global cancer incidence and mortality. However, integrative reviews that connect viral classification, carcinogenic mechanisms, tumor microenvironment remodeling, and translational strategies remain limited. This review summarizes the classification and epidemiological characteristics of major oncogenic viruses, including human papillomavirus (HPV), Epstein-Barr virus (EBV), hepatitis B virus (HBV), hepatitis C virus (HCV), Merkel cell polyomavirus (MCPyV), human T-lymphotropic virus type 1 (HTLV-1), Kaposi's sarcoma-associated herpesvirus (KSHV), and human immunodeficiency virus (HIV), as well as emerging viruses such as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We then discuss the molecular basis of virus-associated carcinogenesis, including viral oncogenes, viral DNA integration, epigenetic remodeling, aberrant host signaling, and metabolic dysregulation. We further examine how chronic inflammation and fibrosis create oncogenic niches within the tumor microenvironment (TME), how viruses promote tumor progression through immune evasion and immune exhaustion, and how infected cells interact with stromal and immune components of the TME. At the preventive and therapeutic levels, we discuss antiviral therapies, vaccines, biomarker-based precision diagnostics, and prognostic strategies, with particular attention to the synergistic potential of emerging therapeutic approaches such as immune checkpoint inhibitors (ICIs), CAR-T therapy, and oncolytic viruses (OVs). Finally, we highlight how multi-omics approaches, single-cell transcriptomics, spatial transcriptomics, organoid models, and artificial intelligence can advance mechanistic studies and translational innovation in virus-associated cancers. Overall, this review provides an integrated framework for understanding, preventing, and treating virus-associated tumorigenesis.
Additional Links: PMID-42417944
PubMed:
Citation:
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@article {pmid42417944,
year = {2026},
author = {Li, Y and Yu, W and Yun, J and Wang, J and Liu, Y and Su, H and Guo, H and Yang, J and Yan, Y and Yan, X and Zhang, S and Yang, H and Wang, Z},
title = {Virus infections and cancers: from mechanisms to therapeutics.},
journal = {Molecular biomedicine},
volume = {7},
number = {1},
pages = {},
pmid = {42417944},
issn = {2662-8651},
support = {202503021211266//The Natural Science Foundation of Shanxi Province/ ; 2021M691995//china postdoctoral foundation committee/ ; },
mesh = {Humans ; *Neoplasms/virology/therapy ; Tumor Microenvironment ; *Oncogenic Viruses/genetics ; *Virus Diseases/therapy/complications/virology ; *Tumor Virus Infections/therapy ; Animals ; },
abstract = {Viral infections are a major contributor to global cancer incidence and mortality. However, integrative reviews that connect viral classification, carcinogenic mechanisms, tumor microenvironment remodeling, and translational strategies remain limited. This review summarizes the classification and epidemiological characteristics of major oncogenic viruses, including human papillomavirus (HPV), Epstein-Barr virus (EBV), hepatitis B virus (HBV), hepatitis C virus (HCV), Merkel cell polyomavirus (MCPyV), human T-lymphotropic virus type 1 (HTLV-1), Kaposi's sarcoma-associated herpesvirus (KSHV), and human immunodeficiency virus (HIV), as well as emerging viruses such as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We then discuss the molecular basis of virus-associated carcinogenesis, including viral oncogenes, viral DNA integration, epigenetic remodeling, aberrant host signaling, and metabolic dysregulation. We further examine how chronic inflammation and fibrosis create oncogenic niches within the tumor microenvironment (TME), how viruses promote tumor progression through immune evasion and immune exhaustion, and how infected cells interact with stromal and immune components of the TME. At the preventive and therapeutic levels, we discuss antiviral therapies, vaccines, biomarker-based precision diagnostics, and prognostic strategies, with particular attention to the synergistic potential of emerging therapeutic approaches such as immune checkpoint inhibitors (ICIs), CAR-T therapy, and oncolytic viruses (OVs). Finally, we highlight how multi-omics approaches, single-cell transcriptomics, spatial transcriptomics, organoid models, and artificial intelligence can advance mechanistic studies and translational innovation in virus-associated cancers. Overall, this review provides an integrated framework for understanding, preventing, and treating virus-associated tumorigenesis.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Neoplasms/virology/therapy
Tumor Microenvironment
*Oncogenic Viruses/genetics
*Virus Diseases/therapy/complications/virology
*Tumor Virus Infections/therapy
Animals
RevDate: 2026-10-19
CmpDate: 2026-09-07
Safeguarding medical empathy and cultivating compassion in contemporary medicine.
Internal medicine journal, 56(9):1660-1663.
Empathy and compassion are both fundamental to patient-centred care, enhancing satisfaction, adherence and outcomes while improving clinician well-being. However, certain aspects of medical culture may put these emotional qualities at risk. The preclinical-to-clinical transition exposes students to hierarchical structures, time constraints and performance expectations prioritising technical competence over interpersonal skills. Negative role modelling, rushed consultations and inadequate emotional support normalise emotional detachment. The COVID-19 pandemic intensified burnout and moral injury, while societal desensitisation through social media compounds these effects. Although medical humanities programmes show promise, meaningful change requires addressing both curricula and clinical environments through structured reflection, compassion-focused training and recognising empathy fatigue as an occupational hazard, reaffirming medicine's ethical foundations.
Additional Links: PMID-42418812
PubMed:
Citation:
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@article {pmid42418812,
year = {2026},
author = {Tse, WC and Ajluni, T and Chene, C and Leach, D and Leech, M},
title = {Safeguarding medical empathy and cultivating compassion in contemporary medicine.},
journal = {Internal medicine journal},
volume = {56},
number = {9},
pages = {1660-1663},
pmid = {42418812},
issn = {1445-5994},
mesh = {Humans ; Burnout, Professional/prevention & control/psychology ; Compassion Fatigue/prevention & control ; *Education, Medical ; *Empathy ; Physician-Patient Relations ; *Students, Medical/psychology ; },
abstract = {Empathy and compassion are both fundamental to patient-centred care, enhancing satisfaction, adherence and outcomes while improving clinician well-being. However, certain aspects of medical culture may put these emotional qualities at risk. The preclinical-to-clinical transition exposes students to hierarchical structures, time constraints and performance expectations prioritising technical competence over interpersonal skills. Negative role modelling, rushed consultations and inadequate emotional support normalise emotional detachment. The COVID-19 pandemic intensified burnout and moral injury, while societal desensitisation through social media compounds these effects. Although medical humanities programmes show promise, meaningful change requires addressing both curricula and clinical environments through structured reflection, compassion-focused training and recognising empathy fatigue as an occupational hazard, reaffirming medicine's ethical foundations.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
Burnout, Professional/prevention & control/psychology
Compassion Fatigue/prevention & control
*Education, Medical
*Empathy
Physician-Patient Relations
*Students, Medical/psychology
RevDate: 2026-10-08
CmpDate: 2026-07-09
Plant Biofactories for Vaccination: Progress in Edible Vaccine Technologies as a Sustainable Approach to Global Immunization.
Plant foods for human nutrition (Dordrecht, Netherlands), 81(3):.
Globally, the pathogen-driven enteric diseases remain a leading cause of morbidity and mortality, disproportionately affecting populations in low-income regions. While significant strides have been made in vaccine research, challenges such as high production costs, complex manufacturing processes, and inefficient distribution continue to hinder global vaccine accessibility. To overcome these challenges, plant-based edible vaccines have emerged as a promising and innovative alternative, offering advantages such as affordability, ease of administration, and reduced reliance on cold-chain infrastructure. This study presents a comprehensive overview of recent advances in the development of edible plant-derived vaccines, highlighting the strategic evolution from conventional genetic engineering to more refined and scalable biotechnological methods. In the work, various applications targeting diseases such as measles, hepatitis B, rabies, dengue, and norovirus, are discussed as well as veterinary vaccines for livestock and aquaculture. The significant progress in creating vaccines targeting prevalent human pathogens is examined and the discussion is extended to include edible vaccines developed for livestock, underscoring their role in both public and veterinary health. Furthermore, the review emphasizes the transformative potential of 'omics' technologies, such as genomics, proteomics, and metabolomics, as well as artificial intelligence in streamlining vaccine design, improving antigen expression, and accelerating development timelines. This assessment review was conducted by performing a comprehensive literature survey of peer-reviewed articles. By integrating multidisciplinary insights, the work underscores the feasibility and future prospects of edible plant vaccines as a sustainable solution to global immunization challenges, with practical applications in improving vaccine accessibility, enhancing outbreak preparedness, and supporting immunization efforts in resource-limited settings. It aims to inform and inspire continued research and collaborative innovation in this emerging field with significant implications for global public health.
Additional Links: PMID-42420694
PubMed:
Citation:
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@article {pmid42420694,
year = {2026},
author = {Mosa, KA and Khare, T and Syed, F and Sirajudeen, F and Afzal, S and Dairi, Z and Younus, K and Chauhan, V and Kumar, A and Shaaban, AM and Katoch, M},
title = {Plant Biofactories for Vaccination: Progress in Edible Vaccine Technologies as a Sustainable Approach to Global Immunization.},
journal = {Plant foods for human nutrition (Dordrecht, Netherlands)},
volume = {81},
number = {3},
pages = {},
pmid = {42420694},
issn = {1573-9104},
support = {24021450161//Office of the Vice Chancellor for Research and Graduate Studies at the University of Sharjah/ ; },
mesh = {*Vaccines, Edible/immunology ; Humans ; Animals ; Plants, Genetically Modified ; *Vaccination/veterinary/methods ; Vaccine Development ; },
abstract = {Globally, the pathogen-driven enteric diseases remain a leading cause of morbidity and mortality, disproportionately affecting populations in low-income regions. While significant strides have been made in vaccine research, challenges such as high production costs, complex manufacturing processes, and inefficient distribution continue to hinder global vaccine accessibility. To overcome these challenges, plant-based edible vaccines have emerged as a promising and innovative alternative, offering advantages such as affordability, ease of administration, and reduced reliance on cold-chain infrastructure. This study presents a comprehensive overview of recent advances in the development of edible plant-derived vaccines, highlighting the strategic evolution from conventional genetic engineering to more refined and scalable biotechnological methods. In the work, various applications targeting diseases such as measles, hepatitis B, rabies, dengue, and norovirus, are discussed as well as veterinary vaccines for livestock and aquaculture. The significant progress in creating vaccines targeting prevalent human pathogens is examined and the discussion is extended to include edible vaccines developed for livestock, underscoring their role in both public and veterinary health. Furthermore, the review emphasizes the transformative potential of 'omics' technologies, such as genomics, proteomics, and metabolomics, as well as artificial intelligence in streamlining vaccine design, improving antigen expression, and accelerating development timelines. This assessment review was conducted by performing a comprehensive literature survey of peer-reviewed articles. By integrating multidisciplinary insights, the work underscores the feasibility and future prospects of edible plant vaccines as a sustainable solution to global immunization challenges, with practical applications in improving vaccine accessibility, enhancing outbreak preparedness, and supporting immunization efforts in resource-limited settings. It aims to inform and inspire continued research and collaborative innovation in this emerging field with significant implications for global public health.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Vaccines, Edible/immunology
Humans
Animals
Plants, Genetically Modified
*Vaccination/veterinary/methods
Vaccine Development
RevDate: 2026-07-08
CmpDate: 2026-07-09
Endothelial Surface Glycocalyx in Vascular Functions and Diseases.
Advances in experimental medicine and biology, 1512:1-42.
Endothelial cells (ECs), which form the inner lining of the vasculature, are perpetually exposed to mechanical stimuli from blood flow. Their capacity to sense and respond to these forces is essential for vascular homeostasis. A diverse array of mechanosensors operates on the EC surface, within the plasma membrane, and throughout the cytoskeleton. Among these, the endothelial surface glycocalyx (ESG)-uniquely positioned at the blood-endothelium interface and intimately linked to classical mechanosensory complexes-has emerged as a pivotal yet underappreciated regulator. Once viewed merely as a passive barrier, the ESG is now acknowledged as a primary mechanosensor that converts hemodynamic forces into biochemical signals critical for vascular health. This updated chapter from the first edition offers a comprehensive review of the ESG. We begin with its molecular composition, ultrastructural organization, and variable thickness, as elucidated by advanced imaging techniques such as immunolabeling, electron microscopy, and super-resolution microscopy. Next, we examine the ESG's biomechanical properties and its central role in endothelial mechanotransduction and barrier regulation. We then explore its dynamic remodeling in response to physiological and pathological stimuli, with a focus on degradation in major vascular diseases. ESG shedding is not only a hallmark but also a causal driver of pathophysiology in conditions including atherosclerosis, sepsis, diabetes, cancer metastasis, and COVID-19-associated endotheliopathy. Finally, we spotlight emerging diagnostic tools for evaluating ESG integrity and review promising therapeutic strategies to preserve or restore its structure and function.
Additional Links: PMID-42420701
PubMed:
Citation:
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@article {pmid42420701,
year = {2026},
author = {Zeng, Y and Fu, BM and Tarbell, JM},
title = {Endothelial Surface Glycocalyx in Vascular Functions and Diseases.},
journal = {Advances in experimental medicine and biology},
volume = {1512},
number = {},
pages = {1-42},
pmid = {42420701},
issn = {0065-2598},
mesh = {*Glycocalyx/metabolism/ultrastructure/pathology/physiology ; Humans ; *Mechanotransduction, Cellular/physiology ; Animals ; *Endothelium, Vascular/metabolism/pathology ; *Vascular Diseases/metabolism/pathology ; *Endothelial Cells/metabolism/pathology ; },
abstract = {Endothelial cells (ECs), which form the inner lining of the vasculature, are perpetually exposed to mechanical stimuli from blood flow. Their capacity to sense and respond to these forces is essential for vascular homeostasis. A diverse array of mechanosensors operates on the EC surface, within the plasma membrane, and throughout the cytoskeleton. Among these, the endothelial surface glycocalyx (ESG)-uniquely positioned at the blood-endothelium interface and intimately linked to classical mechanosensory complexes-has emerged as a pivotal yet underappreciated regulator. Once viewed merely as a passive barrier, the ESG is now acknowledged as a primary mechanosensor that converts hemodynamic forces into biochemical signals critical for vascular health. This updated chapter from the first edition offers a comprehensive review of the ESG. We begin with its molecular composition, ultrastructural organization, and variable thickness, as elucidated by advanced imaging techniques such as immunolabeling, electron microscopy, and super-resolution microscopy. Next, we examine the ESG's biomechanical properties and its central role in endothelial mechanotransduction and barrier regulation. We then explore its dynamic remodeling in response to physiological and pathological stimuli, with a focus on degradation in major vascular diseases. ESG shedding is not only a hallmark but also a causal driver of pathophysiology in conditions including atherosclerosis, sepsis, diabetes, cancer metastasis, and COVID-19-associated endotheliopathy. Finally, we spotlight emerging diagnostic tools for evaluating ESG integrity and review promising therapeutic strategies to preserve or restore its structure and function.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Glycocalyx/metabolism/ultrastructure/pathology/physiology
Humans
*Mechanotransduction, Cellular/physiology
Animals
*Endothelium, Vascular/metabolism/pathology
*Vascular Diseases/metabolism/pathology
*Endothelial Cells/metabolism/pathology
RevDate: 2026-10-05
CmpDate: 2026-10-02
Service continuity of community-based health and social care organisations in times of disaster and health emergencies: a mapping review.
BMC health services research, 26(1):.
BACKGROUND: The physical and economic impacts of disaster and health emergencies have become a global concern that continues to generate discussion regarding disaster preparedness, response, and mitigation strategies. Maintaining continuity of services during these challenging and dynamic circumstances requires adequate organisational preparedness. This study aimed to map the existing research on the emergency management capabilities of community-based health and social care organisations and identify the factors that impact service continuity as a critical component of business continuity planning.
METHOD: This mapping review was carried out in line with the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) guidelines. Eight databases were searched: Medline, PsycINFO, Embase, CINAHL, Scopus, ProQuest, Web of Science, EBSCOhost. Studies written in English and published between January 2000 and August 2022 were included. Eligible studies were primarily focused on business or service continuity of community-based health and social care organisations. Thematic analysis of data was conducted.
RESULTS: Out of 3,195 articles, 176 met the inclusion criteria, mostly conducted in developed countries. These studies investigated various natural hazard emergencies, disease outbreaks, and pandemics, using different study designs, offering valuable insights into emergency management capabilities of community-based health and social care organisations across the disaster cycle. The findings suggest that several factors can serve as both barriers and enablers to the continuity of care, depending on the context and the specific stage of the disaster cycle at which they are addressed. Limited research was found on organisational preparedness for at-risk clients, including the elderly and individuals with disabilities. Additionally, there is a scarcity of research on the prevention and recovery stages of the emergency management cycle.
CONCLUSION: This mapping review offers a comprehensive overview of the factors influencing service continuity, highlights existing research gaps and targeted recommendation for service providers and governments to inform effective planning that ensures continuity of service and supports for people whose health, safety and well-being can be compromised in emergency situations. Future research could focus on strengthening organisational resilience during the prevention phase, examine tools and approaches for optimising emergency management efforts, and investigate strategies to improve cross-sector collaboration across all stages of disaster management cycle.
Additional Links: PMID-42421001
PubMed:
Citation:
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@article {pmid42421001,
year = {2026},
author = {Nila, FH and Villeneuve, M and Chang, KJ and Subramaniam, P},
title = {Service continuity of community-based health and social care organisations in times of disaster and health emergencies: a mapping review.},
journal = {BMC health services research},
volume = {26},
number = {1},
pages = {},
pmid = {42421001},
issn = {1472-6963},
mesh = {Humans ; *Community Health Services/organization & administration ; *Continuity of Patient Care/organization & administration ; *Disaster Planning/organization & administration ; *Disasters ; *Emergencies ; *Social Work/organization & administration ; },
abstract = {BACKGROUND: The physical and economic impacts of disaster and health emergencies have become a global concern that continues to generate discussion regarding disaster preparedness, response, and mitigation strategies. Maintaining continuity of services during these challenging and dynamic circumstances requires adequate organisational preparedness. This study aimed to map the existing research on the emergency management capabilities of community-based health and social care organisations and identify the factors that impact service continuity as a critical component of business continuity planning.
METHOD: This mapping review was carried out in line with the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) guidelines. Eight databases were searched: Medline, PsycINFO, Embase, CINAHL, Scopus, ProQuest, Web of Science, EBSCOhost. Studies written in English and published between January 2000 and August 2022 were included. Eligible studies were primarily focused on business or service continuity of community-based health and social care organisations. Thematic analysis of data was conducted.
RESULTS: Out of 3,195 articles, 176 met the inclusion criteria, mostly conducted in developed countries. These studies investigated various natural hazard emergencies, disease outbreaks, and pandemics, using different study designs, offering valuable insights into emergency management capabilities of community-based health and social care organisations across the disaster cycle. The findings suggest that several factors can serve as both barriers and enablers to the continuity of care, depending on the context and the specific stage of the disaster cycle at which they are addressed. Limited research was found on organisational preparedness for at-risk clients, including the elderly and individuals with disabilities. Additionally, there is a scarcity of research on the prevention and recovery stages of the emergency management cycle.
CONCLUSION: This mapping review offers a comprehensive overview of the factors influencing service continuity, highlights existing research gaps and targeted recommendation for service providers and governments to inform effective planning that ensures continuity of service and supports for people whose health, safety and well-being can be compromised in emergency situations. Future research could focus on strengthening organisational resilience during the prevention phase, examine tools and approaches for optimising emergency management efforts, and investigate strategies to improve cross-sector collaboration across all stages of disaster management cycle.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Community Health Services/organization & administration
*Continuity of Patient Care/organization & administration
*Disaster Planning/organization & administration
*Disasters
*Emergencies
*Social Work/organization & administration
RevDate: 2026-07-09
CmpDate: 2026-07-09
Xenosialylation as immunological chimerism: a host-centered unifying model for viral and post-vaccination immune complications.
European cytokine network, 37(2):55-77.
Severe immune-mediated complications following viral infections and vaccinations, including COVID-19 and anti-SARS-CoV-2 immunization, display remarkable clinical overlap despite occurring in distinct biological contexts. In a previous hypothesis-driven work, we proposed that metabolic incorporation of the non-human sialic acid N-glycolylneuraminic acid (Neu5Gc) into human glycoconjugates-defined as xenosialylation-may contribute to post-infectious and post-vaccination immune dysregulation. We further suggest that this phenomenon may represent a form of "immunological chimerism", in which host glycoconjugates incorporate non-self molecular structures that predispose the immune system to varying degrees of immune imbalance. In its most severe manifestation, this process may culminate in a profound state of immune dysregulation characterized by loss of immune tolerance, aberrant antibody responses, cytokine storm, and thrombo-inflammatory pathology, which we define as "immunological marasmus". In the present paper, we extend this conceptual framework by integrating glycobiology, Fc immunoglobulin glycosylation, endothelial biology, and sex-dependent immune regulation into a unified, testable immunopathogenic model. We hypothesize that interindividual differences in the extent, tissue distribution, and persistence of xenosialylation may influence susceptibility to exaggerated innate and adaptive immune responses following antigenic challenge. In this context, immune activation may unmask pre-existing xeno-sialylated self-structures embedded within host glycans, promoting varying degrees of glycan dysregulation, autoantibody production, immunothrombosis and chronic inflammatory sequelae. We further propose circulating anti-Neu5Gc antibodies as functional biomarkers for risk stratification and outline preventive strategies based on dietary modulation of xenosialic acid exposure. Taken together, this expanded model provides a potential mechanistic framework for understanding the shared immunological features of post-viral syndromes and vaccine-related adverse immune reactions, while offering a basis for experimental validation and future approaches to personalized risk mitigation.
Additional Links: PMID-42421498
PubMed:
Citation:
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@article {pmid42421498,
year = {2026},
author = {Carnevali, F and Muollo, MC and Biagini, L and Rossi, G},
title = {Xenosialylation as immunological chimerism: a host-centered unifying model for viral and post-vaccination immune complications.},
journal = {European cytokine network},
volume = {37},
number = {2},
pages = {55-77},
pmid = {42421498},
issn = {1952-4005},
mesh = {Humans ; Glycosylation ; *COVID-19/immunology/prevention & control ; *SARS-CoV-2/immunology ; *Vaccination/adverse effects ; *COVID-19 Vaccines/immunology/adverse effects ; Neuraminic Acids/immunology ; *Models, Immunological ; Animals ; },
abstract = {Severe immune-mediated complications following viral infections and vaccinations, including COVID-19 and anti-SARS-CoV-2 immunization, display remarkable clinical overlap despite occurring in distinct biological contexts. In a previous hypothesis-driven work, we proposed that metabolic incorporation of the non-human sialic acid N-glycolylneuraminic acid (Neu5Gc) into human glycoconjugates-defined as xenosialylation-may contribute to post-infectious and post-vaccination immune dysregulation. We further suggest that this phenomenon may represent a form of "immunological chimerism", in which host glycoconjugates incorporate non-self molecular structures that predispose the immune system to varying degrees of immune imbalance. In its most severe manifestation, this process may culminate in a profound state of immune dysregulation characterized by loss of immune tolerance, aberrant antibody responses, cytokine storm, and thrombo-inflammatory pathology, which we define as "immunological marasmus". In the present paper, we extend this conceptual framework by integrating glycobiology, Fc immunoglobulin glycosylation, endothelial biology, and sex-dependent immune regulation into a unified, testable immunopathogenic model. We hypothesize that interindividual differences in the extent, tissue distribution, and persistence of xenosialylation may influence susceptibility to exaggerated innate and adaptive immune responses following antigenic challenge. In this context, immune activation may unmask pre-existing xeno-sialylated self-structures embedded within host glycans, promoting varying degrees of glycan dysregulation, autoantibody production, immunothrombosis and chronic inflammatory sequelae. We further propose circulating anti-Neu5Gc antibodies as functional biomarkers for risk stratification and outline preventive strategies based on dietary modulation of xenosialic acid exposure. Taken together, this expanded model provides a potential mechanistic framework for understanding the shared immunological features of post-viral syndromes and vaccine-related adverse immune reactions, while offering a basis for experimental validation and future approaches to personalized risk mitigation.},
}
MeSH Terms:
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Humans
Glycosylation
*COVID-19/immunology/prevention & control
*SARS-CoV-2/immunology
*Vaccination/adverse effects
*COVID-19 Vaccines/immunology/adverse effects
Neuraminic Acids/immunology
*Models, Immunological
Animals
RevDate: 2026-08-13
CmpDate: 2026-07-09
New-onset allergic diseases after SARS-CoV-2 infection: mechanistic hypotheses and emerging strategies for risk stratification.
Frontiers in immunology, 17:1879430.
Multinational cohort studies consistently associate SARS-CoV-2 infection with elevated incidence of allergic diseases, with hazard ratios of 2.25 for asthma and 1.23 for allergic rhinitis persisting beyond six months post-infection; whether this excess risk reflects de novo allergic sensitization or preferential unmasking of pre-existing subclinical atopy remains to be established. Yet mechanisms bridging acute viral illness to delayed allergic phenotypes remain incompletely understood. This review synthesizes recent advances across epithelial biology, immunology, and neuroimmune interactions to propose a unified mechanistic framework organized around three interconnected axes. First, epithelial injury during COVID-19 triggers passive IL-33 release while inducing active TSLP and IL-25 production. These alarmins act through mechanistically distinct pathways to converge on type 2 immune priming, which is established and reinforced by epigenetic memory in group 2 innate lymphoid cells and dendritic cells. Second, regulatory T cell depletion and, hypothetically, hematopoietic stem and progenitor cell epigenetic reprogramming driven by acute interleukin-6 elevation may generate immune cell progeny with persistently altered inflammatory responsiveness, while dendritic cells adopt Th2-polarizing phenotypes that lower the threshold for allergic sensitization; the direct contribution of hematopoietic reprogramming to Th2-skewed allergic outcomes remains to be demonstrated. Third, mast cells undergo direct spike protein-mediated activation via angiotensin-converting enzyme 2 receptors, and alarmin-primed mast cells establish bidirectional crosstalk with sensory neurons that amplifies neuroinflammation and links long COVID symptoms to heightened allergic susceptibility. Together, these axes define a post-infectious vulnerability window during which allergen encounters trigger exaggerated type 2 responses. Risk stratification incorporating disease severity, circulating biomarkers including immunoglobulin E and eosinophil counts, and genetic susceptibility variants may identify individuals requiring targeted surveillance, while mechanistically informed interventions such as low-dose interleukin-2, mast cell stabilizers, and alarmin-targeted biologics warrant prospective evaluation in convalescent cohorts.
Additional Links: PMID-42421939
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Citation:
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@article {pmid42421939,
year = {2026},
author = {Li, E and Shi, M and Huang, S},
title = {New-onset allergic diseases after SARS-CoV-2 infection: mechanistic hypotheses and emerging strategies for risk stratification.},
journal = {Frontiers in immunology},
volume = {17},
number = {},
pages = {1879430},
pmid = {42421939},
issn = {1664-3224},
mesh = {Humans ; *COVID-19/immunology/complications ; *SARS-CoV-2/immunology ; *Hypersensitivity/immunology/epidemiology ; Animals ; Risk Assessment ; },
abstract = {Multinational cohort studies consistently associate SARS-CoV-2 infection with elevated incidence of allergic diseases, with hazard ratios of 2.25 for asthma and 1.23 for allergic rhinitis persisting beyond six months post-infection; whether this excess risk reflects de novo allergic sensitization or preferential unmasking of pre-existing subclinical atopy remains to be established. Yet mechanisms bridging acute viral illness to delayed allergic phenotypes remain incompletely understood. This review synthesizes recent advances across epithelial biology, immunology, and neuroimmune interactions to propose a unified mechanistic framework organized around three interconnected axes. First, epithelial injury during COVID-19 triggers passive IL-33 release while inducing active TSLP and IL-25 production. These alarmins act through mechanistically distinct pathways to converge on type 2 immune priming, which is established and reinforced by epigenetic memory in group 2 innate lymphoid cells and dendritic cells. Second, regulatory T cell depletion and, hypothetically, hematopoietic stem and progenitor cell epigenetic reprogramming driven by acute interleukin-6 elevation may generate immune cell progeny with persistently altered inflammatory responsiveness, while dendritic cells adopt Th2-polarizing phenotypes that lower the threshold for allergic sensitization; the direct contribution of hematopoietic reprogramming to Th2-skewed allergic outcomes remains to be demonstrated. Third, mast cells undergo direct spike protein-mediated activation via angiotensin-converting enzyme 2 receptors, and alarmin-primed mast cells establish bidirectional crosstalk with sensory neurons that amplifies neuroinflammation and links long COVID symptoms to heightened allergic susceptibility. Together, these axes define a post-infectious vulnerability window during which allergen encounters trigger exaggerated type 2 responses. Risk stratification incorporating disease severity, circulating biomarkers including immunoglobulin E and eosinophil counts, and genetic susceptibility variants may identify individuals requiring targeted surveillance, while mechanistically informed interventions such as low-dose interleukin-2, mast cell stabilizers, and alarmin-targeted biologics warrant prospective evaluation in convalescent cohorts.},
}
MeSH Terms:
show MeSH Terms
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Humans
*COVID-19/immunology/complications
*SARS-CoV-2/immunology
*Hypersensitivity/immunology/epidemiology
Animals
Risk Assessment
RevDate: 2026-08-13
CmpDate: 2026-07-09
Cardiovascular sequelae of Long COVID: immune dysregulation inflammation as central drivers.
Frontiers in immunology, 17:1815269.
Long coronavirus disease 2019 (Long COVID-19), also referred to as post-acute sequelae of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, has emerged as a major global health challenge. Common manifestations include fatigue, dyspnea, cognitive dysfunction, and exercise intolerance. Beyond these systemic manifestations, the enduring cardiovascular manifestations are increasingly identified as core characteristics of Long COVID-19 syndromes secondary to SARS-CoV-2 infection, encompassing myocarditis, ischemic and non-ischemic heart disease, arrhythmias, heart failure, and thrombotic events. Accumulating evidence suggests that immune dysregulation and persistent inflammation are central drivers of cardiovascular injury in Long COVID. Persistent activation of innate and adaptive immune pathways fosters endothelial injury, thrombo-inflammation, and adverse myocardial remodeling. In this review, we focus on current clinical and experimental evidence to delineate the immune-mediated mechanisms underlying cardiovascular sequelae in Long COVID and explore potential therapeutic strategies targeting persistent inflammation and immune dysregulation.
Additional Links: PMID-42421948
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Citation:
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@article {pmid42421948,
year = {2026},
author = {Liu, A and Chen, H and Liu, Q and Al-Azab, M and Shaher, F and Li, J and Liu, T and Yang, M},
title = {Cardiovascular sequelae of Long COVID: immune dysregulation inflammation as central drivers.},
journal = {Frontiers in immunology},
volume = {17},
number = {},
pages = {1815269},
pmid = {42421948},
issn = {1664-3224},
mesh = {Humans ; *COVID-19/immunology/complications ; Post-Acute COVID-19 Syndrome ; *Cardiovascular Diseases/immunology/etiology ; *Inflammation/immunology ; Immunity, Innate ; *SARS-CoV-2/immunology ; Animals ; Adaptive Immunity ; },
abstract = {Long coronavirus disease 2019 (Long COVID-19), also referred to as post-acute sequelae of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, has emerged as a major global health challenge. Common manifestations include fatigue, dyspnea, cognitive dysfunction, and exercise intolerance. Beyond these systemic manifestations, the enduring cardiovascular manifestations are increasingly identified as core characteristics of Long COVID-19 syndromes secondary to SARS-CoV-2 infection, encompassing myocarditis, ischemic and non-ischemic heart disease, arrhythmias, heart failure, and thrombotic events. Accumulating evidence suggests that immune dysregulation and persistent inflammation are central drivers of cardiovascular injury in Long COVID. Persistent activation of innate and adaptive immune pathways fosters endothelial injury, thrombo-inflammation, and adverse myocardial remodeling. In this review, we focus on current clinical and experimental evidence to delineate the immune-mediated mechanisms underlying cardiovascular sequelae in Long COVID and explore potential therapeutic strategies targeting persistent inflammation and immune dysregulation.},
}
MeSH Terms:
show MeSH Terms
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Humans
*COVID-19/immunology/complications
Post-Acute COVID-19 Syndrome
*Cardiovascular Diseases/immunology/etiology
*Inflammation/immunology
Immunity, Innate
*SARS-CoV-2/immunology
Animals
Adaptive Immunity
RevDate: 2026-08-13
CmpDate: 2026-07-09
Proteomic landscapes of post-COVID condition: biomarkers and translational pathways.
Frontiers in immunology, 17:1783192.
Post-COVID condition is a heterogeneous, multi-system sequela of SARS-CoV-2 infection that imposes substantial socioeconomic burden and currently needs validated diagnostic biomarkers or established therapeutic pathways. This brief communication synthesises blood-based proteomic and targeted biomarker evidence and organises it into three overlapping pathophysiological domains: persistent immune dysregulation (IL-6, IL-20, MCP-1 and TNF- α), endothelial dysfunction and disordered haemostasis (VEGF-A, P-selectin, vWF, ICAM-1 and D-dimer); and neurological injury (NFL, GFAP, NAAA, LXN, NBL1, HAGH). Across studies, no single protein provides adequate diagnostic performance; phenotype-linked multi-analyte panels show the greatest promise. Researching post-COVID conditions requires harmonised case definitions, cross-platform validation, and the integration of coagulation assays and extracellular vesicle profiling to improve tissue signal detection.
Additional Links: PMID-42421959
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@article {pmid42421959,
year = {2026},
author = {Bansal, A},
title = {Proteomic landscapes of post-COVID condition: biomarkers and translational pathways.},
journal = {Frontiers in immunology},
volume = {17},
number = {},
pages = {1783192},
pmid = {42421959},
issn = {1664-3224},
mesh = {Humans ; *Biomarkers/blood/metabolism ; *Proteomics/methods ; *COVID-19/complications/immunology/metabolism ; Post-Acute COVID-19 Syndrome ; *SARS-CoV-2 ; },
abstract = {Post-COVID condition is a heterogeneous, multi-system sequela of SARS-CoV-2 infection that imposes substantial socioeconomic burden and currently needs validated diagnostic biomarkers or established therapeutic pathways. This brief communication synthesises blood-based proteomic and targeted biomarker evidence and organises it into three overlapping pathophysiological domains: persistent immune dysregulation (IL-6, IL-20, MCP-1 and TNF- α), endothelial dysfunction and disordered haemostasis (VEGF-A, P-selectin, vWF, ICAM-1 and D-dimer); and neurological injury (NFL, GFAP, NAAA, LXN, NBL1, HAGH). Across studies, no single protein provides adequate diagnostic performance; phenotype-linked multi-analyte panels show the greatest promise. Researching post-COVID conditions requires harmonised case definitions, cross-platform validation, and the integration of coagulation assays and extracellular vesicle profiling to improve tissue signal detection.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Biomarkers/blood/metabolism
*Proteomics/methods
*COVID-19/complications/immunology/metabolism
Post-Acute COVID-19 Syndrome
*SARS-CoV-2
RevDate: 2026-08-13
CmpDate: 2026-07-09
Delving into the innate and adaptive immunity of camelids: a paradigm of interspecies adaptation and evolutionary innovation.
Frontiers in immunology, 17:1833289.
Camelids have evolved to survive some of the most challenging climatic conditions on our planet and are resilient to physiological stress such as temperature extremes, drought, storms, intense ultraviolet radiation, dehydration, and starvation. They exhibit remarkable resistance to several diseases that severely affect other livestock including tetanus, foot-and-mouth disease, and bovine spongiform encephalopathy. The robust nature of the camelid immune system, which maintains functionality under extreme conditions, is remarkable. The special features of the camelid immune system include differences (when compared to ruminants) in the distribution and anatomy of their lymphoid organs. The innate immune system merits further investigation, though potent antimicrobial peptides have been identified in camelid milk. It is in the adaptive immune response that the most distinctive aspects of the camelid immune system are seen, especially, the presence of heavy chain-only antibodies, somatic hypermutation of T cell receptors; in the dromedary, a significant number of γδ T cells. In this review, the interplay between innate and adaptive immunity in camelids is examined, highlighting their functions in systemic and mucosal immune defense. An understanding of these adaptations is important for the development of innovative biomedical applications, such as nanobody-based diagnostics and therapeutics. In addition, dromedary camels are the main likely animal reservoir for the Middle East Respiratory Syndrome Coronavirus (MERS-CoV), an emerging zoonotic pathogen with potential for large-scale human spillover. Finally, as climate change is likely to result in increased environmental stress worldwide, a comparison of how the immune system in different species has adapted to their environment will be important.
Additional Links: PMID-42421968
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Citation:
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@article {pmid42421968,
year = {2026},
author = {Ramesh, RP and Premraj, A and Yasmin, H and Alkaabi, H and Dodan, S and Almahri, M and Alameri, N and Alyaarbi, YY and Mohteshamuddin, K and Al Aiyan, A and George, AJT and Conca, W and Kishore, U},
title = {Delving into the innate and adaptive immunity of camelids: a paradigm of interspecies adaptation and evolutionary innovation.},
journal = {Frontiers in immunology},
volume = {17},
number = {},
pages = {1833289},
pmid = {42421968},
issn = {1664-3224},
mesh = {Animals ; *Immunity, Innate ; *Adaptive Immunity ; *Camelidae/immunology/genetics ; *Biological Evolution ; Humans ; *Adaptation, Physiological/immunology ; Camelus/immunology ; },
abstract = {Camelids have evolved to survive some of the most challenging climatic conditions on our planet and are resilient to physiological stress such as temperature extremes, drought, storms, intense ultraviolet radiation, dehydration, and starvation. They exhibit remarkable resistance to several diseases that severely affect other livestock including tetanus, foot-and-mouth disease, and bovine spongiform encephalopathy. The robust nature of the camelid immune system, which maintains functionality under extreme conditions, is remarkable. The special features of the camelid immune system include differences (when compared to ruminants) in the distribution and anatomy of their lymphoid organs. The innate immune system merits further investigation, though potent antimicrobial peptides have been identified in camelid milk. It is in the adaptive immune response that the most distinctive aspects of the camelid immune system are seen, especially, the presence of heavy chain-only antibodies, somatic hypermutation of T cell receptors; in the dromedary, a significant number of γδ T cells. In this review, the interplay between innate and adaptive immunity in camelids is examined, highlighting their functions in systemic and mucosal immune defense. An understanding of these adaptations is important for the development of innovative biomedical applications, such as nanobody-based diagnostics and therapeutics. In addition, dromedary camels are the main likely animal reservoir for the Middle East Respiratory Syndrome Coronavirus (MERS-CoV), an emerging zoonotic pathogen with potential for large-scale human spillover. Finally, as climate change is likely to result in increased environmental stress worldwide, a comparison of how the immune system in different species has adapted to their environment will be important.},
}
MeSH Terms:
show MeSH Terms
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Animals
*Immunity, Innate
*Adaptive Immunity
*Camelidae/immunology/genetics
*Biological Evolution
Humans
*Adaptation, Physiological/immunology
Camelus/immunology
RevDate: 2026-08-13
CmpDate: 2026-07-09
A post-PHEIC review of cultural awareness in the COVID-19 response.
Public health reviews, 47:1608243.
OBJECTIVES: The PHEIC status of COVID-19 was officially lifted by the WHO on May 5, 2023. However, many nations continue to grapple with its impacts, particularly those that have not fully embraced the emergency culture. This study aims to explore ways to enhance emergency culture that rose during the COVID-19 response, ultimately contributing to effective pandemic management.
METHODS: A systematic literature review, including the PRISMA 2020 flow diagram and checklist, was used to compare cultural unawareness with cultural awareness across six nations: Japan, Sweden, South Africa, the United States, Brazil, and Australia.
RESULTS: To varying degrees, all six nations exhibited cultural unawareness during their COVID-19 responses, which manifested in issues such as personal responsibilities, herd immunity, inequalities, individualism, economic priorities, language barriers, and other factors.
CONCLUSION: These six nations must adaptively transform their cultural unawareness into cultural awareness while enhancing leadership, communication, cultural competence, emergency preparedness, and international cooperation. This study offers a comprehensive perspective on the emergency culture surrounding the coronavirus pandemic, emphasizing the critical importance of cultural awareness.
Additional Links: PMID-42422050
PubMed:
Citation:
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@article {pmid42422050,
year = {2026},
author = {Ha, KM},
title = {A post-PHEIC review of cultural awareness in the COVID-19 response.},
journal = {Public health reviews},
volume = {47},
number = {},
pages = {1608243},
pmid = {42422050},
issn = {0301-0422},
abstract = {OBJECTIVES: The PHEIC status of COVID-19 was officially lifted by the WHO on May 5, 2023. However, many nations continue to grapple with its impacts, particularly those that have not fully embraced the emergency culture. This study aims to explore ways to enhance emergency culture that rose during the COVID-19 response, ultimately contributing to effective pandemic management.
METHODS: A systematic literature review, including the PRISMA 2020 flow diagram and checklist, was used to compare cultural unawareness with cultural awareness across six nations: Japan, Sweden, South Africa, the United States, Brazil, and Australia.
RESULTS: To varying degrees, all six nations exhibited cultural unawareness during their COVID-19 responses, which manifested in issues such as personal responsibilities, herd immunity, inequalities, individualism, economic priorities, language barriers, and other factors.
CONCLUSION: These six nations must adaptively transform their cultural unawareness into cultural awareness while enhancing leadership, communication, cultural competence, emergency preparedness, and international cooperation. This study offers a comprehensive perspective on the emergency culture surrounding the coronavirus pandemic, emphasizing the critical importance of cultural awareness.},
}
RevDate: 2026-08-13
CmpDate: 2026-07-09
Impact of COVID-19 on Subsequent Lung Function in Childhood: A Systematized Review.
Health science reports, 9(7):e72793.
BACKGROUND AND AIMS: The SARS-CoV-2 infection can lead to transiently altered lung function in adults, but data is less clear in children. We aimed to summarize the available evidence about respiratory outcomes after COVID-19 in childhood.
METHODS: We conducted a literature search on post-COVID-19 lung function tests (LFT) on the Medline and Cochrane databases, including studies published between 2019 and 2025.
RESULTS: Three hundred forty-seven publications were identified, and 20 were selected. Results are presented in two sections, based on the duration of follow-up. Most studies included spirometry, whereas many of them presented data from diffusing lung capacity for carbon monoxide, multiple breath nitrogen washout, fractional exhaled nitric oxide, impulse oscillometry, 6-minute walking test, and interrupter resistance. Five papers described no association between COVID-19 and respiratory outcomes, nor a link between the persistence of symptoms and the outcomes. Other authors reported a mild obstructive pattern which showed reversibility post bronchodilators, or a restrictive pattern, particularly when long-COVID was evident. Some papers showed that pulmonary function may be influenced by the initial severity of the SARS-CoV-2 infection.
CONCLUSION: Some studies reported no clear association between lung function impairment and previous history of COVID-19. Other authors reported mild, transient consequences. A small number of papers concluded that severe infection, which is relatively rare in children, might affect pulmonary function. The main limitation of this review was the high heterogeneity of the included studies, especially regarding the COVID-19 severity, the age groups, the LFT details, and the duration of follow-up.
Additional Links: PMID-42422161
PubMed:
Citation:
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@article {pmid42422161,
year = {2026},
author = {Santis, B and Baldo, F and Vento, G and Nobile, S},
title = {Impact of COVID-19 on Subsequent Lung Function in Childhood: A Systematized Review.},
journal = {Health science reports},
volume = {9},
number = {7},
pages = {e72793},
pmid = {42422161},
issn = {2398-8835},
abstract = {BACKGROUND AND AIMS: The SARS-CoV-2 infection can lead to transiently altered lung function in adults, but data is less clear in children. We aimed to summarize the available evidence about respiratory outcomes after COVID-19 in childhood.
METHODS: We conducted a literature search on post-COVID-19 lung function tests (LFT) on the Medline and Cochrane databases, including studies published between 2019 and 2025.
RESULTS: Three hundred forty-seven publications were identified, and 20 were selected. Results are presented in two sections, based on the duration of follow-up. Most studies included spirometry, whereas many of them presented data from diffusing lung capacity for carbon monoxide, multiple breath nitrogen washout, fractional exhaled nitric oxide, impulse oscillometry, 6-minute walking test, and interrupter resistance. Five papers described no association between COVID-19 and respiratory outcomes, nor a link between the persistence of symptoms and the outcomes. Other authors reported a mild obstructive pattern which showed reversibility post bronchodilators, or a restrictive pattern, particularly when long-COVID was evident. Some papers showed that pulmonary function may be influenced by the initial severity of the SARS-CoV-2 infection.
CONCLUSION: Some studies reported no clear association between lung function impairment and previous history of COVID-19. Other authors reported mild, transient consequences. A small number of papers concluded that severe infection, which is relatively rare in children, might affect pulmonary function. The main limitation of this review was the high heterogeneity of the included studies, especially regarding the COVID-19 severity, the age groups, the LFT details, and the duration of follow-up.},
}
RevDate: 2026-08-13
CmpDate: 2026-07-09
Food insecurity, habits, and working conditions in subsistence workers during COVID-19 isolation, Medellin, Colombia, 2021.
Revista brasileira de medicina do trabalho : publicacao oficial da Associacao Nacional de Medicina do Trabalho-ANAMT, 24:e20261279.
INTRODUCTION: Mandatory isolation and quarantine measures implemented between 2020 and 2021 had important repercussions on labor dynamics.
OBJECTIVES: To identify the characteristics of COVID-19 isolation, as well as the habits and working conditions that characterize food insecurity in subsistence workers in Medellin, Colombia, in 2021.
METHODS: Cross-sectional study using primary data sources. An interviewer-administered survey was conducted among 656 workers selected through snowball sampling.
RESULTS: Overall, 56.4% were men and 74.7% were aged ≥45 years. Furthermore, 89.9% of women were the primary household income provider, and 74.8% did not have a partner. Alcohol and tobacco use were more frequent among men, and 43.0% of women consumed two meals a day. Furthermore, 95.6% of participants underwent mandatory quarantine; 73.2% remained isolated > 12 weeks; and 77.0% received support during isolation. The prevalence of moderate/severe food insecurity was 44.1%, increasing to 51.4% among women. Conditions characterizing food insecurity included being female, consuming one meal a day, not having a partner, being the primary household income provider, lacking work permit, not receiving government food assistance, making payment arrangements with landlords, and receiving food assistance from a university.
CONCLUSIONS: Although food insecurity decreased by 10 percentage points, the conditions characterizing it reveal the subsistence circumstances experienced by workers, particularly women, whose social and occupational disadvantage deepened.
Additional Links: PMID-42422237
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Citation:
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@article {pmid42422237,
year = {2026},
author = {Garzón-Duque, MO and Rodriguez-Ospina, FL and Tobón, ST and Vasquez-Trespalacios, EM and Naranjo, VM},
title = {Food insecurity, habits, and working conditions in subsistence workers during COVID-19 isolation, Medellin, Colombia, 2021.},
journal = {Revista brasileira de medicina do trabalho : publicacao oficial da Associacao Nacional de Medicina do Trabalho-ANAMT},
volume = {24},
number = {},
pages = {e20261279},
pmid = {42422237},
issn = {1679-4435},
abstract = {INTRODUCTION: Mandatory isolation and quarantine measures implemented between 2020 and 2021 had important repercussions on labor dynamics.
OBJECTIVES: To identify the characteristics of COVID-19 isolation, as well as the habits and working conditions that characterize food insecurity in subsistence workers in Medellin, Colombia, in 2021.
METHODS: Cross-sectional study using primary data sources. An interviewer-administered survey was conducted among 656 workers selected through snowball sampling.
RESULTS: Overall, 56.4% were men and 74.7% were aged ≥45 years. Furthermore, 89.9% of women were the primary household income provider, and 74.8% did not have a partner. Alcohol and tobacco use were more frequent among men, and 43.0% of women consumed two meals a day. Furthermore, 95.6% of participants underwent mandatory quarantine; 73.2% remained isolated > 12 weeks; and 77.0% received support during isolation. The prevalence of moderate/severe food insecurity was 44.1%, increasing to 51.4% among women. Conditions characterizing food insecurity included being female, consuming one meal a day, not having a partner, being the primary household income provider, lacking work permit, not receiving government food assistance, making payment arrangements with landlords, and receiving food assistance from a university.
CONCLUSIONS: Although food insecurity decreased by 10 percentage points, the conditions characterizing it reveal the subsistence circumstances experienced by workers, particularly women, whose social and occupational disadvantage deepened.},
}
RevDate: 2026-10-08
CmpDate: 2026-08-28
Vitamins impacting mental/physical well-being during viral pandemics: a mechanistic review based on COVID-19: a comprehensive review.
Inflammopharmacology, 34(8):4969-5012.
The emergence of novel strains of SARS-CoV-2 highlights the pressing need to investigate various strategies for enhancing pandemic resilience. Even though tried-and-true methods like social separation, masks, and vaccinations have proven effective, issues with immunizations make finding a global answer more complex. This paper underscores the pivotal connection between immunological resilience and vitamins, shedding light on the compromised immune response resulting from undernourishment. Vitamins become essential for protecting the body from viral invasion, particularly from SARS-CoV-2. Crucial roles in cellular activities are played by vitamin A, which is necessary for vision, and the B-vitamin complex, which supports energy synthesis and nerve function. In the context of viral infections, the significance of vitamin D, crucial for both immune system function and bone health, along with vitamin C and its ability to combat free radicals, becomes paramount.This research aims to to elucidate the specific effects and mechanisms by which essential vitamins (A, B, C, D, and E) contribute to the mitigation of COVID-19. By investigating the distinct roles of vitamins within the framework of the pandemic, this research seeks to clarify the potential benefits that these micronutrients may offer in mitigating the severity of COVID-19 and bolstering immune responses to combat viral infectons.
Additional Links: PMID-42424026
PubMed:
Citation:
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@article {pmid42424026,
year = {2026},
author = {Kianfar, E},
title = {Vitamins impacting mental/physical well-being during viral pandemics: a mechanistic review based on COVID-19: a comprehensive review.},
journal = {Inflammopharmacology},
volume = {34},
number = {8},
pages = {4969-5012},
pmid = {42424026},
issn = {1568-5608},
mesh = {Humans ; *COVID-19 ; *Vitamins/therapeutic use/pharmacology/administration & dosage ; Pandemics ; SARS-CoV-2 ; },
abstract = {The emergence of novel strains of SARS-CoV-2 highlights the pressing need to investigate various strategies for enhancing pandemic resilience. Even though tried-and-true methods like social separation, masks, and vaccinations have proven effective, issues with immunizations make finding a global answer more complex. This paper underscores the pivotal connection between immunological resilience and vitamins, shedding light on the compromised immune response resulting from undernourishment. Vitamins become essential for protecting the body from viral invasion, particularly from SARS-CoV-2. Crucial roles in cellular activities are played by vitamin A, which is necessary for vision, and the B-vitamin complex, which supports energy synthesis and nerve function. In the context of viral infections, the significance of vitamin D, crucial for both immune system function and bone health, along with vitamin C and its ability to combat free radicals, becomes paramount.This research aims to to elucidate the specific effects and mechanisms by which essential vitamins (A, B, C, D, and E) contribute to the mitigation of COVID-19. By investigating the distinct roles of vitamins within the framework of the pandemic, this research seeks to clarify the potential benefits that these micronutrients may offer in mitigating the severity of COVID-19 and bolstering immune responses to combat viral infectons.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*COVID-19
*Vitamins/therapeutic use/pharmacology/administration & dosage
Pandemics
SARS-CoV-2
RevDate: 2026-08-13
CmpDate: 2026-07-09
The Association Between eHealth Literacy and Health Behaviors During and Since the COVID-19 Pandemic: Systematic Review and Meta-Analysis.
Journal of medical Internet research, 28:e94233.
BACKGROUND: Since COVID-19, health information seeking, service navigation, and routine care have become increasingly digitally mediated. It remains unclear whether the association between eHealth literacy and health behaviors is consistent across behavioral domains, populations, and analytic frameworks.
OBJECTIVE: This systematic review and meta-analysis synthesized COVID-19 and post-COVID-19 evidence on the association between eHealth literacy and health behaviors and examined variation across study contexts.
METHODS: We conducted a PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020-compliant, PROSPERO-registered review (CRD420251009048). PubMed, Embase, Web of Science Core Collection, CINAHL Ultimate, and Scopus were searched from January 1, 2020, through March 27, 2026. Eligible observational studies assessed eHealth literacy and reported analyzable associations with health behavior outcomes collected in 2020 or later. Health behaviors were classified as health decision-making, health-promoting, or health management behaviors. Correlation coefficients, grouped odds ratios (ORs), and continuous ORs were synthesized separately using random-effects models with Knapp-Hartung adjustment. Certainty was assessed using the Grading of Recommendations Assessment, Development, and Evaluation framework.
RESULTS: In total, 19 studies were included: 10 contributed correlation coefficients, 6 grouped ORs, and 3 continuous ORs. In the correlation-based synthesis, higher eHealth literacy was associated with more favorable health behaviors (pooled r=0.43, 95% CI 0.36-0.51; 95% prediction interval 0.22-0.61), with substantial heterogeneity (I2=80.50%). In the grouped OR synthesis, higher eHealth literacy was also associated with more favorable health behaviors (pooled OR 2.12, 95% CI 1.47-3.05; 95% prediction interval 1.11-4.06), with moderate heterogeneity (I2=46.33%). In the continuous OR synthesis, all 3 studies showed positive associations, but the pooled effect was not statistically significant (pooled OR 1.07, 95% CI 0.89-1.30; 95% prediction interval 0.84-1.37), with very high heterogeneity (I2=97.98%). Subgroup analyses showed a significant difference only by geriatric status in the grouped OR synthesis. Certainty was low for the grouped OR synthesis and very low for the other 2 syntheses.
CONCLUSIONS: Higher eHealth literacy was generally associated with more favorable health behaviors in the correlation-based and grouped OR syntheses, whereas evidence from the continuous OR synthesis was inconclusive. Given the predominantly cross-sectional evidence base, heterogeneity, risk-of-bias concerns, and low to very low certainty, the association should be interpreted as contextual and associative rather than causal or uniform. This review is innovative in synthesizing COVID-19 and post-COVID-19 evidence, applying a functional classification of health behaviors, and analyzing distinct effect measures separately. Unlike previous reviews that summarized the association more broadly, it avoids a single mixed pooled effect and provides a cautious, context-specific interpretation. In practice, interventions should pair eHealth literacy improvement with trustworthy digital services, clinician support, and behavior-specific conditions that help translate digital information into sustained health-related action.
Additional Links: PMID-42424341
PubMed:
Citation:
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@article {pmid42424341,
year = {2026},
author = {Ruan, B and Tian, J and Wang, X and Su, D},
title = {The Association Between eHealth Literacy and Health Behaviors During and Since the COVID-19 Pandemic: Systematic Review and Meta-Analysis.},
journal = {Journal of medical Internet research},
volume = {28},
number = {},
pages = {e94233},
pmid = {42424341},
issn = {1438-8871},
mesh = {Humans ; *COVID-19/epidemiology ; Digital Health ; *Health Behavior ; *Health Literacy ; *Pandemics ; *Telemedicine ; },
abstract = {BACKGROUND: Since COVID-19, health information seeking, service navigation, and routine care have become increasingly digitally mediated. It remains unclear whether the association between eHealth literacy and health behaviors is consistent across behavioral domains, populations, and analytic frameworks.
OBJECTIVE: This systematic review and meta-analysis synthesized COVID-19 and post-COVID-19 evidence on the association between eHealth literacy and health behaviors and examined variation across study contexts.
METHODS: We conducted a PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020-compliant, PROSPERO-registered review (CRD420251009048). PubMed, Embase, Web of Science Core Collection, CINAHL Ultimate, and Scopus were searched from January 1, 2020, through March 27, 2026. Eligible observational studies assessed eHealth literacy and reported analyzable associations with health behavior outcomes collected in 2020 or later. Health behaviors were classified as health decision-making, health-promoting, or health management behaviors. Correlation coefficients, grouped odds ratios (ORs), and continuous ORs were synthesized separately using random-effects models with Knapp-Hartung adjustment. Certainty was assessed using the Grading of Recommendations Assessment, Development, and Evaluation framework.
RESULTS: In total, 19 studies were included: 10 contributed correlation coefficients, 6 grouped ORs, and 3 continuous ORs. In the correlation-based synthesis, higher eHealth literacy was associated with more favorable health behaviors (pooled r=0.43, 95% CI 0.36-0.51; 95% prediction interval 0.22-0.61), with substantial heterogeneity (I2=80.50%). In the grouped OR synthesis, higher eHealth literacy was also associated with more favorable health behaviors (pooled OR 2.12, 95% CI 1.47-3.05; 95% prediction interval 1.11-4.06), with moderate heterogeneity (I2=46.33%). In the continuous OR synthesis, all 3 studies showed positive associations, but the pooled effect was not statistically significant (pooled OR 1.07, 95% CI 0.89-1.30; 95% prediction interval 0.84-1.37), with very high heterogeneity (I2=97.98%). Subgroup analyses showed a significant difference only by geriatric status in the grouped OR synthesis. Certainty was low for the grouped OR synthesis and very low for the other 2 syntheses.
CONCLUSIONS: Higher eHealth literacy was generally associated with more favorable health behaviors in the correlation-based and grouped OR syntheses, whereas evidence from the continuous OR synthesis was inconclusive. Given the predominantly cross-sectional evidence base, heterogeneity, risk-of-bias concerns, and low to very low certainty, the association should be interpreted as contextual and associative rather than causal or uniform. This review is innovative in synthesizing COVID-19 and post-COVID-19 evidence, applying a functional classification of health behaviors, and analyzing distinct effect measures separately. Unlike previous reviews that summarized the association more broadly, it avoids a single mixed pooled effect and provides a cautious, context-specific interpretation. In practice, interventions should pair eHealth literacy improvement with trustworthy digital services, clinician support, and behavior-specific conditions that help translate digital information into sustained health-related action.},
}
MeSH Terms:
show MeSH Terms
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Humans
*COVID-19/epidemiology
Digital Health
*Health Behavior
*Health Literacy
*Pandemics
*Telemedicine
RevDate: 2026-08-08
CmpDate: 2026-08-08
Multiple sclerosis during an emergency or crisis: A narrative review focused on the effect of war and COVID-19 pandemic.
Multiple sclerosis and related disorders, 113:107361.
BACKGROUND: Armed conflict fractures the systems that multiple sclerosis (MS) care depends on, yet MS-specific guidance for war is scarce. The aim of this study is to synthesize evidence on MS care during armed conflict and other crises, and to develop practical, crisis-ready recommendations to maintain treatment continuity, reduce inequities, and guide clinicians and policymakers.
METHODS: We reviewed peer-reviewed literature (2000-2025) on MS during conflicts; when MS-war data were scarce, we utilized transferable evidence from COVID-19 MS studies.
RESULTS AND CONCLUSION: War disrupts disease-modifying therapies (DMT) supply, safety monitoring, rehabilitation, and continuity of care, widening inequities. A key controversy was whether to continue higher-risk DMTs with limited labs/MRI, and which monitoring to prioritize. Our recommendations established a five-action basis: create a single MS crisis hub (information, tele-access, patient passports), safeguard DMTs with lean pharmacovigilance and predefined substitutions, adopt tele-first care with a relapse pathway favoring high-dose oral steroids when appropriate, deliver equity-first outreach via mobile clinics and transport/fee support, and run a minimal data loop (stock, relapses, severe adverse events, hospitalizations, brief fatigue screening) for weekly course correction. Additionally, the basis of recommendations was transformed into a three-stage guideline figure.
Additional Links: PMID-42424858
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@article {pmid42424858,
year = {2026},
author = {Etemadifar, M and Salari, M and Rezaei, K and Hojjatipour, F},
title = {Multiple sclerosis during an emergency or crisis: A narrative review focused on the effect of war and COVID-19 pandemic.},
journal = {Multiple sclerosis and related disorders},
volume = {113},
number = {},
pages = {107361},
doi = {10.1016/j.msard.2026.107361},
pmid = {42424858},
issn = {2211-0356},
mesh = {Humans ; *Multiple Sclerosis/therapy ; *COVID-19 ; *Pandemics ; SARS-CoV-2 ; *Armed Conflicts ; *Warfare ; },
abstract = {BACKGROUND: Armed conflict fractures the systems that multiple sclerosis (MS) care depends on, yet MS-specific guidance for war is scarce. The aim of this study is to synthesize evidence on MS care during armed conflict and other crises, and to develop practical, crisis-ready recommendations to maintain treatment continuity, reduce inequities, and guide clinicians and policymakers.
METHODS: We reviewed peer-reviewed literature (2000-2025) on MS during conflicts; when MS-war data were scarce, we utilized transferable evidence from COVID-19 MS studies.
RESULTS AND CONCLUSION: War disrupts disease-modifying therapies (DMT) supply, safety monitoring, rehabilitation, and continuity of care, widening inequities. A key controversy was whether to continue higher-risk DMTs with limited labs/MRI, and which monitoring to prioritize. Our recommendations established a five-action basis: create a single MS crisis hub (information, tele-access, patient passports), safeguard DMTs with lean pharmacovigilance and predefined substitutions, adopt tele-first care with a relapse pathway favoring high-dose oral steroids when appropriate, deliver equity-first outreach via mobile clinics and transport/fee support, and run a minimal data loop (stock, relapses, severe adverse events, hospitalizations, brief fatigue screening) for weekly course correction. Additionally, the basis of recommendations was transformed into a three-stage guideline figure.},
}
MeSH Terms:
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Humans
*Multiple Sclerosis/therapy
*COVID-19
*Pandemics
SARS-CoV-2
*Armed Conflicts
*Warfare
RevDate: 2026-09-10
CmpDate: 2026-09-09
Olfaction as a diagnostic instrument - a review of current, and future medical applications.
Talanta, 311:130256.
The olfactory sense has evolved to provide environmental and physiological cues through the detection of volatile organic compounds. While historically a clinician's sense of smell was used to assist in diagnosing illness, with some notable exceptions, this has fallen out of favour with the advent of analytical tools. Recently, world events have shown that olfactory methodologies can be highly useful for diagnostic purposes. The emergence of the SARS-CoV-2 virus (causing COVID-19) presented a number of logistical issues with regards to establishing fast and accurate diagnosis-while the idea of detection dogs was proposed at the time, little in the way of routine clinical application was accomplished for this disease. The reasons for this are multifactored, but the use of olfaction as a diagnostic tool can be efficacious, provided appropriate methodological considerations are met. Here, the use of olfaction within a medical diagnostic framework is discussed; with olfactory diagnosis having the potential of very high sensitivity and specificity, but with a low diagnostic cost in terms of expense, time, and patient discomfort. This review will also discuss the ways in which olfactory medical diagnosis can be accomplished using humans, dogs, as well as other animals. Finally, this paper will outline recommendations of how future olfactory diagnostic options can be researched and implemented to ensure best practice.
Additional Links: PMID-42424887
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@article {pmid42424887,
year = {2027},
author = {Hayes, JE and Hayes, SA and Wilkins, D and Lindley, MR and Stuetz, RM},
title = {Olfaction as a diagnostic instrument - a review of current, and future medical applications.},
journal = {Talanta},
volume = {311},
number = {},
pages = {130256},
doi = {10.1016/j.talanta.2026.130256},
pmid = {42424887},
issn = {1873-3573},
mesh = {Animals ; Humans ; *Smell/physiology ; Dogs ; *COVID-19/diagnosis ; SARS-CoV-2 ; Volatile Organic Compounds/analysis ; Pandemics ; Sensitivity and Specificity ; Olfaction Disorders/diagnosis ; },
abstract = {The olfactory sense has evolved to provide environmental and physiological cues through the detection of volatile organic compounds. While historically a clinician's sense of smell was used to assist in diagnosing illness, with some notable exceptions, this has fallen out of favour with the advent of analytical tools. Recently, world events have shown that olfactory methodologies can be highly useful for diagnostic purposes. The emergence of the SARS-CoV-2 virus (causing COVID-19) presented a number of logistical issues with regards to establishing fast and accurate diagnosis-while the idea of detection dogs was proposed at the time, little in the way of routine clinical application was accomplished for this disease. The reasons for this are multifactored, but the use of olfaction as a diagnostic tool can be efficacious, provided appropriate methodological considerations are met. Here, the use of olfaction within a medical diagnostic framework is discussed; with olfactory diagnosis having the potential of very high sensitivity and specificity, but with a low diagnostic cost in terms of expense, time, and patient discomfort. This review will also discuss the ways in which olfactory medical diagnosis can be accomplished using humans, dogs, as well as other animals. Finally, this paper will outline recommendations of how future olfactory diagnostic options can be researched and implemented to ensure best practice.},
}
MeSH Terms:
show MeSH Terms
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Animals
Humans
*Smell/physiology
Dogs
*COVID-19/diagnosis
SARS-CoV-2
Volatile Organic Compounds/analysis
Pandemics
Sensitivity and Specificity
Olfaction Disorders/diagnosis
RevDate: 2026-08-13
CmpDate: 2026-07-10
Low-dose corticosteroids in severe pulmonary infection: a meta-analysis of randomised controlled trials.
BMJ open respiratory research, 13(1):.
PURPOSE: Pulmonary infections are one of the leading causes of intensive care unit (ICU) admission and contribute to high mortality rates. This paper aimed to determine the effect of low-dose corticosteroids on outcomes in patients with severe pulmonary infections, including coronavirus disease of 2019, community-acquired pneumonia (CAP), pneumocystis pneumonia, sepsis, septic shock, and acute respiratory distress syndrome.
METHODS: We systematically reviewed randomised controlled trials (RCTs) comparing low-dose corticosteroids (≤400 mg hydrocortisone-equivalent daily) to placebo or standard care in adults with severe pulmonary infections. The primary outcome was short-term mortality (≤90 days). Secondary outcomes included 28-day mortality, 30-day mortality, number of patients with at least one serious adverse event, length of hospital stay and ICU stay.
RESULTS: We analysed twelve RCTs including 4622 patients and 1203 events. The pooled OR showed a short-term mortality benefit: 0.83 (95% CI 0.70 to 0.98; p=0.029; I²=2.0%; number needed to treat: 37.84; Grading of Recommendations Assessment, Development and Evaluation (GRADE): low certainty). There was a reduction in length of ICU stay in patients with CAP, with a pooled mean difference of -0.78 days (95% CI -1.46 to -0.10, p=0.025). The use of corticosteroids did not significantly affect the length of hospital stay or severe adverse events. A significant difference remained in longer courses of steroids, whereas shorter courses had no significant difference (≤7 days vs >7 days; OR: 0.69; 95% CI 0.53 to 0.89; p=0.039 vs OR: 0.96; 95% CI 0.813 to 1.14; p=0.67; subgroup differences: p=0.03). Subgroup analyses in patients with CAP showed a significant benefit in short-term mortality (OR: 0.72, 95% CI 0.54 to 0.98; p=0.034; number needed to treat: 28.10).
CONCLUSION: We found that low-dose corticosteroids significantly reduce 90-day mortality in severe CAP, although evidence for their benefit in other severe pulmonary infections and at shorter follow-up intervals remains inconclusive.
PROSPERO REGISTRATION NUMBER: CRD42024627881.
Additional Links: PMID-42425738
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Citation:
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@article {pmid42425738,
year = {2026},
author = {Lac, J and Han, S and Ahmad, M and Starey, H and Ganguly, S and Tett, M and Adeyemi, O and Bray, JJH and Ahmad, MT and Providência, R},
title = {Low-dose corticosteroids in severe pulmonary infection: a meta-analysis of randomised controlled trials.},
journal = {BMJ open respiratory research},
volume = {13},
number = {1},
pages = {},
pmid = {42425738},
issn = {2052-4439},
mesh = {Humans ; Randomized Controlled Trials as Topic ; *Adrenal Cortex Hormones/administration & dosage ; Length of Stay/statistics & numerical data ; Community-Acquired Pneumonia/drug therapy/mortality ; Intensive Care Units ; Respiratory Distress Syndrome/drug therapy/mortality ; COVID-19/mortality ; COVID-19 Drug Treatment ; Pneumonia, Pneumocystis/drug therapy/mortality ; Community-Acquired Infections/drug therapy/mortality ; SARS-CoV-2 ; Sepsis/drug therapy/mortality ; },
abstract = {PURPOSE: Pulmonary infections are one of the leading causes of intensive care unit (ICU) admission and contribute to high mortality rates. This paper aimed to determine the effect of low-dose corticosteroids on outcomes in patients with severe pulmonary infections, including coronavirus disease of 2019, community-acquired pneumonia (CAP), pneumocystis pneumonia, sepsis, septic shock, and acute respiratory distress syndrome.
METHODS: We systematically reviewed randomised controlled trials (RCTs) comparing low-dose corticosteroids (≤400 mg hydrocortisone-equivalent daily) to placebo or standard care in adults with severe pulmonary infections. The primary outcome was short-term mortality (≤90 days). Secondary outcomes included 28-day mortality, 30-day mortality, number of patients with at least one serious adverse event, length of hospital stay and ICU stay.
RESULTS: We analysed twelve RCTs including 4622 patients and 1203 events. The pooled OR showed a short-term mortality benefit: 0.83 (95% CI 0.70 to 0.98; p=0.029; I²=2.0%; number needed to treat: 37.84; Grading of Recommendations Assessment, Development and Evaluation (GRADE): low certainty). There was a reduction in length of ICU stay in patients with CAP, with a pooled mean difference of -0.78 days (95% CI -1.46 to -0.10, p=0.025). The use of corticosteroids did not significantly affect the length of hospital stay or severe adverse events. A significant difference remained in longer courses of steroids, whereas shorter courses had no significant difference (≤7 days vs >7 days; OR: 0.69; 95% CI 0.53 to 0.89; p=0.039 vs OR: 0.96; 95% CI 0.813 to 1.14; p=0.67; subgroup differences: p=0.03). Subgroup analyses in patients with CAP showed a significant benefit in short-term mortality (OR: 0.72, 95% CI 0.54 to 0.98; p=0.034; number needed to treat: 28.10).
CONCLUSION: We found that low-dose corticosteroids significantly reduce 90-day mortality in severe CAP, although evidence for their benefit in other severe pulmonary infections and at shorter follow-up intervals remains inconclusive.
PROSPERO REGISTRATION NUMBER: CRD42024627881.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
Randomized Controlled Trials as Topic
*Adrenal Cortex Hormones/administration & dosage
Length of Stay/statistics & numerical data
Community-Acquired Pneumonia/drug therapy/mortality
Intensive Care Units
Respiratory Distress Syndrome/drug therapy/mortality
COVID-19/mortality
COVID-19 Drug Treatment
Pneumonia, Pneumocystis/drug therapy/mortality
Community-Acquired Infections/drug therapy/mortality
SARS-CoV-2
Sepsis/drug therapy/mortality
RevDate: 2026-10-20
CmpDate: 2026-09-15
Consultative General Internal Medicine for Complex Care: The Model, Outcomes, and Lessons Learned.
The Permanente journal, 30(3):153-159.
As the landscape of modern medicine evolves, new health care delivery models are needed to meet the growing complexity of medical care. Primary care clinicians are increasingly managing patients with multiple chronic conditions, a challenge that will intensify as the population ages. Complex medical care involves multiple factors that contribute to difficulties in providing optimal quality of care for patients facing these types of medical problems. To address this need, models of consultative general internal medicine have emerged at various tertiary care institutions across the United States to synthesize prior evaluations, recommend appropriate testing and specialty consultations, and integrate findings into a cohesive care plan for implementation by patients' local care teams. Variability in expertise, patient volume, and structure exists across institutions, but the expansion of multidisciplinary care capabilities during the COVID-19 pandemic has created new opportunities for destination-type practices. This narrative review explores how consultative medicine will be crucial to providing integrative, patient-centric care by enhancing diagnostic accuracy, coordinating multidisciplinary input, and communicating actionable care plans to patients.
Additional Links: PMID-42427146
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@article {pmid42427146,
year = {2026},
author = {Ghosh, AK and Overgaard, JD and Abubeker, I and Rice, EM and Larson, AM and Pagel, EM and Hurt, RT and Gilman, EA},
title = {Consultative General Internal Medicine for Complex Care: The Model, Outcomes, and Lessons Learned.},
journal = {The Permanente journal},
volume = {30},
number = {3},
pages = {153-159},
pmid = {42427146},
issn = {1552-5775},
mesh = {Humans ; *Internal Medicine/organization & administration ; Patient Care Team/organization & administration ; Patient-Centered Care/organization & administration ; Primary Health Care/organization & administration ; *Referral and Consultation/organization & administration ; United States ; },
abstract = {As the landscape of modern medicine evolves, new health care delivery models are needed to meet the growing complexity of medical care. Primary care clinicians are increasingly managing patients with multiple chronic conditions, a challenge that will intensify as the population ages. Complex medical care involves multiple factors that contribute to difficulties in providing optimal quality of care for patients facing these types of medical problems. To address this need, models of consultative general internal medicine have emerged at various tertiary care institutions across the United States to synthesize prior evaluations, recommend appropriate testing and specialty consultations, and integrate findings into a cohesive care plan for implementation by patients' local care teams. Variability in expertise, patient volume, and structure exists across institutions, but the expansion of multidisciplinary care capabilities during the COVID-19 pandemic has created new opportunities for destination-type practices. This narrative review explores how consultative medicine will be crucial to providing integrative, patient-centric care by enhancing diagnostic accuracy, coordinating multidisciplinary input, and communicating actionable care plans to patients.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Internal Medicine/organization & administration
Patient Care Team/organization & administration
Patient-Centered Care/organization & administration
Primary Health Care/organization & administration
*Referral and Consultation/organization & administration
United States
RevDate: 2026-08-13
CmpDate: 2026-07-10
Global prevalence of post-COVID-19 condition (Long COVID): a systematic review and meta-analysis of observational studies.
Frontiers in public health, 14:1839646.
BACKGROUND: Long COVID is an umbrella term for persistent, relapsing, or newly developed health problems after SARS-CoV-2 infection, whereas post-COVID-19 condition (PCC) refers more specifically to the World Health Organization clinical case definition. Reported prevalence varies substantially because of differences in terminology, operational definitions, study populations, follow-up duration, hospitalization status, and symptom ascertainment. This systematic review and meta-analysis synthesized global observational evidence on Long COVID/PCC prevalence and examined major sources of variability.
METHODS: A systematic review and meta-analysis was conducted according to PRISMA 2020 principles. PubMed/MEDLINE, Scopus, Web of Science, and the WHO COVID-19 Global Literature Database were searched for studies published from 1 January 2020 to 23 February 2026. Observational studies were eligible if they included individuals with confirmed or probable SARS-CoV-2 infection, reported Long COVID/PCC or persistent post-COVID symptoms at least 4 weeks after acute infection, and provided numerator and denominator data. Terminology and operational case definitions were extracted separately. Prevalence estimates were pooled using a random-effects model with logit transformation and back-transformation. Heterogeneity was assessed using Cochran's Q, I[2], tau[2], and prediction intervals. Subgroup and sensitivity analyses were performed.
RESULTS: Twenty-two studies contributing 27 prevalence estimates and more than 200,000 participants were included. The primary estimate-level pooled prevalence was 30.8% (95% CI 26.8-35.0). Heterogeneity was extreme: Q = 8031.9, df = 26, p < 0.001; I[2] = 99.7%; tau[2] = 0.252 on the logit scale. The prediction interval was 14.0-54.8%. Pooled prevalence was higher among hospitalized cohorts (37.9%, 95% CI 29.5-47.1) than among non-hospitalized, community-based, or mixed cohorts (26.2%, 95% CI 22.0-30.9). WHO-defined PCC yielded lower prevalence (22.8%, 95% CI 14.3-34.4) than broader symptom-based definitions (39.7%, 95% CI 30.5-49.5). Cohort-level sensitivity analysis yielded a similar prevalence of 31.0% (95% CI 26.8-35.4).
CONCLUSION: Long COVID/PCC represents a substantial post-acute public health burden. However, because heterogeneity was extreme, the pooled prevalence should be interpreted as a descriptive summary of heterogeneous observational evidence rather than as a single precise global rate. Standardized definitions, harmonized surveillance, transparent reporting, rehabilitation pathways, and multidisciplinary care models are needed.
Additional Links: PMID-42428921
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Citation:
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@article {pmid42428921,
year = {2026},
author = {Kassymbek, S and Abduldayeva, A and Safonov, N},
title = {Global prevalence of post-COVID-19 condition (Long COVID): a systematic review and meta-analysis of observational studies.},
journal = {Frontiers in public health},
volume = {14},
number = {},
pages = {1839646},
pmid = {42428921},
issn = {2296-2565},
mesh = {Humans ; *COVID-19/epidemiology/complications ; *Global Health/statistics & numerical data ; Observational Studies as Topic ; *Post-Acute COVID-19 Syndrome/complications/epidemiology ; Prevalence ; SARS-CoV-2 ; },
abstract = {BACKGROUND: Long COVID is an umbrella term for persistent, relapsing, or newly developed health problems after SARS-CoV-2 infection, whereas post-COVID-19 condition (PCC) refers more specifically to the World Health Organization clinical case definition. Reported prevalence varies substantially because of differences in terminology, operational definitions, study populations, follow-up duration, hospitalization status, and symptom ascertainment. This systematic review and meta-analysis synthesized global observational evidence on Long COVID/PCC prevalence and examined major sources of variability.
METHODS: A systematic review and meta-analysis was conducted according to PRISMA 2020 principles. PubMed/MEDLINE, Scopus, Web of Science, and the WHO COVID-19 Global Literature Database were searched for studies published from 1 January 2020 to 23 February 2026. Observational studies were eligible if they included individuals with confirmed or probable SARS-CoV-2 infection, reported Long COVID/PCC or persistent post-COVID symptoms at least 4 weeks after acute infection, and provided numerator and denominator data. Terminology and operational case definitions were extracted separately. Prevalence estimates were pooled using a random-effects model with logit transformation and back-transformation. Heterogeneity was assessed using Cochran's Q, I[2], tau[2], and prediction intervals. Subgroup and sensitivity analyses were performed.
RESULTS: Twenty-two studies contributing 27 prevalence estimates and more than 200,000 participants were included. The primary estimate-level pooled prevalence was 30.8% (95% CI 26.8-35.0). Heterogeneity was extreme: Q = 8031.9, df = 26, p < 0.001; I[2] = 99.7%; tau[2] = 0.252 on the logit scale. The prediction interval was 14.0-54.8%. Pooled prevalence was higher among hospitalized cohorts (37.9%, 95% CI 29.5-47.1) than among non-hospitalized, community-based, or mixed cohorts (26.2%, 95% CI 22.0-30.9). WHO-defined PCC yielded lower prevalence (22.8%, 95% CI 14.3-34.4) than broader symptom-based definitions (39.7%, 95% CI 30.5-49.5). Cohort-level sensitivity analysis yielded a similar prevalence of 31.0% (95% CI 26.8-35.4).
CONCLUSION: Long COVID/PCC represents a substantial post-acute public health burden. However, because heterogeneity was extreme, the pooled prevalence should be interpreted as a descriptive summary of heterogeneous observational evidence rather than as a single precise global rate. Standardized definitions, harmonized surveillance, transparent reporting, rehabilitation pathways, and multidisciplinary care models are needed.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*COVID-19/epidemiology/complications
*Global Health/statistics & numerical data
Observational Studies as Topic
*Post-Acute COVID-19 Syndrome/complications/epidemiology
Prevalence
SARS-CoV-2
RevDate: 2026-09-22
CmpDate: 2026-07-11
Interventions to Enhance COVID-19 Pandemic Health Literacy in Health Professionals: Systematic Review.
JMIR medical education, 12:e70400.
BACKGROUND: The COVID-19 pandemic has placed a significant burden on health professionals (HPs). They face higher infection risks due to the nature of their work environment and patient care responsibilities. Their ability to access and apply reliable COVID-19 information affects their own preventive behavior and that of those around them. In this context, health literacy (HL) has become increasingly important. Despite extensive research, information to foster COVID-19-related HL in HPs remains limited.
OBJECTIVE: This systematic review aimed to identify, appraise, and synthesize intervention studies on the effectiveness of COVID-19-related HL interventions in HPs.
METHODS: Five electronic databases (eg, PubMed (MEDLINE), Embase), six clinical trials registries (eg, ISRCTN registry), one preprint server (MEDRXIV), published conference proceedings, and five gray literature databases (eg, opengrey.eu, ProQuest) were searched in May 2022 and updated in August 2025. Reference lists of included studies were screened manually. Two reviewers independently screened titles, abstracts, and full-texts according to eligibility criteria and extracted data; disagreements were resolved by discussion or consultation with a third reviewer. We included randomized controlled trials (RCTs), nonrandomized studies of interventions, and uncontrolled before-and-after studies evaluating the effectiveness of any COVID-19-related HL intervention. Primary outcomes include COVID-19-related HL, its four facets (access, understand, appraise, and apply COVID-19 information), and indicators (eg, COVID-19-related knowledge), assessed at postintervention and follow-up. When studies were sufficiently similar, random-effects meta-analyses were performed; otherwise, a narrative synthesis was provided. Risk of bias was assessed using validated tools based on study design, and the overall certainty of the evidence was evaluated by the GRADE (Grading of Recommendations, Assessment, Development, and Evaluation) approach.
RESULTS: We included 15 RCTs (2034 participants), 4 nonrandomized studies of interventions (291 participants), 74 uncontrolled before-and-after studies (327,298 participants), 5 ongoing studies, and 1 study with awaiting classification. Interventions targeted a broad range of health occupational groups. Intervention type, delivery mode, methods, settings, and comparator varied widely. No outcome measure explicitly referred to an HL model. Most studies aimed to enhance COVID-19-related knowledge and skills, and had a high risk of bias. COVID-19-related interventions may increase knowledge of vaccines (standardized mean difference 1.00; 95% CI 0.33 to 1.67, I2=24%), and the infection prevention control skills, such as donning and doffing of personal protective equipment (standardized mean difference 1.95; 95% CI 1.82 to 3.09, I2=46%), but the evidence remains very uncertain.
CONCLUSIONS: COVID-19-related HL interventions may promote HP's short-term competencies in infection control. However, the evidence remains uncertain, primarily due to the low quality of studies, characterized by a high risk of bias. Interventions specifically designed to enhance the full COVID-19 HL operationalized by its four facets are lacking. High-quality RCTs with sufficient statistical power, grounded in HL theoretical principles, are needed to achieve precise understanding.
Additional Links: PMID-42430764
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@article {pmid42430764,
year = {2026},
author = {Hasenpusch, C and Kuper, P and Skiba, EM and Sprenger, AA and Matterne, U and Kannengießer, L and Grätsch, EI and Shin, J and Li, M and Apfelbacher, CJ},
title = {Interventions to Enhance COVID-19 Pandemic Health Literacy in Health Professionals: Systematic Review.},
journal = {JMIR medical education},
volume = {12},
number = {},
pages = {e70400},
pmid = {42430764},
issn = {2369-3762},
mesh = {Humans ; *COVID-19/epidemiology/prevention & control ; *Health Literacy/methods ; *Health Personnel/education ; Pandemics ; SARS-CoV-2 ; },
abstract = {BACKGROUND: The COVID-19 pandemic has placed a significant burden on health professionals (HPs). They face higher infection risks due to the nature of their work environment and patient care responsibilities. Their ability to access and apply reliable COVID-19 information affects their own preventive behavior and that of those around them. In this context, health literacy (HL) has become increasingly important. Despite extensive research, information to foster COVID-19-related HL in HPs remains limited.
OBJECTIVE: This systematic review aimed to identify, appraise, and synthesize intervention studies on the effectiveness of COVID-19-related HL interventions in HPs.
METHODS: Five electronic databases (eg, PubMed (MEDLINE), Embase), six clinical trials registries (eg, ISRCTN registry), one preprint server (MEDRXIV), published conference proceedings, and five gray literature databases (eg, opengrey.eu, ProQuest) were searched in May 2022 and updated in August 2025. Reference lists of included studies were screened manually. Two reviewers independently screened titles, abstracts, and full-texts according to eligibility criteria and extracted data; disagreements were resolved by discussion or consultation with a third reviewer. We included randomized controlled trials (RCTs), nonrandomized studies of interventions, and uncontrolled before-and-after studies evaluating the effectiveness of any COVID-19-related HL intervention. Primary outcomes include COVID-19-related HL, its four facets (access, understand, appraise, and apply COVID-19 information), and indicators (eg, COVID-19-related knowledge), assessed at postintervention and follow-up. When studies were sufficiently similar, random-effects meta-analyses were performed; otherwise, a narrative synthesis was provided. Risk of bias was assessed using validated tools based on study design, and the overall certainty of the evidence was evaluated by the GRADE (Grading of Recommendations, Assessment, Development, and Evaluation) approach.
RESULTS: We included 15 RCTs (2034 participants), 4 nonrandomized studies of interventions (291 participants), 74 uncontrolled before-and-after studies (327,298 participants), 5 ongoing studies, and 1 study with awaiting classification. Interventions targeted a broad range of health occupational groups. Intervention type, delivery mode, methods, settings, and comparator varied widely. No outcome measure explicitly referred to an HL model. Most studies aimed to enhance COVID-19-related knowledge and skills, and had a high risk of bias. COVID-19-related interventions may increase knowledge of vaccines (standardized mean difference 1.00; 95% CI 0.33 to 1.67, I2=24%), and the infection prevention control skills, such as donning and doffing of personal protective equipment (standardized mean difference 1.95; 95% CI 1.82 to 3.09, I2=46%), but the evidence remains very uncertain.
CONCLUSIONS: COVID-19-related HL interventions may promote HP's short-term competencies in infection control. However, the evidence remains uncertain, primarily due to the low quality of studies, characterized by a high risk of bias. Interventions specifically designed to enhance the full COVID-19 HL operationalized by its four facets are lacking. High-quality RCTs with sufficient statistical power, grounded in HL theoretical principles, are needed to achieve precise understanding.},
}
MeSH Terms:
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hide MeSH Terms
Humans
*COVID-19/epidemiology/prevention & control
*Health Literacy/methods
*Health Personnel/education
Pandemics
SARS-CoV-2
RevDate: 2026-09-23
CmpDate: 2026-08-11
Characteristics of successful and unsuccessful strategies to increase vaccine intention and improve vaccine uptake for U.S. adult populations in the Affordable Care Act era (2010-2025): a systematic review and meta-regression.
Vaccine, 88:128910.
BACKGROUND: Vaccine-preventable diseases continue to burden U.S. population health. Despite the Affordable Care Act (ACA) eliminating cost-sharing for recommended vaccines in 2010, adult vaccination rates persistently fall below Healthy People 2030 targets, signaling that access alone is insufficient.
OBJECTIVES: To synthesize peer-reviewed literature (2010-2025) on interventions designed to increase vaccine intention or uptake among U.S. adults; characterize strategies, populations, settings, and study quality; and identify predictors of vaccine uptake rate.
METHODS: Following PRISMA 2020 guidelines, a multi-database search was conducted across PubMed, Web of Science, Ovid/MEDLINE, and EBSCOhost, with a final updated search in December 2025. Dual independent reviewers screened studies in two stages. Quality was assessed using the EPHPP tool and certainty evaluated using GRADE. Strategies were categorized per the WHO Behavioral and Social Drivers of Vaccination (BeSD) Model. A meta-regression was conducted on 79 studies, with narrative synthesis across all 92 included studies.
RESULTS: Of 11,219 records, 92 studies were included. Study designs were predominantly RCTs; Influenza and COVID-19 vaccines were most commonly studied. In the meta-regression (adjusted R[2] = 0.229), prioritizing a specific population (b=0.121, p=.027), using service quality improvement strategies (b=0.226, p=.040), and recruiting through community-based partner organizations (b=0.585, p=.005) or healthcare organizations (b=0.230, p=.040) were associated with significantly higher vaccine uptake rates. Onsite vaccination was associated with lower uptake rates (b=-0.185, p=.033), an effect confirmed as specific to the COVID-19 pandemic emergency-response context rather than a generalizable effect of the strategy in sensitivity analysis. Narrative synthesis identified message framing and educational campaigns as the most frequently deployed strategies, with multi-component designs and community partnerships showing the most favorable outcomes.
CONCLUSIONS: Effective adult vaccination strategies were multifactorial. Service quality improvement, priority population focus, and community-based recruitment were the strongest predictors of higher uptake. Findings support the WHO BeSD model's Practical Issues domain: reducing friction outperformed persuasion alone. GRADE certainty remained LOW to MODERATE, emphasizing the need for higher-quality, equity-focused research.
REGISTRATION: This systematic review was registered at Open Science Framework: 10.17605/OSF.IO/SM7YD.
Additional Links: PMID-42430872
PubMed:
Citation:
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@article {pmid42430872,
year = {2026},
author = {Hensley, AA and Jiles, KA and Edwards, S and Clinchard, C and Hosig, K},
title = {Characteristics of successful and unsuccessful strategies to increase vaccine intention and improve vaccine uptake for U.S. adult populations in the Affordable Care Act era (2010-2025): a systematic review and meta-regression.},
journal = {Vaccine},
volume = {88},
number = {},
pages = {128910},
pmid = {42430872},
issn = {1873-2518},
support = {KL2 TR003016/TR/NCATS NIH HHS/United States ; UL1 TR003015/TR/NCATS NIH HHS/United States ; },
mesh = {Humans ; *Patient Protection and Affordable Care Act ; United States ; *Vaccination/psychology/statistics & numerical data ; *Vaccines/administration & dosage ; Adult ; COVID-19/prevention & control ; *Vaccination Coverage ; },
abstract = {BACKGROUND: Vaccine-preventable diseases continue to burden U.S. population health. Despite the Affordable Care Act (ACA) eliminating cost-sharing for recommended vaccines in 2010, adult vaccination rates persistently fall below Healthy People 2030 targets, signaling that access alone is insufficient.
OBJECTIVES: To synthesize peer-reviewed literature (2010-2025) on interventions designed to increase vaccine intention or uptake among U.S. adults; characterize strategies, populations, settings, and study quality; and identify predictors of vaccine uptake rate.
METHODS: Following PRISMA 2020 guidelines, a multi-database search was conducted across PubMed, Web of Science, Ovid/MEDLINE, and EBSCOhost, with a final updated search in December 2025. Dual independent reviewers screened studies in two stages. Quality was assessed using the EPHPP tool and certainty evaluated using GRADE. Strategies were categorized per the WHO Behavioral and Social Drivers of Vaccination (BeSD) Model. A meta-regression was conducted on 79 studies, with narrative synthesis across all 92 included studies.
RESULTS: Of 11,219 records, 92 studies were included. Study designs were predominantly RCTs; Influenza and COVID-19 vaccines were most commonly studied. In the meta-regression (adjusted R[2] = 0.229), prioritizing a specific population (b=0.121, p=.027), using service quality improvement strategies (b=0.226, p=.040), and recruiting through community-based partner organizations (b=0.585, p=.005) or healthcare organizations (b=0.230, p=.040) were associated with significantly higher vaccine uptake rates. Onsite vaccination was associated with lower uptake rates (b=-0.185, p=.033), an effect confirmed as specific to the COVID-19 pandemic emergency-response context rather than a generalizable effect of the strategy in sensitivity analysis. Narrative synthesis identified message framing and educational campaigns as the most frequently deployed strategies, with multi-component designs and community partnerships showing the most favorable outcomes.
CONCLUSIONS: Effective adult vaccination strategies were multifactorial. Service quality improvement, priority population focus, and community-based recruitment were the strongest predictors of higher uptake. Findings support the WHO BeSD model's Practical Issues domain: reducing friction outperformed persuasion alone. GRADE certainty remained LOW to MODERATE, emphasizing the need for higher-quality, equity-focused research.
REGISTRATION: This systematic review was registered at Open Science Framework: 10.17605/OSF.IO/SM7YD.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Patient Protection and Affordable Care Act
United States
*Vaccination/psychology/statistics & numerical data
*Vaccines/administration & dosage
Adult
COVID-19/prevention & control
*Vaccination Coverage
RevDate: 2026-08-13
CmpDate: 2026-07-11
Computational forecasting using Swedish data in the vaccination phase of the COVID-19 pandemic: a systematic literature review deliberating modelling relevance for public health and healthcare.
BMC health services research, 26(1):.
BACKGROUND: The benefits of computational forecasting in the later phase of the COVID-19 pandemic when vaccines and clinical pharmaceutical interventions were available have seldom been assessed. We aimed to evaluate computational forecasting research applied to Swedish populations in the vaccination phase of the pandemic.
METHODS: A systematic search was performed on March 8, 2024 in the electronic databases PubMed, Scopus, Cochrane library, Embase, Love platform and Epistemikos. An updated version of the Risk of bias Opinion Tool (ROBOT) was used to assess the quality of evidence reported in the papers identified in the search. The articles fulfilling the quality criteria were assessed for suitability for meta-analysis. Data were extracted from the selected articles for synthesis of characteristics, and a thematic analysis was used for a qualitative synthesis of the contents.
RESULTS: Of 2034 unique publications identified in the database search, 6 articles satisfied the selection and quality criteria. Variability in the reporting of forecasting performance results was found to make a quantitative meta-analysis of forecast performance infeasible. The data synthesis showed that statistical modeling using Bayesian calibration was the most common methodological approach. No external model validation was reported, but 5/6 articles included internal model corroboration data. The primary theme resulting from the qualitative synthesis of article content was design or refinement of computational models with demonstration of model use in health service practice as a secondary theme. None of the articles referred to health service policymaking as the primary research context.
CONCLUSION: Computational forecasting research using Swedish population data from the vaccination phase of the COVID-19 pandemic was deployed in a model design context. While methodological knowledge was developed, most of the research was not initiated to solve the public health and healthcare problems at hand. Our results indicate that the alignment between computational forecasting research and policymaking needs in the vaccination phase of pandemics can be enhanced.
Additional Links: PMID-42432642
PubMed:
Citation:
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@article {pmid42432642,
year = {2026},
author = {Jöud, AS and Thorén, H and Spreco, A and Lundh, T and Timpka, T and Gerlee, P},
title = {Computational forecasting using Swedish data in the vaccination phase of the COVID-19 pandemic: a systematic literature review deliberating modelling relevance for public health and healthcare.},
journal = {BMC health services research},
volume = {26},
number = {1},
pages = {},
pmid = {42432642},
issn = {1472-6963},
mesh = {Sweden/epidemiology ; Humans ; *COVID-19/prevention & control/epidemiology ; Forecasting/methods ; *Public Health ; *Vaccination ; *COVID-19 Vaccines ; Pandemics ; SARS-CoV-2 ; },
abstract = {BACKGROUND: The benefits of computational forecasting in the later phase of the COVID-19 pandemic when vaccines and clinical pharmaceutical interventions were available have seldom been assessed. We aimed to evaluate computational forecasting research applied to Swedish populations in the vaccination phase of the pandemic.
METHODS: A systematic search was performed on March 8, 2024 in the electronic databases PubMed, Scopus, Cochrane library, Embase, Love platform and Epistemikos. An updated version of the Risk of bias Opinion Tool (ROBOT) was used to assess the quality of evidence reported in the papers identified in the search. The articles fulfilling the quality criteria were assessed for suitability for meta-analysis. Data were extracted from the selected articles for synthesis of characteristics, and a thematic analysis was used for a qualitative synthesis of the contents.
RESULTS: Of 2034 unique publications identified in the database search, 6 articles satisfied the selection and quality criteria. Variability in the reporting of forecasting performance results was found to make a quantitative meta-analysis of forecast performance infeasible. The data synthesis showed that statistical modeling using Bayesian calibration was the most common methodological approach. No external model validation was reported, but 5/6 articles included internal model corroboration data. The primary theme resulting from the qualitative synthesis of article content was design or refinement of computational models with demonstration of model use in health service practice as a secondary theme. None of the articles referred to health service policymaking as the primary research context.
CONCLUSION: Computational forecasting research using Swedish population data from the vaccination phase of the COVID-19 pandemic was deployed in a model design context. While methodological knowledge was developed, most of the research was not initiated to solve the public health and healthcare problems at hand. Our results indicate that the alignment between computational forecasting research and policymaking needs in the vaccination phase of pandemics can be enhanced.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Sweden/epidemiology
Humans
*COVID-19/prevention & control/epidemiology
Forecasting/methods
*Public Health
*Vaccination
*COVID-19 Vaccines
Pandemics
SARS-CoV-2
RevDate: 2026-10-07
CmpDate: 2026-10-04
Digital health literacy among university students: a systematic review of global trends, determinants, measurement, and the literacy-to-intervention gap.
BMC public health, 26(1):.
INTRODUCTION: University students interact with the complexities of public health knowledge in digital environments. Digital health literacy (DHL), in this regard, is crucial as an upstream skill for ensuring safe, inclusive, and knowledgeable health care engagement among university students where mis-information, algorithm amplification, and AI-based content exist.
OBJECTIVE: This systematic review synthesizes global evidence on DHL among university students. It examines measurement approaches, socio-demographic determinants, online health information-seeking behaviours, mental health and well-being correlates, and the gap between literacy assessment and tested university-based interventions.
METHODS: This systematic review followed PRISMA 2020 guidance. Searches were conducted in PubMed, Scopus, and Web of Science for peer-reviewed studies indexed up to March 31, 2024; backward and forward citation tracking was updated to January 2025 to capture directly related empirical papers. Two reviewers independently performed screening, data extraction, and quality appraisal using design-appropriate tools: JBI for analytical cross-sectional studies, CASP for qualitative evidence, and AMSTAR 2-informed criteria for review-derived or pilot evidence. Because of heterogeneity in design, instruments, and outcomes, findings were synthesized narratively and thematically.
RESULTS: Twenty-one studies met the eligibility criteria. Most were cross-sectional studies conducted during or after the COVID-19 pandemic. Five themes were identified: DHL as a competence for appraising online health information; socioeconomic, gender, health-status, and contextual determinants of DHL; associations with mental health, well-being, fear, and sense of coherence; measurement heterogeneity and psychometric maturation; and a persistent literacy-to-intervention gap.
CONCLUSION: DHL is a relevant competency for Health Promoting Universities, but the current evidence base remains dominated by descriptive self-report and cross-sectional designs. Future research should prioritize longitudinal studies, objective task-based competence assessment, and theory-driven intervention trials embedded within campus health systems, library infrastructures, and digital mental health pathways. The future research must focus on conducting longitudinal research, assessing task-based competency objectively, and testing theory-based interventions that operate through campus health systems, library infrastructure, and pathways for digital mental health.
Additional Links: PMID-42432664
PubMed:
Citation:
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@article {pmid42432664,
year = {2026},
author = {Chandak, A and Chandak, P and Patil, A and Varma, R},
title = {Digital health literacy among university students: a systematic review of global trends, determinants, measurement, and the literacy-to-intervention gap.},
journal = {BMC public health},
volume = {26},
number = {1},
pages = {},
pmid = {42432664},
issn = {1471-2458},
mesh = {Humans ; *Health Literacy/trends/statistics & numerical data ; *Students/statistics & numerical data/psychology ; Universities ; Digital Health ; Evidence Gaps ; },
abstract = {INTRODUCTION: University students interact with the complexities of public health knowledge in digital environments. Digital health literacy (DHL), in this regard, is crucial as an upstream skill for ensuring safe, inclusive, and knowledgeable health care engagement among university students where mis-information, algorithm amplification, and AI-based content exist.
OBJECTIVE: This systematic review synthesizes global evidence on DHL among university students. It examines measurement approaches, socio-demographic determinants, online health information-seeking behaviours, mental health and well-being correlates, and the gap between literacy assessment and tested university-based interventions.
METHODS: This systematic review followed PRISMA 2020 guidance. Searches were conducted in PubMed, Scopus, and Web of Science for peer-reviewed studies indexed up to March 31, 2024; backward and forward citation tracking was updated to January 2025 to capture directly related empirical papers. Two reviewers independently performed screening, data extraction, and quality appraisal using design-appropriate tools: JBI for analytical cross-sectional studies, CASP for qualitative evidence, and AMSTAR 2-informed criteria for review-derived or pilot evidence. Because of heterogeneity in design, instruments, and outcomes, findings were synthesized narratively and thematically.
RESULTS: Twenty-one studies met the eligibility criteria. Most were cross-sectional studies conducted during or after the COVID-19 pandemic. Five themes were identified: DHL as a competence for appraising online health information; socioeconomic, gender, health-status, and contextual determinants of DHL; associations with mental health, well-being, fear, and sense of coherence; measurement heterogeneity and psychometric maturation; and a persistent literacy-to-intervention gap.
CONCLUSION: DHL is a relevant competency for Health Promoting Universities, but the current evidence base remains dominated by descriptive self-report and cross-sectional designs. Future research should prioritize longitudinal studies, objective task-based competence assessment, and theory-driven intervention trials embedded within campus health systems, library infrastructures, and digital mental health pathways. The future research must focus on conducting longitudinal research, assessing task-based competency objectively, and testing theory-based interventions that operate through campus health systems, library infrastructure, and pathways for digital mental health.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Health Literacy/trends/statistics & numerical data
*Students/statistics & numerical data/psychology
Universities
Digital Health
Evidence Gaps
RevDate: 2026-10-08
CmpDate: 2026-10-06
Neurological impairment in long COVID: implications for neurodegenerative disease.
Journal of translational medicine, 24(1):.
BACKGROUND: It has been six years since the COVID-19 pandemic and, despite substantial advances in management, the disease sequelae known as long COVID continues to represent a significant medical and societal burden. Long COVID is characterised by persistent neurological and neurocognitive symptoms, including brain fog, memory deficits, attention impairments, and fatigue, lasting for months after acute SARS-CoV-2 infection.
MAIN BODY: In this review, we collated emerging neurological findings related to long COVID, discussing neurodegenerative processes associated with long COVID, potential clinical implications and research limitations. Neurological and neurocognitive manifestations arise through multiple mechanisms, including direct SARS-CoV-2 invasion of the central nervous system and peripheral lymphocyte infiltration. Additionally, neurovascular damage potentially contributes to neurodegeneration through neuronal injury, impaired neurogenesis, microvascular abnormality and sustained neuroinflammation.
CONCLUSION: Understanding the mechanisms underlying neurological and neurocognitive symptoms is essential for developing long-term monitoring strategies and targeted interventions to mitigate neurocognitive decline in individuals with long COVID.
Additional Links: PMID-42432680
PubMed:
Citation:
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@article {pmid42432680,
year = {2026},
author = {Sasso, EM and Eaton-Fitch, N and Thapaliya, K and Marshall-Gradisnik, S},
title = {Neurological impairment in long COVID: implications for neurodegenerative disease.},
journal = {Journal of translational medicine},
volume = {24},
number = {1},
pages = {},
pmid = {42432680},
issn = {1479-5876},
support = {489798//Stafford Fox Medical Research Foundation/ ; 1199502//National Health and Medical Research Council/ ; 47107//Mason Foundation/ ; 49979//McCusker Charitable Foundation/ ; 4676//Ian and Talei Stewart, the Buxton Foundation/ ; 4579//Blake Beckett Trust Foundation/ ; 4570//Alison Hunter Memorial Foundation/ ; 4575//Change for ME Charity/ ; Dr John Hamwood//Dr John Hamwood/ ; 4879//Henty Community/ ; },
mesh = {Humans ; *Nervous System Diseases/physiopathology/virology ; *Neurodegenerative Diseases/physiopathology/virology ; *Post-Acute COVID-19 Syndrome/complications ; },
abstract = {BACKGROUND: It has been six years since the COVID-19 pandemic and, despite substantial advances in management, the disease sequelae known as long COVID continues to represent a significant medical and societal burden. Long COVID is characterised by persistent neurological and neurocognitive symptoms, including brain fog, memory deficits, attention impairments, and fatigue, lasting for months after acute SARS-CoV-2 infection.
MAIN BODY: In this review, we collated emerging neurological findings related to long COVID, discussing neurodegenerative processes associated with long COVID, potential clinical implications and research limitations. Neurological and neurocognitive manifestations arise through multiple mechanisms, including direct SARS-CoV-2 invasion of the central nervous system and peripheral lymphocyte infiltration. Additionally, neurovascular damage potentially contributes to neurodegeneration through neuronal injury, impaired neurogenesis, microvascular abnormality and sustained neuroinflammation.
CONCLUSION: Understanding the mechanisms underlying neurological and neurocognitive symptoms is essential for developing long-term monitoring strategies and targeted interventions to mitigate neurocognitive decline in individuals with long COVID.},
}
MeSH Terms:
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hide MeSH Terms
Humans
*Nervous System Diseases/physiopathology/virology
*Neurodegenerative Diseases/physiopathology/virology
*Post-Acute COVID-19 Syndrome/complications
RevDate: 2026-10-13
CmpDate: 2026-10-08
Incidence, mortality and risk factors of invasive pulmonary aspergillosis in critically ill patients during the COVID-19 era: a global systematic review and meta-analysis.
Annals of clinical microbiology and antimicrobials, 25(1):.
BACKGROUND: Invasive pulmonary aspergillosis (IPA) represents a growing threat to critically ill patients, with mortality rates exceeding 50%. The burden of IPA has been exacerbated during the COVID-19 era due to prolonged ICU stays and widespread use of immunosuppressive therapies. This systematic review and meta-analysis aimed to synthesize global evidence on the incidence, mortality, and risk factors of IPA in ICU patients.
METHODS: Observational studies reporting IPA incidence, mortality, or risk factors in ICU settings from their inception between November 1, 2019 to October 11, 2024 for eligible studies were retrieved from PubMed, Embase, Web of Science, and Cochrane Library. Study quality was assessed using the Newcastle-Ottawa Scale (NOS). Meta-analyses were performed using R software to calculate pooled estimates with 95% confidence intervals (CI). Multiple subgroup analysis was conducted.
RESULTS: Fifty-six studies involving 15,385 ICU patients (2,381 IPA cases) were included. The pooled incidence of IPA was 11.9% (95% CI: 9.7-14.6%). Subgroup analyses revealed higher incidence in mechanically ventilated patients (15.0%, 95% CI: 11.7-19.0%). Factors associated with an increased risk of IPA included male sex (OR = 1.29), smoking history (OR = 1.52), chronic lung diseases (OR = 1.30), chronic kidney disease (OR = 1.70), chronic liver disease (OR = 1.79), heart disease (OR = 1.20), malignant tumor (OR = 1.75), hematological malignancy (OR = 2.65), glucocorticoids use before ICU (OR = 2.13), immunosuppression (OR = 2.26), EORTC host factors (OR = 2.13), vasopressor use (OR = 3.28), mechanical ventilation (OR = 3.69), and renal replacement therapy (OR = 2.31). The overall mortality rate was 59.6% (95% CI: 55.0-64.0%), escalating to 61.9% in mechanically ventilated patients. Mortality-associated factors included age ≥ 65 years (OR = 2.85), ICU-administered glucocorticoids (OR = 1.95) and mechanical ventilation (OR = 1.93).
CONCLUSIONS: During the COVID-19 era, IPA remains a life-threatening complication in critically ill patients, particularly those with COVID-19, and is associated with immunosuppression, organ dysfunction, and invasive therapies. Our findings, predominantly reflecting CAPA epidemiology, generate the hypothesis that early screening in high-risk populations and tailored antifungal strategies warrant prospective evaluation to determine whether they improve outcomes.
TRIAL REGISTRATION: Ethical approval and patient consent were not required for this meta-analysis, as it was based on previously published studies. The protocol for this meta-analysis was registered on PROSPERO: International prospective register of systematic reviews (CRD42025631579).
Additional Links: PMID-42432685
PubMed:
Citation:
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@article {pmid42432685,
year = {2026},
author = {Zhou, Z and Luo, B and Zhang, X and Li, Q and Huang, Y and Yang, Y and Qiu, H and Xue, M and Xie, J},
title = {Incidence, mortality and risk factors of invasive pulmonary aspergillosis in critically ill patients during the COVID-19 era: a global systematic review and meta-analysis.},
journal = {Annals of clinical microbiology and antimicrobials},
volume = {25},
number = {1},
pages = {},
pmid = {42432685},
issn = {1476-0711},
support = {2023ZD0506500//Noncommunicable Chronic Diseases-National Science and Technology Major Project/ ; 2024ZD0522700//Noncommunicable Chronic Diseases-National Science and Technology Major Project/ ; 82272210//National Natural Science Foundation of China/ ; },
mesh = {Humans ; *Invasive Pulmonary Aspergillosis/mortality/epidemiology ; *Critical Illness/mortality ; Risk Factors ; *COVID-19/complications/epidemiology/mortality ; Incidence ; Intensive Care Units ; Respiration, Artificial/adverse effects ; SARS-CoV-2 ; Male ; Female ; },
abstract = {BACKGROUND: Invasive pulmonary aspergillosis (IPA) represents a growing threat to critically ill patients, with mortality rates exceeding 50%. The burden of IPA has been exacerbated during the COVID-19 era due to prolonged ICU stays and widespread use of immunosuppressive therapies. This systematic review and meta-analysis aimed to synthesize global evidence on the incidence, mortality, and risk factors of IPA in ICU patients.
METHODS: Observational studies reporting IPA incidence, mortality, or risk factors in ICU settings from their inception between November 1, 2019 to October 11, 2024 for eligible studies were retrieved from PubMed, Embase, Web of Science, and Cochrane Library. Study quality was assessed using the Newcastle-Ottawa Scale (NOS). Meta-analyses were performed using R software to calculate pooled estimates with 95% confidence intervals (CI). Multiple subgroup analysis was conducted.
RESULTS: Fifty-six studies involving 15,385 ICU patients (2,381 IPA cases) were included. The pooled incidence of IPA was 11.9% (95% CI: 9.7-14.6%). Subgroup analyses revealed higher incidence in mechanically ventilated patients (15.0%, 95% CI: 11.7-19.0%). Factors associated with an increased risk of IPA included male sex (OR = 1.29), smoking history (OR = 1.52), chronic lung diseases (OR = 1.30), chronic kidney disease (OR = 1.70), chronic liver disease (OR = 1.79), heart disease (OR = 1.20), malignant tumor (OR = 1.75), hematological malignancy (OR = 2.65), glucocorticoids use before ICU (OR = 2.13), immunosuppression (OR = 2.26), EORTC host factors (OR = 2.13), vasopressor use (OR = 3.28), mechanical ventilation (OR = 3.69), and renal replacement therapy (OR = 2.31). The overall mortality rate was 59.6% (95% CI: 55.0-64.0%), escalating to 61.9% in mechanically ventilated patients. Mortality-associated factors included age ≥ 65 years (OR = 2.85), ICU-administered glucocorticoids (OR = 1.95) and mechanical ventilation (OR = 1.93).
CONCLUSIONS: During the COVID-19 era, IPA remains a life-threatening complication in critically ill patients, particularly those with COVID-19, and is associated with immunosuppression, organ dysfunction, and invasive therapies. Our findings, predominantly reflecting CAPA epidemiology, generate the hypothesis that early screening in high-risk populations and tailored antifungal strategies warrant prospective evaluation to determine whether they improve outcomes.
TRIAL REGISTRATION: Ethical approval and patient consent were not required for this meta-analysis, as it was based on previously published studies. The protocol for this meta-analysis was registered on PROSPERO: International prospective register of systematic reviews (CRD42025631579).},
}
MeSH Terms:
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hide MeSH Terms
Humans
*Invasive Pulmonary Aspergillosis/mortality/epidemiology
*Critical Illness/mortality
Risk Factors
*COVID-19/complications/epidemiology/mortality
Incidence
Intensive Care Units
Respiration, Artificial/adverse effects
SARS-CoV-2
Male
Female
RevDate: 2026-09-22
CmpDate: 2026-07-11
Trends and disparities in HIV before and after COVID-19 from 1999 to 2023.
Annals of medicine and surgery (2012), 88(7):4306-4313.
Despite advances in human immunodeficiency virus (HIV) treatment, disparities in HIV-related mortality persist across demographic groups in the United States. The COVID-19 pandemic disrupted healthcare systems and may have influenced established mortality trends. This study evaluates HIV-related mortality in the U.S. from 1999 to 2023, with emphasis on changes following the onset of COVID-19. Data were obtained from the CDC WONDER database, identifying HIV-related deaths (ICD-10: B20-B24) among adults aged 25 to 85+. Age-adjusted mortality rates (AAMR) per 100 000 were calculated. Trends were analyzed using Joinpoint regression to estimate annual percent changes (APCs) and average annual percent changes (AAPCs). From 1999 to 2023, there were 271 932 HIV-related deaths in the U.S. The overall AAMR declined by an AAPC of -4.34%, with a slower post-COVID decline of -4.19% (P < 0.05) from 2020 to 2023. Gender-stratified analysis showed greater post-COVID declines in women (APC: - .58%) than in men (APC: -3.90%). Older adults (85+) experienced a post-COVID increase in mortality (APC: +12.37%). Urban centers showed an APC increase (+2.33%), while rural areas continued to decline. Racial disparities narrowed modestly. Black and Hispanic populations saw sharper post-COVID declines (APCs: -6.21% and -6.26%, respectively) compared to White populations (-1.33%). The Southern U.S. remained the highest-burdened region across both timeframes. Observed mortality trends were temporally associated with demographic characteristics and urbanization patterns during the COVID-19 period. While HIV mortality continues to decline, the COVID-19 pandemic has disrupted progress, especially among elderly and urban populations. Persistent disparities demand targeted, equitable public health interventions.
Additional Links: PMID-42433760
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@article {pmid42433760,
year = {2026},
author = {Magsi, IA and Advani, A and Alokozay, E and Qutub, Z and Hamid, M and Kharka, M and Kunwar, R and Ahsan, S and Msheik, A and Waqas, SA and Hassan, A and Waseem, N and Patel, T and Ahmed, R and Hemida, MF},
title = {Trends and disparities in HIV before and after COVID-19 from 1999 to 2023.},
journal = {Annals of medicine and surgery (2012)},
volume = {88},
number = {7},
pages = {4306-4313},
pmid = {42433760},
issn = {2049-0801},
abstract = {Despite advances in human immunodeficiency virus (HIV) treatment, disparities in HIV-related mortality persist across demographic groups in the United States. The COVID-19 pandemic disrupted healthcare systems and may have influenced established mortality trends. This study evaluates HIV-related mortality in the U.S. from 1999 to 2023, with emphasis on changes following the onset of COVID-19. Data were obtained from the CDC WONDER database, identifying HIV-related deaths (ICD-10: B20-B24) among adults aged 25 to 85+. Age-adjusted mortality rates (AAMR) per 100 000 were calculated. Trends were analyzed using Joinpoint regression to estimate annual percent changes (APCs) and average annual percent changes (AAPCs). From 1999 to 2023, there were 271 932 HIV-related deaths in the U.S. The overall AAMR declined by an AAPC of -4.34%, with a slower post-COVID decline of -4.19% (P < 0.05) from 2020 to 2023. Gender-stratified analysis showed greater post-COVID declines in women (APC: - .58%) than in men (APC: -3.90%). Older adults (85+) experienced a post-COVID increase in mortality (APC: +12.37%). Urban centers showed an APC increase (+2.33%), while rural areas continued to decline. Racial disparities narrowed modestly. Black and Hispanic populations saw sharper post-COVID declines (APCs: -6.21% and -6.26%, respectively) compared to White populations (-1.33%). The Southern U.S. remained the highest-burdened region across both timeframes. Observed mortality trends were temporally associated with demographic characteristics and urbanization patterns during the COVID-19 period. While HIV mortality continues to decline, the COVID-19 pandemic has disrupted progress, especially among elderly and urban populations. Persistent disparities demand targeted, equitable public health interventions.},
}
RevDate: 2026-09-22
CmpDate: 2026-07-11
Emerging trends in post-COVID immune dysregulation: a narrative review.
Annals of medicine and surgery (2012), 88(7):4362-4370.
BACKGROUND: Long coronavirus disease (COVID), or post-acute sequelae of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, is a multi-system condition associated with persistent immune dysregulation, autoimmunity, and vascular perturbations. Understanding these immunological mechanisms is essential for guiding clinical management and therapeutic strategies.
METHODS: We conducted a narrative review of peer-reviewed human studies published between January 2020 and August 2025, using PubMed/Medline, Scopus, and Web of Science, supplemented by manual searches. Studies reporting immunological assessments in long COVID patients, recovered individuals, or healthy controls were included. Findings were extracted and synthesized thematically across six domains: humoral and cellular immunity, autoimmune signatures, proteomic/metabolic and vascular dysregulation, viral persistence, complement/coagulation/thromboinflammation, and pediatric long COVID.
RESULTS: Long COVID is characterized by persistent low-grade inflammation, T- and B-cell dysregulation, and prolonged adaptive immune activation. Humoral responses remain elevated, while T-cell exhaustion and loss of coordination between immune compartments are common. Autoimmune phenomena, including latent and polyautoimmunity targeting cytokines, thyroid antigens, and interferons, are frequently observed. Proteomic, metabolic, and vascular perturbations, complement activation, and thromboinflammatory processes contribute to ongoing symptoms. Viral persistence and early immune biomarkers predict long COVID development. These immune alterations correlate with fatigue, cognitive impairment, respiratory dysfunction, and reduced quality of life in both adults and children.
CONCLUSION: SARS-CoV-2 infection leaves a lasting immunological footprint marked by chronic inflammation, adaptive immune dysregulation, autoimmunity, and vascular perturbations. Integrating longitudinal immune assessments, biomarker profiling, and early predictive markers is critical for identifying high-risk individuals and informing interventions to reduce long COVID morbidity.
Additional Links: PMID-42433775
PubMed:
Citation:
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@article {pmid42433775,
year = {2026},
author = {Abera, EG and Himbaro, SA and Megersa, SW and Ashine, AH and Tukeni, KN and Gebremichael, EH},
title = {Emerging trends in post-COVID immune dysregulation: a narrative review.},
journal = {Annals of medicine and surgery (2012)},
volume = {88},
number = {7},
pages = {4362-4370},
pmid = {42433775},
issn = {2049-0801},
abstract = {BACKGROUND: Long coronavirus disease (COVID), or post-acute sequelae of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, is a multi-system condition associated with persistent immune dysregulation, autoimmunity, and vascular perturbations. Understanding these immunological mechanisms is essential for guiding clinical management and therapeutic strategies.
METHODS: We conducted a narrative review of peer-reviewed human studies published between January 2020 and August 2025, using PubMed/Medline, Scopus, and Web of Science, supplemented by manual searches. Studies reporting immunological assessments in long COVID patients, recovered individuals, or healthy controls were included. Findings were extracted and synthesized thematically across six domains: humoral and cellular immunity, autoimmune signatures, proteomic/metabolic and vascular dysregulation, viral persistence, complement/coagulation/thromboinflammation, and pediatric long COVID.
RESULTS: Long COVID is characterized by persistent low-grade inflammation, T- and B-cell dysregulation, and prolonged adaptive immune activation. Humoral responses remain elevated, while T-cell exhaustion and loss of coordination between immune compartments are common. Autoimmune phenomena, including latent and polyautoimmunity targeting cytokines, thyroid antigens, and interferons, are frequently observed. Proteomic, metabolic, and vascular perturbations, complement activation, and thromboinflammatory processes contribute to ongoing symptoms. Viral persistence and early immune biomarkers predict long COVID development. These immune alterations correlate with fatigue, cognitive impairment, respiratory dysfunction, and reduced quality of life in both adults and children.
CONCLUSION: SARS-CoV-2 infection leaves a lasting immunological footprint marked by chronic inflammation, adaptive immune dysregulation, autoimmunity, and vascular perturbations. Integrating longitudinal immune assessments, biomarker profiling, and early predictive markers is critical for identifying high-risk individuals and informing interventions to reduce long COVID morbidity.},
}
RevDate: 2026-08-13
CmpDate: 2026-07-11
Emerging Strategies for Antitumor Immunotherapy and Antiviral Defense Through the cGAS-STING Pathway.
International journal of nanomedicine, 21:593033.
The cyclic GMP-AMP synthase-stimulator of interferon genes (cGAS-STING) pathway is a central regulator of innate immunity and plays a critical role in inducing pro-inflammatory cytokines and type I interferons (IFN-I). This pathway has emerged as a promising target for cancer immunotherapy and antiviral treatments. Despite its promise, the clinical translation of STING agonists is hindered by several challenges, including structural instability, high production costs, and inefficient delivery systems. These barriers underscore the urgent need for further research and innovation to optimize STING-based therapies. This review provides a comprehensive overview of the cGAS-STING pathway, focusing on its activation mechanisms and recent advances aimed at enhancing its therapeutic efficacy. Alternative activators of STING, including metal ions, exogenous DNA, and endogenous DNA, are discussed for their potential to stimulate this pathway. Furthermore, synergistic therapeutic strategies combining cGAS-STING activation with reactive oxygen species (ROS)-based treatments, such as photodynamic therapy, radiotherapy, sonodynamic therapy, and chemodynamic therapy, are highlighted. Finally, recent progress in harnessing STING activation for antiviral defense against emerging pathogens, such as SARS-CoV-2 and influenza viruses, is summarized to provide insights into the future development of cGAS-STING-targeted immunotherapies.
Additional Links: PMID-42434515
PubMed:
Citation:
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@article {pmid42434515,
year = {2026},
author = {Chen, B and Tao, X and Wang, Y},
title = {Emerging Strategies for Antitumor Immunotherapy and Antiviral Defense Through the cGAS-STING Pathway.},
journal = {International journal of nanomedicine},
volume = {21},
number = {},
pages = {593033},
pmid = {42434515},
issn = {1178-2013},
mesh = {Humans ; cGAS-STING Signaling Pathway ; *Immunotherapy/methods ; *Neoplasms/therapy/immunology ; *Membrane Proteins/metabolism ; *Nucleotidyltransferases/metabolism ; Animals ; STING Protein ; Cyclic Guanosine Monophosphate-Adenosine Monophosphate Synthase ; Immunity, Innate ; Antiviral Agents/pharmacology ; Signal Transduction ; Virus Diseases/immunology/therapy ; Host-Directed Therapy ; },
abstract = {The cyclic GMP-AMP synthase-stimulator of interferon genes (cGAS-STING) pathway is a central regulator of innate immunity and plays a critical role in inducing pro-inflammatory cytokines and type I interferons (IFN-I). This pathway has emerged as a promising target for cancer immunotherapy and antiviral treatments. Despite its promise, the clinical translation of STING agonists is hindered by several challenges, including structural instability, high production costs, and inefficient delivery systems. These barriers underscore the urgent need for further research and innovation to optimize STING-based therapies. This review provides a comprehensive overview of the cGAS-STING pathway, focusing on its activation mechanisms and recent advances aimed at enhancing its therapeutic efficacy. Alternative activators of STING, including metal ions, exogenous DNA, and endogenous DNA, are discussed for their potential to stimulate this pathway. Furthermore, synergistic therapeutic strategies combining cGAS-STING activation with reactive oxygen species (ROS)-based treatments, such as photodynamic therapy, radiotherapy, sonodynamic therapy, and chemodynamic therapy, are highlighted. Finally, recent progress in harnessing STING activation for antiviral defense against emerging pathogens, such as SARS-CoV-2 and influenza viruses, is summarized to provide insights into the future development of cGAS-STING-targeted immunotherapies.},
}
MeSH Terms:
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hide MeSH Terms
Humans
cGAS-STING Signaling Pathway
*Immunotherapy/methods
*Neoplasms/therapy/immunology
*Membrane Proteins/metabolism
*Nucleotidyltransferases/metabolism
Animals
STING Protein
Cyclic Guanosine Monophosphate-Adenosine Monophosphate Synthase
Immunity, Innate
Antiviral Agents/pharmacology
Signal Transduction
Virus Diseases/immunology/therapy
Host-Directed Therapy
RevDate: 2026-08-13
CmpDate: 2026-07-11
Point-of-care smell testing for evaluation of olfactory function: a narrative review of clinical utility.
Frontiers in allergy, 7:1882615.
IMPORTANCE: Olfactory dysfunction (OD) is increasingly recognized as a clinically relevant biomarker for a wide range of health conditions, including neurodegenerative diseases, respiratory infections such as COVID-19, psychiatric disorders, and age-related sensory decline. Despite its diagnostic value, olfactory testing remains underutilized in routine clinical care due to challenges related to test accessibility, cultural adaptability, cost and practical implementation.
OBSERVATIONS: This narrative review provides a clinically focused synthesis of olfactory tests suitable for point-of-care (POC), focusing on their diagnostic accuracy, administration methods, user-friendliness, and applicability across diverse clinical populations. Commonly used tests such as the University of Pennsylvania Smell Identification Test (UPSIT®) and Sniffin' Sticks® are discussed alongside emerging rapid screening tools, pediatric assessments, and culturally adapted tests. Attention is given to distinguishing screening tools from comprehensive diagnostic batteries and to the role of point-of-care (POC) testing in primary care, neurology, and otorhinolaryngology settings. Practical considerations including assessment time, workflow feasibility, and clinical decision pathways are also examined. This review emphasizes the translation of available psychophysical tests into a practical POC framework for real-world clinical use.
CONCLUSIONS AND RELEVANCE: Available olfactory tests vary substantially in diagnostic accuracy, feasibility, and clinical applicability, highlighting the importance of selecting tests based on clinical indication and practice setting. Brief POC tests are best positioned as screening tools, while comprehensive batteries remain necessary when diagnostic precision is required. The main contribution of this review is a clinically oriented framework that distinguishes screening from diagnostic testing and aligns test selection with adult and pediatric clinical scenarios, workflow constraints, and referral needs. A tiered clinical approach using rapid screening followed by targeted comprehensive testing may represent the most practical, cost and time effective strategy for integrating olfactory assessment into routine care. Broader implementation of clinically feasible olfactory testing may improve early disease detection, support clinical decision making, and enhance patient care across conditions associated with OD.
Additional Links: PMID-42434765
PubMed:
Citation:
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@article {pmid42434765,
year = {2026},
author = {Joshi, A and Ogbemudia, H and Cruess, C and Livinski, AA and Hall, R and Roback, E and Jain, J and Sharma, A and Smith-Davidson, P and Xu, M and Asher, V and Joseph, PV and Levy, JM},
title = {Point-of-care smell testing for evaluation of olfactory function: a narrative review of clinical utility.},
journal = {Frontiers in allergy},
volume = {7},
number = {},
pages = {1882615},
pmid = {42434765},
issn = {2673-6101},
abstract = {IMPORTANCE: Olfactory dysfunction (OD) is increasingly recognized as a clinically relevant biomarker for a wide range of health conditions, including neurodegenerative diseases, respiratory infections such as COVID-19, psychiatric disorders, and age-related sensory decline. Despite its diagnostic value, olfactory testing remains underutilized in routine clinical care due to challenges related to test accessibility, cultural adaptability, cost and practical implementation.
OBSERVATIONS: This narrative review provides a clinically focused synthesis of olfactory tests suitable for point-of-care (POC), focusing on their diagnostic accuracy, administration methods, user-friendliness, and applicability across diverse clinical populations. Commonly used tests such as the University of Pennsylvania Smell Identification Test (UPSIT®) and Sniffin' Sticks® are discussed alongside emerging rapid screening tools, pediatric assessments, and culturally adapted tests. Attention is given to distinguishing screening tools from comprehensive diagnostic batteries and to the role of point-of-care (POC) testing in primary care, neurology, and otorhinolaryngology settings. Practical considerations including assessment time, workflow feasibility, and clinical decision pathways are also examined. This review emphasizes the translation of available psychophysical tests into a practical POC framework for real-world clinical use.
CONCLUSIONS AND RELEVANCE: Available olfactory tests vary substantially in diagnostic accuracy, feasibility, and clinical applicability, highlighting the importance of selecting tests based on clinical indication and practice setting. Brief POC tests are best positioned as screening tools, while comprehensive batteries remain necessary when diagnostic precision is required. The main contribution of this review is a clinically oriented framework that distinguishes screening from diagnostic testing and aligns test selection with adult and pediatric clinical scenarios, workflow constraints, and referral needs. A tiered clinical approach using rapid screening followed by targeted comprehensive testing may represent the most practical, cost and time effective strategy for integrating olfactory assessment into routine care. Broader implementation of clinically feasible olfactory testing may improve early disease detection, support clinical decision making, and enhance patient care across conditions associated with OD.},
}
RevDate: 2026-08-15
Epidemiology of Alcohol-Associated Hepatitis: A Systematic Review of Population-Based Studies.
Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association pii:S1542-3565(26)00515-X [Epub ahead of print].
BACKGROUND & AIMS: Alcohol-associated hepatitis is an acute and severe manifestation of alcohol-related liver injury that can occur at any stage of fibrosis. Despite its high mortality, reliable epidemiologic data on alcohol-associated hepatitis remain limited. We conducted a systematic review to synthesize available population-based estimates of alcohol-associated hepatitis annual incidence and point prevalence from 2000 to 2025.
METHODS: A comprehensive literature search of MEDLINE (PubMed), Scopus, and the Cochrane Library was performed. Eligible studies reporting population-based rates of alcohol-associated hepatitis were included. Risk of bias was assessed using the Joanna Briggs Institute Critical Appraisal Checklist for Studies Reporting Prevalence Data.
RESULTS: Eleven population-based studies from 7 countries were included. Reported annual incidence rates of alcohol-associated hepatitis ranged from 1.02 per 100,000 inhabitants in Iceland to 98.5 per 100,000 inhabitants in the United States, with a median incidence rate of 6.8 cases per 100,000 inhabitants (interquartile range, 4.2-19). Among the 9 studies reporting at least 2 estimates over time, 7 demonstrated an increasing incidence rate, whereas 2 reported a decrease. A prepandemic sensitivity analysis excluding studies affected by the COVID-19 pandemic showed a similar pattern, with incidence rates increasing in 5 of the 7 studies. Two studies reported a surge in incidence during the COVID-19 pandemic, whereas 1 of them extended follow-up beyond the pandemic period and observed a gradual return toward prepandemic levels. No studies reported prevalence data.
CONCLUSIONS: The global burden of alcohol-associated hepatitis remains poorly characterized. Existing population-based estimates are highly heterogeneous, reflecting differences in case definitions as well as probable true epidemiologic variation across countries, and collectively suggest an increasing trend over the past 25 years. These findings underscore the urgent need for prospective studies employing standardized and harmonized methodologies to more accurately define the burden of this condition.
Additional Links: PMID-42435889
Publisher:
PubMed:
Citation:
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@article {pmid42435889,
year = {2026},
author = {Gazda, J and Koky, T and Robinska, A and Bo, N and Bjornsson, ES and Drazilova, S and Janicko, M and Díaz, LA and Rhoads, F and Jarcuska, P and Arab, JP},
title = {Epidemiology of Alcohol-Associated Hepatitis: A Systematic Review of Population-Based Studies.},
journal = {Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association},
volume = {},
number = {},
pages = {},
doi = {10.1016/j.cgh.2026.06.032},
pmid = {42435889},
issn = {1542-7714},
abstract = {BACKGROUND & AIMS: Alcohol-associated hepatitis is an acute and severe manifestation of alcohol-related liver injury that can occur at any stage of fibrosis. Despite its high mortality, reliable epidemiologic data on alcohol-associated hepatitis remain limited. We conducted a systematic review to synthesize available population-based estimates of alcohol-associated hepatitis annual incidence and point prevalence from 2000 to 2025.
METHODS: A comprehensive literature search of MEDLINE (PubMed), Scopus, and the Cochrane Library was performed. Eligible studies reporting population-based rates of alcohol-associated hepatitis were included. Risk of bias was assessed using the Joanna Briggs Institute Critical Appraisal Checklist for Studies Reporting Prevalence Data.
RESULTS: Eleven population-based studies from 7 countries were included. Reported annual incidence rates of alcohol-associated hepatitis ranged from 1.02 per 100,000 inhabitants in Iceland to 98.5 per 100,000 inhabitants in the United States, with a median incidence rate of 6.8 cases per 100,000 inhabitants (interquartile range, 4.2-19). Among the 9 studies reporting at least 2 estimates over time, 7 demonstrated an increasing incidence rate, whereas 2 reported a decrease. A prepandemic sensitivity analysis excluding studies affected by the COVID-19 pandemic showed a similar pattern, with incidence rates increasing in 5 of the 7 studies. Two studies reported a surge in incidence during the COVID-19 pandemic, whereas 1 of them extended follow-up beyond the pandemic period and observed a gradual return toward prepandemic levels. No studies reported prevalence data.
CONCLUSIONS: The global burden of alcohol-associated hepatitis remains poorly characterized. Existing population-based estimates are highly heterogeneous, reflecting differences in case definitions as well as probable true epidemiologic variation across countries, and collectively suggest an increasing trend over the past 25 years. These findings underscore the urgent need for prospective studies employing standardized and harmonized methodologies to more accurately define the burden of this condition.},
}
RevDate: 2026-08-13
CmpDate: 2026-07-12
The Impact of COVID-19 Infection and Vaccination on Neuromyelitis Optica Spectrum Disorder and Myelin Oligodendrocyte Glycoprotein Antibody Disease: A Narrative Review.
Journal of central nervous system disease, 18:11795735261467600.
Despite the estimated 776 million coronavirus disease 2019 (COVID-19) cases globally, little is known about its impact on immune-mediated neurological disorders such as neuromyelitis optica spectrum disorder (NMOSD) and myelin oligodendrocyte glycoprotein antibody disorder (MOGAD). Scattered case reports, and reviews address this association, but none have collectively examined the impact of COVID-19 infection or vaccination on established and new-onset NMOSD and MOGAD. Reviewing all published reports of COVID-19 infection and vaccination in NMOSD and MOGAD from December 2019 to October 2024, this report examined the effects of infection and vaccination on patients with established disease and the occurrence of new-onset NMOSD and MOGAD. Outcomes associated with COVID-19 infection in NMOSD and MOGAD patients revealed similar hospitalization rates but a notable difference in deaths in NMOSD patients treated with rituximab. Following COVID-19 infection, twice as many patients developed new-onset MOGAD compared to NMOSD, with a similar larger number of patients who developed MOGAD than NMOSD post-COVID-19 vaccination. While the heavy female predominance in NMOSD is well-established, a greater ratio of male to female patients developed MOGAD post-infection and post-vaccination. Clinicians should closely monitor NMOSD patients with COVID-19 infection, particularly those receiving B-cell depleting therapies, among whom mortality was more frequently reported. The rise in NMOSD and MOGAD following COVID-19 infection and vaccination cases warrants further investigation of the underlying immunological mechanisms. Molecular mimicry and a bystander immune-mediated injury likely play a greater role in central nervous system damage than does direct viral injury.
Additional Links: PMID-42436688
PubMed:
Citation:
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@article {pmid42436688,
year = {2026},
author = {Hernandez, J and Delgado, S and McCarthy, M and Nelson, F and Rammohan, K},
title = {The Impact of COVID-19 Infection and Vaccination on Neuromyelitis Optica Spectrum Disorder and Myelin Oligodendrocyte Glycoprotein Antibody Disease: A Narrative Review.},
journal = {Journal of central nervous system disease},
volume = {18},
number = {},
pages = {11795735261467600},
pmid = {42436688},
issn = {1179-5735},
abstract = {Despite the estimated 776 million coronavirus disease 2019 (COVID-19) cases globally, little is known about its impact on immune-mediated neurological disorders such as neuromyelitis optica spectrum disorder (NMOSD) and myelin oligodendrocyte glycoprotein antibody disorder (MOGAD). Scattered case reports, and reviews address this association, but none have collectively examined the impact of COVID-19 infection or vaccination on established and new-onset NMOSD and MOGAD. Reviewing all published reports of COVID-19 infection and vaccination in NMOSD and MOGAD from December 2019 to October 2024, this report examined the effects of infection and vaccination on patients with established disease and the occurrence of new-onset NMOSD and MOGAD. Outcomes associated with COVID-19 infection in NMOSD and MOGAD patients revealed similar hospitalization rates but a notable difference in deaths in NMOSD patients treated with rituximab. Following COVID-19 infection, twice as many patients developed new-onset MOGAD compared to NMOSD, with a similar larger number of patients who developed MOGAD than NMOSD post-COVID-19 vaccination. While the heavy female predominance in NMOSD is well-established, a greater ratio of male to female patients developed MOGAD post-infection and post-vaccination. Clinicians should closely monitor NMOSD patients with COVID-19 infection, particularly those receiving B-cell depleting therapies, among whom mortality was more frequently reported. The rise in NMOSD and MOGAD following COVID-19 infection and vaccination cases warrants further investigation of the underlying immunological mechanisms. Molecular mimicry and a bystander immune-mediated injury likely play a greater role in central nervous system damage than does direct viral injury.},
}
RevDate: 2026-08-13
CmpDate: 2026-07-13
Metabolomic datasets in COVID-19 research: a systematic literature review of availability, characteristics, and methodologies.
PeerJ, 14:e21313.
The COVID-19 pandemic has accelerated the integration of metabolomics and Machine Learning in biomedical research, resulting in the creation of numerous datasets with high potential for reuse. However, information regarding their accessibility, quality, and usability remains scattered and inconsistent. This systematic review aims to identify and evaluate publicly available human metabolomic datasets related to COVID-19, providing detailed information on their main characteristics and how to access them, with the goal to inform their potential for reuse in future research. Following PRISMA guidelines and the Kitchenham methodology, we conducted a comprehensive search of the scientific literature and specialized metabolomics repositories, identifying 110 unique datasets. Each dataset was assessed based on 15 variables related to data availability, accessibility, collection methodologies, sample sizes, and the extent of participant metadata provided. These datasets offer significant value for secondary analyses and ML applications, contributing to insights into disease mechanisms, early diagnosis, and patient stratification. By offering a structured overview of dataset characteristics, this review aims to support researchers in identifying suitable resources, encourages data reuse, and promotes best practices for data sharing and standardization in the context of COVID-19 and metabolomics. Nonetheless, our findings reveal critical limitations, including the underuse of dedicated repositories, frequent unavailability of raw data, lack of standardization in processed data, and insufficient metadata-particularly regarding participant demographics and clinical information. Inconsistencies in data formats and reporting standards further hinder dataset findability, interoperability, and reuse. To enhance the value and impact of future metabolomic research, we recommend adopting standardized reporting guidelines, improving metadata completeness, ensuring the availability of raw data, and promoting the use of interoperable repositories to facilitate reproducibility, integration, and broader application of shared datasets.
Additional Links: PMID-42438709
PubMed:
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@article {pmid42438709,
year = {2026},
author = {Torres-Pasillas, HA and Luna-García, H and Celaya-Padilla, JM and Espino-Salinas, CH and Acra-Despradel, C and Villalba-Condori, K and Cárdenas Núñez, YM},
title = {Metabolomic datasets in COVID-19 research: a systematic literature review of availability, characteristics, and methodologies.},
journal = {PeerJ},
volume = {14},
number = {},
pages = {e21313},
pmid = {42438709},
issn = {2167-8359},
mesh = {Humans ; *Metabolomics/methods ; *COVID-19/metabolism ; *Biomedical Research ; SARS-CoV-2 ; *Datasets as Topic ; Information Dissemination ; },
abstract = {The COVID-19 pandemic has accelerated the integration of metabolomics and Machine Learning in biomedical research, resulting in the creation of numerous datasets with high potential for reuse. However, information regarding their accessibility, quality, and usability remains scattered and inconsistent. This systematic review aims to identify and evaluate publicly available human metabolomic datasets related to COVID-19, providing detailed information on their main characteristics and how to access them, with the goal to inform their potential for reuse in future research. Following PRISMA guidelines and the Kitchenham methodology, we conducted a comprehensive search of the scientific literature and specialized metabolomics repositories, identifying 110 unique datasets. Each dataset was assessed based on 15 variables related to data availability, accessibility, collection methodologies, sample sizes, and the extent of participant metadata provided. These datasets offer significant value for secondary analyses and ML applications, contributing to insights into disease mechanisms, early diagnosis, and patient stratification. By offering a structured overview of dataset characteristics, this review aims to support researchers in identifying suitable resources, encourages data reuse, and promotes best practices for data sharing and standardization in the context of COVID-19 and metabolomics. Nonetheless, our findings reveal critical limitations, including the underuse of dedicated repositories, frequent unavailability of raw data, lack of standardization in processed data, and insufficient metadata-particularly regarding participant demographics and clinical information. Inconsistencies in data formats and reporting standards further hinder dataset findability, interoperability, and reuse. To enhance the value and impact of future metabolomic research, we recommend adopting standardized reporting guidelines, improving metadata completeness, ensuring the availability of raw data, and promoting the use of interoperable repositories to facilitate reproducibility, integration, and broader application of shared datasets.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Metabolomics/methods
*COVID-19/metabolism
*Biomedical Research
SARS-CoV-2
*Datasets as Topic
Information Dissemination
RevDate: 2026-09-10
CmpDate: 2026-07-13
Use of corticosteroids in sepsis and infectious diseases: a narrative review.
The Korean journal of internal medicine, 41(4):585-596.
Critically ill patients with septic shock exhibit dysregulated host inflammatory responses. Critical illness-related corticosteroid insufficiency (CIRCI) has been recognized as a potential contributor to poor outcomes in critically ill patients. CIRCI is characterized by dysregulation of the hypothalamic-pituitary-adrenal axis, which results in a state of systemic inflammation through altered cortisol metabolism and tissue resistance to corticosteroids, all of which may lead to systemic inflammation. Based on these pathophysiological mechanisms, the beneficial anti-inflammatory effects of corticosteroids have been proposed and evaluated in several clinical trials. However, evidence of the beneficial effects of corticosteroids has been evolving for years. While some studies have demonstrated beneficial outcomes, such as accelerated shock reversal, reduced duration of mechanical ventilation, and reduced mortality, other studies have failed to demonstrate significant mortality benefits. Such disparity in studies suggests the heterogeneity of critical illnesses and the difficulty in identifying optimal indications for corticosteroids. Recent studies demonstrated the beneficial role of corticosteroids in patients with severe COVID-19 and community-acquired pneumonia. Given the evolving body of evidence, this review discusses the utility of corticosteroids in critically ill patients, including those with sepsis, septic shock, COVID-19, and severe community-acquired pneumonia.
Additional Links: PMID-42438902
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@article {pmid42438902,
year = {2026},
author = {Kim, JH},
title = {Use of corticosteroids in sepsis and infectious diseases: a narrative review.},
journal = {The Korean journal of internal medicine},
volume = {41},
number = {4},
pages = {585-596},
pmid = {42438902},
issn = {2005-6648},
mesh = {Humans ; *Adrenal Cortex Hormones/therapeutic use/adverse effects ; *Anti-Inflammatory Agents/therapeutic use/adverse effects ; Community-Acquired Pneumonia/drug therapy ; COVID-19 ; *COVID-19 Drug Treatment ; Critical Illness ; Pandemics ; SARS-CoV-2 ; *Sepsis/drug therapy ; Shock, Septic/drug therapy ; Treatment Outcome ; },
abstract = {Critically ill patients with septic shock exhibit dysregulated host inflammatory responses. Critical illness-related corticosteroid insufficiency (CIRCI) has been recognized as a potential contributor to poor outcomes in critically ill patients. CIRCI is characterized by dysregulation of the hypothalamic-pituitary-adrenal axis, which results in a state of systemic inflammation through altered cortisol metabolism and tissue resistance to corticosteroids, all of which may lead to systemic inflammation. Based on these pathophysiological mechanisms, the beneficial anti-inflammatory effects of corticosteroids have been proposed and evaluated in several clinical trials. However, evidence of the beneficial effects of corticosteroids has been evolving for years. While some studies have demonstrated beneficial outcomes, such as accelerated shock reversal, reduced duration of mechanical ventilation, and reduced mortality, other studies have failed to demonstrate significant mortality benefits. Such disparity in studies suggests the heterogeneity of critical illnesses and the difficulty in identifying optimal indications for corticosteroids. Recent studies demonstrated the beneficial role of corticosteroids in patients with severe COVID-19 and community-acquired pneumonia. Given the evolving body of evidence, this review discusses the utility of corticosteroids in critically ill patients, including those with sepsis, septic shock, COVID-19, and severe community-acquired pneumonia.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Adrenal Cortex Hormones/therapeutic use/adverse effects
*Anti-Inflammatory Agents/therapeutic use/adverse effects
Community-Acquired Pneumonia/drug therapy
COVID-19
*COVID-19 Drug Treatment
Critical Illness
Pandemics
SARS-CoV-2
*Sepsis/drug therapy
Shock, Septic/drug therapy
Treatment Outcome
RevDate: 2026-08-13
CmpDate: 2026-07-13
Autoimmune diseases in the era of COVID-19: emerging mechanisms, clinical implications, vaccine considerations, and future directions.
The Korean journal of internal medicine, 41(4):597-619.
The coronavirus disease 2019 (COVID-19) pandemic has highlighted a complex, bidirectional relationship between SARSCoV-2 infection and autoimmune diseases. This review examines how SARS-CoV-2 infection influences the incidence, progression, and outcomes of five major autoimmune conditions: systemic lupus erythematosus, rheumatoid arthritis, multiple sclerosis, inflammatory bowel disease, and Guillain-Barré syndrome. Patients with autoimmune diseases are at increased risk of severe COVID-19 due to intrinsic immune dysregulation and the use of immunosuppressive therapies, both of which impair antiviral host defenses. Conversely, COVID-19 has been implicated in the initiation and exacerbation of autoimmune responses through mechanisms such as molecular mimicry and bystander activation. Concerns have also arisen regarding the safety and efficacy of COVID-19 vaccines in immunocompromised populations. Although vaccines are generally tolerated in these individuals, certain immunosuppressive therapies may attenuate humoral and cellular immune responses. Strategies such as adjusting immunosuppressive regimens and optimizing the timing of vaccination have been proposed to improve vaccine efficacy. Disease-specific considerations are essential to balance infection risk with adequate control of autoimmune activity. Overall, this review underscores the importance of individualized treatment strategies, close clinical monitoring, and interdisciplinary care in managing patients with autoimmune diseases during the COVID-19 pandemic. A deeper understanding of these interactions will be critical for improving patient outcomes and preparing for future pandemics involving immune-mediated diseases.
Additional Links: PMID-42438903
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@article {pmid42438903,
year = {2026},
author = {Kong, J and Hong, S and Oh, J and Lee, S and Smith, L and Branda, F and Cho, H and Hwang, J and Yon, DK},
title = {Autoimmune diseases in the era of COVID-19: emerging mechanisms, clinical implications, vaccine considerations, and future directions.},
journal = {The Korean journal of internal medicine},
volume = {41},
number = {4},
pages = {597-619},
pmid = {42438903},
issn = {2005-6648},
support = {//Institute of Information & Communications Technology Planning & Evaluation/ ; RS-2024-00509257//Ministry of Science and ICT/ ; },
mesh = {Humans ; *COVID-19/immunology ; *Autoimmune Diseases/immunology/drug therapy/epidemiology ; *COVID-19 Vaccines/adverse effects ; SARS-CoV-2/immunology ; Immunosuppressive Agents/therapeutic use/adverse effects ; Immunocompromised Host ; Pandemics ; Risk Factors ; },
abstract = {The coronavirus disease 2019 (COVID-19) pandemic has highlighted a complex, bidirectional relationship between SARSCoV-2 infection and autoimmune diseases. This review examines how SARS-CoV-2 infection influences the incidence, progression, and outcomes of five major autoimmune conditions: systemic lupus erythematosus, rheumatoid arthritis, multiple sclerosis, inflammatory bowel disease, and Guillain-Barré syndrome. Patients with autoimmune diseases are at increased risk of severe COVID-19 due to intrinsic immune dysregulation and the use of immunosuppressive therapies, both of which impair antiviral host defenses. Conversely, COVID-19 has been implicated in the initiation and exacerbation of autoimmune responses through mechanisms such as molecular mimicry and bystander activation. Concerns have also arisen regarding the safety and efficacy of COVID-19 vaccines in immunocompromised populations. Although vaccines are generally tolerated in these individuals, certain immunosuppressive therapies may attenuate humoral and cellular immune responses. Strategies such as adjusting immunosuppressive regimens and optimizing the timing of vaccination have been proposed to improve vaccine efficacy. Disease-specific considerations are essential to balance infection risk with adequate control of autoimmune activity. Overall, this review underscores the importance of individualized treatment strategies, close clinical monitoring, and interdisciplinary care in managing patients with autoimmune diseases during the COVID-19 pandemic. A deeper understanding of these interactions will be critical for improving patient outcomes and preparing for future pandemics involving immune-mediated diseases.},
}
MeSH Terms:
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Humans
*COVID-19/immunology
*Autoimmune Diseases/immunology/drug therapy/epidemiology
*COVID-19 Vaccines/adverse effects
SARS-CoV-2/immunology
Immunosuppressive Agents/therapeutic use/adverse effects
Immunocompromised Host
Pandemics
Risk Factors
RevDate: 2026-07-30
CmpDate: 2026-07-29
Platelet-Activating Anti-Platelet Factor 4 Disorders.
The New England journal of medicine, 395(5):478-491.
Platelet-activating antibodies against platelet factor 4 (PF4) cause highly prothrombotic disorders with reduced platelet counts. In heparin-induced thrombocytopenia (HIT), these antibodies bind PF4-heparin complexes, causing heparin-dependent platelet activation. Less common autoimmune and spontaneous HIT variants that are triggered by heparin and nonpharmacologic polyanions, respectively, have atypical clinical features and antibodies with additional heparin-independent platelet-activating properties. Vaccine-induced immune thrombocytopenia and thrombosis (VITT) antibodies directly target PF4. Initially, VITT was linked to adenoviral vector-based coronavirus disease 2019 vaccines, but in rare cases, an immune thrombocytopenia and thrombosis disorder that is clinically nearly identical to VITT can be caused by infection resulting from natural exposure to viruses, especially adenovirus. In persons with the IGLV3-21*02/*03 gene, anti-adenovirus protein VII antibody specificity shifts to PF4 by way of a specific somatic hypermutation (K31E) that creates VITT antibodies. In VITT-like monoclonal gammopathy of thrombotic significance, monoclonal anti-PF4 antibodies cause chronic prothrombotic conditions. Accurate diagnosis relies on distinct assays for HIT and VITT antibodies. Beyond anticoagulation, inhibition of FcγIIa receptor-mediated platelet activation may be needed for anti-PF4 disorders with heparin-independent reactivity (e.g., high-dose immune globulin in acute disease manifestations and Bruton's tyrosine kinase inhibitors in chronic manifestations).
Additional Links: PMID-42441431
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@article {pmid42441431,
year = {2026},
author = {Warkentin, TE and Greinacher, A},
title = {Platelet-Activating Anti-Platelet Factor 4 Disorders.},
journal = {The New England journal of medicine},
volume = {395},
number = {5},
pages = {478-491},
doi = {10.1056/NEJMra2502459},
pmid = {42441431},
issn = {1533-4406},
mesh = {Humans ; *Autoantibodies/blood/immunology ; COVID-19 Vaccines/adverse effects/immunology ; Heparin/adverse effects/immunology ; Paraproteinemias/blood/diagnosis/drug therapy/immunology ; *Platelet Activation/drug effects/immunology ; *Platelet Factor 4/immunology ; Purpura, Thrombocytopenic, Idiopathic/blood/diagnosis/drug therapy/immunology ; *Thrombocytopenia/blood/diagnosis/drug therapy/immunology ; *Thrombosis/blood/diagnosis/drug therapy/immunology ; Platelet Count ; Adenoviruses, Human/immunology ; Anticoagulants/administration & dosage ; Immunoglobulins, Intravenous/administration & dosage ; Tyrosine Kinase Inhibitors/administration & dosage ; Agammaglobulinaemia Tyrosine Kinase/antagonists & inhibitors ; },
abstract = {Platelet-activating antibodies against platelet factor 4 (PF4) cause highly prothrombotic disorders with reduced platelet counts. In heparin-induced thrombocytopenia (HIT), these antibodies bind PF4-heparin complexes, causing heparin-dependent platelet activation. Less common autoimmune and spontaneous HIT variants that are triggered by heparin and nonpharmacologic polyanions, respectively, have atypical clinical features and antibodies with additional heparin-independent platelet-activating properties. Vaccine-induced immune thrombocytopenia and thrombosis (VITT) antibodies directly target PF4. Initially, VITT was linked to adenoviral vector-based coronavirus disease 2019 vaccines, but in rare cases, an immune thrombocytopenia and thrombosis disorder that is clinically nearly identical to VITT can be caused by infection resulting from natural exposure to viruses, especially adenovirus. In persons with the IGLV3-21*02/*03 gene, anti-adenovirus protein VII antibody specificity shifts to PF4 by way of a specific somatic hypermutation (K31E) that creates VITT antibodies. In VITT-like monoclonal gammopathy of thrombotic significance, monoclonal anti-PF4 antibodies cause chronic prothrombotic conditions. Accurate diagnosis relies on distinct assays for HIT and VITT antibodies. Beyond anticoagulation, inhibition of FcγIIa receptor-mediated platelet activation may be needed for anti-PF4 disorders with heparin-independent reactivity (e.g., high-dose immune globulin in acute disease manifestations and Bruton's tyrosine kinase inhibitors in chronic manifestations).},
}
MeSH Terms:
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Humans
*Autoantibodies/blood/immunology
COVID-19 Vaccines/adverse effects/immunology
Heparin/adverse effects/immunology
Paraproteinemias/blood/diagnosis/drug therapy/immunology
*Platelet Activation/drug effects/immunology
*Platelet Factor 4/immunology
Purpura, Thrombocytopenic, Idiopathic/blood/diagnosis/drug therapy/immunology
*Thrombocytopenia/blood/diagnosis/drug therapy/immunology
*Thrombosis/blood/diagnosis/drug therapy/immunology
Platelet Count
Adenoviruses, Human/immunology
Anticoagulants/administration & dosage
Immunoglobulins, Intravenous/administration & dosage
Tyrosine Kinase Inhibitors/administration & dosage
Agammaglobulinaemia Tyrosine Kinase/antagonists & inhibitors
RevDate: 2026-08-13
CmpDate: 2026-07-13
Mapping global inequities in telemedicine implementation: An umbrella review of barriers and facilitators.
PloS one, 21(7):e0351885.
Telemedicine expanded rapidly during the COVID-19 pandemic, yet its diffusion has remained uneven across health systems. Whether implementation challenges differ systematically across economic contexts, and what implications these differences hold for global digital health equity, has not been comprehensively characterized. This study presents an umbrella review (PROSPERO CRD42024615998) of systematic reviews and meta-analyses indexed in PubMed and Scopus through December 2025 that reported barriers and/or facilitators to telemedicine implementation. Methodological quality was appraised using R-AMSTAR. Reported items were extracted verbatim, embedded with the Universal Sentence Encoder, and grouped into thematic clusters using HDBSCAN density-based clustering, with parameters optimized by SLSQP for cluster cohesion (median intra-cluster similarity ≥ 0.5). Analyses were stratified by World Bank country income group to characterize context-specific implementation profiles, identify evidence gaps, and detect orphaned barriers, defined as challenges lacking any corresponding documented facilitator. A total of 161 systematic reviews were included, yielding 1,333 barriers and 504 facilitators (corresponding to a barrier-to-facilitator ratio of 2.6:1). Across all settings, the most frequently reported barriers were high costs (n = 106), technical issues (n = 94), and training and knowledge (n = 91). Thematic profiles differed markedly by income group: high-income countries reported predominantly second-generation challenges centered on workflow integration, interoperability, and user experience, whereas lower-middle-income countries reported foundational barriers centered on infrastructures and costs. Evidence produced from low-income countries was entirely absent. Several high-frequency barriers lacked corresponding facilitator clusters, indicating challenges for which the published literature provides no documented solutions. The global telemedicine evidence base is itself inequitably distributed and risks reinforcing the disparities it is intended to reduce. High-income settings require implementation research focused on human and organizational factors, whereas lower-income settings require foundational research and investment in basic infrastructures before workflow-level optimization becomes meaningful. Without context-specific, equity-oriented strategies, telemedicine risks widening rather than narrowing the global digital health divide.
Additional Links: PMID-42441648
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@article {pmid42441648,
year = {2026},
author = {Capodici, A and Filippeschi, A and Noci, F and Michelucci, A and El Motarajji, S and Benedetto, V and Vandelli, A and Passino, C and Emdin, M and Nuti, S and Avizzano, CA and Bellè, N and Giannoni, A},
title = {Mapping global inequities in telemedicine implementation: An umbrella review of barriers and facilitators.},
journal = {PloS one},
volume = {21},
number = {7},
pages = {e0351885},
pmid = {42441648},
issn = {1932-6203},
mesh = {Humans ; *Telemedicine ; *COVID-19/epidemiology ; SARS-CoV-2/isolation & purification ; Digital Health ; Global Health ; *Healthcare Disparities ; Evidence Gaps ; },
abstract = {Telemedicine expanded rapidly during the COVID-19 pandemic, yet its diffusion has remained uneven across health systems. Whether implementation challenges differ systematically across economic contexts, and what implications these differences hold for global digital health equity, has not been comprehensively characterized. This study presents an umbrella review (PROSPERO CRD42024615998) of systematic reviews and meta-analyses indexed in PubMed and Scopus through December 2025 that reported barriers and/or facilitators to telemedicine implementation. Methodological quality was appraised using R-AMSTAR. Reported items were extracted verbatim, embedded with the Universal Sentence Encoder, and grouped into thematic clusters using HDBSCAN density-based clustering, with parameters optimized by SLSQP for cluster cohesion (median intra-cluster similarity ≥ 0.5). Analyses were stratified by World Bank country income group to characterize context-specific implementation profiles, identify evidence gaps, and detect orphaned barriers, defined as challenges lacking any corresponding documented facilitator. A total of 161 systematic reviews were included, yielding 1,333 barriers and 504 facilitators (corresponding to a barrier-to-facilitator ratio of 2.6:1). Across all settings, the most frequently reported barriers were high costs (n = 106), technical issues (n = 94), and training and knowledge (n = 91). Thematic profiles differed markedly by income group: high-income countries reported predominantly second-generation challenges centered on workflow integration, interoperability, and user experience, whereas lower-middle-income countries reported foundational barriers centered on infrastructures and costs. Evidence produced from low-income countries was entirely absent. Several high-frequency barriers lacked corresponding facilitator clusters, indicating challenges for which the published literature provides no documented solutions. The global telemedicine evidence base is itself inequitably distributed and risks reinforcing the disparities it is intended to reduce. High-income settings require implementation research focused on human and organizational factors, whereas lower-income settings require foundational research and investment in basic infrastructures before workflow-level optimization becomes meaningful. Without context-specific, equity-oriented strategies, telemedicine risks widening rather than narrowing the global digital health divide.},
}
MeSH Terms:
show MeSH Terms
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Humans
*Telemedicine
*COVID-19/epidemiology
SARS-CoV-2/isolation & purification
Digital Health
Global Health
*Healthcare Disparities
Evidence Gaps
RevDate: 2026-10-19
CmpDate: 2026-10-07
Nursing Diagnosis "Maladaptive Coping with Infodemic": A Concept Analysis.
International journal of nursing knowledge, 37(3):466-479.
ObjectivesTo analyze the concept of infodemic in health as a theoretical basis for proposing the nursing diagnosis "Maladaptive Coping with the Infodemic".MethodsA conceptual analysis guided by the Walker and Avant method was conducted, following the steps of identifying the uses of the concept, attributes, antecedents, consequences, empirical referents, and model and contrary cases. To construct the definitions, an integrative literature review was carried out in June 2024.ResultsThirty-three studies addressing the concept of infodemic in individual health were identified. The core elements of the concept include information overload, disinformation, misinformation, fake news. The antecedents include the pandemic, low educational level, low income, and low health literacy with depression identified as an associated condition. The consequences include incorrect health actions (e.g., refusal to vaccinate), risk-prone behaviors (e.g., lack of protective measures), anxiety, stress, fear, social isolation, and insomnia, substance abuse.ConclusionsThe proposed nursing diagnosis, "Maladaptive Coping with the Infodemic," provides a theoretical framework to support nurses in identifying behaviors and psychological impacts associated with misinformation and to guide targeted nursing interventions.
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@article {pmid42441796,
year = {2026},
author = {da Costa, ECR and Santana, RF and Rembold, SM and Sales, FM and Cavalcante, RB},
title = {Nursing Diagnosis "Maladaptive Coping with Infodemic": A Concept Analysis.},
journal = {International journal of nursing knowledge},
volume = {37},
number = {3},
pages = {466-479},
doi = {10.1177/20473087261443259},
pmid = {42441796},
issn = {2047-3095},
mesh = {Humans ; *Adaptation, Psychological ; Coping Skills ; *Nursing Diagnosis ; },
abstract = {ObjectivesTo analyze the concept of infodemic in health as a theoretical basis for proposing the nursing diagnosis "Maladaptive Coping with the Infodemic".MethodsA conceptual analysis guided by the Walker and Avant method was conducted, following the steps of identifying the uses of the concept, attributes, antecedents, consequences, empirical referents, and model and contrary cases. To construct the definitions, an integrative literature review was carried out in June 2024.ResultsThirty-three studies addressing the concept of infodemic in individual health were identified. The core elements of the concept include information overload, disinformation, misinformation, fake news. The antecedents include the pandemic, low educational level, low income, and low health literacy with depression identified as an associated condition. The consequences include incorrect health actions (e.g., refusal to vaccinate), risk-prone behaviors (e.g., lack of protective measures), anxiety, stress, fear, social isolation, and insomnia, substance abuse.ConclusionsThe proposed nursing diagnosis, "Maladaptive Coping with the Infodemic," provides a theoretical framework to support nurses in identifying behaviors and psychological impacts associated with misinformation and to guide targeted nursing interventions.},
}
MeSH Terms:
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Humans
*Adaptation, Psychological
Coping Skills
*Nursing Diagnosis
RevDate: 2026-07-21
CmpDate: 2026-07-21
Intravenous immunoglobulin therapy in viral infections: Lessons learned from COVID-19.
Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie, 201:119762.
OBJECTIVES: Intravenous immunoglobulin (IVIg) exerts both antiviral and immunomodulatory effects, but its role in viral infections remains incompletely defined. This review aims to provide an integrated overview of IVIg mechanisms of action and to evaluate its clinical relevance in viral diseases, with particular emphasis on coronavirus disease 2019 (COVID-19).
METHODS: A structured narrative literature review was conducted using PubMed (MEDLINE) and complemented by manual screening of the reference lists of relevant publications. The search included studies available through early 2026 addressing the mechanisms of action of IVIg and its clinical application in viral infections. Records were screened by title, abstract, and full-text evaluation according to predefined eligibility criteria, and the evidence was synthesized qualitatively.
RESULTS: IVIg acts through multiple mechanisms, including fragment antigen binding (Fab)-mediated neutralization, fragment crystallizable (Fc) receptor modulation, complement inhibition, cytokine regulation, and neonatal Fc receptor (FcRn)-mediated immunoglobulin G clearance. In immunodeficient patients, IVIg provides passive antiviral immunity and improves viral control. In contrast, in severe viral infections such as COVID-19, disease severity is largely driven by immune dysregulation. In this context, IVIg may exert benefit primarily through immunomodulatory effects rather than direct antiviral activity. Clinical studies in COVID-19 have shown heterogeneous results, influenced by treatment timing, patient selection, dosing strategies, and concomitant therapies.
CONCLUSIONS: IVIg should be considered a context-dependent immunomodulatory therapy rather than a universal antiviral strategy. Its clinical efficacy likely depends on alignment between its mechanisms and disease-specific immunopathology, highlighting the need for biomarker-guided and stage-specific therapeutic approaches.
Additional Links: PMID-42442307
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@article {pmid42442307,
year = {2026},
author = {Alaka, M and Tuaillon, E and Desnues, B},
title = {Intravenous immunoglobulin therapy in viral infections: Lessons learned from COVID-19.},
journal = {Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie},
volume = {201},
number = {},
pages = {119762},
doi = {10.1016/j.biopha.2026.119762},
pmid = {42442307},
issn = {1950-6007},
mesh = {Humans ; *Immunoglobulins, Intravenous/therapeutic use/pharmacology ; *COVID-19/immunology ; *COVID-19 Drug Treatment ; *Virus Diseases/drug therapy/immunology ; SARS-CoV-2/immunology ; Animals ; Antiviral Agents/therapeutic use ; Immunologic Factors/therapeutic use ; },
abstract = {OBJECTIVES: Intravenous immunoglobulin (IVIg) exerts both antiviral and immunomodulatory effects, but its role in viral infections remains incompletely defined. This review aims to provide an integrated overview of IVIg mechanisms of action and to evaluate its clinical relevance in viral diseases, with particular emphasis on coronavirus disease 2019 (COVID-19).
METHODS: A structured narrative literature review was conducted using PubMed (MEDLINE) and complemented by manual screening of the reference lists of relevant publications. The search included studies available through early 2026 addressing the mechanisms of action of IVIg and its clinical application in viral infections. Records were screened by title, abstract, and full-text evaluation according to predefined eligibility criteria, and the evidence was synthesized qualitatively.
RESULTS: IVIg acts through multiple mechanisms, including fragment antigen binding (Fab)-mediated neutralization, fragment crystallizable (Fc) receptor modulation, complement inhibition, cytokine regulation, and neonatal Fc receptor (FcRn)-mediated immunoglobulin G clearance. In immunodeficient patients, IVIg provides passive antiviral immunity and improves viral control. In contrast, in severe viral infections such as COVID-19, disease severity is largely driven by immune dysregulation. In this context, IVIg may exert benefit primarily through immunomodulatory effects rather than direct antiviral activity. Clinical studies in COVID-19 have shown heterogeneous results, influenced by treatment timing, patient selection, dosing strategies, and concomitant therapies.
CONCLUSIONS: IVIg should be considered a context-dependent immunomodulatory therapy rather than a universal antiviral strategy. Its clinical efficacy likely depends on alignment between its mechanisms and disease-specific immunopathology, highlighting the need for biomarker-guided and stage-specific therapeutic approaches.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Immunoglobulins, Intravenous/therapeutic use/pharmacology
*COVID-19/immunology
*COVID-19 Drug Treatment
*Virus Diseases/drug therapy/immunology
SARS-CoV-2/immunology
Animals
Antiviral Agents/therapeutic use
Immunologic Factors/therapeutic use
RevDate: 2026-10-15
CmpDate: 2026-10-13
Nasal immunity in respiratory viral infection, transmission, and protection.
Immunity, 59(10):2623-2642.
The nasal mucosa plays key roles in protecting against airborne pathogens as the major barrier to the airway. Catalyzed by the COVID-19 pandemic, recent studies focusing on nasal immunity have begun to elucidate how epithelial and immune cells work in concert to fight viral infection, reduce spread to the lower airways, and limit onward transmission. Technologies such as single-cell RNA sequencing and air-liquid interface models are enabling high-resolution views of the cell states and responses that dictate infection resolution and memory formation. Here, we review our current understanding of the cells of the nasal mucosa at homeostasis and their responses during and following viral infection in mice and humans. We discuss emerging correlates of protection before and after exposure, noting the differences between infection and intramuscular vaccination. Finally, we examine novel intranasal vaccination strategies and propose approaches to program tissue-scale memory into the nose to prevent disease and viral spread.
Additional Links: PMID-42442360
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@article {pmid42442360,
year = {2026},
author = {Kazer, SW and Walsh, JML and Juttukonda, LJ and Ordovas-Montanes, J},
title = {Nasal immunity in respiratory viral infection, transmission, and protection.},
journal = {Immunity},
volume = {59},
number = {10},
pages = {2623-2642},
pmid = {42442360},
issn = {1097-4180},
support = {R01 DE031928/DE/NIDCR NIH HHS/United States ; R01 HL162642/HL/NHLBI NIH HHS/United States ; T32 HD098061/HD/NICHD NIH HHS/United States ; },
mesh = {Humans ; Animals ; *Nasal Mucosa/immunology/virology ; *COVID-19/immunology/transmission/prevention & control ; *SARS-CoV-2/immunology ; *Immunity, Mucosal ; Mice ; Vaccination ; Immunologic Memory ; *Respiratory Tract Infections/immunology/transmission ; Administration, Intranasal ; },
abstract = {The nasal mucosa plays key roles in protecting against airborne pathogens as the major barrier to the airway. Catalyzed by the COVID-19 pandemic, recent studies focusing on nasal immunity have begun to elucidate how epithelial and immune cells work in concert to fight viral infection, reduce spread to the lower airways, and limit onward transmission. Technologies such as single-cell RNA sequencing and air-liquid interface models are enabling high-resolution views of the cell states and responses that dictate infection resolution and memory formation. Here, we review our current understanding of the cells of the nasal mucosa at homeostasis and their responses during and following viral infection in mice and humans. We discuss emerging correlates of protection before and after exposure, noting the differences between infection and intramuscular vaccination. Finally, we examine novel intranasal vaccination strategies and propose approaches to program tissue-scale memory into the nose to prevent disease and viral spread.},
}
MeSH Terms:
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Humans
Animals
*Nasal Mucosa/immunology/virology
*COVID-19/immunology/transmission/prevention & control
*SARS-CoV-2/immunology
*Immunity, Mucosal
Mice
Vaccination
Immunologic Memory
*Respiratory Tract Infections/immunology/transmission
Administration, Intranasal
RevDate: 2026-08-15
CmpDate: 2026-08-13
Reassessing Early COVID-19 Strategies in East Asia: Insights From Japan and Korea.
Journal of preventive medicine and public health = Yebang Uihakhoe chi, 59(4):343-351.
East Asian countries had remarkably low coronavirus disease 2019 (COVID-19) mortality in 2020, a pattern widely cited as evidence of effective public health interventions. However, Japan and Korea-often classified as having followed similar early intervention strategies-adopted substantially different approaches. These differences are largely obscured by commonly used stringency indices and policy score analyses. While neither country implemented a lockdown, Korea pursued an aggressive, government-mandated strategy based on extensive testing, isolation, quarantine, and compulsory data collection. In contrast, Japan relied on a voluntary model with limited mass testing, a policy that drew strong criticism during the early phase of the pandemic. Because asymptomatic COVID-19 infection was highly prevalent, these divergent testing policies were particularly important in shaping patterns of community transmission. Using excess mortality as a comprehensive outcome metric, Japan's outcomes were as favorable as Korea's through the pre-Omicron period, despite Japan's limited testing. In 2020, excess mortality was negligible in both countries (-1.7% in Japan vs. +0.3 to +2.1% in Korea). In 2021, excess mortality increased modestly (+2.2% vs. +4.0 to +5.6%). However, in 2022, despite approximately 80% vaccination coverage in both countries, excess mortality reached +7.6% in Japan and about +20% in Korea-three times the Japanese level despite Korea's much higher booster rate. These patterns of excess mortality in 2 countries with contrasting testing strategies challenge the view that East Asia's early success stemmed primarily from stringent virus suppression measures. They highlight the need to consider alternative explanations, including the possibility that pre-existing immunity differed substantially across geographical regions.
Additional Links: PMID-42442743
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@article {pmid42442743,
year = {2026},
author = {Lee, DH and Kakeya, H},
title = {Reassessing Early COVID-19 Strategies in East Asia: Insights From Japan and Korea.},
journal = {Journal of preventive medicine and public health = Yebang Uihakhoe chi},
volume = {59},
number = {4},
pages = {343-351},
pmid = {42442743},
issn = {2233-4521},
mesh = {Humans ; Japan/epidemiology ; Republic of Korea/epidemiology ; *COVID-19/prevention & control/mortality/epidemiology/diagnosis ; Quarantine ; SARS-CoV-2 ; Public Health ; Pandemics/prevention & control ; COVID-19 Testing ; },
abstract = {East Asian countries had remarkably low coronavirus disease 2019 (COVID-19) mortality in 2020, a pattern widely cited as evidence of effective public health interventions. However, Japan and Korea-often classified as having followed similar early intervention strategies-adopted substantially different approaches. These differences are largely obscured by commonly used stringency indices and policy score analyses. While neither country implemented a lockdown, Korea pursued an aggressive, government-mandated strategy based on extensive testing, isolation, quarantine, and compulsory data collection. In contrast, Japan relied on a voluntary model with limited mass testing, a policy that drew strong criticism during the early phase of the pandemic. Because asymptomatic COVID-19 infection was highly prevalent, these divergent testing policies were particularly important in shaping patterns of community transmission. Using excess mortality as a comprehensive outcome metric, Japan's outcomes were as favorable as Korea's through the pre-Omicron period, despite Japan's limited testing. In 2020, excess mortality was negligible in both countries (-1.7% in Japan vs. +0.3 to +2.1% in Korea). In 2021, excess mortality increased modestly (+2.2% vs. +4.0 to +5.6%). However, in 2022, despite approximately 80% vaccination coverage in both countries, excess mortality reached +7.6% in Japan and about +20% in Korea-three times the Japanese level despite Korea's much higher booster rate. These patterns of excess mortality in 2 countries with contrasting testing strategies challenge the view that East Asia's early success stemmed primarily from stringent virus suppression measures. They highlight the need to consider alternative explanations, including the possibility that pre-existing immunity differed substantially across geographical regions.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
Japan/epidemiology
Republic of Korea/epidemiology
*COVID-19/prevention & control/mortality/epidemiology/diagnosis
Quarantine
SARS-CoV-2
Public Health
Pandemics/prevention & control
COVID-19 Testing
RevDate: 2026-08-13
CmpDate: 2026-07-14
Labor Pain Management Practices and Associated Factors Among Licensed Obstetric Care Providers in Ethiopia: A Systematic Review and Meta-Analysis.
Health science reports, 9(7):e72770.
BACKGROUND AND AIMS: Labor pain is a multidimensional experience influenced by emotional, cognitive, and cultural factors. It can be managed using pharmacological, non-pharmacological, or combined approaches. Licensed obstetric care providers (OCPs) are ethically obligated to ensure maternal comfort while safeguarding fetal safety. Evidence on labor pain management practices (LPMP) in Ethiopia remains inconsistent, as prior studies often included students or had unclear inclusion criteria. This systematic review and meta-analysis estimated the pooled prevalence of LPMP among licensed OCPs, identified associated factors, and examined trends before and during the COVID-19 pandemic.
METHODS: We searched major databases and repositories for studies published between January 1, 2018 and October 3, 2025. Risk of bias was assessed using the Joanna Briggs Institute checklist and modified Newcastle-Ottawa Scale, with inter-rater reliability analyses. Meta-analysis was conducted in STATA 17 using random or fixed-effects models. Heterogeneity was assessed using Cochran's Q test and quantified with I[2] statistic. Certainty of evidence rated using GRADE.
RESULTS: Twenty studies involving 7,202 participants were included. LPMP prevalence varied substantially across studies and settings. The pooled prevalence of overall LPMP was 46.9% (95% CI: 42.7-51.1; I[2] = 92.4%). Non-pharmacological practice was 42.8% (95% CI: 36.6-49.1), whereas pharmacological practice was 21.1% (95% CI: 12.5-29.7), decreasing to 15.2% after adjustment for publication bias. Pharmacological practice was modestly higher during COVID-19 (23.7% vs. 18.0%). Factors positively associated with LPMP included provider knowledge, attitudes, training, drug/protocol availability, supportive environments, higher education, longer experience, positive perceptions, being a midwife, and female sex. Certainty of evidence ranged from low to moderate.
CONCLUSION: LPMP prevalence varied considerably across studies and settings. While the pooled estimate suggests that fewer than half of Ethiopian OCPs practiced LPMP, substantial unexplained heterogeneity warrants cautious interpretation. Non-pharmacological methods were more commonly used than pharmacological approaches, highlighting opportunities to strengthen provider training, institutional support, and resource availability.
Additional Links: PMID-42445051
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@article {pmid42445051,
year = {2026},
author = {Balcha, WF and Kassahun, EA and Nega, AT and Abie, A and Demsie, DG and Negesse, CT and Feyisa, K and Mekonnen, BA and Biadigilign, TM and Addisu, ZD and Ayenew, W and Siraj, EA and Zewdie, S and Anagaw, YK and Alene, GM and Yismaw, MB and Yehualaw, A and Kebede, SY and Mihiretie, EA and Awoke, AM and Bante, SA and Tesfu, AA and Sendeku, FW and Demissie, BA and Shiferaw, WG and Megule, SM and Abebe, YM and Tessema, LW and Chekole, FA},
title = {Labor Pain Management Practices and Associated Factors Among Licensed Obstetric Care Providers in Ethiopia: A Systematic Review and Meta-Analysis.},
journal = {Health science reports},
volume = {9},
number = {7},
pages = {e72770},
pmid = {42445051},
issn = {2398-8835},
abstract = {BACKGROUND AND AIMS: Labor pain is a multidimensional experience influenced by emotional, cognitive, and cultural factors. It can be managed using pharmacological, non-pharmacological, or combined approaches. Licensed obstetric care providers (OCPs) are ethically obligated to ensure maternal comfort while safeguarding fetal safety. Evidence on labor pain management practices (LPMP) in Ethiopia remains inconsistent, as prior studies often included students or had unclear inclusion criteria. This systematic review and meta-analysis estimated the pooled prevalence of LPMP among licensed OCPs, identified associated factors, and examined trends before and during the COVID-19 pandemic.
METHODS: We searched major databases and repositories for studies published between January 1, 2018 and October 3, 2025. Risk of bias was assessed using the Joanna Briggs Institute checklist and modified Newcastle-Ottawa Scale, with inter-rater reliability analyses. Meta-analysis was conducted in STATA 17 using random or fixed-effects models. Heterogeneity was assessed using Cochran's Q test and quantified with I[2] statistic. Certainty of evidence rated using GRADE.
RESULTS: Twenty studies involving 7,202 participants were included. LPMP prevalence varied substantially across studies and settings. The pooled prevalence of overall LPMP was 46.9% (95% CI: 42.7-51.1; I[2] = 92.4%). Non-pharmacological practice was 42.8% (95% CI: 36.6-49.1), whereas pharmacological practice was 21.1% (95% CI: 12.5-29.7), decreasing to 15.2% after adjustment for publication bias. Pharmacological practice was modestly higher during COVID-19 (23.7% vs. 18.0%). Factors positively associated with LPMP included provider knowledge, attitudes, training, drug/protocol availability, supportive environments, higher education, longer experience, positive perceptions, being a midwife, and female sex. Certainty of evidence ranged from low to moderate.
CONCLUSION: LPMP prevalence varied considerably across studies and settings. While the pooled estimate suggests that fewer than half of Ethiopian OCPs practiced LPMP, substantial unexplained heterogeneity warrants cautious interpretation. Non-pharmacological methods were more commonly used than pharmacological approaches, highlighting opportunities to strengthen provider training, institutional support, and resource availability.},
}
RevDate: 2026-08-13
CmpDate: 2026-07-14
Reimagining tuberculosis elimination in India: diagnostics, drug resistance, and digital health strategies.
Frontiers in epidemiology, 6:1868261.
Tuberculosis (TB) remains a major global public health challenge and one of the leading infectious causes of mortality worldwide, with India contributing approximately 26% of the global TB burden. Despite substantial progress under the National Tuberculosis Elimination Programme (NTEP), India's efforts to achieve the ambitious 2025 TB elimination target continue to face major challenges due to the COVID-19 pandemic, multidrug-resistant tuberculosis (MDR-TB), healthcare disparities, and limitations in surveillance and reporting systems. This review provides a comprehensive overview of the epidemiology of TB in India and critically evaluates the impact of COVID-19, drug resistance, healthcare accessibility, and emerging diagnostic technologies on TB control efforts. A structured literature search was conducted using PubMed, Scopus, and Google Scholar, along with reports from the World Health Organization and the Government of India. The reviewed evidence indicates that the COVID-19 pandemic significantly disrupted TB diagnosis, treatment, surveillance, and healthcare accessibility, leading to declines in case notification and the possible accumulation of undiagnosed TB cases. In addition, the increasing burden of MDR/RR-TB, fragmented private healthcare systems, underreporting, and unequal access to diagnostics and treatment continue to hinder progress toward TB elimination. Although advancements including molecular diagnostics, digital surveillance platforms such as Nikshay, AI-assisted screening, and patient-support programmes have strengthened TB control strategies, important challenges related to implementation, infrastructure, scalability, and antimicrobial stewardship remain unresolved. This review highlights the need for integrated and patient-centred TB control strategies that combine rapid diagnostics, strengthened surveillance, public-private healthcare integration, health systems strengthening, and interventions addressing broader socioeconomic determinants such as poverty, malnutrition, and healthcare inequity. Coordinated multisectoral approaches will be essential for accelerating TB elimination efforts in India in the post-COVID era.
Additional Links: PMID-42445255
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@article {pmid42445255,
year = {2026},
author = {Jha, S and Chaliha, LB and Pandey, K and Patel, R},
title = {Reimagining tuberculosis elimination in India: diagnostics, drug resistance, and digital health strategies.},
journal = {Frontiers in epidemiology},
volume = {6},
number = {},
pages = {1868261},
pmid = {42445255},
issn = {2674-1199},
abstract = {Tuberculosis (TB) remains a major global public health challenge and one of the leading infectious causes of mortality worldwide, with India contributing approximately 26% of the global TB burden. Despite substantial progress under the National Tuberculosis Elimination Programme (NTEP), India's efforts to achieve the ambitious 2025 TB elimination target continue to face major challenges due to the COVID-19 pandemic, multidrug-resistant tuberculosis (MDR-TB), healthcare disparities, and limitations in surveillance and reporting systems. This review provides a comprehensive overview of the epidemiology of TB in India and critically evaluates the impact of COVID-19, drug resistance, healthcare accessibility, and emerging diagnostic technologies on TB control efforts. A structured literature search was conducted using PubMed, Scopus, and Google Scholar, along with reports from the World Health Organization and the Government of India. The reviewed evidence indicates that the COVID-19 pandemic significantly disrupted TB diagnosis, treatment, surveillance, and healthcare accessibility, leading to declines in case notification and the possible accumulation of undiagnosed TB cases. In addition, the increasing burden of MDR/RR-TB, fragmented private healthcare systems, underreporting, and unequal access to diagnostics and treatment continue to hinder progress toward TB elimination. Although advancements including molecular diagnostics, digital surveillance platforms such as Nikshay, AI-assisted screening, and patient-support programmes have strengthened TB control strategies, important challenges related to implementation, infrastructure, scalability, and antimicrobial stewardship remain unresolved. This review highlights the need for integrated and patient-centred TB control strategies that combine rapid diagnostics, strengthened surveillance, public-private healthcare integration, health systems strengthening, and interventions addressing broader socioeconomic determinants such as poverty, malnutrition, and healthcare inequity. Coordinated multisectoral approaches will be essential for accelerating TB elimination efforts in India in the post-COVID era.},
}
RevDate: 2026-08-06
CmpDate: 2026-07-14
The effect of high-dose of vitamin C on mortality among aged patients with severe COVID-19: A systematic review and meta-analysis.
Clinical and investigative medicine. Medecine clinique et experimentale, 49(2):31-42.
BACKGROUND: Critically ill patients are frequently deficient in vitamin C. Given the significant mortality rates in the elderly population associated with COVID-19, we aimed to systematically review the literature and evaluate whether high-dose vitamin C can reduce COVID-19 mortality in this population.
METHODS: Multiple data sources (PubMed, Web of Science, ScienceDirect, and medRxiv) were searched using the keywords "COVID-19" AND "vitamin C" up to November 2024. Randomized controlled trials (RCTs) involving COVID-19 patients with relevant data were collected. We used a random or fixed effects meta-analysis to calculate the pooling effect.
RESULTS: Eight RCTs comprising 2,104 patients were ultimately included in the meta-analysis. The pooling effect (odds ratio [OR] 0.97[95% CI 0.80-1.18, P = 0.76) suggested no significant difference in mortality rates between patients treated with high-dose vitamin C and those who were not.
CONCLUSIONS: Vitamin C supplementation might reduce the risk of COVID-19 mortality in critically ill patients; however, this effect varied by study. Additional research is necessary to arrive at a definitive conclusion on this subject.
Additional Links: PMID-42446912
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@article {pmid42446912,
year = {2026},
author = {Li, N and Yan, Y and Li, Y and Ni, J and Gao, J and Piao, X and Hou, X},
title = {The effect of high-dose of vitamin C on mortality among aged patients with severe COVID-19: A systematic review and meta-analysis.},
journal = {Clinical and investigative medicine. Medecine clinique et experimentale},
volume = {49},
number = {2},
pages = {31-42},
doi = {10.3138/CIM-2024-0302},
pmid = {42446912},
issn = {1488-2353},
mesh = {Humans ; *Ascorbic Acid/administration & dosage/therapeutic use ; *COVID-19/mortality ; Aged ; Critical Illness/mortality ; SARS-CoV-2 ; *COVID-19 Drug Treatment ; Randomized Controlled Trials as Topic ; },
abstract = {BACKGROUND: Critically ill patients are frequently deficient in vitamin C. Given the significant mortality rates in the elderly population associated with COVID-19, we aimed to systematically review the literature and evaluate whether high-dose vitamin C can reduce COVID-19 mortality in this population.
METHODS: Multiple data sources (PubMed, Web of Science, ScienceDirect, and medRxiv) were searched using the keywords "COVID-19" AND "vitamin C" up to November 2024. Randomized controlled trials (RCTs) involving COVID-19 patients with relevant data were collected. We used a random or fixed effects meta-analysis to calculate the pooling effect.
RESULTS: Eight RCTs comprising 2,104 patients were ultimately included in the meta-analysis. The pooling effect (odds ratio [OR] 0.97[95% CI 0.80-1.18, P = 0.76) suggested no significant difference in mortality rates between patients treated with high-dose vitamin C and those who were not.
CONCLUSIONS: Vitamin C supplementation might reduce the risk of COVID-19 mortality in critically ill patients; however, this effect varied by study. Additional research is necessary to arrive at a definitive conclusion on this subject.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Ascorbic Acid/administration & dosage/therapeutic use
*COVID-19/mortality
Aged
Critical Illness/mortality
SARS-CoV-2
*COVID-19 Drug Treatment
Randomized Controlled Trials as Topic
RevDate: 2026-10-09
CmpDate: 2026-09-23
A systematic review of Nipah virus disease epidemiological parameters, outbreaks, and mathematical models.
The Lancet. Infectious diseases, 26(10):e409-e422.
Our systematic review, based on PRISMA guidelines (PROSPERO CRD42023393345), characterised the epidemiology, outbreaks, and mathematical models of Nipah virus, an important public health threat in south and southeast Asia. We searched PubMed and Web of Science from database inception to March 14, 2025, and extracted 243 parameters, 89 risk factors, 39 models, and 23 distinct outbreaks from 119 papers. IgG seroprevalence estimates in the general population ranged from 0% to 12·5%. Nipah virus causes severe disease, with pooled case-fatality ratio estimates ranging widely from 9·1% (95% CI 0·2-41·3) in Singapore to 81·9% (95% CI 71·9-88·9) in Bangladesh. The infection timeline and clinical course of Nipah virus remain poorly characterised; we estimated a median incubation period of 8·77 days (165, 95% CI 7·53-10·02) from eight estimates in seven articles with sufficient information. Transmission parameter estimates were scarce, and all but one of five central estimates of the basic reproduction number were less than one. Nipah virus mathematical models (39) were rarely fitted to data (eight). All extracted information is accessible via our R package, epireview.
Additional Links: PMID-42447883
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@article {pmid42447883,
year = {2026},
author = {Naidoo, T and Morgenstern, C and Doohan, P and Earl, R and Rawson, T and Sheppard, RJ and Hicks, JT and Radhakrishnan, S and Johnson, R and Hartner, AM and Cattarino, L and McCain, K and Vicco, A and Imai-Eaton, N and Elsland, SV and Cori, A and McCabe, R and Bhatia, S and , },
title = {A systematic review of Nipah virus disease epidemiological parameters, outbreaks, and mathematical models.},
journal = {The Lancet. Infectious diseases},
volume = {26},
number = {10},
pages = {e409-e422},
doi = {10.1016/S1473-3099(26)00239-2},
pmid = {42447883},
issn = {1474-4457},
mesh = {Humans ; *Henipavirus Infections/epidemiology/transmission/virology ; *Disease Outbreaks ; *Nipah Virus ; Models, Theoretical ; Seroepidemiologic Studies ; Risk Factors ; },
abstract = {Our systematic review, based on PRISMA guidelines (PROSPERO CRD42023393345), characterised the epidemiology, outbreaks, and mathematical models of Nipah virus, an important public health threat in south and southeast Asia. We searched PubMed and Web of Science from database inception to March 14, 2025, and extracted 243 parameters, 89 risk factors, 39 models, and 23 distinct outbreaks from 119 papers. IgG seroprevalence estimates in the general population ranged from 0% to 12·5%. Nipah virus causes severe disease, with pooled case-fatality ratio estimates ranging widely from 9·1% (95% CI 0·2-41·3) in Singapore to 81·9% (95% CI 71·9-88·9) in Bangladesh. The infection timeline and clinical course of Nipah virus remain poorly characterised; we estimated a median incubation period of 8·77 days (165, 95% CI 7·53-10·02) from eight estimates in seven articles with sufficient information. Transmission parameter estimates were scarce, and all but one of five central estimates of the basic reproduction number were less than one. Nipah virus mathematical models (39) were rarely fitted to data (eight). All extracted information is accessible via our R package, epireview.},
}
MeSH Terms:
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hide MeSH Terms
Humans
*Henipavirus Infections/epidemiology/transmission/virology
*Disease Outbreaks
*Nipah Virus
Models, Theoretical
Seroepidemiologic Studies
Risk Factors
RevDate: 2026-08-25
CmpDate: 2026-08-25
Innate immune surveillance and nucleic acid sensing: Gatekeepers of inflammatory cell death in respiratory infectious diseases.
Pharmacological research, 231:108340.
Respiratory infections caused by viral pathogens, including influenza A virus, respiratory syncytial virus, and SARS-CoV-2, as well as bacterial pathogens, remain major contributors to global morbidity and mortality. The outcomes of these infections are largely determined by how the host innate immune system detects pathogen-derived nucleic acids and regulates subsequent inflammatory responses. Pattern recognition receptors (PRRs) located in endosomal and cytosolic compartments, including toll-like receptors, RIG-I-like receptors, absent in melanoma 2, and Z-DNA-binding protein 1, as well as the cyclic GMP-AMP synthase-stimulator of interferon genes pathway, recognize viral and bacterial nucleic acids and initiate signaling cascades that promote cytokine production and antimicrobial defense. However, dysregulated PRR activation can trigger inflammatory programmed cell death, including apoptosis, pyroptosis, necroptosis, and PANoptosis. This review summarizes recent advances in understanding how nucleic acid sensing orchestrates inflammatory cell death during respiratory infections, with particular emphasis on pathogen- and cell type-specific mechanisms that shape disease outcomes. We further highlight the dual nature of these pathways, which are essential for pathogen clearance but can drive immunopathology when excessively activated. Defining how nucleic acid-sensing pathways shape inflammatory cell death in respiratory infections may guide host-directed therapies that enhance pathogen clearance while preserving lung function. Overall, the field remains constrained by the predominance of virus-focused and murine preclinical studies, whereas bacterial nucleic acid sensing during respiratory infections remains poorly defined. Future studies should integrate major bacterial infection models with human-relevant respiratory epithelial systems to better translate PRR-mediated immune mechanisms into host-directed therapeutic strategies.
Additional Links: PMID-42448011
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@article {pmid42448011,
year = {2026},
author = {Thapa, N and Jin, Y and Han, JH},
title = {Innate immune surveillance and nucleic acid sensing: Gatekeepers of inflammatory cell death in respiratory infectious diseases.},
journal = {Pharmacological research},
volume = {231},
number = {},
pages = {108340},
doi = {10.1016/j.phrs.2026.108340},
pmid = {42448011},
issn = {1096-1186},
mesh = {Humans ; Animals ; Innate Immunity Recognition ; *Nucleic Acids/immunology ; *Immunity, Innate ; *Respiratory Tract Infections/immunology/virology/pathology ; Cell Death/immunology ; Inflammation/immunology ; Receptors, Pattern Recognition/immunology ; *Immunologic Surveillance ; Signal Transduction ; },
abstract = {Respiratory infections caused by viral pathogens, including influenza A virus, respiratory syncytial virus, and SARS-CoV-2, as well as bacterial pathogens, remain major contributors to global morbidity and mortality. The outcomes of these infections are largely determined by how the host innate immune system detects pathogen-derived nucleic acids and regulates subsequent inflammatory responses. Pattern recognition receptors (PRRs) located in endosomal and cytosolic compartments, including toll-like receptors, RIG-I-like receptors, absent in melanoma 2, and Z-DNA-binding protein 1, as well as the cyclic GMP-AMP synthase-stimulator of interferon genes pathway, recognize viral and bacterial nucleic acids and initiate signaling cascades that promote cytokine production and antimicrobial defense. However, dysregulated PRR activation can trigger inflammatory programmed cell death, including apoptosis, pyroptosis, necroptosis, and PANoptosis. This review summarizes recent advances in understanding how nucleic acid sensing orchestrates inflammatory cell death during respiratory infections, with particular emphasis on pathogen- and cell type-specific mechanisms that shape disease outcomes. We further highlight the dual nature of these pathways, which are essential for pathogen clearance but can drive immunopathology when excessively activated. Defining how nucleic acid-sensing pathways shape inflammatory cell death in respiratory infections may guide host-directed therapies that enhance pathogen clearance while preserving lung function. Overall, the field remains constrained by the predominance of virus-focused and murine preclinical studies, whereas bacterial nucleic acid sensing during respiratory infections remains poorly defined. Future studies should integrate major bacterial infection models with human-relevant respiratory epithelial systems to better translate PRR-mediated immune mechanisms into host-directed therapeutic strategies.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
Animals
Innate Immunity Recognition
*Nucleic Acids/immunology
*Immunity, Innate
*Respiratory Tract Infections/immunology/virology/pathology
Cell Death/immunology
Inflammation/immunology
Receptors, Pattern Recognition/immunology
*Immunologic Surveillance
Signal Transduction
RevDate: 2026-09-29
CmpDate: 2026-09-29
Oral disease-associated proteins implicated in neuronal disorders: Emerging roles in diagnosis and treatment.
International journal of biological macromolecules, 377:153500.
Oral health plays a crucial role in maintaining cognitive functions, reflecting a complex interplay between the oral cavity and brain health. Emerging evidence indicates that various oral disease-associated protein molecules are implicated in the pathogenesis of diverse neuronal disorders, including neurodegenerative diseases. This review comprehensively summarizes oral disease-related protein molecules involved in several neuronal disorders, including Alzheimer's disease, Parkinson's disease, neurodegeneration, neuroinflammation, dementia, cognitive decline, and brain fog in two different contexts. Firstly, it describes protein molecules under the classical oral disease condition [Aβ42, total-Tau, phosphorylated-Tau, α-synuclein, DJ-1, lactoferrin, MMP-2/8/9, IL-6, IL-1β, TNF-α, CRP, S100A8, S100A9, S100B, RAGE, LCN2, cathepsin B/L, HSP70/90, NfL, CXCL2/8, C3/4, defensins (α and β), and lysozyme]. Secondly, it explains in COVID-19 context [ACE2, TMPRSS2, furin-1, NRP1, spike, T1R, and T2R]. The review explores oral proteins implicated in neuronal disorders, highlighting their roles in activating inflammatory pathways, contributing to memory impairment, and mediating taste dysfunction in the context of COVID-19. Furthermore, the review delineates the mechanisms underlying the oral-brain axis, highlighting the roles of systemic inflammation, microbial interactions, and blood-brain barrier dysfunction in mediating these effects. It also highlights the innovative diagnostic potential of oral disease-associated proteins as non-invasive biomarkers for early detection and monitoring of neuronal disorders in both classical and COVID-19 contexts. In addition, the emerging therapeutic significance of these proteins is discussed, emphasizing their potential as molecular targets for the prevention and treatment of neurological diseases. Understanding oral disease-associated protein molecules provides novel insights into early diagnosis and progression of neuronal disorders.
Additional Links: PMID-42448200
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@article {pmid42448200,
year = {2026},
author = {Murugan, AK},
title = {Oral disease-associated proteins implicated in neuronal disorders: Emerging roles in diagnosis and treatment.},
journal = {International journal of biological macromolecules},
volume = {377},
number = {},
pages = {153500},
doi = {10.1016/j.ijbiomac.2026.153500},
pmid = {42448200},
issn = {1879-0003},
mesh = {Humans ; *Neurodegenerative Diseases/diagnosis/metabolism/therapy ; COVID-19/metabolism ; SARS-CoV-2 ; *Mouth Diseases/metabolism/therapy/diagnosis ; Animals ; },
abstract = {Oral health plays a crucial role in maintaining cognitive functions, reflecting a complex interplay between the oral cavity and brain health. Emerging evidence indicates that various oral disease-associated protein molecules are implicated in the pathogenesis of diverse neuronal disorders, including neurodegenerative diseases. This review comprehensively summarizes oral disease-related protein molecules involved in several neuronal disorders, including Alzheimer's disease, Parkinson's disease, neurodegeneration, neuroinflammation, dementia, cognitive decline, and brain fog in two different contexts. Firstly, it describes protein molecules under the classical oral disease condition [Aβ42, total-Tau, phosphorylated-Tau, α-synuclein, DJ-1, lactoferrin, MMP-2/8/9, IL-6, IL-1β, TNF-α, CRP, S100A8, S100A9, S100B, RAGE, LCN2, cathepsin B/L, HSP70/90, NfL, CXCL2/8, C3/4, defensins (α and β), and lysozyme]. Secondly, it explains in COVID-19 context [ACE2, TMPRSS2, furin-1, NRP1, spike, T1R, and T2R]. The review explores oral proteins implicated in neuronal disorders, highlighting their roles in activating inflammatory pathways, contributing to memory impairment, and mediating taste dysfunction in the context of COVID-19. Furthermore, the review delineates the mechanisms underlying the oral-brain axis, highlighting the roles of systemic inflammation, microbial interactions, and blood-brain barrier dysfunction in mediating these effects. It also highlights the innovative diagnostic potential of oral disease-associated proteins as non-invasive biomarkers for early detection and monitoring of neuronal disorders in both classical and COVID-19 contexts. In addition, the emerging therapeutic significance of these proteins is discussed, emphasizing their potential as molecular targets for the prevention and treatment of neurological diseases. Understanding oral disease-associated protein molecules provides novel insights into early diagnosis and progression of neuronal disorders.},
}
MeSH Terms:
show MeSH Terms
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Humans
*Neurodegenerative Diseases/diagnosis/metabolism/therapy
COVID-19/metabolism
SARS-CoV-2
*Mouth Diseases/metabolism/therapy/diagnosis
Animals
RevDate: 2026-07-14
CmpDate: 2026-07-15
Energetic landscapes and fuzzy complexes: Computational targeting of viral intrinsically disordered proteins.
Advances in protein chemistry and structural biology, 153:351-407.
The increased recognition of intrinsically disordered proteins (IDPs) as critical mediators in viral infections has shifted attention toward fuzzy drug targets, challenging the conventional structure-based paradigms of drug discovery due to their inherent conformational flexibility. The binding of viral IDPs and IDRs to host factors occurs in dynamic, multivalent, and context-dependent interactions and constitute flexible complexes, which form the basis of pathogenicity and immune evasion. In this review, the disordered proteins of viruses are considered with a combination of molecular, computational, and translational insights to assess the next-generation antiviral targets. In this, we have discuss about the energetic landscapes that control the disorder, functional disorder order transitions and the fuzzy interfaces as centers of the networks of virus-host interactions. Special focus is kept on the new lines of computational and AI-directed technologies such as ensemble-based docking, machine-learning computational models of IDP ligand recognition, and multi-omics-driven target prioritization. The experimental approaches that are modified to characterize disordered systems, including NMR spectroscopy and hybrid structural biology, are also reviewed. The translational applicability of the targeting of viral fuzziness is highlighted by case studies of HIV-1, influenza, SARS-CoV-2, and emerging viral pathogens. We also provide directions about the future involving adaptive pharmacophores, customized antiviral approaches, and AI-driven ensemble targeting making disordered viral proteins a paradigm shift in antiviral drug discovery.
Additional Links: PMID-42448413
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@article {pmid42448413,
year = {2026},
author = {Viknesh, K and Vijayalakshmi, P and Alex, AM and Muthumani, LN and Muthupandian, S and Desai, D and Ramanathan, S and Likson, A and Selvaraj, C},
title = {Energetic landscapes and fuzzy complexes: Computational targeting of viral intrinsically disordered proteins.},
journal = {Advances in protein chemistry and structural biology},
volume = {153},
number = {},
pages = {351-407},
doi = {10.1016/bs.apcsb.2026.04.009},
pmid = {42448413},
issn = {1876-1631},
mesh = {Humans ; *Intrinsically Disordered Proteins/chemistry/metabolism/antagonists & inhibitors ; *Viral Proteins/chemistry/metabolism/antagonists & inhibitors ; *Antiviral Agents/chemistry/pharmacology ; SARS-CoV-2 ; Machine Learning ; },
abstract = {The increased recognition of intrinsically disordered proteins (IDPs) as critical mediators in viral infections has shifted attention toward fuzzy drug targets, challenging the conventional structure-based paradigms of drug discovery due to their inherent conformational flexibility. The binding of viral IDPs and IDRs to host factors occurs in dynamic, multivalent, and context-dependent interactions and constitute flexible complexes, which form the basis of pathogenicity and immune evasion. In this review, the disordered proteins of viruses are considered with a combination of molecular, computational, and translational insights to assess the next-generation antiviral targets. In this, we have discuss about the energetic landscapes that control the disorder, functional disorder order transitions and the fuzzy interfaces as centers of the networks of virus-host interactions. Special focus is kept on the new lines of computational and AI-directed technologies such as ensemble-based docking, machine-learning computational models of IDP ligand recognition, and multi-omics-driven target prioritization. The experimental approaches that are modified to characterize disordered systems, including NMR spectroscopy and hybrid structural biology, are also reviewed. The translational applicability of the targeting of viral fuzziness is highlighted by case studies of HIV-1, influenza, SARS-CoV-2, and emerging viral pathogens. We also provide directions about the future involving adaptive pharmacophores, customized antiviral approaches, and AI-driven ensemble targeting making disordered viral proteins a paradigm shift in antiviral drug discovery.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Intrinsically Disordered Proteins/chemistry/metabolism/antagonists & inhibitors
*Viral Proteins/chemistry/metabolism/antagonists & inhibitors
*Antiviral Agents/chemistry/pharmacology
SARS-CoV-2
Machine Learning
RevDate: 2026-08-13
CmpDate: 2026-07-15
Emerging Multimodal Point-of-Care Diagnostic Strategies for Rapid Detection and Management of Respiratory Viruses: A State-of-the-Art Review.
Diagnostics (Basel, Switzerland), 16(13):.
The co-circulation of respiratory viruses, including SARS-CoV-2, influenza A/B, and respiratory syncytial virus (RSV), represents a significant global health challenge that requires rapid, accurate, and differential diagnosis to support infection control and appropriate clinical decision-making. This narrative review summarizes emerging multimodal point-of-care testing (POCT) strategies for the detection and management of these respiratory viruses. Relevant studies were identified through literature searches of major scientific databases, including PubMed, Scopus, and Web of Science, focusing on recent advances in molecular diagnostics, biosensors, microfluidics, and digital health technologies. To improve clinical interpretation and comparative assessment, current POCT platforms were organized into four operational tiers based on infrastructure dependence, degree of portability, and level of decentralization of testing. Tier 1 (Professional Clinical Systems) includes fully integrated automated molecular diagnostic platforms designed for use in hospital and emergency care settings. Tier 2 (Field-Deployable Systems) comprises portable molecular and isothermal amplification technologies designed for use in decentralized or resource-limited environments. Tier 3 (Hardware-Lite Assays) includes simplified diagnostic approaches that minimize instrument requirements and are suitable for near-patient or low-infrastructure settings. Tier 4 (Consumer-Digital Diagnostics) encompasses emerging smartphone- and IoT-integrated diagnostic platforms that support user-driven testing and digital health connectivity. This tier-based framework reflects a proposed stratification of POCT technologies along a decentralization continuum and aims to facilitate comparison and selection of diagnostic strategies across diverse healthcare settings.
Additional Links: PMID-42449828
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@article {pmid42449828,
year = {2026},
author = {Hetta, HF and Haseeb, A and Bukhari, SQ and Alatawi, Z and Mahrous, AJ and Elrggal, ME and Masri, MA and Kotb, AA},
title = {Emerging Multimodal Point-of-Care Diagnostic Strategies for Rapid Detection and Management of Respiratory Viruses: A State-of-the-Art Review.},
journal = {Diagnostics (Basel, Switzerland)},
volume = {16},
number = {13},
pages = {},
pmid = {42449828},
issn = {2075-4418},
support = {26UQU4310470GSSR02//Umm al-Qura University/ ; 26UQU4310470GSSR03//Umm al-Qura University/ ; },
abstract = {The co-circulation of respiratory viruses, including SARS-CoV-2, influenza A/B, and respiratory syncytial virus (RSV), represents a significant global health challenge that requires rapid, accurate, and differential diagnosis to support infection control and appropriate clinical decision-making. This narrative review summarizes emerging multimodal point-of-care testing (POCT) strategies for the detection and management of these respiratory viruses. Relevant studies were identified through literature searches of major scientific databases, including PubMed, Scopus, and Web of Science, focusing on recent advances in molecular diagnostics, biosensors, microfluidics, and digital health technologies. To improve clinical interpretation and comparative assessment, current POCT platforms were organized into four operational tiers based on infrastructure dependence, degree of portability, and level of decentralization of testing. Tier 1 (Professional Clinical Systems) includes fully integrated automated molecular diagnostic platforms designed for use in hospital and emergency care settings. Tier 2 (Field-Deployable Systems) comprises portable molecular and isothermal amplification technologies designed for use in decentralized or resource-limited environments. Tier 3 (Hardware-Lite Assays) includes simplified diagnostic approaches that minimize instrument requirements and are suitable for near-patient or low-infrastructure settings. Tier 4 (Consumer-Digital Diagnostics) encompasses emerging smartphone- and IoT-integrated diagnostic platforms that support user-driven testing and digital health connectivity. This tier-based framework reflects a proposed stratification of POCT technologies along a decentralization continuum and aims to facilitate comparison and selection of diagnostic strategies across diverse healthcare settings.},
}
RevDate: 2026-08-13
CmpDate: 2026-07-15
Immune Mechanisms and Translational Study Design in Viral Vaccine Development.
International journal of molecular sciences, 27(13):.
Viral vaccine development requires both mechanistic understanding of protective immunity and translational study designs that connect preclinical data with human outcomes. Animal models remain important for early assessment of safety, immunogenicity and protective efficacy, but their predictive value depends on the question being asked, the pathophysiology of infection, the immune mechanisms expected to mediate protection, and the biomarkers chosen to bridge animal and human data. This review focuses on viral vaccines and examines innate and adaptive mechanisms of vaccine-induced protection, including B cell and antibody responses, Fc-mediated functions, Fc glycosylation, T cell memory and CD8+ cytotoxic responses. We discuss common reasons for clinical failure and show how preclinical endpoints can be classified as human-counterpart, surrogate or comparative/mechanistic readouts. Influenza and COVID-19 examples illustrate how different models can be combined across discovery, challenge, transmission and late-stage bridging studies. Emerging tools such as systems serology, omics, AI/ML and new approach methods can improve candidate prioritization, but their value depends on assay standardization, biological validation and cautious interpretation. A mechanism-driven model cascade, paired with human-relevant immunological readouts, can improve preclinical interpretation and reduce the risk of advancing candidates that are unlikely to succeed in clinical trials.
Additional Links: PMID-42450061
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@article {pmid42450061,
year = {2026},
author = {Lim, S and Martina, B},
title = {Immune Mechanisms and Translational Study Design in Viral Vaccine Development.},
journal = {International journal of molecular sciences},
volume = {27},
number = {13},
pages = {},
pmid = {42450061},
issn = {1422-0067},
mesh = {Humans ; Animals ; *Translational Research, Biomedical ; *Viral Vaccines/immunology ; *Vaccine Development/methods ; COVID-19/prevention & control/immunology ; SARS-CoV-2/immunology ; Adaptive Immunity ; Immunity, Innate ; COVID-19 Vaccines/immunology ; },
abstract = {Viral vaccine development requires both mechanistic understanding of protective immunity and translational study designs that connect preclinical data with human outcomes. Animal models remain important for early assessment of safety, immunogenicity and protective efficacy, but their predictive value depends on the question being asked, the pathophysiology of infection, the immune mechanisms expected to mediate protection, and the biomarkers chosen to bridge animal and human data. This review focuses on viral vaccines and examines innate and adaptive mechanisms of vaccine-induced protection, including B cell and antibody responses, Fc-mediated functions, Fc glycosylation, T cell memory and CD8+ cytotoxic responses. We discuss common reasons for clinical failure and show how preclinical endpoints can be classified as human-counterpart, surrogate or comparative/mechanistic readouts. Influenza and COVID-19 examples illustrate how different models can be combined across discovery, challenge, transmission and late-stage bridging studies. Emerging tools such as systems serology, omics, AI/ML and new approach methods can improve candidate prioritization, but their value depends on assay standardization, biological validation and cautious interpretation. A mechanism-driven model cascade, paired with human-relevant immunological readouts, can improve preclinical interpretation and reduce the risk of advancing candidates that are unlikely to succeed in clinical trials.},
}
MeSH Terms:
show MeSH Terms
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Humans
Animals
*Translational Research, Biomedical
*Viral Vaccines/immunology
*Vaccine Development/methods
COVID-19/prevention & control/immunology
SARS-CoV-2/immunology
Adaptive Immunity
Immunity, Innate
COVID-19 Vaccines/immunology
RevDate: 2026-08-13
CmpDate: 2026-07-15
Therapeutic Potential of Glucagon-like Peptide-1 Receptor Agonists in Respiratory Disorders.
International journal of molecular sciences, 27(13):.
Glucagon-like peptide-1 (GLP-1) is an incretin hormone secreted in response to food intake that acts biologically by binding to GLP-1 receptors. The primary function of GLP-1 is to stimulate insulin secretion and inhibit glucagon secretion, which helps limit after-meal spikes in blood glucose. GLP-1 reduces intestinal contractility, slows down gastrointestinal motility and emptying, and also acts directly on the hypothalamus, thereby regulating appetite and food intake. Due to its metabolic effects, GLP-1 forms the basis of medications currently used to treat type 2 diabetes (T2DM) and obesity. However, it has also been observed that the use of GLP-1 agonists in the treatment of obesity or diabetes has a beneficial effect on comorbid respiratory conditions. This narrative review analyzes the scientific literature and describes the most recent information on the impact of GLP-1 receptor agonist (GLP-1 RA) therapies on the most common respiratory disorders-both the beneficial and undesirable effects. We discuss evidence that acute lung injury, COVID-19, pulmonary fibrosis, asthma, chronic obstructive pulmonary disease (COPD), and obstructive sleep apnea can benefit from therapies with various GLP-1 RAs. They can complement existing lung-targeted treatments, but as research progresses, they are likely to play an ever more important role in the treatment of respiratory diseases.
Additional Links: PMID-42450077
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@article {pmid42450077,
year = {2026},
author = {Russjan, E and Zając, D and Kaczyńska, K},
title = {Therapeutic Potential of Glucagon-like Peptide-1 Receptor Agonists in Respiratory Disorders.},
journal = {International journal of molecular sciences},
volume = {27},
number = {13},
pages = {},
pmid = {42450077},
issn = {1422-0067},
mesh = {Humans ; *Glucagon-Like Peptide-1 Receptor Agonists ; Pulmonary Disease, Chronic Obstructive/drug therapy ; Glucagon-Like Peptide-1 Receptor/metabolism ; Glucagon-Like Peptide 1/metabolism ; Animals ; COVID-19/metabolism ; Asthma/drug therapy ; Pulmonary Fibrosis/drug therapy ; Sleep Apnea, Obstructive/drug therapy ; SARS-CoV-2 ; },
abstract = {Glucagon-like peptide-1 (GLP-1) is an incretin hormone secreted in response to food intake that acts biologically by binding to GLP-1 receptors. The primary function of GLP-1 is to stimulate insulin secretion and inhibit glucagon secretion, which helps limit after-meal spikes in blood glucose. GLP-1 reduces intestinal contractility, slows down gastrointestinal motility and emptying, and also acts directly on the hypothalamus, thereby regulating appetite and food intake. Due to its metabolic effects, GLP-1 forms the basis of medications currently used to treat type 2 diabetes (T2DM) and obesity. However, it has also been observed that the use of GLP-1 agonists in the treatment of obesity or diabetes has a beneficial effect on comorbid respiratory conditions. This narrative review analyzes the scientific literature and describes the most recent information on the impact of GLP-1 receptor agonist (GLP-1 RA) therapies on the most common respiratory disorders-both the beneficial and undesirable effects. We discuss evidence that acute lung injury, COVID-19, pulmonary fibrosis, asthma, chronic obstructive pulmonary disease (COPD), and obstructive sleep apnea can benefit from therapies with various GLP-1 RAs. They can complement existing lung-targeted treatments, but as research progresses, they are likely to play an ever more important role in the treatment of respiratory diseases.},
}
MeSH Terms:
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Humans
*Glucagon-Like Peptide-1 Receptor Agonists
Pulmonary Disease, Chronic Obstructive/drug therapy
Glucagon-Like Peptide-1 Receptor/metabolism
Glucagon-Like Peptide 1/metabolism
Animals
COVID-19/metabolism
Asthma/drug therapy
Pulmonary Fibrosis/drug therapy
Sleep Apnea, Obstructive/drug therapy
SARS-CoV-2
RevDate: 2026-08-13
CmpDate: 2026-07-15
Temporal Dynamics of Innate Immune Activation and Viral Interference During Sequential Co-Infection with Influenza A Virus and SARS-CoV-2: Molecular Mechanisms, Clinical Evidence, and Therapeutic Implications.
International journal of molecular sciences, 27(13):.
The concurrent circulation of influenza A virus (IAV) and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has unveiled complex host-pathogen interactions governed by temporal dynamics of innate immune activation. This narrative review synthesizes evidence from human air-liquid interface (ALI) epithelial models, animal studies (hamster, ferret), clinical cohorts, and randomized controlled trials (2015-2026) to delineate the molecular mechanisms underlying viral interference between these two major respiratory pathogens. Prior IAV infection induces a robust type I/III interferon (IFN) response and broad interferon-stimulated gene (ISG) upregulation that restricts subsequent SARS-CoV-2 replication within a critical 24-72 h temporal window. Conversely, SARS-CoV-2 employs a multi-layered immune evasion strategy that blunts IFN induction, providing minimal heterologous protection. Simultaneous co-infection tends to exacerbate disease severity. Host genetic determinants, including OAS1 and TLR7 variants, modulate interference capacity. Therapeutically, early pegylated IFN-λ shows clinical benefit, while experimental evidence from in vitro and animal models suggests oseltamivir may paradoxically reduce IAV-induced interference. These findings underscore the need for multi-pathogen diagnostics, temporally informed clinical decision-making, and IFN-based therapeutic strategies during co-circulation periods.
Additional Links: PMID-42450260
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Citation:
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@article {pmid42450260,
year = {2026},
author = {Angamarca-Iguago, J and Parise-Vasco, JM and Reytor-González, C and Cagua-Ordoñez, J and Simancas-Racines, D},
title = {Temporal Dynamics of Innate Immune Activation and Viral Interference During Sequential Co-Infection with Influenza A Virus and SARS-CoV-2: Molecular Mechanisms, Clinical Evidence, and Therapeutic Implications.},
journal = {International journal of molecular sciences},
volume = {27},
number = {13},
pages = {},
pmid = {42450260},
issn = {1422-0067},
mesh = {Humans ; *Immunity, Innate ; Animals ; *Influenza A virus/immunology ; *Influenza, Human/immunology/virology/drug therapy ; *SARS-CoV-2/immunology/physiology ; *COVID-19/immunology/virology ; *Coinfection/immunology/virology ; *Viral Interference ; Host-Pathogen Interactions/immunology ; Interferons ; Antiviral Agents/therapeutic use ; },
abstract = {The concurrent circulation of influenza A virus (IAV) and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has unveiled complex host-pathogen interactions governed by temporal dynamics of innate immune activation. This narrative review synthesizes evidence from human air-liquid interface (ALI) epithelial models, animal studies (hamster, ferret), clinical cohorts, and randomized controlled trials (2015-2026) to delineate the molecular mechanisms underlying viral interference between these two major respiratory pathogens. Prior IAV infection induces a robust type I/III interferon (IFN) response and broad interferon-stimulated gene (ISG) upregulation that restricts subsequent SARS-CoV-2 replication within a critical 24-72 h temporal window. Conversely, SARS-CoV-2 employs a multi-layered immune evasion strategy that blunts IFN induction, providing minimal heterologous protection. Simultaneous co-infection tends to exacerbate disease severity. Host genetic determinants, including OAS1 and TLR7 variants, modulate interference capacity. Therapeutically, early pegylated IFN-λ shows clinical benefit, while experimental evidence from in vitro and animal models suggests oseltamivir may paradoxically reduce IAV-induced interference. These findings underscore the need for multi-pathogen diagnostics, temporally informed clinical decision-making, and IFN-based therapeutic strategies during co-circulation periods.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Immunity, Innate
Animals
*Influenza A virus/immunology
*Influenza, Human/immunology/virology/drug therapy
*SARS-CoV-2/immunology/physiology
*COVID-19/immunology/virology
*Coinfection/immunology/virology
*Viral Interference
Host-Pathogen Interactions/immunology
Interferons
Antiviral Agents/therapeutic use
RevDate: 2026-08-25
CmpDate: 2026-07-15
Machine Learning and Deep Learning Frameworks for Human-Virus Protein-Protein Interaction Prediction: Emerging Architectures, Methods, Benchmarks, and Challenges.
International journal of molecular sciences, 27(13):.
The outbreak of coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has emerged as one of the most significant global health crises in recent history. Coronaviruses are a diverse group of RNA viruses classified into alpha, beta, gamma, and delta genera, with SARS-CoV-2 belonging to the beta-coronavirus family. The virus exhibits high transmissibility and causes a wide spectrum of clinical manifestations ranging from mild respiratory symptoms to severe complications such as acute respiratory distress syndrome, multi-organ failure, and death, particularly among elderly and immunocompromised individuals. Structurally, SARS-CoV-2 possesses a large single-stranded RNA genome encoding major structural proteins, including spike (S), envelope (E), membrane (M), and nucleocapsid (N) proteins, which play critical roles in host-cell recognition and viral infection. Understanding the molecular mechanisms of virus-host interactions, especially protein-protein interactions (PPIs), is essential for uncovering viral pathogenesis and identifying potential therapeutic targets. Traditional experimental techniques for PPI detection, such as yeast two-hybrid and affinity purification methods, are often expensive, labor-intensive, and prone to inaccuracies. Consequently, computational approaches based on machine learning (ML) and deep learning (DL) have gained significant attention for efficient and scalable PPI prediction. These methods use diverse biological information, including protein sequences, structural features, genomic data, Gene Ontology annotations, and interaction networks, to model complex biological relationships. This survey reviews computational approaches to PPI prediction, highlighting ML- and DL-based techniques, methodological advances, performance evaluation practices, and limitations that affect benchmark comparability. It also discusses biological databases and data sources commonly used in PPI studies and explicitly considers how models trained in coronavirus-centered settings may generalize to other viral families with different mechanisms of host interaction.
Additional Links: PMID-42450302
PubMed:
Citation:
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@article {pmid42450302,
year = {2026},
author = {Basu, S and Adhikary, D and Ghosh, K and Chattopadhyay, S and Deb, S and Mondal, R and Roy, J and Chowdhury, A and Benito-León, J},
title = {Machine Learning and Deep Learning Frameworks for Human-Virus Protein-Protein Interaction Prediction: Emerging Architectures, Methods, Benchmarks, and Challenges.},
journal = {International journal of molecular sciences},
volume = {27},
number = {13},
pages = {},
pmid = {42450302},
issn = {1422-0067},
support = {R01 NS039422/NS/NINDS NIH HHS/United States ; R01 NS094607/NS/NINDS NIH HHS/United States ; },
mesh = {Humans ; *Deep Learning ; *Machine Learning ; SARS-CoV-2 ; COVID-19/virology ; *Viral Proteins/metabolism ; Host-Pathogen Interactions ; *Protein Interaction Mapping/methods ; Protein Interaction Maps ; Prediction Algorithms ; Benchmarking ; },
abstract = {The outbreak of coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has emerged as one of the most significant global health crises in recent history. Coronaviruses are a diverse group of RNA viruses classified into alpha, beta, gamma, and delta genera, with SARS-CoV-2 belonging to the beta-coronavirus family. The virus exhibits high transmissibility and causes a wide spectrum of clinical manifestations ranging from mild respiratory symptoms to severe complications such as acute respiratory distress syndrome, multi-organ failure, and death, particularly among elderly and immunocompromised individuals. Structurally, SARS-CoV-2 possesses a large single-stranded RNA genome encoding major structural proteins, including spike (S), envelope (E), membrane (M), and nucleocapsid (N) proteins, which play critical roles in host-cell recognition and viral infection. Understanding the molecular mechanisms of virus-host interactions, especially protein-protein interactions (PPIs), is essential for uncovering viral pathogenesis and identifying potential therapeutic targets. Traditional experimental techniques for PPI detection, such as yeast two-hybrid and affinity purification methods, are often expensive, labor-intensive, and prone to inaccuracies. Consequently, computational approaches based on machine learning (ML) and deep learning (DL) have gained significant attention for efficient and scalable PPI prediction. These methods use diverse biological information, including protein sequences, structural features, genomic data, Gene Ontology annotations, and interaction networks, to model complex biological relationships. This survey reviews computational approaches to PPI prediction, highlighting ML- and DL-based techniques, methodological advances, performance evaluation practices, and limitations that affect benchmark comparability. It also discusses biological databases and data sources commonly used in PPI studies and explicitly considers how models trained in coronavirus-centered settings may generalize to other viral families with different mechanisms of host interaction.},
}
MeSH Terms:
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Humans
*Deep Learning
*Machine Learning
SARS-CoV-2
COVID-19/virology
*Viral Proteins/metabolism
Host-Pathogen Interactions
*Protein Interaction Mapping/methods
Protein Interaction Maps
Prediction Algorithms
Benchmarking
RevDate: 2026-08-13
CmpDate: 2026-07-15
The Impact of Recent Collective Trauma in Israel on Eating Disorders and Disordered Eating: An Overview and Clinical Perspective.
Healthcare (Basel, Switzerland), 14(13):.
Background: Periods of collective crises are associated with substantial deterioration in mental health. Whereas trauma-related psychopathology has received considerable clinical and policy attention during such periods, eating disorders (EDs) and disordered eating (DE) remain comparatively under-recognized. EDs and DE are well recognized in the Israeli context; however, accumulating evidence indicates a significant increase in their prevalence during periods of collective crisis. Objective: We sought to synthesize empirical findings and clinical observations in Israel about the impact of the COVID-19 pandemic and the October 2023 War on the emergence and exacerbation of DE and EDs, and to examine the implications for clinical practice and mental health policy. Methods: We conducted a narrative review integrating epidemiological data, findings from Israeli healthcare organizations, scientific studies, and clinical insights from specialized ED services. Results: Across both crises, Israel experienced a marked increase in the full spectrum of eating-related disturbances, ranging from emotional eating and subclinical DE to severe full-blown EDs. Adolescents and young adults were particularly affected, but increased ED-related disturbance was also observed among adults and individuals with pre-existing EDs. These findings coincide with a prolonged duration period before receiving treatment and with limited service capacity. In response, the mental health system attempted to implement rapid adaptations, including expanded telemedicine, short-term targeted interventions, and new ambulatory and day treatment programs. Conclusions: Our findings indicate that DE and EDs constitute a significant and escalating mental health burden during periods of collective crises that is comparable to other trauma-related conditions. Just as comprehensive short- and long-term intervention frameworks have been developed for trauma-related conditions, similar models are urgently required for EDs.
Additional Links: PMID-42450918
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@article {pmid42450918,
year = {2026},
author = {Latzer, Y and Stein, D},
title = {The Impact of Recent Collective Trauma in Israel on Eating Disorders and Disordered Eating: An Overview and Clinical Perspective.},
journal = {Healthcare (Basel, Switzerland)},
volume = {14},
number = {13},
pages = {},
pmid = {42450918},
issn = {2227-9032},
abstract = {Background: Periods of collective crises are associated with substantial deterioration in mental health. Whereas trauma-related psychopathology has received considerable clinical and policy attention during such periods, eating disorders (EDs) and disordered eating (DE) remain comparatively under-recognized. EDs and DE are well recognized in the Israeli context; however, accumulating evidence indicates a significant increase in their prevalence during periods of collective crisis. Objective: We sought to synthesize empirical findings and clinical observations in Israel about the impact of the COVID-19 pandemic and the October 2023 War on the emergence and exacerbation of DE and EDs, and to examine the implications for clinical practice and mental health policy. Methods: We conducted a narrative review integrating epidemiological data, findings from Israeli healthcare organizations, scientific studies, and clinical insights from specialized ED services. Results: Across both crises, Israel experienced a marked increase in the full spectrum of eating-related disturbances, ranging from emotional eating and subclinical DE to severe full-blown EDs. Adolescents and young adults were particularly affected, but increased ED-related disturbance was also observed among adults and individuals with pre-existing EDs. These findings coincide with a prolonged duration period before receiving treatment and with limited service capacity. In response, the mental health system attempted to implement rapid adaptations, including expanded telemedicine, short-term targeted interventions, and new ambulatory and day treatment programs. Conclusions: Our findings indicate that DE and EDs constitute a significant and escalating mental health burden during periods of collective crises that is comparable to other trauma-related conditions. Just as comprehensive short- and long-term intervention frameworks have been developed for trauma-related conditions, similar models are urgently required for EDs.},
}
RevDate: 2026-08-13
CmpDate: 2026-07-15
Valvular Heart Disease and Heart Failure in the Post-COVID-19 Era: A Narrative Review of Mechanisms, Diagnosis, Differential Assessment, and Clinical Outcomes.
Journal of clinical medicine, 15(13):.
Background/Objectives: Cardiovascular involvement is among the most consequential sequelae of SARS-CoV-2 infection. Myocardial injury, arrhythmia, and thromboembolic disease have been characterized in depth, yet the relationship between COVID-19 and valvular heart disease (VHD), and its interplay with heart failure (HF), has received comparatively limited synthesis. This narrative review consolidates current evidence on the mechanisms, diagnosis, differential assessment, and clinical outcomes linking acute and post-acute COVID-19 to valvular dysfunction and to incident or worsening heart failure, with emphasis on practical implications for cardiologists and internists. Methods: We searched PubMed, Scopus, and Web of Science (January 2020-January 2026) for studies on valvular dysfunction, heart failure, myocardial injury, and endothelial pathology in SARS-CoV-2 infection, and synthesized findings narratively. Results: Convergent pathways-endothelial injury, systemic hyperinflammation, micro- and macrovascular thrombosis, and pressure-volume overload-contribute to functional and, less frequently, structural valvular changes. Available evidence suggests that clinically relevant post-COVID valvular abnormalities are more often secondary/functional (mitral and tricuspid regurgitation) than primary structural lesions, although dedicated prospective valvular studies remain scarce. Pre-existing severe VHD markedly worsens acute COVID-19 prognosis. Elevated NT-proBNP, troponin, and interleukin-6 consistently predict decompensation and mortality, and a substantial minority of survivors show persistent fibrotic pulmonary changes and restrictive ventilatory defects on follow-up (pulmonary rather than cardiac findings). Conclusions: Post-COVID valvular dysfunction appears, on currently available but largely indirect evidence, predominantly functional and inflammation-related, and may overlap with HFpEF phenotypes in selected patients when objective diagnostic criteria are fulfilled. Biomarker-guided, multimodality follow-up is reasonable in high-risk survivors, and prospective longitudinal studies with standardized valvular endpoints remain a priority. Dedicated longitudinal evidence on valvular outcomes specifically remains very limited.
Additional Links: PMID-42452468
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@article {pmid42452468,
year = {2026},
author = {Rada, M and Petculescu, IM and Pah, AM and Avram, A and Velimirovici, DE and Velciov, AB and Tudoran, C and Iurciuc, S and Utu, D and Gheorghe, DR and Craciun, ML},
title = {Valvular Heart Disease and Heart Failure in the Post-COVID-19 Era: A Narrative Review of Mechanisms, Diagnosis, Differential Assessment, and Clinical Outcomes.},
journal = {Journal of clinical medicine},
volume = {15},
number = {13},
pages = {},
pmid = {42452468},
issn = {2077-0383},
support = {Victor Babeș University of Medicine and Pharmacy Timișoara//Victor Babeș University of Medicine and Pharmacy Timișoara/ ; },
abstract = {Background/Objectives: Cardiovascular involvement is among the most consequential sequelae of SARS-CoV-2 infection. Myocardial injury, arrhythmia, and thromboembolic disease have been characterized in depth, yet the relationship between COVID-19 and valvular heart disease (VHD), and its interplay with heart failure (HF), has received comparatively limited synthesis. This narrative review consolidates current evidence on the mechanisms, diagnosis, differential assessment, and clinical outcomes linking acute and post-acute COVID-19 to valvular dysfunction and to incident or worsening heart failure, with emphasis on practical implications for cardiologists and internists. Methods: We searched PubMed, Scopus, and Web of Science (January 2020-January 2026) for studies on valvular dysfunction, heart failure, myocardial injury, and endothelial pathology in SARS-CoV-2 infection, and synthesized findings narratively. Results: Convergent pathways-endothelial injury, systemic hyperinflammation, micro- and macrovascular thrombosis, and pressure-volume overload-contribute to functional and, less frequently, structural valvular changes. Available evidence suggests that clinically relevant post-COVID valvular abnormalities are more often secondary/functional (mitral and tricuspid regurgitation) than primary structural lesions, although dedicated prospective valvular studies remain scarce. Pre-existing severe VHD markedly worsens acute COVID-19 prognosis. Elevated NT-proBNP, troponin, and interleukin-6 consistently predict decompensation and mortality, and a substantial minority of survivors show persistent fibrotic pulmonary changes and restrictive ventilatory defects on follow-up (pulmonary rather than cardiac findings). Conclusions: Post-COVID valvular dysfunction appears, on currently available but largely indirect evidence, predominantly functional and inflammation-related, and may overlap with HFpEF phenotypes in selected patients when objective diagnostic criteria are fulfilled. Biomarker-guided, multimodality follow-up is reasonable in high-risk survivors, and prospective longitudinal studies with standardized valvular endpoints remain a priority. Dedicated longitudinal evidence on valvular outcomes specifically remains very limited.},
}
RevDate: 2026-08-13
CmpDate: 2026-07-15
COACH Study: COVID-19 Influence on Cardiorespiratory Fitness in Athletes-A Systematic Review and Meta-Analysis.
Journal of clinical medicine, 15(13):.
Objectives: We aimed to systematically review and meta-analyze the impact of COVID-19 infection on cardiorespiratory fitness (CRF): (1) within-athlete (the same participants before and after infection), and (2) between-athlete (infected vs. healthy reference participants). Methods: In this systematic review (PROSPERO Registry: CRD42024540430) we included observational studies enrolling recreational or competitive athletes ≥18 years old with laboratory confirmation of SARS-CoV-2 infection. The primary outcome was change in relative maximal oxygen uptake (VO2max). Secondary outcomes included changes in absolute VO2max, maximal ventilation (VEmax), and maximal heart rate (HRmax). We searched Embase, PubMed, Medline, Scopus, and Web of Science up to August 9th, 2025. Risk of bias was assessed with the JBI critical appraisal tool. Meta-analyses were performed with a random-effects model. Results: Twelve studies enrolling a total of 1595 participants met the eligibility criteria. COVID-19 infection was associated with lower relative VO2max (MD = -1.83 mL·kg[-1]·min[-1]; 95%CI [-3.16, -0.49]; p = 0.007; I[2] = 54%) and absolute VO2max (MD = -0.15 L·min[-1]; 95%CI [-0.29, -0.01]; p = 0.03; I[2] = 0%). COVID-19 infection was associated with lower VEmax (MD = -7.99 L·min[-1]; 95%CI [-12.94, -3.04]; p = 0.002; I[2] = 0%) but not with HRmax (MD = -0.34 bpm; 95%CI [-1.54, 0.86]; p = 0.58; I[2] = 0%). High heterogeneity of included studies was addressed with subgroup analyses. The risk of bias in most studies was high. The certainty of evidence was very low for each outcome. Conclusions: COVID-19 infection in athletes was associated with reduced VO2max and VEmax. The relationships were highly dependent on the quality of the studies. CRF and athlete profile should be considered when making shared decisions regarding safe return to sport after infection.
Additional Links: PMID-42452593
PubMed:
Citation:
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@article {pmid42452593,
year = {2026},
author = {Kasiak, P and Procyk, G},
title = {COACH Study: COVID-19 Influence on Cardiorespiratory Fitness in Athletes-A Systematic Review and Meta-Analysis.},
journal = {Journal of clinical medicine},
volume = {15},
number = {13},
pages = {},
pmid = {42452593},
issn = {2077-0383},
abstract = {Objectives: We aimed to systematically review and meta-analyze the impact of COVID-19 infection on cardiorespiratory fitness (CRF): (1) within-athlete (the same participants before and after infection), and (2) between-athlete (infected vs. healthy reference participants). Methods: In this systematic review (PROSPERO Registry: CRD42024540430) we included observational studies enrolling recreational or competitive athletes ≥18 years old with laboratory confirmation of SARS-CoV-2 infection. The primary outcome was change in relative maximal oxygen uptake (VO2max). Secondary outcomes included changes in absolute VO2max, maximal ventilation (VEmax), and maximal heart rate (HRmax). We searched Embase, PubMed, Medline, Scopus, and Web of Science up to August 9th, 2025. Risk of bias was assessed with the JBI critical appraisal tool. Meta-analyses were performed with a random-effects model. Results: Twelve studies enrolling a total of 1595 participants met the eligibility criteria. COVID-19 infection was associated with lower relative VO2max (MD = -1.83 mL·kg[-1]·min[-1]; 95%CI [-3.16, -0.49]; p = 0.007; I[2] = 54%) and absolute VO2max (MD = -0.15 L·min[-1]; 95%CI [-0.29, -0.01]; p = 0.03; I[2] = 0%). COVID-19 infection was associated with lower VEmax (MD = -7.99 L·min[-1]; 95%CI [-12.94, -3.04]; p = 0.002; I[2] = 0%) but not with HRmax (MD = -0.34 bpm; 95%CI [-1.54, 0.86]; p = 0.58; I[2] = 0%). High heterogeneity of included studies was addressed with subgroup analyses. The risk of bias in most studies was high. The certainty of evidence was very low for each outcome. Conclusions: COVID-19 infection in athletes was associated with reduced VO2max and VEmax. The relationships were highly dependent on the quality of the studies. CRF and athlete profile should be considered when making shared decisions regarding safe return to sport after infection.},
}
RevDate: 2026-08-13
CmpDate: 2026-07-15
Use of Natriuretic Peptides in Critically Ill Patients: A Narrative Review.
Journal of clinical medicine, 15(13):.
Background: Natriuretic peptides, including B-type natriuretic peptide (BNP) and N-terminal pro-B-type natriuretic peptide (NT-proBNP), are established biomarkers of myocardial stress and circulatory overload. Although originally validated for diagnosis and exclusion of heart failure, their diagnostic and prognostic applications have expanded significantly in the context of critical illness. However, interpretation in critically ill patients is complicated by confounding factors such as systemic inflammation and renal dysfunction. Objective: This review synthesizes current evidence on the diagnostic, monitoring, and prognostic applications of natriuretic peptides in critically ill adults. It further outlines practical considerations, confounding variables, and emerging complementary biomarkers pertinent to clinical decision-making. Methods: A structured search of PubMed, Embase, and the Cochrane Library (January 2000 to October 2025) identified studies evaluating BNP, NT-proBNP, and atrial natriuretic peptide (ANP) in intensive care unit (ICU) patients. Eligible studies and review articles assessed diagnostic utility, volume status, hemodynamic monitoring, and prognostic performance. Narrative synthesis was employed using information obtained from eligible studies. Results: Twenty-four studies met the inclusion criteria. BNP and NT-proBNP facilitate differentiation between cardiogenic and noncardiogenic respiratory failure, identification of mixed shock states, and assessment of volume status when used in association with other modalities such as echocardiography and ultrasonography. Elevated natriuretic peptide concentrations consistently predict mortality, acute kidney injury, prolonged mechanical ventilation, and adverse outcomes in several disease states, including sepsis, acute respiratory distress syndrome [ARDS], postoperative cardiac dysfunction, and COVID-19-related critical illness. However, interpretation remains limited by confounders, including renal impairment, age, systemic inflammation, brain injury, mechanical ventilation, and right-ventricular strain/dysfunction. Conclusions: Natriuretic peptides serve as valuable adjuncts for diagnostic assessment, hemodynamic monitoring, and risk stratification in the ICU. When interpreted with attention to biological kinetics and clinical context, these biomarkers enhance multimodal monitoring and support individualized management. Future research should refine ICU-specific cutoffs and assess natriuretic peptide-guided therapeutic strategies in prospective multicenter trials.
Additional Links: PMID-42452704
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@article {pmid42452704,
year = {2026},
author = {Olarewaju, A and Adebowale, A and Odutola, P and Arnold, A},
title = {Use of Natriuretic Peptides in Critically Ill Patients: A Narrative Review.},
journal = {Journal of clinical medicine},
volume = {15},
number = {13},
pages = {},
pmid = {42452704},
issn = {2077-0383},
abstract = {Background: Natriuretic peptides, including B-type natriuretic peptide (BNP) and N-terminal pro-B-type natriuretic peptide (NT-proBNP), are established biomarkers of myocardial stress and circulatory overload. Although originally validated for diagnosis and exclusion of heart failure, their diagnostic and prognostic applications have expanded significantly in the context of critical illness. However, interpretation in critically ill patients is complicated by confounding factors such as systemic inflammation and renal dysfunction. Objective: This review synthesizes current evidence on the diagnostic, monitoring, and prognostic applications of natriuretic peptides in critically ill adults. It further outlines practical considerations, confounding variables, and emerging complementary biomarkers pertinent to clinical decision-making. Methods: A structured search of PubMed, Embase, and the Cochrane Library (January 2000 to October 2025) identified studies evaluating BNP, NT-proBNP, and atrial natriuretic peptide (ANP) in intensive care unit (ICU) patients. Eligible studies and review articles assessed diagnostic utility, volume status, hemodynamic monitoring, and prognostic performance. Narrative synthesis was employed using information obtained from eligible studies. Results: Twenty-four studies met the inclusion criteria. BNP and NT-proBNP facilitate differentiation between cardiogenic and noncardiogenic respiratory failure, identification of mixed shock states, and assessment of volume status when used in association with other modalities such as echocardiography and ultrasonography. Elevated natriuretic peptide concentrations consistently predict mortality, acute kidney injury, prolonged mechanical ventilation, and adverse outcomes in several disease states, including sepsis, acute respiratory distress syndrome [ARDS], postoperative cardiac dysfunction, and COVID-19-related critical illness. However, interpretation remains limited by confounders, including renal impairment, age, systemic inflammation, brain injury, mechanical ventilation, and right-ventricular strain/dysfunction. Conclusions: Natriuretic peptides serve as valuable adjuncts for diagnostic assessment, hemodynamic monitoring, and risk stratification in the ICU. When interpreted with attention to biological kinetics and clinical context, these biomarkers enhance multimodal monitoring and support individualized management. Future research should refine ICU-specific cutoffs and assess natriuretic peptide-guided therapeutic strategies in prospective multicenter trials.},
}
RevDate: 2026-08-13
CmpDate: 2026-07-15
Telemedicine: An exploration of global impact and Indian perspectives on healthcare delivery, effectiveness, and challenges.
Journal of family medicine and primary care, 15(4):1473-1478.
Telemedicine represents a transformative approach to healthcare delivery, leveraging information and communication technologies to bridge geographical barriers between patients and healthcare providers. This paper explores telemedicine's historical development, global applications, and specific relevance in India, particularly focusing on the eSanjeevani program. Despite its potential, telemedicine faces challenges, such as the digital divide, regulatory frameworks, patient acceptance, and technical limitations. Addressing these challenges requires collaborative efforts among stakeholders to ensure equitable access, data security, and interoperability of telemedicine platforms. Telemedicine has demonstrated its efficacy in enhancing access to healthcare services, particularly in underserved regions, and has emerged as a vital tool during the COVID-19 pandemic. The eSanjeevani program in India serves as a prominent example of successful telemedicine implementation, facilitating millions of consultations and bridging the urban-rural healthcare divide. Looking ahead, telemedicine holds promise in revolutionizing healthcare delivery, fostering ecological responsibility, and advancing toward universal health coverage. Embracing telemedicine represents a significant step toward a healthier, greener, and more sustainable future for healthcare systems worldwide.
Additional Links: PMID-42453219
PubMed:
Citation:
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@article {pmid42453219,
year = {2026},
author = {Neogi, SB and Saroha, E and Mishra, SS and Tolani, H and Samtani, R},
title = {Telemedicine: An exploration of global impact and Indian perspectives on healthcare delivery, effectiveness, and challenges.},
journal = {Journal of family medicine and primary care},
volume = {15},
number = {4},
pages = {1473-1478},
pmid = {42453219},
issn = {2249-4863},
abstract = {Telemedicine represents a transformative approach to healthcare delivery, leveraging information and communication technologies to bridge geographical barriers between patients and healthcare providers. This paper explores telemedicine's historical development, global applications, and specific relevance in India, particularly focusing on the eSanjeevani program. Despite its potential, telemedicine faces challenges, such as the digital divide, regulatory frameworks, patient acceptance, and technical limitations. Addressing these challenges requires collaborative efforts among stakeholders to ensure equitable access, data security, and interoperability of telemedicine platforms. Telemedicine has demonstrated its efficacy in enhancing access to healthcare services, particularly in underserved regions, and has emerged as a vital tool during the COVID-19 pandemic. The eSanjeevani program in India serves as a prominent example of successful telemedicine implementation, facilitating millions of consultations and bridging the urban-rural healthcare divide. Looking ahead, telemedicine holds promise in revolutionizing healthcare delivery, fostering ecological responsibility, and advancing toward universal health coverage. Embracing telemedicine represents a significant step toward a healthier, greener, and more sustainable future for healthcare systems worldwide.},
}
RevDate: 2026-08-13
CmpDate: 2026-07-15
Diabetic ketoacidosis after COVID-19 infection in newly diagnosed patients with diabetes in the Middle East and African countries: A systematic review and meta-analysis.
Journal of family medicine and primary care, 15(4):1527-1539.
INTRODUCTION: The risk of diabetic ketoacidosis (DKA) is increased following the severe acute respiratory syndrome coronavirus 2 infection, "COVID-19," however, little evidence is available regarding the prevalence and outcomes of DKA in newly diagnosed patients with diabetes in the Middle East and African countries. Our objective was to conduct a systematic review of case reports detailing the prevalence and outcomes of DKA in COVID-19 infected in the above referenced countries.
METHODS AND SUBJECTS: Our search encompassed Medline (via PubMed), Embase (via OVID), Web of Science, Scopus, grey literature sources such as Open Access Theses and Dissertations (OATD), and the reference lists of the included studies.
RESULTS: The results of the current meta-analysis study showed that 17 studies met the search criteria and a total of 22 patients (15 patients with newly type 1 diabetes and seven patients with newly diagnosed type 2 diabetes). About 69.5% of the patients were of Arabian ethnicity. Body mass index (BMI) was reported only for seven patients, with a mean of 25.04 k g/m[2]. Two patients died in patients with newly diagnosed type 2 diabetes, giving a mortality rate of 14.3%, while all patients were in type 1 diabetes, who had DKA survived.
CONCLUSIONS: Covid 19 infection in patients with new diabetes from the Middle East and African countries was associated with increased risk of DKA with high mortality in patients with newly diagnosed type 2 diabetes.
Additional Links: PMID-42453257
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Citation:
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@article {pmid42453257,
year = {2026},
author = {Rajeh, DA and Amer, KA and Alasmari, R and Brema, I and Aljumah, M and Aljuaid, S},
title = {Diabetic ketoacidosis after COVID-19 infection in newly diagnosed patients with diabetes in the Middle East and African countries: A systematic review and meta-analysis.},
journal = {Journal of family medicine and primary care},
volume = {15},
number = {4},
pages = {1527-1539},
pmid = {42453257},
issn = {2249-4863},
abstract = {INTRODUCTION: The risk of diabetic ketoacidosis (DKA) is increased following the severe acute respiratory syndrome coronavirus 2 infection, "COVID-19," however, little evidence is available regarding the prevalence and outcomes of DKA in newly diagnosed patients with diabetes in the Middle East and African countries. Our objective was to conduct a systematic review of case reports detailing the prevalence and outcomes of DKA in COVID-19 infected in the above referenced countries.
METHODS AND SUBJECTS: Our search encompassed Medline (via PubMed), Embase (via OVID), Web of Science, Scopus, grey literature sources such as Open Access Theses and Dissertations (OATD), and the reference lists of the included studies.
RESULTS: The results of the current meta-analysis study showed that 17 studies met the search criteria and a total of 22 patients (15 patients with newly type 1 diabetes and seven patients with newly diagnosed type 2 diabetes). About 69.5% of the patients were of Arabian ethnicity. Body mass index (BMI) was reported only for seven patients, with a mean of 25.04 k g/m[2]. Two patients died in patients with newly diagnosed type 2 diabetes, giving a mortality rate of 14.3%, while all patients were in type 1 diabetes, who had DKA survived.
CONCLUSIONS: Covid 19 infection in patients with new diabetes from the Middle East and African countries was associated with increased risk of DKA with high mortality in patients with newly diagnosed type 2 diabetes.},
}
RevDate: 2026-08-13
CmpDate: 2026-07-15
Jing-Si Herbal Tea as a multitargeted complementary therapy: Evidence from preclinical and clinical studies.
Tzu chi medical journal, 38(3):289-299.
Jing-Si Herbal Tea (JSHT) is a traditional multi-herbal preparation composed of flavonoids, polyphenols, triterpenoid saponins, glycyrrhizin, and other bioactive constituents that collectively contribute to a wide spectrum of biological activities. Emerging laboratory and clinical studies indicate that JSHT is associated with modulation of oxidative stress, inflammatory responses, and immune-related pathways, with reported antiviral and cytoprotective effects primarily observed in experimental models and exploratory clinical settings. This review synthesizes current evidence describing the diverse pharmacological actions of JSHT and its potential applications across oncologic, inflammatory, metabolic, and infectious disease contexts. Experimental findings suggest that JSHT may be associated with modulation of tumor progression-related processes, including epithelial-mesenchymal transition and aberrant nuclear factor kappa B activity, while being associated with intracellular oxidative stress-related activation of apoptosis- and ferroptosis-related pathways in cancer cell models. Its immunoregulatory capacity is reflected in the attenuation of pro-inflammatory cytokines and the promotion of anti-inflammatory macrophage phenotypes. In respiratory and infectious diseases such as coronavirus disease 2019 and chronic obstructive pulmonary disease, JSHT has been reported to attenuate hyperinflammatory responses and preserve cellular or organ function and has been associated with clinical improvement in selected observational studies, which should be interpreted cautiously. Early clinical data, including results from a randomized study in functional dyspepsia, suggest benefits for gastrointestinal symptoms and anxiety, accompanied by increases in serum butyrate that may indicate involvement of the gut-brain axis. Across available studies, JSHT has shown good tolerability with few reported adverse effects. Overall, the accumulating evidence suggests that JSHT may have potential relevance as a multitarget complementary approach, pending confirmation through well-controlled clinical studies. Nonetheless, more extensive, well-controlled clinical investigations are warranted to validate its efficacy and clarify its mechanistic pathways.
Additional Links: PMID-42453521
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Citation:
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@article {pmid42453521,
year = {2026},
author = {Hsu, PC and Tsai, CC and Chu, TY and Kuo, CY},
title = {Jing-Si Herbal Tea as a multitargeted complementary therapy: Evidence from preclinical and clinical studies.},
journal = {Tzu chi medical journal},
volume = {38},
number = {3},
pages = {289-299},
pmid = {42453521},
issn = {2223-8956},
abstract = {Jing-Si Herbal Tea (JSHT) is a traditional multi-herbal preparation composed of flavonoids, polyphenols, triterpenoid saponins, glycyrrhizin, and other bioactive constituents that collectively contribute to a wide spectrum of biological activities. Emerging laboratory and clinical studies indicate that JSHT is associated with modulation of oxidative stress, inflammatory responses, and immune-related pathways, with reported antiviral and cytoprotective effects primarily observed in experimental models and exploratory clinical settings. This review synthesizes current evidence describing the diverse pharmacological actions of JSHT and its potential applications across oncologic, inflammatory, metabolic, and infectious disease contexts. Experimental findings suggest that JSHT may be associated with modulation of tumor progression-related processes, including epithelial-mesenchymal transition and aberrant nuclear factor kappa B activity, while being associated with intracellular oxidative stress-related activation of apoptosis- and ferroptosis-related pathways in cancer cell models. Its immunoregulatory capacity is reflected in the attenuation of pro-inflammatory cytokines and the promotion of anti-inflammatory macrophage phenotypes. In respiratory and infectious diseases such as coronavirus disease 2019 and chronic obstructive pulmonary disease, JSHT has been reported to attenuate hyperinflammatory responses and preserve cellular or organ function and has been associated with clinical improvement in selected observational studies, which should be interpreted cautiously. Early clinical data, including results from a randomized study in functional dyspepsia, suggest benefits for gastrointestinal symptoms and anxiety, accompanied by increases in serum butyrate that may indicate involvement of the gut-brain axis. Across available studies, JSHT has shown good tolerability with few reported adverse effects. Overall, the accumulating evidence suggests that JSHT may have potential relevance as a multitarget complementary approach, pending confirmation through well-controlled clinical studies. Nonetheless, more extensive, well-controlled clinical investigations are warranted to validate its efficacy and clarify its mechanistic pathways.},
}
RevDate: 2026-08-13
CmpDate: 2026-07-15
Biomarkers of post-acute infection syndrome: a systematic literature review.
Frontiers in immunology, 17:1741761.
BACKGROUND: Post-acute infection syndrome (PAIS) remained underrecognized before the COVID-19 pandemic, which further increased exposure by introducing a novel global cause. The global burden of post-acute COVID syndrome (PACS) and myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) alone is estimated at several tens of millions affected worldwide. Biomarker discovery is central to improving PAIS diagnosis and may provide therapeutic targets. This review summarizes current knowledge on biomarkers for PAIS, including PACS and ME/CFS.
METHODS: A systematic literature search was conducted in PubMed and Web of Science. Inclusion criteria were: (1) studies including PAIS patients; (2) reporting laboratory or omics biomarkers; and (3) investigating biomarkers or pathomechanisms of PAIS. Although Guillain-Barré syndrome (GBS) is not PAIS, we have included it as a separate mechanistic comparator due to its prevalence in search results and its clinical and immunological similarities to PAIS.
RESULTS: A total of 142 studies analyzing PAIS biomarkers were included. GBS was analyzed separately and later compared with the other results. Overall, the reviewed studies employed heterogeneous approaches. While similar types of data were frequently investigated, analytical methods varied and often focused only on a subset of molecules. The results indicate that amino acid, energy, and lipid metabolism, microbiome, mitochondrial stress, and miRNA networks are affected. All pathways are connected via NF-κB.
DISCUSSION: PAIS is a multisystem disorder rooted in persistent immune activation, metabolic reprogramming, and systemic inflammation, driven not by active viral infection, but by dysregulated host responses. The NF-κB pathway serves as a unifying hub, connecting molecular, cellular, and clinical phenotypes. Our framework enables a shift from symptom-based to mechanism-based classification, paving the way for biologically grounded interventions.
CONCLUSION: This review synthesizes a broad spectrum of biomarkers in PAIS, integrating findings across pathogens and molecular levels rather than restricting to individual conditions or symptom clusters. This study highlights the differences and commonalities among pathogens and diseases that lead to post-acute sequelae, fills a critical knowledge gap, and provides a foundation for future research and clinical practice. Future studies incorporating multi-omics approaches, longitudinal designs, and larger patient cohorts are needed to validate specific biomarkers and advance the understanding of PAIS.
Additional Links: PMID-42454043
PubMed:
Citation:
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@article {pmid42454043,
year = {2026},
author = {Wendt, K and Schieck, M and Gille, C and Marschollek, M and Illig, T and Wolff, D and Nee, S},
title = {Biomarkers of post-acute infection syndrome: a systematic literature review.},
journal = {Frontiers in immunology},
volume = {17},
number = {},
pages = {1741761},
pmid = {42454043},
issn = {1664-3224},
mesh = {Humans ; *Biomarkers/metabolism ; Post-Acute COVID-19 Syndrome ; *COVID-19/complications ; *SARS-CoV-2 ; *Fatigue Syndrome, Chronic/diagnosis ; },
abstract = {BACKGROUND: Post-acute infection syndrome (PAIS) remained underrecognized before the COVID-19 pandemic, which further increased exposure by introducing a novel global cause. The global burden of post-acute COVID syndrome (PACS) and myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) alone is estimated at several tens of millions affected worldwide. Biomarker discovery is central to improving PAIS diagnosis and may provide therapeutic targets. This review summarizes current knowledge on biomarkers for PAIS, including PACS and ME/CFS.
METHODS: A systematic literature search was conducted in PubMed and Web of Science. Inclusion criteria were: (1) studies including PAIS patients; (2) reporting laboratory or omics biomarkers; and (3) investigating biomarkers or pathomechanisms of PAIS. Although Guillain-Barré syndrome (GBS) is not PAIS, we have included it as a separate mechanistic comparator due to its prevalence in search results and its clinical and immunological similarities to PAIS.
RESULTS: A total of 142 studies analyzing PAIS biomarkers were included. GBS was analyzed separately and later compared with the other results. Overall, the reviewed studies employed heterogeneous approaches. While similar types of data were frequently investigated, analytical methods varied and often focused only on a subset of molecules. The results indicate that amino acid, energy, and lipid metabolism, microbiome, mitochondrial stress, and miRNA networks are affected. All pathways are connected via NF-κB.
DISCUSSION: PAIS is a multisystem disorder rooted in persistent immune activation, metabolic reprogramming, and systemic inflammation, driven not by active viral infection, but by dysregulated host responses. The NF-κB pathway serves as a unifying hub, connecting molecular, cellular, and clinical phenotypes. Our framework enables a shift from symptom-based to mechanism-based classification, paving the way for biologically grounded interventions.
CONCLUSION: This review synthesizes a broad spectrum of biomarkers in PAIS, integrating findings across pathogens and molecular levels rather than restricting to individual conditions or symptom clusters. This study highlights the differences and commonalities among pathogens and diseases that lead to post-acute sequelae, fills a critical knowledge gap, and provides a foundation for future research and clinical practice. Future studies incorporating multi-omics approaches, longitudinal designs, and larger patient cohorts are needed to validate specific biomarkers and advance the understanding of PAIS.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Biomarkers/metabolism
Post-Acute COVID-19 Syndrome
*COVID-19/complications
*SARS-CoV-2
*Fatigue Syndrome, Chronic/diagnosis
RevDate: 2026-08-13
CmpDate: 2026-07-15
State-of-the-art of the high dose influenza vaccine in Spain.
Frontiers in immunology, 17:1843611.
High-dose (HD) influenza vaccines have demonstrated robust effectiveness in preventing severe influenza-related outcomes, including pneumonia, cardiorespiratory complications, and mortality, with evidence from randomized clinical trials, meta-analyses, and real-world studies consistently showing superiority over standard-dose (SD) vaccines and supporting international recommendations for adults aged ≥60 years. This is increasingly relevant in the context of global aging and immunosenescence, which weakens vaccine-induced immune responses and heightens biological frailty, functional decline, and the risk of severe complications in older adults, especially those with comorbidities. The objective of this work is to describe the introduction, uptake, and current use of HD influenza vaccines in Spain and to summarize the evidence supporting their broader adoption in adults ≥60 years of age. Methods include a narrative synthesis of clinical evidence and an analysis of vaccination strategies implemented across Spanish autonomous communities since the introduction of HD vaccines during the COVID-19 pandemic. Available evidence supports extending HD vaccine use as a population-based strategy to enhance protection and promote equitable access. The results show that the incorporation of HD influenza vaccines marked a significant shift in national vaccination strategies, with heterogeneous uptake across regions: while some prioritized institutionalized or dependent populations, others implemented mixed approaches that also included community-dwelling adults aged ≥60 years. In conclusion, a clear trend toward wider adoption is emerging, with an increasing number of autonomous communities incorporating HD vaccines into their programs and progressively lowering the recommended age threshold, in alignment with international guidance and the biological rationale for strengthened protection in older adults.
Additional Links: PMID-42454050
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Citation:
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@article {pmid42454050,
year = {2026},
author = {Sanz-Muñoz, I and Farre-Avella, M and Barroso-Santos, PJ and Eiros, JM},
title = {State-of-the-art of the high dose influenza vaccine in Spain.},
journal = {Frontiers in immunology},
volume = {17},
number = {},
pages = {1843611},
pmid = {42454050},
issn = {1664-3224},
mesh = {Humans ; *Influenza Vaccines/administration & dosage/immunology ; Spain/epidemiology ; *Influenza, Human/prevention & control/immunology/epidemiology ; Vaccination ; Aged ; *COVID-19/prevention & control/epidemiology ; Middle Aged ; SARS-CoV-2 ; },
abstract = {High-dose (HD) influenza vaccines have demonstrated robust effectiveness in preventing severe influenza-related outcomes, including pneumonia, cardiorespiratory complications, and mortality, with evidence from randomized clinical trials, meta-analyses, and real-world studies consistently showing superiority over standard-dose (SD) vaccines and supporting international recommendations for adults aged ≥60 years. This is increasingly relevant in the context of global aging and immunosenescence, which weakens vaccine-induced immune responses and heightens biological frailty, functional decline, and the risk of severe complications in older adults, especially those with comorbidities. The objective of this work is to describe the introduction, uptake, and current use of HD influenza vaccines in Spain and to summarize the evidence supporting their broader adoption in adults ≥60 years of age. Methods include a narrative synthesis of clinical evidence and an analysis of vaccination strategies implemented across Spanish autonomous communities since the introduction of HD vaccines during the COVID-19 pandemic. Available evidence supports extending HD vaccine use as a population-based strategy to enhance protection and promote equitable access. The results show that the incorporation of HD influenza vaccines marked a significant shift in national vaccination strategies, with heterogeneous uptake across regions: while some prioritized institutionalized or dependent populations, others implemented mixed approaches that also included community-dwelling adults aged ≥60 years. In conclusion, a clear trend toward wider adoption is emerging, with an increasing number of autonomous communities incorporating HD vaccines into their programs and progressively lowering the recommended age threshold, in alignment with international guidance and the biological rationale for strengthened protection in older adults.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Influenza Vaccines/administration & dosage/immunology
Spain/epidemiology
*Influenza, Human/prevention & control/immunology/epidemiology
Vaccination
Aged
*COVID-19/prevention & control/epidemiology
Middle Aged
SARS-CoV-2
RevDate: 2026-08-25
CmpDate: 2026-08-13
Expert Opinion: Management of Intraocular Inflammation and Vasculitis After Intravitreal Pegcetacoplan for Geographic Atrophy.
Ophthalmic surgery, lasers & imaging retina, 57(8):492-498.
BACKGROUND AND OBJECTIVE: This expert opinion review is intended to provide guidelines for diagnosis and management of intraocular inflammation (IOI) and vasculitis following pegcetacoplan.
PATIENTS AND METHODS: A case series of all post-marketing reports classified by experts as definite or suspected vasculitis over an 18-month period was assessed.
RESULTS: A total of 306,000 pegcetacoplan intravitreal injections were given in the real world between March 1, 2023, and August 31, 2024. Twenty-four eyes from 22 patients (mean age 76 years, 59% female) with definite or suspected vasculitis were evaluated. Comorbidities included hypertension (55%), hypothyroidism (27%), and recent COVID-19 infection (14%). Twelve eyes were classified as vasculitis with occlusion, seven as vasculitis without occlusion, and five as suspected vasculitis. Median time from intravitreal injection to symptoms was 10 days and 88% (n = 21) occurred after the first injection. Symptoms included reduced vision (71%), eye pain (33%), and elevated intraocular pressure (50%). All patients received corticosteroids and 29% received antibiotics. At last follow-up, six eyes recovered visual acuity to within one line of baseline, seven lost between 2 to 5 lines, and 11 lost 6 lines or more.
CONCLUSION: While IOI and vasculitis are rare, patients can be educated to call a retina specialist promptly if symptoms or any vision loss develop, especially within the 2 weeks following the first injection. In addition to excluding an infectious etiology, individualized management with multiroute corticosteroids can be considered.
Additional Links: PMID-42454876
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PubMed:
Citation:
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@article {pmid42454876,
year = {2026},
author = {Albini, TA and Yeh, S and Regillo, CD and Schwartz, R and Ferrone, PJ and Baumal, CR and Wykoff, CC},
title = {Expert Opinion: Management of Intraocular Inflammation and Vasculitis After Intravitreal Pegcetacoplan for Geographic Atrophy.},
journal = {Ophthalmic surgery, lasers & imaging retina},
volume = {57},
number = {8},
pages = {492-498},
doi = {10.3928/23258160-20260521-03},
pmid = {42454876},
issn = {2325-8179},
mesh = {Humans ; Intravitreal Injections ; *Geographic Atrophy/drug therapy ; Female ; Visual Acuity ; *Retinal Vasculitis/diagnosis/drug therapy/chemically induced ; Glucocorticoids/therapeutic use ; Aged ; *Angiogenesis Inhibitors/adverse effects ; Male ; *Vasculitis/drug therapy/diagnosis/chemically induced ; },
abstract = {BACKGROUND AND OBJECTIVE: This expert opinion review is intended to provide guidelines for diagnosis and management of intraocular inflammation (IOI) and vasculitis following pegcetacoplan.
PATIENTS AND METHODS: A case series of all post-marketing reports classified by experts as definite or suspected vasculitis over an 18-month period was assessed.
RESULTS: A total of 306,000 pegcetacoplan intravitreal injections were given in the real world between March 1, 2023, and August 31, 2024. Twenty-four eyes from 22 patients (mean age 76 years, 59% female) with definite or suspected vasculitis were evaluated. Comorbidities included hypertension (55%), hypothyroidism (27%), and recent COVID-19 infection (14%). Twelve eyes were classified as vasculitis with occlusion, seven as vasculitis without occlusion, and five as suspected vasculitis. Median time from intravitreal injection to symptoms was 10 days and 88% (n = 21) occurred after the first injection. Symptoms included reduced vision (71%), eye pain (33%), and elevated intraocular pressure (50%). All patients received corticosteroids and 29% received antibiotics. At last follow-up, six eyes recovered visual acuity to within one line of baseline, seven lost between 2 to 5 lines, and 11 lost 6 lines or more.
CONCLUSION: While IOI and vasculitis are rare, patients can be educated to call a retina specialist promptly if symptoms or any vision loss develop, especially within the 2 weeks following the first injection. In addition to excluding an infectious etiology, individualized management with multiroute corticosteroids can be considered.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
Intravitreal Injections
*Geographic Atrophy/drug therapy
Female
Visual Acuity
*Retinal Vasculitis/diagnosis/drug therapy/chemically induced
Glucocorticoids/therapeutic use
Aged
*Angiogenesis Inhibitors/adverse effects
Male
*Vasculitis/drug therapy/diagnosis/chemically induced
RevDate: 2026-08-14
CmpDate: 2026-08-14
Artificial intelligence for chest imaging in hantavirus pulmonary syndrome: A review of practical considerations for rare-disease imaging.
Clinical imaging, 138:110895.
Hantavirus pulmonary syndrome (HPS) is an uncommon zoonotic respiratory illness with a high case fatality rate. Recent travel-associated Andes orthohantavirus clusters have renewed interest in early radiographic recognition of the disease outside its usual geographic range. Artificial intelligence (AI) tools developed during the COVID-19 pandemic now inform several radiology workflows, but the application of AI to HPS chest imaging remains largely unexplored. This narrative review summarises the imaging features of HPS across modalities, considers lessons from AI applications in COVID-19 and viral pneumonia imaging, and discusses practical development considerations for HPS-aware imaging AI, including dataset development, label standardisation, realistic comparator inclusion, candidate modelling approaches, external validation, and clinical workflow integration. The review also considers challenges to HPS-aware imaging AI, including data scarcity, low pretest probability in non-endemic settings, overlapping imaging findings, and translational pitfalls from recent AI literature. As HPS is unlikely to support conventional disease-specific model development without coordinated data collection, future work will likely require multi-institutional datasets, prevalence-aware evaluation, and multimodal workflow integration that combines imaging with clinical, laboratory, and epidemiologic context.
Additional Links: PMID-42456241
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PubMed:
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@article {pmid42456241,
year = {2026},
author = {Dietrich, N and Stubbert, B},
title = {Artificial intelligence for chest imaging in hantavirus pulmonary syndrome: A review of practical considerations for rare-disease imaging.},
journal = {Clinical imaging},
volume = {138},
number = {},
pages = {110895},
doi = {10.1016/j.clinimag.2026.110895},
pmid = {42456241},
issn = {1873-4499},
mesh = {Humans ; *Artificial Intelligence ; *Hantavirus Pulmonary Syndrome/diagnostic imaging ; *Rare Diseases/diagnostic imaging ; COVID-19 ; SARS-CoV-2 ; Pandemics ; *Radiography, Thoracic/methods ; },
abstract = {Hantavirus pulmonary syndrome (HPS) is an uncommon zoonotic respiratory illness with a high case fatality rate. Recent travel-associated Andes orthohantavirus clusters have renewed interest in early radiographic recognition of the disease outside its usual geographic range. Artificial intelligence (AI) tools developed during the COVID-19 pandemic now inform several radiology workflows, but the application of AI to HPS chest imaging remains largely unexplored. This narrative review summarises the imaging features of HPS across modalities, considers lessons from AI applications in COVID-19 and viral pneumonia imaging, and discusses practical development considerations for HPS-aware imaging AI, including dataset development, label standardisation, realistic comparator inclusion, candidate modelling approaches, external validation, and clinical workflow integration. The review also considers challenges to HPS-aware imaging AI, including data scarcity, low pretest probability in non-endemic settings, overlapping imaging findings, and translational pitfalls from recent AI literature. As HPS is unlikely to support conventional disease-specific model development without coordinated data collection, future work will likely require multi-institutional datasets, prevalence-aware evaluation, and multimodal workflow integration that combines imaging with clinical, laboratory, and epidemiologic context.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Artificial Intelligence
*Hantavirus Pulmonary Syndrome/diagnostic imaging
*Rare Diseases/diagnostic imaging
COVID-19
SARS-CoV-2
Pandemics
*Radiography, Thoracic/methods
RevDate: 2026-08-13
CmpDate: 2026-07-16
Factors affecting nurses' professional quality of life in Europe - A systematic review.
AIMS public health, 13(2):485-512.
BACKGROUND: Nursing care involves both cognitive and emotional aspects, significantly impacting nurses' professional quality of life (ProQOL). This systematic review investigated the factors affecting nurses' professional quality of life in Europe.
METHODS: This systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses reporting framework and was registered in the International Prospective Register of Systematic Reviews (registration number: CRD420251133948). Searches were conducted in PubMed, Scopus, CINAHL, ScienceDirect, and EBSCOhost from inception to August 2025. Eligible peer-reviewed quantitative studies from European Union countries utilized the ProQOL instrument, reporting on all three dimensions: compassion satisfaction, burnout, and secondary traumatic stress. Two reviewers independently screened records, extracted data, and appraised methodological quality using the Joanna Briggs Institute critical appraisal tool.
RESULTS: A total of 3407 records were initially identified, and 35 studies were ultimately included, comprising 8580 nursing staff across diverse clinical settings, predominantly hospitals, with 13 studies conducted during the coronavirus disease period in 2019. Most studies reported moderate levels of compassion satisfaction and moderate levels of burnout and secondary traumatic stress. Higher compassion satisfaction was generally associated with greater age and professional experience, relevant education and training, work engagement, supportive work environments, better perceived control over workload, and stronger psychosocial resources, including resilience, psychological flexibility, self-compassion, mindfulness, and social support. Higher burnout and secondary traumatic stress related to indirect exposure were consistently linked to a high workload, overtime, rotating schedules, job stress, workplace violence, employment in high-intensity clinical areas, and adverse psychological states, including persistent stress, fear related to the coronavirus disease, and moral distress.
CONCLUSIONS: Professional quality of life among European nursing staff is influenced by a combination of demographic, occupational, and psychosocial factors. Multilevel strategies addressing organizational stressors while strengthening individual and team-based resources are warranted to improve compassion satisfaction and reduce burnout and secondary traumatic stress.
Additional Links: PMID-42459265
PubMed:
Citation:
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@article {pmid42459265,
year = {2026},
author = {Vera, E and Galanis, P and Mangoulia, P and Pesiridis, T},
title = {Factors affecting nurses' professional quality of life in Europe - A systematic review.},
journal = {AIMS public health},
volume = {13},
number = {2},
pages = {485-512},
pmid = {42459265},
issn = {2327-8994},
abstract = {BACKGROUND: Nursing care involves both cognitive and emotional aspects, significantly impacting nurses' professional quality of life (ProQOL). This systematic review investigated the factors affecting nurses' professional quality of life in Europe.
METHODS: This systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses reporting framework and was registered in the International Prospective Register of Systematic Reviews (registration number: CRD420251133948). Searches were conducted in PubMed, Scopus, CINAHL, ScienceDirect, and EBSCOhost from inception to August 2025. Eligible peer-reviewed quantitative studies from European Union countries utilized the ProQOL instrument, reporting on all three dimensions: compassion satisfaction, burnout, and secondary traumatic stress. Two reviewers independently screened records, extracted data, and appraised methodological quality using the Joanna Briggs Institute critical appraisal tool.
RESULTS: A total of 3407 records were initially identified, and 35 studies were ultimately included, comprising 8580 nursing staff across diverse clinical settings, predominantly hospitals, with 13 studies conducted during the coronavirus disease period in 2019. Most studies reported moderate levels of compassion satisfaction and moderate levels of burnout and secondary traumatic stress. Higher compassion satisfaction was generally associated with greater age and professional experience, relevant education and training, work engagement, supportive work environments, better perceived control over workload, and stronger psychosocial resources, including resilience, psychological flexibility, self-compassion, mindfulness, and social support. Higher burnout and secondary traumatic stress related to indirect exposure were consistently linked to a high workload, overtime, rotating schedules, job stress, workplace violence, employment in high-intensity clinical areas, and adverse psychological states, including persistent stress, fear related to the coronavirus disease, and moral distress.
CONCLUSIONS: Professional quality of life among European nursing staff is influenced by a combination of demographic, occupational, and psychosocial factors. Multilevel strategies addressing organizational stressors while strengthening individual and team-based resources are warranted to improve compassion satisfaction and reduce burnout and secondary traumatic stress.},
}
RevDate: 2026-08-13
CmpDate: 2026-07-16
Internet healthcare in Chinese public hospitals: Towards high-quality development (1986-present).
AIMS public health, 13(2):598-621.
BACKGROUND: Internet healthcare has become a key part of China's hospital-centered health system. Driven by "Internet Plus Healthcare", Healthy China 2030, and public-hospital high-quality development policies, it has evolved from remote consultation experiments into regulated online-offline care pathways. This review traces its development from the first documented remote medical practice in 1986 to the present, focusing on policy, institutional models, clinical evidence, governance challenges, and reform.
METHODS: We conducted a structured narrative review of English- and Chinese-language sources on internet healthcare in Chinese public hospitals. PubMed/MEDLINE, Web of Science Core Collection, China National Knowledge Infrastructure (CNKI), and official policy sources were searched. Eligible sources addressed internet hospitals, telemedicine, online follow-ups, remote monitoring, e-prescriptions, insurance payments, digital governance, clinical outcomes, patient safety, equity, or implementation barriers in mainland China.
RESULTS: Internet healthcare progressed through early telemedicine, institutional network expansion, internet-hospital development, and pandemic-driven normalization. The 2018 regulatory framework positioned internet hospitals as extensions of licensed physical medical institutions, thereby permitting online follow-ups for common and chronic diseases while preserving offline accountability. During COVID-19, online consultation, e-prescriptions, drug delivery, and insurance payments rapidly expanded. Evidence suggests benefits for chronic disease management, medication adherence, cardiovascular secondary prevention, and reduced travel burden. However, evidence remains limited for diagnostic accuracy, adverse events, emergency escalation, and long-term outcomes. Persistent barriers include quality variation, workload, cybersecurity, data fragmentation, artificial intelligence (AI) accountability, reimbursement design, regional inequity, and digital exclusion among older adults.
CONCLUSION: China's model may be understood as a hospital-centered extension of public-hospital functions rather than a stand-alone virtual-care system. Future development should prioritize outcome-based evaluations, safety governance, equitable access, data interoperability, and accountability for internet-based and AI-assisted care.
Additional Links: PMID-42459266
PubMed:
Citation:
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@article {pmid42459266,
year = {2026},
author = {Du, D and Sun, G and Yuan, L and Yao, Y and Yang, T and Gao, J and Zhang, L},
title = {Internet healthcare in Chinese public hospitals: Towards high-quality development (1986-present).},
journal = {AIMS public health},
volume = {13},
number = {2},
pages = {598-621},
pmid = {42459266},
issn = {2327-8994},
abstract = {BACKGROUND: Internet healthcare has become a key part of China's hospital-centered health system. Driven by "Internet Plus Healthcare", Healthy China 2030, and public-hospital high-quality development policies, it has evolved from remote consultation experiments into regulated online-offline care pathways. This review traces its development from the first documented remote medical practice in 1986 to the present, focusing on policy, institutional models, clinical evidence, governance challenges, and reform.
METHODS: We conducted a structured narrative review of English- and Chinese-language sources on internet healthcare in Chinese public hospitals. PubMed/MEDLINE, Web of Science Core Collection, China National Knowledge Infrastructure (CNKI), and official policy sources were searched. Eligible sources addressed internet hospitals, telemedicine, online follow-ups, remote monitoring, e-prescriptions, insurance payments, digital governance, clinical outcomes, patient safety, equity, or implementation barriers in mainland China.
RESULTS: Internet healthcare progressed through early telemedicine, institutional network expansion, internet-hospital development, and pandemic-driven normalization. The 2018 regulatory framework positioned internet hospitals as extensions of licensed physical medical institutions, thereby permitting online follow-ups for common and chronic diseases while preserving offline accountability. During COVID-19, online consultation, e-prescriptions, drug delivery, and insurance payments rapidly expanded. Evidence suggests benefits for chronic disease management, medication adherence, cardiovascular secondary prevention, and reduced travel burden. However, evidence remains limited for diagnostic accuracy, adverse events, emergency escalation, and long-term outcomes. Persistent barriers include quality variation, workload, cybersecurity, data fragmentation, artificial intelligence (AI) accountability, reimbursement design, regional inequity, and digital exclusion among older adults.
CONCLUSION: China's model may be understood as a hospital-centered extension of public-hospital functions rather than a stand-alone virtual-care system. Future development should prioritize outcome-based evaluations, safety governance, equitable access, data interoperability, and accountability for internet-based and AI-assisted care.},
}
RevDate: 2026-09-26
CmpDate: 2026-07-16
Beyond Prison Walls: A Scoping Review of Incarceration's Public Health Impacts in Latin America.
Wellcome open research, 11:193.
BACKGROUND: Incarceration has vast and unequal impacts on public health beyond prison walls. Research from the United States documents these collateral consequences, including elevated mental illness and morbidity for the children and partners of incarcerated individuals, alongside community-level effects such as increased rates of teenage pregnancy and multidrug-resistant tuberculosis. In Latin America, however, these broader health impacts remain critically understudied. A significant barrier is the absence of data collection efforts or theoretical frameworks for mapping how Latin America's prisons affect the health of families and surrounding communities.
OBJECTIVE: This scoping review synthesises existing evidence on the collateral health consequences of incarceration in Latin America by conducting a comprehensive search in 2025 that included English, Spanish and Portuguese language peer-reviewed studies.
RESULTS: From 17 included documents, prisons emerge as epicentres for tuberculosis transmission to visiting families and surrounding communities. The evidence reveals significant mental and physical health burdens on families. Women with incarcerated partners experience depression and anxiety whilst managing economic strain and expanded caregiving responsibilities, often neglecting their own health. Children of incarcerated parents show marked emotional distress, and incarcerated mothers alongside their young children face severely inadequate healthcare access within detention spaces.
CONCLUSIONS: Despite collecting demographic data, most studies overlook how these burdens fall unequally across racialised populations. Future research must centre ethnoracial disparities and situated knowledge.
Additional Links: PMID-42459503
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Citation:
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@article {pmid42459503,
year = {2026},
author = {Larrain, D and Parker, CM},
title = {Beyond Prison Walls: A Scoping Review of Incarceration's Public Health Impacts in Latin America.},
journal = {Wellcome open research},
volume = {11},
number = {},
pages = {193},
pmid = {42459503},
issn = {2398-502X},
support = {/WT_/Wellcome Trust/United Kingdom ; },
abstract = {BACKGROUND: Incarceration has vast and unequal impacts on public health beyond prison walls. Research from the United States documents these collateral consequences, including elevated mental illness and morbidity for the children and partners of incarcerated individuals, alongside community-level effects such as increased rates of teenage pregnancy and multidrug-resistant tuberculosis. In Latin America, however, these broader health impacts remain critically understudied. A significant barrier is the absence of data collection efforts or theoretical frameworks for mapping how Latin America's prisons affect the health of families and surrounding communities.
OBJECTIVE: This scoping review synthesises existing evidence on the collateral health consequences of incarceration in Latin America by conducting a comprehensive search in 2025 that included English, Spanish and Portuguese language peer-reviewed studies.
RESULTS: From 17 included documents, prisons emerge as epicentres for tuberculosis transmission to visiting families and surrounding communities. The evidence reveals significant mental and physical health burdens on families. Women with incarcerated partners experience depression and anxiety whilst managing economic strain and expanded caregiving responsibilities, often neglecting their own health. Children of incarcerated parents show marked emotional distress, and incarcerated mothers alongside their young children face severely inadequate healthcare access within detention spaces.
CONCLUSIONS: Despite collecting demographic data, most studies overlook how these burdens fall unequally across racialised populations. Future research must centre ethnoracial disparities and situated knowledge.},
}
RevDate: 2026-07-16
Integrating Oral Health Into Pandemic Preparedness and Response: Missed Opportunities and Strategic Imperatives for Global Health System Resilience and Security.
Community dentistry and oral epidemiology [Epub ahead of print].
BACKGROUND: Despite evidence linking oral health to severe COVID-19 outcomes and its potential role in surveillance and service delivery, integration remained absent. This study enquired about: (1) representation of oral health in national COVID-19 taskforces and funding; (2) policy-level barriers to inclusion; (3) lessons from maintaining essential services; and (4) strategies for mobilizing oral health professionals in future emergencies.
METHODS: We conducted a scoping review guided by the PRISMA-ScR framework. Systematic searches were performed in PubMed/MEDLINE and Scopus (2000-2025) using tailored search strings combining key terms: oral health, pandemic preparedness, COVID-19, dentistry, health systems and related MeSH terms. Eligible evidence included peer-reviewed studies, reviews, policy documents and commentaries in English. Non-human studies were excluded. Data were charted using the WHO Health System Building Blocks framework.
RESULTS: After dual-reviewer screening, 2569-3860 records were screened, yielding 5-8 eligible studies per question (26 studies total). The evidence revealed a consistent narrative of systemic exclusion yet operational resilience. For representation, oral health professionals were almost universally absent from national COVID-19 task forces, with dedicated financial support entirely lacking. Regarding barriers, policy integration was hindered by the framing of oral care as non-essential, its omission from global health security architectures like the International Health Regulations, and limited professional advocacy. In contrast, lessons from service adaptation demonstrated that essential care was maintained through the rapid adoption of triage, teledentistry, robust infection control and effective communication. On workforce mobilization, while consensus existed on the potential for OHPs to expand into roles such as vaccination and surveillance, implementation was obstructed by a lack of pre-emergency training, formal deployment mechanisms and regulatory frameworks with minimal linkage to international instruments.
CONCLUSION: The review reflects systemic neglect of oral health, with the literature dominated by descriptions of clinical and operational adaptations rather than formal policy integration. We identify missed opportunities in leveraging OHPs for pandemic response and propose embedding oral health within One Health governance, financing, surveillance and emergency response structures to build more resilient health systems.
Additional Links: PMID-42460684
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PubMed:
Citation:
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@article {pmid42460684,
year = {2026},
author = {Foláyan, MO and Arobo, A and Oyeyemi, E and Bhayat, A and Tantawi, ME},
title = {Integrating Oral Health Into Pandemic Preparedness and Response: Missed Opportunities and Strategic Imperatives for Global Health System Resilience and Security.},
journal = {Community dentistry and oral epidemiology},
volume = {},
number = {},
pages = {},
doi = {10.1111/cdoe.70092},
pmid = {42460684},
issn = {1600-0528},
abstract = {BACKGROUND: Despite evidence linking oral health to severe COVID-19 outcomes and its potential role in surveillance and service delivery, integration remained absent. This study enquired about: (1) representation of oral health in national COVID-19 taskforces and funding; (2) policy-level barriers to inclusion; (3) lessons from maintaining essential services; and (4) strategies for mobilizing oral health professionals in future emergencies.
METHODS: We conducted a scoping review guided by the PRISMA-ScR framework. Systematic searches were performed in PubMed/MEDLINE and Scopus (2000-2025) using tailored search strings combining key terms: oral health, pandemic preparedness, COVID-19, dentistry, health systems and related MeSH terms. Eligible evidence included peer-reviewed studies, reviews, policy documents and commentaries in English. Non-human studies were excluded. Data were charted using the WHO Health System Building Blocks framework.
RESULTS: After dual-reviewer screening, 2569-3860 records were screened, yielding 5-8 eligible studies per question (26 studies total). The evidence revealed a consistent narrative of systemic exclusion yet operational resilience. For representation, oral health professionals were almost universally absent from national COVID-19 task forces, with dedicated financial support entirely lacking. Regarding barriers, policy integration was hindered by the framing of oral care as non-essential, its omission from global health security architectures like the International Health Regulations, and limited professional advocacy. In contrast, lessons from service adaptation demonstrated that essential care was maintained through the rapid adoption of triage, teledentistry, robust infection control and effective communication. On workforce mobilization, while consensus existed on the potential for OHPs to expand into roles such as vaccination and surveillance, implementation was obstructed by a lack of pre-emergency training, formal deployment mechanisms and regulatory frameworks with minimal linkage to international instruments.
CONCLUSION: The review reflects systemic neglect of oral health, with the literature dominated by descriptions of clinical and operational adaptations rather than formal policy integration. We identify missed opportunities in leveraging OHPs for pandemic response and propose embedding oral health within One Health governance, financing, surveillance and emergency response structures to build more resilient health systems.},
}
RevDate: 2026-08-20
CmpDate: 2026-08-18
From sites to structure to serology: a roadmap for structure-aware molecular evolution of antigenically evolving viruses.
Journal of virology, 100(8):e0168725.
The genomic deluge has pushed viral molecular evolution into a site-resolved era. For antigenically evolving viruses such as influenza and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), dense genomic sampling now supports mutation-annotated phylogenies and per-site estimates of mutation and substitution processes. These data highlight strong effects of sequence context, genomic region, RNA structure, and protein-level constraints that are blurred by classic uniform substitution models. In parallel, accurate structure prediction and emerging structure-aware phylogenetic and machine-learning approaches provide practical ways to map mutations onto three-dimensional constraints, identify structurally plausible escape routes, and interpret evolutionary rate variation through solvent exposure, packing, stability, glycosylation, receptor-binding interfaces, and epitope geometry. Finally, antigenic cartography translates some forms of genetic change into an epidemiologically meaningful phenotype-antigenic distance-while predictive modeling increasingly enables sequence-to-antigenicity inference for variants that have not yet been tested experimentally. Here, we outline a practical framework linking sites, structure, and serology for viruses in which antigenic evolution is a major component of immune escape and lineage turnover; highlight why genetic and antigenic "clocks" can diverge; and discuss how integrating genomic surveillance data, phylogenetics, structural analysis, and predictive modeling could support more prospective variant assessment and improved vaccine and therapeutic design.
Additional Links: PMID-42461048
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@article {pmid42461048,
year = {2026},
author = {Översti, S and Lytras, S and Kawakubo, S and Ito, J and Ghafari, M},
title = {From sites to structure to serology: a roadmap for structure-aware molecular evolution of antigenically evolving viruses.},
journal = {Journal of virology},
volume = {100},
number = {8},
pages = {e0168725},
pmid = {42461048},
issn = {1098-5514},
support = {/WT_/Wellcome Trust/United Kingdom ; 309205/Z/24/Z//Wellcome Trust Early Career/ ; },
mesh = {*Evolution, Molecular ; *Antigens, Viral/genetics/immunology/chemistry ; Phylogeny ; *SARS-CoV-2/genetics/immunology ; Humans ; Genome, Viral ; Machine Learning ; Mutation ; Epitopes/immunology/genetics ; },
abstract = {The genomic deluge has pushed viral molecular evolution into a site-resolved era. For antigenically evolving viruses such as influenza and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), dense genomic sampling now supports mutation-annotated phylogenies and per-site estimates of mutation and substitution processes. These data highlight strong effects of sequence context, genomic region, RNA structure, and protein-level constraints that are blurred by classic uniform substitution models. In parallel, accurate structure prediction and emerging structure-aware phylogenetic and machine-learning approaches provide practical ways to map mutations onto three-dimensional constraints, identify structurally plausible escape routes, and interpret evolutionary rate variation through solvent exposure, packing, stability, glycosylation, receptor-binding interfaces, and epitope geometry. Finally, antigenic cartography translates some forms of genetic change into an epidemiologically meaningful phenotype-antigenic distance-while predictive modeling increasingly enables sequence-to-antigenicity inference for variants that have not yet been tested experimentally. Here, we outline a practical framework linking sites, structure, and serology for viruses in which antigenic evolution is a major component of immune escape and lineage turnover; highlight why genetic and antigenic "clocks" can diverge; and discuss how integrating genomic surveillance data, phylogenetics, structural analysis, and predictive modeling could support more prospective variant assessment and improved vaccine and therapeutic design.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Evolution, Molecular
*Antigens, Viral/genetics/immunology/chemistry
Phylogeny
*SARS-CoV-2/genetics/immunology
Humans
Genome, Viral
Machine Learning
Mutation
Epitopes/immunology/genetics
RevDate: 2026-09-11
CmpDate: 2026-09-11
Healthcare Design for Pandemic Resilience: A Systems Thinking Approach.
HERD, 19(4):256-276.
BackgroundThe COVID-19 pandemic created unprecedented operational challenges (such as surge-capacity demands and infection-control requirements) that disturbed the equilibrium of healthcare work systems worldwide. Physical environments can play a pivotal role in mitigating or exacerbating these challenges.PurposeThis article aims to strengthen healthcare-system resilience in future pandemics by synthesizing the findings of existing literature to identify environmental factors that supported or hindered healthcare work systems during the COVID-19 pandemic.MethodsWe conducted a systematic search of the CINAHL, MEDLINE, PubMed, and ScienceDirect databases and complemented this search with handsearching. We included studies if they addressed the COVID-19 pandemic, focused on physical healthcare environments, and were published in English in peer-reviewed journals. With a focus on environmental influences, we deductively coded the findings using components of the Systems Engineering Initiative for Patient Safety (SEIPS) model.ResultsForty-two studies met the inclusion criteria. The analysis revealed six major operational challenges: (1) surge capacity, (2) infection control, (3) increased risk of errors, (4) rethinking of care models, (5) financial losses, and (6) the pandemic's adverse psychological impacts on staff and patients. The article documents environmental factors that influenced either the overall healthcare work system or its individual components during the COVID-19 pandemic. We identified three overarching roles for these environmental factors: they served as barriers, solutions, or facilitators.ConclusionsUsing the SEIPS framework can enable well-orchestrated pandemic-response planning by guiding the creation of design strategies that will strengthen resilience, flexibility, and safety in future health crises.
Additional Links: PMID-42461075
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@article {pmid42461075,
year = {2026},
author = {Hashemi, S and Pati, D},
title = {Healthcare Design for Pandemic Resilience: A Systems Thinking Approach.},
journal = {HERD},
volume = {19},
number = {4},
pages = {256-276},
doi = {10.1177/19375867261466289},
pmid = {42461075},
issn = {2167-5112},
mesh = {Humans ; *COVID-19/epidemiology/prevention & control ; Systems Analysis ; Infection Control/organization & administration ; Pandemics ; SARS-CoV-2 ; Pandemic Preparedness ; Surge Capacity/organization & administration ; *Delivery of Health Care/organization & administration ; *Hospital Design and Construction ; Patient Safety ; },
abstract = {BackgroundThe COVID-19 pandemic created unprecedented operational challenges (such as surge-capacity demands and infection-control requirements) that disturbed the equilibrium of healthcare work systems worldwide. Physical environments can play a pivotal role in mitigating or exacerbating these challenges.PurposeThis article aims to strengthen healthcare-system resilience in future pandemics by synthesizing the findings of existing literature to identify environmental factors that supported or hindered healthcare work systems during the COVID-19 pandemic.MethodsWe conducted a systematic search of the CINAHL, MEDLINE, PubMed, and ScienceDirect databases and complemented this search with handsearching. We included studies if they addressed the COVID-19 pandemic, focused on physical healthcare environments, and were published in English in peer-reviewed journals. With a focus on environmental influences, we deductively coded the findings using components of the Systems Engineering Initiative for Patient Safety (SEIPS) model.ResultsForty-two studies met the inclusion criteria. The analysis revealed six major operational challenges: (1) surge capacity, (2) infection control, (3) increased risk of errors, (4) rethinking of care models, (5) financial losses, and (6) the pandemic's adverse psychological impacts on staff and patients. The article documents environmental factors that influenced either the overall healthcare work system or its individual components during the COVID-19 pandemic. We identified three overarching roles for these environmental factors: they served as barriers, solutions, or facilitators.ConclusionsUsing the SEIPS framework can enable well-orchestrated pandemic-response planning by guiding the creation of design strategies that will strengthen resilience, flexibility, and safety in future health crises.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*COVID-19/epidemiology/prevention & control
Systems Analysis
Infection Control/organization & administration
Pandemics
SARS-CoV-2
Pandemic Preparedness
Surge Capacity/organization & administration
*Delivery of Health Care/organization & administration
*Hospital Design and Construction
Patient Safety
RevDate: 2026-10-19
CmpDate: 2026-10-19
The Role of Artificial Intelligence and Machine Learning in Predictive Virology: Forecasting, Tracking, and Combating Viral Threats.
Vector borne and zoonotic diseases (Larchmont, N.Y.), 26(12):733-755.
The escalating threat of viral pandemics, dramatically illustrated by the COVID-19 crisis, has exposed the critical shortcomings of conventional reactive virology in addressing rapidly evolving pathogens. This review introduces predictive virology (PV) as an artificial intelligence (AI)-driven discipline within broader epidemic intelligence and public health surveillance that uses advanced computational tools to forecast viral threats and accelerate countermeasure design. The current review systematically examines how AI-driven approaches (e.g., machine learning and deep learning) are reshaping virology by integrating vast genomic datasets, multimodal surveillance signals, and advanced computational models to anticipate viral emergence and evolution before widespread transmission occurs. Core pillars of PV discussed include zero-shot mutational fitness and antigenic escape prediction using large protein language models; multimodal early-warning systems that fuse wastewater monitoring, digital epidemiology, mobility data, and social media; neural differential equation-based transmission modeling; generative AI for de novo design of broad-spectrum antivirals and vaccines; and ecological risk assessment of zoonotic spillovers. In retrospective benchmarks against deep mutational scanning experiments and real-world epidemiological outcomes (SARS-CoV-2 variants, influenza, and other outbreaks), several AI-powered tools have demonstrated performance comparable to or exceeding traditional methods, although prospective validation at scale remains limited. Despite remarkable progress, significant challenges persist, including data bias, overfitting to historical patterns, lack of prospective validation, and limited generalizability across settings. In addition, there are concerns about mechanistic interpretability, equitable global data integration, and responsible deployment. This review also critically addresses the ethical, governance, and equity implications of deploying predictive capabilities at a global scale. By consolidating cutting-edge AI methodologies with virological insights and acknowledging current limitations, this work provides a comprehensive framework for transitioning virology from a reactive to a truly predictive discipline, ultimately strengthening global health security and pandemic preparedness.
Additional Links: PMID-42461270
Publisher:
PubMed:
Citation:
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@article {pmid42461270,
year = {2026},
author = {Farrag, MA},
title = {The Role of Artificial Intelligence and Machine Learning in Predictive Virology: Forecasting, Tracking, and Combating Viral Threats.},
journal = {Vector borne and zoonotic diseases (Larchmont, N.Y.)},
volume = {26},
number = {12},
pages = {733-755},
doi = {10.1177/15303667261469037},
pmid = {42461270},
issn = {1557-7759},
mesh = {*Artificial Intelligence ; Humans ; *Machine Learning ; Forecasting ; *Virology/methods ; Animals ; Predictive Learning Models ; *COVID-19/epidemiology/prevention & control ; Prediction Algorithms ; *Virus Diseases/epidemiology/prevention & control ; },
abstract = {The escalating threat of viral pandemics, dramatically illustrated by the COVID-19 crisis, has exposed the critical shortcomings of conventional reactive virology in addressing rapidly evolving pathogens. This review introduces predictive virology (PV) as an artificial intelligence (AI)-driven discipline within broader epidemic intelligence and public health surveillance that uses advanced computational tools to forecast viral threats and accelerate countermeasure design. The current review systematically examines how AI-driven approaches (e.g., machine learning and deep learning) are reshaping virology by integrating vast genomic datasets, multimodal surveillance signals, and advanced computational models to anticipate viral emergence and evolution before widespread transmission occurs. Core pillars of PV discussed include zero-shot mutational fitness and antigenic escape prediction using large protein language models; multimodal early-warning systems that fuse wastewater monitoring, digital epidemiology, mobility data, and social media; neural differential equation-based transmission modeling; generative AI for de novo design of broad-spectrum antivirals and vaccines; and ecological risk assessment of zoonotic spillovers. In retrospective benchmarks against deep mutational scanning experiments and real-world epidemiological outcomes (SARS-CoV-2 variants, influenza, and other outbreaks), several AI-powered tools have demonstrated performance comparable to or exceeding traditional methods, although prospective validation at scale remains limited. Despite remarkable progress, significant challenges persist, including data bias, overfitting to historical patterns, lack of prospective validation, and limited generalizability across settings. In addition, there are concerns about mechanistic interpretability, equitable global data integration, and responsible deployment. This review also critically addresses the ethical, governance, and equity implications of deploying predictive capabilities at a global scale. By consolidating cutting-edge AI methodologies with virological insights and acknowledging current limitations, this work provides a comprehensive framework for transitioning virology from a reactive to a truly predictive discipline, ultimately strengthening global health security and pandemic preparedness.},
}
MeSH Terms:
show MeSH Terms
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*Artificial Intelligence
Humans
*Machine Learning
Forecasting
*Virology/methods
Animals
Predictive Learning Models
*COVID-19/epidemiology/prevention & control
Prediction Algorithms
*Virus Diseases/epidemiology/prevention & control
RevDate: 2026-07-30
CmpDate: 2026-07-16
Disaster preparedness for vulnerable populations during a pandemic: Part 1: Pandemics: Overview, history, and vulnerability for a pandemic.
American journal of disaster medicine, 21(2):109-118.
OBJECTIVE: To provide an overview of the literature on disaster preparedness regarding surge capacity, with a particular focus on vulnerable populations during a pandemic.
DESIGN: The Disaster Preparedness and Response Committee of the American College of Emergency Physicians addressed the topic of vulnerable populations during a pandemic. A workgroup of nine physicians with academic and/or disaster deployment experience was formed. A literature review focused on individuals with access and functional needs, also referred to as special healthcare needs (SHCNs) or vulnerable individuals, was performed. Search terms included pandemic, public health emergency of international concern, disaster, COVID-19, vulnerable population, individuals with access and functional needs, special healthcare needs (SHCN), surge capacity, and CMIST (communications, medical care, independence, supervision, and transportation). Search strategies included medical sources such as PubMed, Medline, Google Scholar, ScienceDirect, Scopus, and the Cochrane Database of Systematic Reviews. Reviews were performed by a librarian. In addition, relevant articles from the bibliographies of included studies and more recent articles identified by committee members were included. The workgroup evaluated the literature and identified issues regarding surge capacity occurring during a pandemic that particularly impacted the SHCN population. Potential solutions were identified.
RESULTS: Vulnerable individuals are at greater risk during a pandemic than the general population, although potential solutions to mitigate the impact of a pandemic on vulnerable individuals are possible.
CONCLUSIONS: Although pandemics can have significant adverse effects on the general population, vulnerable individuals have the greatest morbidity and mortality and are at greatest risk. Efforts are warranted to better address the negative impact of a pandemic, not just for the general population, but also for individuals with access and functional needs, and to find solutions that can help mitigate the consequences of a pandemic.
Additional Links: PMID-42461676
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PubMed:
Citation:
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@article {pmid42461676,
year = {2026},
author = {Mace, SE and Doyle, CJ and Biddinger, PD and Bradin, S and Burdash, S and Lefort, R and Noll, S and Moriber, MR and Cornelius, A},
title = {Disaster preparedness for vulnerable populations during a pandemic: Part 1: Pandemics: Overview, history, and vulnerability for a pandemic.},
journal = {American journal of disaster medicine},
volume = {21},
number = {2},
pages = {109-118},
doi = {10.5055/ajdm.0531},
pmid = {42461676},
issn = {1932-149X},
mesh = {Humans ; *Vulnerable Populations ; *Pandemics/history ; COVID-19/epidemiology ; *Disaster Planning/organization & administration ; Pandemic Preparedness ; SARS-CoV-2 ; *Surge Capacity/organization & administration ; United States ; },
abstract = {OBJECTIVE: To provide an overview of the literature on disaster preparedness regarding surge capacity, with a particular focus on vulnerable populations during a pandemic.
DESIGN: The Disaster Preparedness and Response Committee of the American College of Emergency Physicians addressed the topic of vulnerable populations during a pandemic. A workgroup of nine physicians with academic and/or disaster deployment experience was formed. A literature review focused on individuals with access and functional needs, also referred to as special healthcare needs (SHCNs) or vulnerable individuals, was performed. Search terms included pandemic, public health emergency of international concern, disaster, COVID-19, vulnerable population, individuals with access and functional needs, special healthcare needs (SHCN), surge capacity, and CMIST (communications, medical care, independence, supervision, and transportation). Search strategies included medical sources such as PubMed, Medline, Google Scholar, ScienceDirect, Scopus, and the Cochrane Database of Systematic Reviews. Reviews were performed by a librarian. In addition, relevant articles from the bibliographies of included studies and more recent articles identified by committee members were included. The workgroup evaluated the literature and identified issues regarding surge capacity occurring during a pandemic that particularly impacted the SHCN population. Potential solutions were identified.
RESULTS: Vulnerable individuals are at greater risk during a pandemic than the general population, although potential solutions to mitigate the impact of a pandemic on vulnerable individuals are possible.
CONCLUSIONS: Although pandemics can have significant adverse effects on the general population, vulnerable individuals have the greatest morbidity and mortality and are at greatest risk. Efforts are warranted to better address the negative impact of a pandemic, not just for the general population, but also for individuals with access and functional needs, and to find solutions that can help mitigate the consequences of a pandemic.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Vulnerable Populations
*Pandemics/history
COVID-19/epidemiology
*Disaster Planning/organization & administration
Pandemic Preparedness
SARS-CoV-2
*Surge Capacity/organization & administration
United States
RevDate: 2026-08-17
CmpDate: 2026-07-16
Disaster preparedness for vulnerable populations during a pandemic: Part 2: The origins of a pandemic: Emerging infectious diseases, bioterrorism, and laboratory accidents.
American journal of disaster medicine, 21(2):119-131.
OBJECTIVE: To provide an overview of the literature on disaster preparedness regarding surge capacity with a particular focus on vulnerable populations during a pandemic.
DESIGN: The Disaster Preparedness and Response Committee of the American College of Emergency Physicians addressed the topic of vulnerable populations during a pandemic. A workgroup of nine physicians with academic and/or disaster deployment experience was formed. A literature review focused on individuals with access and functional needs, also referred to as special healthcare needs (SHCN) or vulnerable individuals, was performed. Search terms included pandemic, public health emergency of international concern (PHEIC), disaster, COVID-19, vulnerable population, individuals with access and functional needs, special health care needs (SHCN), surge capacity, and CMIST (communications, medical care, independence, supervision, and transportation). Search strategies included medical sources such as PubMed, Medline, Google Scholar, ScienceDirect, Scopus, and the Cochrane Database of Systematic Reviews. Reviews were performed by a librarian. In addition, relevant articles from the bibliographies of included studies and more recent articles identified by committee members were included. The workgroup evaluated the literature and identified issues regarding surge capacity occurring during a pandemic that particularly impacted the SHCN population. Potential solutions were identified.
RESULTS: Vulnerable individuals are at greater risk during a pandemic than the general population, although potential solutions to mitigate the impact of a pandemic on vulnerable individuals are -possible.
CONCLUSIONS: Although pandemics can have significant adverse effects on the general population, vulnerable individuals have the greatest morbidity and mortality and are at the greatest risk. Efforts are warranted to better address the negative impact of a pandemic, not just for the general population but also for individuals with access and functional needs, and to find solutions that can help mitigate the consequences of a pandemic.
Additional Links: PMID-42461677
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@article {pmid42461677,
year = {2026},
author = {Mace, SE and Doyle, CJ and Biddinger, PD and Bradin, S and Burdash, S and Lefort, R and Noll, S and Moriber, MR and Cornelius, A},
title = {Disaster preparedness for vulnerable populations during a pandemic: Part 2: The origins of a pandemic: Emerging infectious diseases, bioterrorism, and laboratory accidents.},
journal = {American journal of disaster medicine},
volume = {21},
number = {2},
pages = {119-131},
doi = {10.5055/ajdm.0527},
pmid = {42461677},
issn = {1932-149X},
mesh = {Humans ; *Vulnerable Populations ; *Pandemics ; *Bioterrorism ; *Disaster Planning/organization & administration ; COVID-19 ; *Communicable Diseases, Emerging/epidemiology ; Surge Capacity/organization & administration ; Pandemic Preparedness ; SARS-CoV-2 ; },
abstract = {OBJECTIVE: To provide an overview of the literature on disaster preparedness regarding surge capacity with a particular focus on vulnerable populations during a pandemic.
DESIGN: The Disaster Preparedness and Response Committee of the American College of Emergency Physicians addressed the topic of vulnerable populations during a pandemic. A workgroup of nine physicians with academic and/or disaster deployment experience was formed. A literature review focused on individuals with access and functional needs, also referred to as special healthcare needs (SHCN) or vulnerable individuals, was performed. Search terms included pandemic, public health emergency of international concern (PHEIC), disaster, COVID-19, vulnerable population, individuals with access and functional needs, special health care needs (SHCN), surge capacity, and CMIST (communications, medical care, independence, supervision, and transportation). Search strategies included medical sources such as PubMed, Medline, Google Scholar, ScienceDirect, Scopus, and the Cochrane Database of Systematic Reviews. Reviews were performed by a librarian. In addition, relevant articles from the bibliographies of included studies and more recent articles identified by committee members were included. The workgroup evaluated the literature and identified issues regarding surge capacity occurring during a pandemic that particularly impacted the SHCN population. Potential solutions were identified.
RESULTS: Vulnerable individuals are at greater risk during a pandemic than the general population, although potential solutions to mitigate the impact of a pandemic on vulnerable individuals are -possible.
CONCLUSIONS: Although pandemics can have significant adverse effects on the general population, vulnerable individuals have the greatest morbidity and mortality and are at the greatest risk. Efforts are warranted to better address the negative impact of a pandemic, not just for the general population but also for individuals with access and functional needs, and to find solutions that can help mitigate the consequences of a pandemic.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Vulnerable Populations
*Pandemics
*Bioterrorism
*Disaster Planning/organization & administration
COVID-19
*Communicable Diseases, Emerging/epidemiology
Surge Capacity/organization & administration
Pandemic Preparedness
SARS-CoV-2
RevDate: 2026-07-30
CmpDate: 2026-07-16
Disaster preparedness for vulnerable populations during a pandemic: Part 3: Surge capacity and communications in a pandemic.
American journal of disaster medicine, 21(2):133-148.
OBJECTIVE: To provide an overview of the literature on disaster preparedness regarding surge capacity with a particular focus on vulnerable populations during a pandemic.
DESIGN: The Disaster Preparedness and Response Committee of the American College of Emergency Physicians addressed the topic of vulnerable populations during a pandemic. A workgroup of nine physicians with academic and/or disaster deployment experience was formed. A literature review focused on individuals with access and functional needs, also referred to as special healthcare needs (SHCN) or vulnerable individuals, was performed. Search terms included pandemic, public health emergency of international concern (PHEIC), disaster, COVID-19, vulnerable population, individuals with access and functional needs, special health care needs (SHCN), surge capacity, and communications, medical care, independence, supervision, and transportation (CMIST). Search strategies included medical sources such as PubMed, Medline, Google Scholar, ScienceDirect, Scopus, and the Cochrane Database of Systematic Reviews. Reviews were performed by a librarian. In addition, relevant articles from the bibliographies of included studies and more recent articles identified by committee members were included. The workgroup evaluated the literature and identified issues regarding surge capacity occurring during a pandemic that particularly impacted the SHCN population. Potential solutions were identified.
RESULTS: Vulnerable individuals are at greater risk during a pandemic than the general population, although potential solutions to mitigate the impact of a pandemic on vulnerable individuals are possible.
CONCLUSIONS: Although pandemics can have significant adverse effects on the general population, vulnerable individuals have the greatest morbidity and mortality and are at the greatest risk. Efforts are warranted to better address the negative impact of a pandemic, not just for the general population but also for individuals with access and functional needs, and to find solutions that can help mitigate the consequences of a pandemic.
Additional Links: PMID-42461678
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PubMed:
Citation:
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@article {pmid42461678,
year = {2026},
author = {Mace, SE and Doyle, CJ and Biddinger, PD and Bradin, S and Burdash, S and Lefort, R and Noll, S and Moriber, MR and Cornelius, A},
title = {Disaster preparedness for vulnerable populations during a pandemic: Part 3: Surge capacity and communications in a pandemic.},
journal = {American journal of disaster medicine},
volume = {21},
number = {2},
pages = {133-148},
doi = {10.5055/ajdm.0525},
pmid = {42461678},
issn = {1932-149X},
mesh = {Humans ; *Vulnerable Populations ; *Pandemics ; *Surge Capacity/organization & administration ; COVID-19/epidemiology ; *Disaster Planning/organization & administration ; Pandemic Preparedness ; SARS-CoV-2 ; United States ; },
abstract = {OBJECTIVE: To provide an overview of the literature on disaster preparedness regarding surge capacity with a particular focus on vulnerable populations during a pandemic.
DESIGN: The Disaster Preparedness and Response Committee of the American College of Emergency Physicians addressed the topic of vulnerable populations during a pandemic. A workgroup of nine physicians with academic and/or disaster deployment experience was formed. A literature review focused on individuals with access and functional needs, also referred to as special healthcare needs (SHCN) or vulnerable individuals, was performed. Search terms included pandemic, public health emergency of international concern (PHEIC), disaster, COVID-19, vulnerable population, individuals with access and functional needs, special health care needs (SHCN), surge capacity, and communications, medical care, independence, supervision, and transportation (CMIST). Search strategies included medical sources such as PubMed, Medline, Google Scholar, ScienceDirect, Scopus, and the Cochrane Database of Systematic Reviews. Reviews were performed by a librarian. In addition, relevant articles from the bibliographies of included studies and more recent articles identified by committee members were included. The workgroup evaluated the literature and identified issues regarding surge capacity occurring during a pandemic that particularly impacted the SHCN population. Potential solutions were identified.
RESULTS: Vulnerable individuals are at greater risk during a pandemic than the general population, although potential solutions to mitigate the impact of a pandemic on vulnerable individuals are possible.
CONCLUSIONS: Although pandemics can have significant adverse effects on the general population, vulnerable individuals have the greatest morbidity and mortality and are at the greatest risk. Efforts are warranted to better address the negative impact of a pandemic, not just for the general population but also for individuals with access and functional needs, and to find solutions that can help mitigate the consequences of a pandemic.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Vulnerable Populations
*Pandemics
*Surge Capacity/organization & administration
COVID-19/epidemiology
*Disaster Planning/organization & administration
Pandemic Preparedness
SARS-CoV-2
United States
RevDate: 2026-07-16
CmpDate: 2026-07-16
Disaster preparedness for vulnerable populations during a pandemic: Part 4: Pandemics: Planning for those with access and functional needs in a pandemic.
American journal of disaster medicine, 21(2):149-159.
OBJECTIVE: To provide an overview of the literature on disaster preparedness regarding surge capacity with a particular focus on vulnerable populations during a pandemic.
DESIGN: The Disaster Preparedness and Response Committee of the American College of Emergency Physicians addressed the topic of vulnerable populations during a pandemic. A workgroup of nine physicians with academic and/or disaster deployment experience was formed. A literature review focused on individuals with access and functional needs, also referred to as special healthcare needs (SHCN) or vulnerable individuals, was performed. Search terms included pandemic, public health emergency of international concern (PHEIC), disaster, vulnerable population, individuals with access and functional needs, special health care needs (SHCN), surge capacity, and communications, medical care, independence, supervision, and transportation (CMIST). Search strategies included medical sources such as PubMed, Medline, Google Scholar, ScienceDirect, Scopus, and the Cochrane Database of Systematic Reviews. Reviews were performed by a librarian. In addition, relevant articles from the bibliographies of included studies and more recent articles identified by committee members were included. The workgroup evaluated the literature and identified issues regarding surge capacity occurring during a pandemic that particularly impacted the SHCN population. Potential solutions were identified.
RESULTS: Vulnerable individuals are at greater risk during a pandemic than the general population, although potential solutions to mitigate the impact of a pandemic on vulnerable individuals are possible.
CONCLUSIONS: Although pandemics can have significant adverse effects on the general population, vulnerable individuals have the greatest morbidity and mortality and are at the greatest risk. Efforts are warranted to better address the negative impact of a pandemic, not just for the general population but also for individuals with access and functional needs, and to find solutions that can help mitigate the consequences of a pandemic.
Additional Links: PMID-42461679
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PubMed:
Citation:
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@article {pmid42461679,
year = {2026},
author = {Mace, SE and Doyle, CJ and Biddinger, PD and Bradin, S and Burdash, S and Lefort, R and Noll, S and Moriber, MR and Cornelius, A},
title = {Disaster preparedness for vulnerable populations during a pandemic: Part 4: Pandemics: Planning for those with access and functional needs in a pandemic.},
journal = {American journal of disaster medicine},
volume = {21},
number = {2},
pages = {149-159},
doi = {10.5055/ajdm.0526},
pmid = {42461679},
issn = {1932-149X},
mesh = {Humans ; *Vulnerable Populations ; *Disaster Planning/organization & administration ; *Pandemics ; *Surge Capacity/organization & administration ; *Health Services Accessibility ; Pandemic Preparedness ; COVID-19/epidemiology ; Health Services Needs and Demand ; },
abstract = {OBJECTIVE: To provide an overview of the literature on disaster preparedness regarding surge capacity with a particular focus on vulnerable populations during a pandemic.
DESIGN: The Disaster Preparedness and Response Committee of the American College of Emergency Physicians addressed the topic of vulnerable populations during a pandemic. A workgroup of nine physicians with academic and/or disaster deployment experience was formed. A literature review focused on individuals with access and functional needs, also referred to as special healthcare needs (SHCN) or vulnerable individuals, was performed. Search terms included pandemic, public health emergency of international concern (PHEIC), disaster, vulnerable population, individuals with access and functional needs, special health care needs (SHCN), surge capacity, and communications, medical care, independence, supervision, and transportation (CMIST). Search strategies included medical sources such as PubMed, Medline, Google Scholar, ScienceDirect, Scopus, and the Cochrane Database of Systematic Reviews. Reviews were performed by a librarian. In addition, relevant articles from the bibliographies of included studies and more recent articles identified by committee members were included. The workgroup evaluated the literature and identified issues regarding surge capacity occurring during a pandemic that particularly impacted the SHCN population. Potential solutions were identified.
RESULTS: Vulnerable individuals are at greater risk during a pandemic than the general population, although potential solutions to mitigate the impact of a pandemic on vulnerable individuals are possible.
CONCLUSIONS: Although pandemics can have significant adverse effects on the general population, vulnerable individuals have the greatest morbidity and mortality and are at the greatest risk. Efforts are warranted to better address the negative impact of a pandemic, not just for the general population but also for individuals with access and functional needs, and to find solutions that can help mitigate the consequences of a pandemic.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Vulnerable Populations
*Disaster Planning/organization & administration
*Pandemics
*Surge Capacity/organization & administration
*Health Services Accessibility
Pandemic Preparedness
COVID-19/epidemiology
Health Services Needs and Demand
RevDate: 2026-08-18
Community-Acquired CNS Infections in Western Asia (2010-2025): A Systematic Review.
Neuroepidemiology pii:000553536 [Epub ahead of print].
BACKGROUND: This systematic review aimed to summarize the epidemiology, etiology, diagnostic challenges, antimicrobial resistance, and clinical outcomes of community-acquired central nervous system (CNS) infections in Western Asian countries.
METHODS: A systematic search of PubMed was conducted for studies published from January 2010 to July 2025. Eligible studies included original research and case reports on CNS infections, while unrelated studies or studies outside the region were excluded. Data were extracted and synthesized narratively by pathogen group. Risk of bias was assessed based on study design, sample size, and methodological quality.
RESULTS: Of 1,790 retrieved articles, 450 studies met the inclusion criteria, including case reports and observational studies across neonates, children, and adults. Streptococcus pneumoniae and Neisseria meningitidis were the most common bacterial pathogens; Listeria monocytogenes and multidrug-resistant Gram-negative organisms were notable. Among viral pathogens, Enteroviruses, herpes simplex virus type 1, and West Nile virus predominated, with increasing reports of post-COVID-19 autoimmune encephalitis. Tuberculous meningitis and neurobrucellosis remained significant causes of chronic CNS infections in endemic areas. Pneumococcal penicillin resistance exceeded 40% in some countries. Molecular diagnostic capacity and surveillance were limited.
LIMITATIONS: Evidence was limited by heterogeneity in study design, regional data gaps, and variable reporting of antimicrobial resistance, which may affect the comprehensiveness of the review.
CONCLUSIONS: Community-acquired CNS infections continue to impose a substantial health burden in Western Asia. Expanded vaccination, improved molecular diagnostics, strengthened surveillance, and regional antimicrobial resistance monitoring are essential to reduce preventable mortality and long-term neurological sequelae.
Additional Links: PMID-42461883
Publisher:
PubMed:
Citation:
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@article {pmid42461883,
year = {2026},
author = {Sheybani, F and Haddad, M},
title = {Community-Acquired CNS Infections in Western Asia (2010-2025): A Systematic Review.},
journal = {Neuroepidemiology},
volume = {},
number = {},
pages = {1-16},
doi = {10.1159/000553536},
pmid = {42461883},
issn = {1423-0208},
abstract = {BACKGROUND: This systematic review aimed to summarize the epidemiology, etiology, diagnostic challenges, antimicrobial resistance, and clinical outcomes of community-acquired central nervous system (CNS) infections in Western Asian countries.
METHODS: A systematic search of PubMed was conducted for studies published from January 2010 to July 2025. Eligible studies included original research and case reports on CNS infections, while unrelated studies or studies outside the region were excluded. Data were extracted and synthesized narratively by pathogen group. Risk of bias was assessed based on study design, sample size, and methodological quality.
RESULTS: Of 1,790 retrieved articles, 450 studies met the inclusion criteria, including case reports and observational studies across neonates, children, and adults. Streptococcus pneumoniae and Neisseria meningitidis were the most common bacterial pathogens; Listeria monocytogenes and multidrug-resistant Gram-negative organisms were notable. Among viral pathogens, Enteroviruses, herpes simplex virus type 1, and West Nile virus predominated, with increasing reports of post-COVID-19 autoimmune encephalitis. Tuberculous meningitis and neurobrucellosis remained significant causes of chronic CNS infections in endemic areas. Pneumococcal penicillin resistance exceeded 40% in some countries. Molecular diagnostic capacity and surveillance were limited.
LIMITATIONS: Evidence was limited by heterogeneity in study design, regional data gaps, and variable reporting of antimicrobial resistance, which may affect the comprehensiveness of the review.
CONCLUSIONS: Community-acquired CNS infections continue to impose a substantial health burden in Western Asia. Expanded vaccination, improved molecular diagnostics, strengthened surveillance, and regional antimicrobial resistance monitoring are essential to reduce preventable mortality and long-term neurological sequelae.},
}
RevDate: 2026-08-17
CmpDate: 2026-08-17
Pleiotropic effects of direct oral anticoagulants on the coagulation-inflammation-endothelium axis: A phenotype-stratified narrative review.
Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie, 202:119768.
AIMS: Direct oral anticoagulants (DOACs) - dabigatran (a thrombin inhibitor) and rivaroxaban, apixaban, and edoxaban (factor Xa [FXa] inhibitors) - modify oxidative stress, endothelial inflammation, and barrier integrity beyond anticoagulation. We ask whether this reflects distinct pharmacology or silencing of proteases at protease-activated receptors (PARs), and propose a three-condition framework for when it becomes clinically measurable.
METHODS: Narrative review (PubMed, Scopus, Web of Science; primary search 2019-2026, with foundational earlier references retained) with claims graded on a six-tier hierarchy; A‡ marks trials formally negative or inconclusive owing to insufficient statistical power.
RESULTS: DOAC effects largely converge on one node - reduced PAR-1 signalling under thrombin inhibition and dual PAR-1/PAR-2 blockade under FXa inhibition - rather than independent targets; the FXa-PAR-2 axis is cross-validated across macrophages, liver sinusoidal endothelial cells, and neutrophils; and dabigatran plausibly differs qualitatively rather than only in degree - a working hypothesis whose mechanistic linchpin (residual exosite-I signalling) currently rests on a single unreplicated in-vitro study (level D). Clinically the signal sorts by phenotype and disease phase, not class: low-dose rivaroxaban benefits stable atherosclerosis (COMPASS) but not heart failure in sinus rhythm (COMMANDER-HF), and COVID-19 benefit appears only in convalescence (MICHELLE), not acutely or in outpatients (ACTIV-4B, A‡). A nationwide cohort linked DOACs to lower acute kidney injury and chronic kidney disease progression than vitamin K antagonists, pending separation from their nephrotoxicity.
CONCLUSIONS: Pleiotropy emerges where three conditions coincide - the protease is available at PARs, its generation is chronic, and PAR signalling is rate-limiting. This supports within-indication molecule selection (selection, not extension) and biomarker co-primary trials, not extension of indications.
Additional Links: PMID-42462434
Publisher:
PubMed:
Citation:
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@article {pmid42462434,
year = {2026},
author = {Wołowiec, Ł and Wesołowska, W and Skibicka, K and Jaśniak, A and Banach, J and Osiak, J and Wołowiec, A and Skibicki, T and Grześk, G},
title = {Pleiotropic effects of direct oral anticoagulants on the coagulation-inflammation-endothelium axis: A phenotype-stratified narrative review.},
journal = {Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie},
volume = {202},
number = {},
pages = {119768},
doi = {10.1016/j.biopha.2026.119768},
pmid = {42462434},
issn = {1950-6007},
mesh = {Humans ; *Blood Coagulation/drug effects ; *Inflammation/drug therapy/metabolism ; Animals ; Phenotype ; Administration, Oral ; *Anticoagulants/pharmacology/administration & dosage ; Factor Xa Inhibitors/pharmacology/administration & dosage ; *Endothelium, Vascular/drug effects/metabolism ; },
abstract = {AIMS: Direct oral anticoagulants (DOACs) - dabigatran (a thrombin inhibitor) and rivaroxaban, apixaban, and edoxaban (factor Xa [FXa] inhibitors) - modify oxidative stress, endothelial inflammation, and barrier integrity beyond anticoagulation. We ask whether this reflects distinct pharmacology or silencing of proteases at protease-activated receptors (PARs), and propose a three-condition framework for when it becomes clinically measurable.
METHODS: Narrative review (PubMed, Scopus, Web of Science; primary search 2019-2026, with foundational earlier references retained) with claims graded on a six-tier hierarchy; A‡ marks trials formally negative or inconclusive owing to insufficient statistical power.
RESULTS: DOAC effects largely converge on one node - reduced PAR-1 signalling under thrombin inhibition and dual PAR-1/PAR-2 blockade under FXa inhibition - rather than independent targets; the FXa-PAR-2 axis is cross-validated across macrophages, liver sinusoidal endothelial cells, and neutrophils; and dabigatran plausibly differs qualitatively rather than only in degree - a working hypothesis whose mechanistic linchpin (residual exosite-I signalling) currently rests on a single unreplicated in-vitro study (level D). Clinically the signal sorts by phenotype and disease phase, not class: low-dose rivaroxaban benefits stable atherosclerosis (COMPASS) but not heart failure in sinus rhythm (COMMANDER-HF), and COVID-19 benefit appears only in convalescence (MICHELLE), not acutely or in outpatients (ACTIV-4B, A‡). A nationwide cohort linked DOACs to lower acute kidney injury and chronic kidney disease progression than vitamin K antagonists, pending separation from their nephrotoxicity.
CONCLUSIONS: Pleiotropy emerges where three conditions coincide - the protease is available at PARs, its generation is chronic, and PAR signalling is rate-limiting. This supports within-indication molecule selection (selection, not extension) and biomarker co-primary trials, not extension of indications.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Blood Coagulation/drug effects
*Inflammation/drug therapy/metabolism
Animals
Phenotype
Administration, Oral
*Anticoagulants/pharmacology/administration & dosage
Factor Xa Inhibitors/pharmacology/administration & dosage
*Endothelium, Vascular/drug effects/metabolism
RevDate: 2026-08-04
CmpDate: 2026-08-04
Dual-targeting cancer and SARS-CoV-2: The host-directed mechanisms of Spatholobus suberectus Dunn (Jixueteng).
Phytomedicine : international journal of phytotherapy and phytopharmacology, 159:158560.
BACKGROUND: Spatholobus suberectus Dunn (SSD), known in traditional Chinese medicine as Jixueteng, has historically been used to treat conditions characterized by blood stasis. Modern research has validated its anticancer potential. Recent studies reveal broad-spectrum antiviral activity.
PURPOSE: This review synthesizes these two research frontiers. It proposes a unified host-directed therapy paradigm as the core mechanism underlying SSD's dual therapeutic capability.
METHODS: A comprehensive analysis of peer-reviewed literature was conducted. This included phytochemical studies, in vitro and in vivo pharmacological investigations, and computational modeling related to SSD. Emphasis was placed on integrating the latest mechanistic findings on its antiviral action against SARS-CoV-2 with its established anticancer profile.
RESULTS: SSD contains bioactive flavonoids, such as isoliquiritigenin and procyanidins. These compounds enable multi-target interactions with host proteins. In cancer, SSD acts as a host-directed anticancer agent by inhibiting lactate dehydrogenase A, activating AMP-activated protein kinase, inducing apoptosis and pyroptosis, and arresting the cell cycle at the G2/M checkpoint. Against SARS-CoV-2, SSD functions as a direct inhibitor of the host angiotensin-converting enzyme 2 receptor. It blocks viral entry with pan-variant efficacy validated in vivo. The anticancer evidence for SSD is extensive and derived from multiple independent laboratories. The antiviral data are currently more limited. Published studies have identified SSD as active against SARS-CoV-2 and demonstrated that isoliquiritigenin inhibits viral replication via NRF2 activation. Mechanistic ACE2-targeting data remain preliminary. A comparative synthesis reveals that SSD's efficacy in both oncology and virology converges on the modulation of host protein targets. SSD targets dysregulated host enzymes in cancer and a hijacked host receptor in viral infection. This strategy provides a high barrier to therapeutic resistance.
CONCLUSION: SSD represents a promising natural host-directed therapeutic platform. Its dual ability to disrupt cancer cell physiology and inhibit SARS-CoV-2 entry via distinct host targets positions it as a potential template for developing resistance-evasive strategies against complex diseases. Future efforts must focus on isolating the precise ACE2-inhibiting compounds, optimizing disease-specific delivery, and advancing translational studies to realize its clinical potential.
Additional Links: PMID-42462528
Publisher:
PubMed:
Citation:
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@article {pmid42462528,
year = {2026},
author = {Ganesan, K and Chen, J},
title = {Dual-targeting cancer and SARS-CoV-2: The host-directed mechanisms of Spatholobus suberectus Dunn (Jixueteng).},
journal = {Phytomedicine : international journal of phytotherapy and phytopharmacology},
volume = {159},
number = {},
pages = {158560},
doi = {10.1016/j.phymed.2026.158560},
pmid = {42462528},
issn = {1618-095X},
mesh = {Humans ; *SARS-CoV-2/drug effects ; Host-Directed Therapy ; *Fabaceae/chemistry ; *Antiviral Agents/pharmacology ; Animals ; *Drugs, Chinese Herbal/pharmacology/therapeutic use ; *COVID-19 Drug Treatment ; COVID-19 ; *Neoplasms/drug therapy ; *Antineoplastic Agents, Phytogenic/pharmacology ; Antineoplastic Agents/pharmacology ; },
abstract = {BACKGROUND: Spatholobus suberectus Dunn (SSD), known in traditional Chinese medicine as Jixueteng, has historically been used to treat conditions characterized by blood stasis. Modern research has validated its anticancer potential. Recent studies reveal broad-spectrum antiviral activity.
PURPOSE: This review synthesizes these two research frontiers. It proposes a unified host-directed therapy paradigm as the core mechanism underlying SSD's dual therapeutic capability.
METHODS: A comprehensive analysis of peer-reviewed literature was conducted. This included phytochemical studies, in vitro and in vivo pharmacological investigations, and computational modeling related to SSD. Emphasis was placed on integrating the latest mechanistic findings on its antiviral action against SARS-CoV-2 with its established anticancer profile.
RESULTS: SSD contains bioactive flavonoids, such as isoliquiritigenin and procyanidins. These compounds enable multi-target interactions with host proteins. In cancer, SSD acts as a host-directed anticancer agent by inhibiting lactate dehydrogenase A, activating AMP-activated protein kinase, inducing apoptosis and pyroptosis, and arresting the cell cycle at the G2/M checkpoint. Against SARS-CoV-2, SSD functions as a direct inhibitor of the host angiotensin-converting enzyme 2 receptor. It blocks viral entry with pan-variant efficacy validated in vivo. The anticancer evidence for SSD is extensive and derived from multiple independent laboratories. The antiviral data are currently more limited. Published studies have identified SSD as active against SARS-CoV-2 and demonstrated that isoliquiritigenin inhibits viral replication via NRF2 activation. Mechanistic ACE2-targeting data remain preliminary. A comparative synthesis reveals that SSD's efficacy in both oncology and virology converges on the modulation of host protein targets. SSD targets dysregulated host enzymes in cancer and a hijacked host receptor in viral infection. This strategy provides a high barrier to therapeutic resistance.
CONCLUSION: SSD represents a promising natural host-directed therapeutic platform. Its dual ability to disrupt cancer cell physiology and inhibit SARS-CoV-2 entry via distinct host targets positions it as a potential template for developing resistance-evasive strategies against complex diseases. Future efforts must focus on isolating the precise ACE2-inhibiting compounds, optimizing disease-specific delivery, and advancing translational studies to realize its clinical potential.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*SARS-CoV-2/drug effects
Host-Directed Therapy
*Fabaceae/chemistry
*Antiviral Agents/pharmacology
Animals
*Drugs, Chinese Herbal/pharmacology/therapeutic use
*COVID-19 Drug Treatment
COVID-19
*Neoplasms/drug therapy
*Antineoplastic Agents, Phytogenic/pharmacology
Antineoplastic Agents/pharmacology
RevDate: 2026-08-18
CmpDate: 2026-07-17
Effect of low-dose naltrexone for long COVID: a systematic review and meta-analysis.
BMJ open, 16(7):e111253.
OBJECTIVE: Long covid is a debilitating chronic condition, and the effect of low-dose naltrexone (LDN) on its symptoms is unclear. We aimed to determine the effectiveness of LDN on symptoms of long covid.
DESIGN: Systematic review and meta-analysis.
DATA SOURCES: PubMed, Embase and Cochrane Library for published studies; ClinicalTrials.gov and WHO International Clinical Trials Registry Platform (ICTRP) for registered ongoing studies were searched through 5 May 2026.
ELIGIBILITY CRITERIA: We included randomised controlled trials and pre-post studies of patients with long covid reporting on fatigue, quality of life, cognitive symptoms or function and other long covid symptoms.
DATA EXTRACTION AND SYNTHESIS: Two independent reviewers used standardised methods to search, screen and select included studies. Risk of bias was assessed using the Newcastle-Ottawa Scale. Meta-analysis was conducted using random effects models.
RESULTS: Of 397 titles and abstracts screened, no randomised controlled trials were identified. Four observational pre-post studies from the USA and Ireland (n=155) met inclusion criteria. LDN doses varied from 1 mg/day to 6 mg/day. Pooled pre-post analyses showed moderate effects for reducing fatigue (Hedges' g=-0.74; 95% CI -1.11 to -0.37; p<0.001), brain fog (Hedges' g=-0.53; 95% CI -1.01 to -0.05; p=0.03) and improving sleep quality (Hedges' g=-0.60; 95% CI -0.91 to -0.30; p=0.0001), and large effects for pain (Hedges' g=-0.93; 95% CI -1.29 to -0.57; p<0.001) and daily functioning (Hedges' g=-0.93; 95% CI -1.29 to -0.57; p<0.0001) in favour of LDN. Heterogeneity ranged from 0% to 62%. No serious adverse events were reported in the two studies that assessed safety.
CONCLUSION: Limited evidence from small pre-post studies suggests LDN may improve fatigue, cognition, sleep, pain and functioning in long covid. However, certainty of evidence is low. Well-powered trials are needed to confirm efficacy, determine dosing and duration and identify subgroups most likely to benefit.
TRIAL REGISTRATION: https://doi.org/10.17605/OSF.IO/C2VKX.
Additional Links: PMID-42463201
PubMed:
Citation:
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@article {pmid42463201,
year = {2026},
author = {Byambasuren, O and Atkins, T and Baptista, S and Glasziou, P and Chakraborty, S},
title = {Effect of low-dose naltrexone for long COVID: a systematic review and meta-analysis.},
journal = {BMJ open},
volume = {16},
number = {7},
pages = {e111253},
pmid = {42463201},
issn = {2044-6055},
mesh = {Humans ; *COVID-19 Drug Treatment ; Fatigue/drug therapy/etiology ; *Naltrexone/administration & dosage/therapeutic use ; *Narcotic Antagonists/administration & dosage/therapeutic use ; *Post-Acute COVID-19 Syndrome/complications ; Quality of Life ; SARS-CoV-2 ; },
abstract = {OBJECTIVE: Long covid is a debilitating chronic condition, and the effect of low-dose naltrexone (LDN) on its symptoms is unclear. We aimed to determine the effectiveness of LDN on symptoms of long covid.
DESIGN: Systematic review and meta-analysis.
DATA SOURCES: PubMed, Embase and Cochrane Library for published studies; ClinicalTrials.gov and WHO International Clinical Trials Registry Platform (ICTRP) for registered ongoing studies were searched through 5 May 2026.
ELIGIBILITY CRITERIA: We included randomised controlled trials and pre-post studies of patients with long covid reporting on fatigue, quality of life, cognitive symptoms or function and other long covid symptoms.
DATA EXTRACTION AND SYNTHESIS: Two independent reviewers used standardised methods to search, screen and select included studies. Risk of bias was assessed using the Newcastle-Ottawa Scale. Meta-analysis was conducted using random effects models.
RESULTS: Of 397 titles and abstracts screened, no randomised controlled trials were identified. Four observational pre-post studies from the USA and Ireland (n=155) met inclusion criteria. LDN doses varied from 1 mg/day to 6 mg/day. Pooled pre-post analyses showed moderate effects for reducing fatigue (Hedges' g=-0.74; 95% CI -1.11 to -0.37; p<0.001), brain fog (Hedges' g=-0.53; 95% CI -1.01 to -0.05; p=0.03) and improving sleep quality (Hedges' g=-0.60; 95% CI -0.91 to -0.30; p=0.0001), and large effects for pain (Hedges' g=-0.93; 95% CI -1.29 to -0.57; p<0.001) and daily functioning (Hedges' g=-0.93; 95% CI -1.29 to -0.57; p<0.0001) in favour of LDN. Heterogeneity ranged from 0% to 62%. No serious adverse events were reported in the two studies that assessed safety.
CONCLUSION: Limited evidence from small pre-post studies suggests LDN may improve fatigue, cognition, sleep, pain and functioning in long covid. However, certainty of evidence is low. Well-powered trials are needed to confirm efficacy, determine dosing and duration and identify subgroups most likely to benefit.
TRIAL REGISTRATION: https://doi.org/10.17605/OSF.IO/C2VKX.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*COVID-19 Drug Treatment
Fatigue/drug therapy/etiology
*Naltrexone/administration & dosage/therapeutic use
*Narcotic Antagonists/administration & dosage/therapeutic use
*Post-Acute COVID-19 Syndrome/complications
Quality of Life
SARS-CoV-2
RevDate: 2026-10-14
CmpDate: 2026-10-12
Waiting times for primary care appointments among older adults: a scoping review.
BMC public health, 26(1):.
BACKGROUND: Healthcare service waiting times have worsened due to the COVID-19 pandemic, particularly impacting older adults who need timely access to primary care to manage chronic conditions and prevent hospitalizations. This scoping review aims to fill a research gap by examining whether delays in primary care appointments for older adults occurred and, if so, how these delays have affected their access to primary care, with a focus on the role of social determinants of health.
METHODS: Following PRISMA guidelines, a systematic search was conducted across three health databases-MEDLINE (Ovid), CINAHL, and EMBASE-as well as one AI platform (typeset.io). To be included, articles needed to discuss waiting times for primary care appointments, include older adults in their target population, and be published in English since 2014. Non-English articles were excluded due to language proficiency constraints among the review team. The review also examined the impact of social determinants of health on equity in access to care.
RESULTS: This review identified a significant lack of research on primary care waiting times for older adults, with only twelve studies addressing the issue. Findings indicate that prolonged wait times act as a major barrier to accessing timely care, resulting in patient frustration, delayed treatment, and increased reliance on emergency services. The COVID-19 pandemic has exacerbated these challenges, particularly through care interruptions and the shift to virtual care, which is understudied regarding its impact on waiting times.
CONCLUSIONS: Prolonged waiting times for primary care disproportionately affect older adults, exacerbated by age-related health conditions and intersecting social determinants. Healthcare systems must address these barriers and prioritize research into tailored interventions to ensure equitable access to care for older adults.
Additional Links: PMID-42464199
PubMed:
Citation:
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@article {pmid42464199,
year = {2026},
author = {Pham, ANQ and Akram, I and Tiwana, MH and Smith, J},
title = {Waiting times for primary care appointments among older adults: a scoping review.},
journal = {BMC public health},
volume = {26},
number = {1},
pages = {},
pmid = {42464199},
issn = {1471-2458},
mesh = {Aged ; Humans ; Access to Primary Care ; *Appointments and Schedules ; Health Services Accessibility ; Pandemics ; *Primary Health Care ; Social Determinants of Health ; *Waiting Lists ; },
abstract = {BACKGROUND: Healthcare service waiting times have worsened due to the COVID-19 pandemic, particularly impacting older adults who need timely access to primary care to manage chronic conditions and prevent hospitalizations. This scoping review aims to fill a research gap by examining whether delays in primary care appointments for older adults occurred and, if so, how these delays have affected their access to primary care, with a focus on the role of social determinants of health.
METHODS: Following PRISMA guidelines, a systematic search was conducted across three health databases-MEDLINE (Ovid), CINAHL, and EMBASE-as well as one AI platform (typeset.io). To be included, articles needed to discuss waiting times for primary care appointments, include older adults in their target population, and be published in English since 2014. Non-English articles were excluded due to language proficiency constraints among the review team. The review also examined the impact of social determinants of health on equity in access to care.
RESULTS: This review identified a significant lack of research on primary care waiting times for older adults, with only twelve studies addressing the issue. Findings indicate that prolonged wait times act as a major barrier to accessing timely care, resulting in patient frustration, delayed treatment, and increased reliance on emergency services. The COVID-19 pandemic has exacerbated these challenges, particularly through care interruptions and the shift to virtual care, which is understudied regarding its impact on waiting times.
CONCLUSIONS: Prolonged waiting times for primary care disproportionately affect older adults, exacerbated by age-related health conditions and intersecting social determinants. Healthcare systems must address these barriers and prioritize research into tailored interventions to ensure equitable access to care for older adults.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Aged
Humans
Access to Primary Care
*Appointments and Schedules
Health Services Accessibility
Pandemics
*Primary Health Care
Social Determinants of Health
*Waiting Lists
RevDate: 2026-10-01
CmpDate: 2026-07-17
Molecular signaling in coinfection: how M. tuberculosis and respiratory viruses rewire host immunity and alter TB outcomes.
Frontiers in immunology, 17:1863302.
Tuberculosis (TB) caused by Mycobacterium tuberculosis (M. tuberculosis) and respiratory viral infections remain major, intersecting global health challenges, and their co-occurrence imposes a disproportionate burden in high-HIV/high-TB regions such as sub-Saharan Africa. Coinfection biology is heterogeneous and dynamic, driven by viral diversity including severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), influenza A/B, Respiratory Syncytial Virus (RSV), parainfluenza, metapneumovirus, rhinovirus, adenovirus, and bocavirus, and by the underlying TB stage, from latent and subclinical to active and reactivation disease. Innate sensing pathways, such as Toll-like receptors (TLR), retinoic acid-inducible gene I (RIG-I), and cyclic GMP-AMP synthase-stimulator of interferon genes (cGAS-STING), converge during coinfection, reshaping type I interferon (IFN-I), Nuclear Factor kappa-light-chain-enhancer of activated B cells (NF-κB), and AP-1-driven responses and triggering a network of autocrine and paracrine signaling that reprograms macrophages, dendritic cells, and T-cell subsets. This immune rewiring alters granuloma equilibrium through suppressed Th1/IFN-γ coordination, exaggerated Th17/IL-17-driven neutrophilia, and regulatory T-cell or IL-10-mediated dampening, which together destabilize macrophage activation and tissue architecture. Oxidative stress, mitochondrial dysfunction, and Matrix Metalloproteinases (MMP)-driven matrix remodeling further integrate with these pathways, converting inflammatory signals into epithelial damage, cavitation, and fibrosis. Consequently, disease outcomes depend critically on timing, viral burden, pathogen order, host immune endotype, and TB stage, such that the same virus can either preserve containment or drive progression depending on the local immunological context. Importantly, the effects of respiratory viral coinfection vary across the TB disease continuum, influencing early granuloma formation, latent infection, reactivation risk, and established disease through distinct immunological mechanisms. Host-directed therapies (HDT) targeting interferon, IL-1, TNF, inflammasome, or metabolic checkpoints hold mechanistic promise but exhibit variable clinical translation, underscoring the need for precision approaches that integrate stage- and endotype-specific biomarkers. This narrative review proposes an integrated systems framework that links viral sensing, immune rewiring, granuloma biology, and tissue-remodeling to TB-respiratory virus coinfection, and emphasizes how timing-aware, biomarker-guided strategies can refine diagnosis, clinical management, prognosis, and vaccine design in vulnerable populations.
Additional Links: PMID-42465772
PubMed:
Citation:
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@article {pmid42465772,
year = {2026},
author = {Feya, Q and Mkhize-Kwitshana, ZL and Milase, RN and Wadee, A and Naidoo, N and Maiga, M and Senzani, S and Nakiyingi, L and Mvubu, NE},
title = {Molecular signaling in coinfection: how M. tuberculosis and respiratory viruses rewire host immunity and alter TB outcomes.},
journal = {Frontiers in immunology},
volume = {17},
number = {},
pages = {1863302},
pmid = {42465772},
issn = {1664-3224},
support = {D43 CA260658/CA/NCI NIH HHS/United States ; INV-033558//Bill & Melinda Gates Foundation/United States ; R21 AI148033/AI/NIAID NIH HHS/United States ; D43 TW010350/TW/FIC NIH HHS/United States ; /WT_/Wellcome Trust/United Kingdom ; },
mesh = {Humans ; *Coinfection/immunology ; *Mycobacterium tuberculosis/immunology ; Signal Transduction/immunology ; Animals ; *Tuberculosis/immunology ; Immunity, Innate ; Host-Pathogen Interactions/immunology ; *Respiratory Tract Infections/immunology ; },
abstract = {Tuberculosis (TB) caused by Mycobacterium tuberculosis (M. tuberculosis) and respiratory viral infections remain major, intersecting global health challenges, and their co-occurrence imposes a disproportionate burden in high-HIV/high-TB regions such as sub-Saharan Africa. Coinfection biology is heterogeneous and dynamic, driven by viral diversity including severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), influenza A/B, Respiratory Syncytial Virus (RSV), parainfluenza, metapneumovirus, rhinovirus, adenovirus, and bocavirus, and by the underlying TB stage, from latent and subclinical to active and reactivation disease. Innate sensing pathways, such as Toll-like receptors (TLR), retinoic acid-inducible gene I (RIG-I), and cyclic GMP-AMP synthase-stimulator of interferon genes (cGAS-STING), converge during coinfection, reshaping type I interferon (IFN-I), Nuclear Factor kappa-light-chain-enhancer of activated B cells (NF-κB), and AP-1-driven responses and triggering a network of autocrine and paracrine signaling that reprograms macrophages, dendritic cells, and T-cell subsets. This immune rewiring alters granuloma equilibrium through suppressed Th1/IFN-γ coordination, exaggerated Th17/IL-17-driven neutrophilia, and regulatory T-cell or IL-10-mediated dampening, which together destabilize macrophage activation and tissue architecture. Oxidative stress, mitochondrial dysfunction, and Matrix Metalloproteinases (MMP)-driven matrix remodeling further integrate with these pathways, converting inflammatory signals into epithelial damage, cavitation, and fibrosis. Consequently, disease outcomes depend critically on timing, viral burden, pathogen order, host immune endotype, and TB stage, such that the same virus can either preserve containment or drive progression depending on the local immunological context. Importantly, the effects of respiratory viral coinfection vary across the TB disease continuum, influencing early granuloma formation, latent infection, reactivation risk, and established disease through distinct immunological mechanisms. Host-directed therapies (HDT) targeting interferon, IL-1, TNF, inflammasome, or metabolic checkpoints hold mechanistic promise but exhibit variable clinical translation, underscoring the need for precision approaches that integrate stage- and endotype-specific biomarkers. This narrative review proposes an integrated systems framework that links viral sensing, immune rewiring, granuloma biology, and tissue-remodeling to TB-respiratory virus coinfection, and emphasizes how timing-aware, biomarker-guided strategies can refine diagnosis, clinical management, prognosis, and vaccine design in vulnerable populations.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Coinfection/immunology
*Mycobacterium tuberculosis/immunology
Signal Transduction/immunology
Animals
*Tuberculosis/immunology
Immunity, Innate
Host-Pathogen Interactions/immunology
*Respiratory Tract Infections/immunology
RevDate: 2026-08-13
CmpDate: 2026-07-17
Global epidemiological and aetiological patterns of hand, foot, and mouth disease: a country-level scoping synthesis.
Journal of global health, 16:04220.
BACKGROUND: Hand, foot, and mouth disease (HFMD) has historically been predominantly reported in the Asia-Pacific region, while its global epidemiology and aetiology remain fragmented and incompletely characterised. We aimed to synthesise currently available country-level evidence to describe global epidemiological and aetiological patterns of HFMD.
METHODS: We conducted a country-level scoping synthesis of published studies and publicly available surveillance reports through August 2025. Studies were eligible for inclusion if they reported epidemiological or aetiological data on HFMD at the national or subnational level, including case numbers, incidence, outbreaks, and enterovirus (EV) serotype distributions. We qualitatively synthesised the data, with a focus on surveillance availability, epidemiological trends, and major circulating EV serotypes.
RESULTS: Reported HFMD incidence declined during the COVID-19 pandemic and subsequently rebounded in many settings, in some settings exceeding pre-pandemic levels. Aetiological evidence suggests an increasing circulation of coxsackievirus A6 in multiple regions, with coxsackievirus A16 and EV A71 continuing to co-circulate in specific settings. However, routine epidemiological and aetiological surveillance remained largely concentrated in the Asia-Pacific region. In many other countries, available data were limited and primarily derived from outbreak-driven or sporadic studies. Heterogeneity was observed in surveillance systems and data availability across countries.
CONCLUSIONS: Global HFMD epidemiological and aetiological patterns are characterised by disparities in surveillance capacity and data availability. Developing standardised surveillance and aetiological monitoring is essential to further understand the global landscape of HFMD, improve data comparability, support early detection of epidemiological changes, and inform evidence-based prevention and control strategies.
Additional Links: PMID-42466633
PubMed:
Citation:
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@article {pmid42466633,
year = {2026},
author = {Li, Z and Han, X and Ren, Y},
title = {Global epidemiological and aetiological patterns of hand, foot, and mouth disease: a country-level scoping synthesis.},
journal = {Journal of global health},
volume = {16},
number = {},
pages = {04220},
pmid = {42466633},
issn = {2047-2986},
mesh = {*Hand, Foot and Mouth Disease/epidemiology/etiology/virology ; Humans ; *Global Health/statistics & numerical data ; Incidence ; Disease Outbreaks ; Enterovirus ; COVID-19/epidemiology ; },
abstract = {BACKGROUND: Hand, foot, and mouth disease (HFMD) has historically been predominantly reported in the Asia-Pacific region, while its global epidemiology and aetiology remain fragmented and incompletely characterised. We aimed to synthesise currently available country-level evidence to describe global epidemiological and aetiological patterns of HFMD.
METHODS: We conducted a country-level scoping synthesis of published studies and publicly available surveillance reports through August 2025. Studies were eligible for inclusion if they reported epidemiological or aetiological data on HFMD at the national or subnational level, including case numbers, incidence, outbreaks, and enterovirus (EV) serotype distributions. We qualitatively synthesised the data, with a focus on surveillance availability, epidemiological trends, and major circulating EV serotypes.
RESULTS: Reported HFMD incidence declined during the COVID-19 pandemic and subsequently rebounded in many settings, in some settings exceeding pre-pandemic levels. Aetiological evidence suggests an increasing circulation of coxsackievirus A6 in multiple regions, with coxsackievirus A16 and EV A71 continuing to co-circulate in specific settings. However, routine epidemiological and aetiological surveillance remained largely concentrated in the Asia-Pacific region. In many other countries, available data were limited and primarily derived from outbreak-driven or sporadic studies. Heterogeneity was observed in surveillance systems and data availability across countries.
CONCLUSIONS: Global HFMD epidemiological and aetiological patterns are characterised by disparities in surveillance capacity and data availability. Developing standardised surveillance and aetiological monitoring is essential to further understand the global landscape of HFMD, improve data comparability, support early detection of epidemiological changes, and inform evidence-based prevention and control strategies.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Hand, Foot and Mouth Disease/epidemiology/etiology/virology
Humans
*Global Health/statistics & numerical data
Incidence
Disease Outbreaks
Enterovirus
COVID-19/epidemiology
RevDate: 2026-07-17
CmpDate: 2026-07-17
Nurse burnout as a public health issue and Its impact on patient care quality. A narrative review.
Roczniki Panstwowego Zakladu Higieny, 77(1):21-32.
Occupational burnout among nurses is a significant public health issue. It affects both nurses' well-being and the quality of patient care. The aim of this narrative review is to provide a comprehensive synthesis of four key aspects of occupational burnout among nurses, namely its prevalence, determinants, consequences for patient care and mental health, and available prevention strategies. Literature was identified through searches of PubMed and Google Scholar. Articles published in English between 2015 and 2026 were reviewed and selected according to predefined inclusion and exclusion criteria. Burnout develops through the interaction of organizational, psychosocial, and individual factors. The most important contributors include work overload, staffing shortages, low autonomy, psychosocial stress, personality traits, and health status. Higher burnout levels are associated with increased medical errors, patient falls, and missed nursing care. Burnout also contributes to lower patient satisfaction and poorer perceived quality of care. Prolonged stress increases the risk of depression, anxiety, sleep disturbances, reduced psychological resilience, and intentions to leave the profession, negatively impacting nurses' quality of life and social functioning. Effective preventive and therapeutic strategies include mindfulness-based programs, cognitive-behavioral therapy, physical exercise, and resilience training. These interventions may be delivered both in person and digitally. Their effectiveness improves in supportive environments with allocated participation time and leadership engagement. Interventions at individual, team, and system levels reduce emotional exhaustion and depersonalization, enhance staff well-being, and improve patient safety. In the context of a global nursing shortage and increased workloads following the COVID-19 pandemic, multi-level strategies to prevent occupational burnout are essential for protecting nurses' mental health and maintaining high-quality healthcare. The review highlights the importance of multi-level preventive interventions to reduce burnout and improve healthcare outcomes.
Additional Links: PMID-42466786
Publisher:
PubMed:
Citation:
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@article {pmid42466786,
year = {2026},
author = {Szynal, D and Olszowski, T},
title = {Nurse burnout as a public health issue and Its impact on patient care quality. A narrative review.},
journal = {Roczniki Panstwowego Zakladu Higieny},
volume = {77},
number = {1},
pages = {21-32},
doi = {10.32394/rpzh/225226},
pmid = {42466786},
issn = {0035-7715},
mesh = {Humans ; *Burnout, Professional/psychology/prevention & control/epidemiology ; *Quality of Health Care ; Quality of Life ; *Nurses/psychology ; Workload/psychology ; Public Health ; Emotional Exhaustion ; },
abstract = {Occupational burnout among nurses is a significant public health issue. It affects both nurses' well-being and the quality of patient care. The aim of this narrative review is to provide a comprehensive synthesis of four key aspects of occupational burnout among nurses, namely its prevalence, determinants, consequences for patient care and mental health, and available prevention strategies. Literature was identified through searches of PubMed and Google Scholar. Articles published in English between 2015 and 2026 were reviewed and selected according to predefined inclusion and exclusion criteria. Burnout develops through the interaction of organizational, psychosocial, and individual factors. The most important contributors include work overload, staffing shortages, low autonomy, psychosocial stress, personality traits, and health status. Higher burnout levels are associated with increased medical errors, patient falls, and missed nursing care. Burnout also contributes to lower patient satisfaction and poorer perceived quality of care. Prolonged stress increases the risk of depression, anxiety, sleep disturbances, reduced psychological resilience, and intentions to leave the profession, negatively impacting nurses' quality of life and social functioning. Effective preventive and therapeutic strategies include mindfulness-based programs, cognitive-behavioral therapy, physical exercise, and resilience training. These interventions may be delivered both in person and digitally. Their effectiveness improves in supportive environments with allocated participation time and leadership engagement. Interventions at individual, team, and system levels reduce emotional exhaustion and depersonalization, enhance staff well-being, and improve patient safety. In the context of a global nursing shortage and increased workloads following the COVID-19 pandemic, multi-level strategies to prevent occupational burnout are essential for protecting nurses' mental health and maintaining high-quality healthcare. The review highlights the importance of multi-level preventive interventions to reduce burnout and improve healthcare outcomes.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Burnout, Professional/psychology/prevention & control/epidemiology
*Quality of Health Care
Quality of Life
*Nurses/psychology
Workload/psychology
Public Health
Emotional Exhaustion
RevDate: 2026-08-21
CmpDate: 2026-07-17
How Pandemics Have Reshaped the Respiratory Virus Data Landscape in Europe: Scoping Review.
Journal of medical Internet research, 28:e92917.
BACKGROUND: Acute respiratory infections caused by influenza, respiratory syncytial virus (RSV), and SARS-CoV-2 remain a major public health challenge in Europe. Although surveillance systems for these pathogens are well established, the past 2 decades have seen a rapid diversification of data streams supporting surveillance and research. This expanding data landscape, combined with fragmentation across institutions, sectors, and countries, may limit timely evidence synthesis and effective public health decision-making.
OBJECTIVE: This scoping review aimed to identify and characterize data sources used for surveillance and research on influenza, RSV, and SARS-CoV-2 in Europe over the past 20 years, and to examine their evolution over time, their alignment with research objectives, and geographic variation in data availability and use.
METHODS: We conducted a scoping review using an objective-driven analytical framework. Empirical reports published between January 2005 and September 2025 were identified in MEDLINE, Web of Science, and Embase. Eligible reports focused on influenza, RSV, or SARS-CoV-2 and included data from 12 European countries. Clinical and interventional studies were excluded. Reports were classified according to 4 research objectives: epidemiological monitoring, evaluation of interventions, assessment of disease burden and health outcomes, and analyses of population adherence and trust toward public health measures. Data sources were grouped into 9 categories, including surveillance systems, electronic health records (EHRs), registries, claims, surveys, digital, environmental, integrated datasets, and others.
RESULTS: A total of 2564 empirical reports were included. Over time, respiratory virus research relied on an increasingly diverse set of data streams. While surveillance systems remained central, particularly for epidemiological monitoring, their relative dominance declined. From 2020 onward, there was a marked expansion in the use of EHRs, registries, claims data, digital sources, and linked or integrated datasets, alongside increased use of open-access data. Data source use varied by research objective: surveillance data predominated in monitoring and intervention evaluation; EHRs in studies of risk factors and treatment effectiveness; surveys in seroprevalence and public trust analyses; and claims data in assessments of economic burden. Substantial geographic disparities were observed. Northern European countries more frequently used linked and multisource datasets, whereas Southern Europe relied more often on open-access or single-source data.
CONCLUSIONS: This scoping review provides a multipathogen, cross-country mapping of data sources for respiratory virus surveillance and research in Europe over 2 decades, applying an innovative objective-driven framework. Unlike prior reviews focused on single pathogens or data types, it offers a consolidated, comparative perspective based on 2564 reports to inform public health decision-making. The COVID-19 pandemic accelerated innovation in data generation and access, but progress remained largely centered on SARS-CoV-2, while structural fragmentation continues to limit timely, integrated data across Europe. Strengthening preparedness will require interoperable infrastructures, federated analysis platforms, sustainable funding for surveillance innovations, and cross-sectoral data sharing.
Additional Links: PMID-42467815
PubMed:
Citation:
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@article {pmid42467815,
year = {2026},
author = {Mastrovito, B and Abou Chakra, CN and Mahé, C and Nunes, MC},
title = {How Pandemics Have Reshaped the Respiratory Virus Data Landscape in Europe: Scoping Review.},
journal = {Journal of medical Internet research},
volume = {28},
number = {},
pages = {e92917},
pmid = {42467815},
issn = {1438-8871},
mesh = {Humans ; Europe/epidemiology ; *Respiratory Syncytial Virus Infections/epidemiology ; *Pandemics ; *Influenza, Human/epidemiology ; *COVID-19/epidemiology ; SARS-CoV-2 ; },
abstract = {BACKGROUND: Acute respiratory infections caused by influenza, respiratory syncytial virus (RSV), and SARS-CoV-2 remain a major public health challenge in Europe. Although surveillance systems for these pathogens are well established, the past 2 decades have seen a rapid diversification of data streams supporting surveillance and research. This expanding data landscape, combined with fragmentation across institutions, sectors, and countries, may limit timely evidence synthesis and effective public health decision-making.
OBJECTIVE: This scoping review aimed to identify and characterize data sources used for surveillance and research on influenza, RSV, and SARS-CoV-2 in Europe over the past 20 years, and to examine their evolution over time, their alignment with research objectives, and geographic variation in data availability and use.
METHODS: We conducted a scoping review using an objective-driven analytical framework. Empirical reports published between January 2005 and September 2025 were identified in MEDLINE, Web of Science, and Embase. Eligible reports focused on influenza, RSV, or SARS-CoV-2 and included data from 12 European countries. Clinical and interventional studies were excluded. Reports were classified according to 4 research objectives: epidemiological monitoring, evaluation of interventions, assessment of disease burden and health outcomes, and analyses of population adherence and trust toward public health measures. Data sources were grouped into 9 categories, including surveillance systems, electronic health records (EHRs), registries, claims, surveys, digital, environmental, integrated datasets, and others.
RESULTS: A total of 2564 empirical reports were included. Over time, respiratory virus research relied on an increasingly diverse set of data streams. While surveillance systems remained central, particularly for epidemiological monitoring, their relative dominance declined. From 2020 onward, there was a marked expansion in the use of EHRs, registries, claims data, digital sources, and linked or integrated datasets, alongside increased use of open-access data. Data source use varied by research objective: surveillance data predominated in monitoring and intervention evaluation; EHRs in studies of risk factors and treatment effectiveness; surveys in seroprevalence and public trust analyses; and claims data in assessments of economic burden. Substantial geographic disparities were observed. Northern European countries more frequently used linked and multisource datasets, whereas Southern Europe relied more often on open-access or single-source data.
CONCLUSIONS: This scoping review provides a multipathogen, cross-country mapping of data sources for respiratory virus surveillance and research in Europe over 2 decades, applying an innovative objective-driven framework. Unlike prior reviews focused on single pathogens or data types, it offers a consolidated, comparative perspective based on 2564 reports to inform public health decision-making. The COVID-19 pandemic accelerated innovation in data generation and access, but progress remained largely centered on SARS-CoV-2, while structural fragmentation continues to limit timely, integrated data across Europe. Strengthening preparedness will require interoperable infrastructures, federated analysis platforms, sustainable funding for surveillance innovations, and cross-sectoral data sharing.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
Europe/epidemiology
*Respiratory Syncytial Virus Infections/epidemiology
*Pandemics
*Influenza, Human/epidemiology
*COVID-19/epidemiology
SARS-CoV-2
RevDate: 2026-08-13
CmpDate: 2026-07-17
The critical role of artificial intelligence and bioinformatics in accelerating peptide-based vaccine discovery for tackling global infectious diseases.
Briefings in bioinformatics, 27(4):.
Peptide-based vaccines, enabled by bioinformatics and machine learning (ML), have emerged as one of the most promising approaches for rapid, safe, and cost-effective vaccine design against infectious diseases. Unlike conventional approaches that depend heavily on whole-pathogen cultures or recombinant protein expression, peptide vaccines can be designed in silico and synthesized quickly. Rational and targeted in silico approaches for the discovery of peptide-based vaccine candidates include B-cell and T-cell epitope prediction, immunogenicity, antigenicity, allergenicity, autoimmunity, population coverage, sequence conservation, molecular docking, molecular dynamics simulation, in silico cloning, and immunological simulation analyses. The combination of these comprehensive computational methods can effectively generate high-quality vaccine candidates for subsequent validation via in vitro and in vivo experiments. This review contextualizes the historical trajectory of peptide-based vaccinology, from early linear epitope discoveries in the 1960s to multi-epitope constructs and clinically tested candidates such as UB-612 and PepGNP-Covid19. It examines critical challenges in immunoinformatics, including performance gaps in epitope prediction tools, complexities in human leucocyte antigen (HLA) mapping, and the need for extensive manual intervention in pipelines. Artificial intelligence-driven approaches, spanning deep learning, and interpretable ML, are positioned to transform epitope prediction, reduce human error, and standardize reproducibility. These advances have the potential to support global outbreak response targets such as the Coalition for Epidemic Preparedness Innovations (CEPI) 100 Days Mission and the World Health Organization (WHO) Research and Development (R&D) Blueprint. However, their performance remains constrained by data quality, dataset imbalance, limited benchmark standardization, and persistent underrepresentation of many HLA alleles and population groups. Key Points Peptide-based vaccines, accelerated by bioinformatics and machine learning, offer a potentially rapid, relatively safe, and cost-effective alternative to traditional vaccine design, enabling in silico development and swift synthetic manufacturing. Computational methods such as B-cell and T-cell epitope prediction, immunogenicity analysis, and molecular simulations allow for rational and targeted vaccine candidate discovery, enhancing quality and efficiency. The field has evolved from early linear epitope discoveries in the 1960s to sophisticated multi-epitope constructs and clinically tested candidates like UB-612 and PepGNP-Covid19. Major challenges in immunoinformatics include performance limitations in epitope prediction tools, complexities in HLA mapping, and the necessity for manual intervention in data pipelines. Artificial intelligence-driven models, including deep learning and interpretable machine learning, promise to overcome these challenges by improving prediction accuracy, reducing errors, and supporting global epidemic response efforts such as CEPI's 100 Days Mission and the WHO R&D Blueprint.
Additional Links: PMID-42467983
PubMed:
Citation:
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@article {pmid42467983,
year = {2026},
author = {Tholo, N and Markey, G and Harrigan, R and Pandey, P and Prasad, B and Barai, RS and Gibson, DS and Shukla, P},
title = {The critical role of artificial intelligence and bioinformatics in accelerating peptide-based vaccine discovery for tackling global infectious diseases.},
journal = {Briefings in bioinformatics},
volume = {27},
number = {4},
pages = {},
pmid = {42467983},
issn = {1477-4054},
support = {//Department for the Economy/ ; },
mesh = {Humans ; *Artificial Intelligence ; *Computational Biology/methods ; Protein Subunit Vaccines ; Immunoinformatics ; *Vaccines, Subunit/immunology ; *Vaccine Development ; Epitopes, T-Lymphocyte/immunology ; Machine Learning ; COVID-19 Vaccines/immunology ; COVID-19/prevention & control/immunology ; *Communicable Diseases/immunology ; Epitopes, B-Lymphocyte/immunology ; },
abstract = {Peptide-based vaccines, enabled by bioinformatics and machine learning (ML), have emerged as one of the most promising approaches for rapid, safe, and cost-effective vaccine design against infectious diseases. Unlike conventional approaches that depend heavily on whole-pathogen cultures or recombinant protein expression, peptide vaccines can be designed in silico and synthesized quickly. Rational and targeted in silico approaches for the discovery of peptide-based vaccine candidates include B-cell and T-cell epitope prediction, immunogenicity, antigenicity, allergenicity, autoimmunity, population coverage, sequence conservation, molecular docking, molecular dynamics simulation, in silico cloning, and immunological simulation analyses. The combination of these comprehensive computational methods can effectively generate high-quality vaccine candidates for subsequent validation via in vitro and in vivo experiments. This review contextualizes the historical trajectory of peptide-based vaccinology, from early linear epitope discoveries in the 1960s to multi-epitope constructs and clinically tested candidates such as UB-612 and PepGNP-Covid19. It examines critical challenges in immunoinformatics, including performance gaps in epitope prediction tools, complexities in human leucocyte antigen (HLA) mapping, and the need for extensive manual intervention in pipelines. Artificial intelligence-driven approaches, spanning deep learning, and interpretable ML, are positioned to transform epitope prediction, reduce human error, and standardize reproducibility. These advances have the potential to support global outbreak response targets such as the Coalition for Epidemic Preparedness Innovations (CEPI) 100 Days Mission and the World Health Organization (WHO) Research and Development (R&D) Blueprint. However, their performance remains constrained by data quality, dataset imbalance, limited benchmark standardization, and persistent underrepresentation of many HLA alleles and population groups. Key Points Peptide-based vaccines, accelerated by bioinformatics and machine learning, offer a potentially rapid, relatively safe, and cost-effective alternative to traditional vaccine design, enabling in silico development and swift synthetic manufacturing. Computational methods such as B-cell and T-cell epitope prediction, immunogenicity analysis, and molecular simulations allow for rational and targeted vaccine candidate discovery, enhancing quality and efficiency. The field has evolved from early linear epitope discoveries in the 1960s to sophisticated multi-epitope constructs and clinically tested candidates like UB-612 and PepGNP-Covid19. Major challenges in immunoinformatics include performance limitations in epitope prediction tools, complexities in HLA mapping, and the necessity for manual intervention in data pipelines. Artificial intelligence-driven models, including deep learning and interpretable machine learning, promise to overcome these challenges by improving prediction accuracy, reducing errors, and supporting global epidemic response efforts such as CEPI's 100 Days Mission and the WHO R&D Blueprint.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Artificial Intelligence
*Computational Biology/methods
Protein Subunit Vaccines
Immunoinformatics
*Vaccines, Subunit/immunology
*Vaccine Development
Epitopes, T-Lymphocyte/immunology
Machine Learning
COVID-19 Vaccines/immunology
COVID-19/prevention & control/immunology
*Communicable Diseases/immunology
Epitopes, B-Lymphocyte/immunology
RevDate: 2026-09-01
CmpDate: 2026-09-01
Antisense oligonucleotides: design, implementation and future perspectives in microbiology.
Current opinion in microbiology, 93:102794.
Advances in molecular biology have expanded antimicrobial strategies that traditionally targeted proteins or metabolic pathways to now include RNA, enabling a previously unattainable precision through control of gene expression. The clinical potential of RNA-therapeutics was demonstrated during the COVID-19 pandemic, when mRNA vaccines marked a transformative milestone for RNA-based interventions for viral infections. Increasingly, similar principles are emerging for the treatment of bacterial infections. Antisense oligonucleotides (ASOs) bind complementary mRNA sequences to induce RNase H-mediated degradation or block their translation. Initially developed for genetic and neurodegenerative disorders, ASOs are now emerging as next-generation antibacterials, termed ASOBiotics, designed to silence essential bacterial genes. In this review, we explore the advances of ASO technologies with applications in bacterial pathogens, outlining design considerations while discussing the challenges and opportunities for making precision antibacterial therapeutics.
Additional Links: PMID-42468359
Publisher:
PubMed:
Citation:
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@article {pmid42468359,
year = {2026},
author = {Kelly, JB and Brodie, G and Zeden, MS},
title = {Antisense oligonucleotides: design, implementation and future perspectives in microbiology.},
journal = {Current opinion in microbiology},
volume = {93},
number = {},
pages = {102794},
doi = {10.1016/j.mib.2026.102794},
pmid = {42468359},
issn = {1879-0364},
mesh = {*Oligonucleotides, Antisense/pharmacology/genetics/therapeutic use ; Humans ; *Anti-Bacterial Agents/pharmacology ; *Bacteria/genetics/drug effects ; Bacterial Infections/drug therapy ; SARS-CoV-2 ; },
abstract = {Advances in molecular biology have expanded antimicrobial strategies that traditionally targeted proteins or metabolic pathways to now include RNA, enabling a previously unattainable precision through control of gene expression. The clinical potential of RNA-therapeutics was demonstrated during the COVID-19 pandemic, when mRNA vaccines marked a transformative milestone for RNA-based interventions for viral infections. Increasingly, similar principles are emerging for the treatment of bacterial infections. Antisense oligonucleotides (ASOs) bind complementary mRNA sequences to induce RNase H-mediated degradation or block their translation. Initially developed for genetic and neurodegenerative disorders, ASOs are now emerging as next-generation antibacterials, termed ASOBiotics, designed to silence essential bacterial genes. In this review, we explore the advances of ASO technologies with applications in bacterial pathogens, outlining design considerations while discussing the challenges and opportunities for making precision antibacterial therapeutics.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Oligonucleotides, Antisense/pharmacology/genetics/therapeutic use
Humans
*Anti-Bacterial Agents/pharmacology
*Bacteria/genetics/drug effects
Bacterial Infections/drug therapy
SARS-CoV-2
RevDate: 2026-10-20
CmpDate: 2026-10-16
Barriers and facilitators to diabetes service uptake and self-care management in Australia: a scoping review.
BMC health services research, 26(1):.
BACKGROUND: Diabetes represents a major and increasing public health burden in Australia. Despite this, there remains limited consolidated evidence on patterns of diabetes-related service uptake and self-management, particularly among priority population groups. This scoping review synthesizes existing evidence on diabetes-related health service utilization and self-management practices in Australia, focusing on key barriers and facilitators that affect access to care and engagement in self-management.
METHODS: We conducted a scoping review of journal articles published up to 20 October 2025. Major databases: PubMed, Embase, Scopus, and Web of Science, were utilized along with manual reference searches. Articles were screened in two stages, and data were extracted using a piloted template. A descriptive thematic analysis was performed focusing on the three major themes: service uptake, self-care management, and the associated barriers and facilitators. Diabetes service uptake was categorized into three subthemes: practitioner-based primary care, allied health and preventive services, and acute and emergency care. Moreover, the barriers and facilitators were organized using the socioecological framework.
RESULTS: Thirty-two articles were included in this review. The general population showed consistent engagement with practitioner-based routine diabetic services, with studies reporting up to 92% of adults visiting their general practitioners and having at least one HbA1c test over a six-month period. Aboriginal and Torres Strait Islander people also showed an improvement in primary care engagement despite a historical high dependency in acute care. In contrast, areas containing a higher proportion of overseas-born residents tended to rely more on acute services. The uptake of preventive services and allied health care was inconsistent and generally low. For example, up to 40% of adults had no contact with diabetes educators, dietitians, or podiatrists in some rural populations. One study has also reported that only 55.2% of high-risk adults were screened at least once for diabetes over a three-year period. Key barriers to service uptake and/or self-care management included limited health literacy, fragmented care pathways, financial constraints, cultural and language barriers, geographic remoteness, and variable digital capability. In contrast, coordinated multidisciplinary care, structured management plan, strong patient-provider relationship, social support, and access to digital health services were reported as important facilitators. Telehealth has also emerged as an effective facilitator for maintaining engagement, particularly during the COVID-19 pandemic.
CONCLUSION: Despite high engagement with routine primary care, significant gaps remain in preventive services and allied health use among people with diabetes in Australia, particularly among younger adults, rural residents, and socioeconomically disadvantaged or culturally diverse populations. Addressing these gaps requires equitable, person-centered, and integrated multidisciplinary care that aligns with patients' cultural values and everyday lives, alongside efforts in improving health literacy.
Additional Links: PMID-42469771
PubMed:
Citation:
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hide bibtex listing
@article {pmid42469771,
year = {2026},
author = {Kassie, AM and Endalamaw, A and Khatri, RB and Assefa, Y},
title = {Barriers and facilitators to diabetes service uptake and self-care management in Australia: a scoping review.},
journal = {BMC health services research},
volume = {26},
number = {1},
pages = {},
pmid = {42469771},
issn = {1472-6963},
mesh = {Humans ; Australia ; *Diabetes Mellitus/therapy ; *Health Services Accessibility ; *Patient Acceptance of Health Care/statistics & numerical data ; *Self Care ; *Self-Management ; },
abstract = {BACKGROUND: Diabetes represents a major and increasing public health burden in Australia. Despite this, there remains limited consolidated evidence on patterns of diabetes-related service uptake and self-management, particularly among priority population groups. This scoping review synthesizes existing evidence on diabetes-related health service utilization and self-management practices in Australia, focusing on key barriers and facilitators that affect access to care and engagement in self-management.
METHODS: We conducted a scoping review of journal articles published up to 20 October 2025. Major databases: PubMed, Embase, Scopus, and Web of Science, were utilized along with manual reference searches. Articles were screened in two stages, and data were extracted using a piloted template. A descriptive thematic analysis was performed focusing on the three major themes: service uptake, self-care management, and the associated barriers and facilitators. Diabetes service uptake was categorized into three subthemes: practitioner-based primary care, allied health and preventive services, and acute and emergency care. Moreover, the barriers and facilitators were organized using the socioecological framework.
RESULTS: Thirty-two articles were included in this review. The general population showed consistent engagement with practitioner-based routine diabetic services, with studies reporting up to 92% of adults visiting their general practitioners and having at least one HbA1c test over a six-month period. Aboriginal and Torres Strait Islander people also showed an improvement in primary care engagement despite a historical high dependency in acute care. In contrast, areas containing a higher proportion of overseas-born residents tended to rely more on acute services. The uptake of preventive services and allied health care was inconsistent and generally low. For example, up to 40% of adults had no contact with diabetes educators, dietitians, or podiatrists in some rural populations. One study has also reported that only 55.2% of high-risk adults were screened at least once for diabetes over a three-year period. Key barriers to service uptake and/or self-care management included limited health literacy, fragmented care pathways, financial constraints, cultural and language barriers, geographic remoteness, and variable digital capability. In contrast, coordinated multidisciplinary care, structured management plan, strong patient-provider relationship, social support, and access to digital health services were reported as important facilitators. Telehealth has also emerged as an effective facilitator for maintaining engagement, particularly during the COVID-19 pandemic.
CONCLUSION: Despite high engagement with routine primary care, significant gaps remain in preventive services and allied health use among people with diabetes in Australia, particularly among younger adults, rural residents, and socioeconomically disadvantaged or culturally diverse populations. Addressing these gaps requires equitable, person-centered, and integrated multidisciplinary care that aligns with patients' cultural values and everyday lives, alongside efforts in improving health literacy.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
Australia
*Diabetes Mellitus/therapy
*Health Services Accessibility
*Patient Acceptance of Health Care/statistics & numerical data
*Self Care
*Self-Management
RevDate: 2026-10-20
CmpDate: 2026-10-13
Barriers to and facilitators of the implementation of Community Health Worker programmes in high-income countries: a systematic review.
BMC health services research, 26(1):.
BACKGROUND: Global interest in Community Health Workers (CHWs) is rising as health systems seek to address persistent health inequities and the social determinants of health. However, in high-income countries (HICs), CHW implementation remains fragmented. This systematic review synthesises evidence on the factors that act as barriers and facilitators to the implementation and integration of CHW programmes across HIC primary healthcare settings.
METHODS: We searched MEDLINE, Scopus, PsycINFO, and CINAHL for studies published between January 2001 and August 2025. Inclusion focused on qualitative, quantitative, and mixed-methods papers regarding CHW implementation in HICs. Methodological quality was appraised using the Mixed Methods Appraisal Tool (MMAT). Data were synthesised using a 'Best Fit' Framework Synthesis and confidence in the findings was assessed via GRADE-CERQual.
RESULTS: Seventy-two papers were included (US n = 64; UK n = 4; Australia n = 3; Belgium n = 1), primarily comprising qualitative and mixed methods designs. Key facilitators included leadership buy-in, the presence of implementation champions, and established community partnerships that enabled resource sharing. Prominent barriers included precarious, short-term funding models that prioritised quantitative outputs over relational labour; hierarchical medical power dynamics; and disconnected IT systems that necessitated redundant data entry. The COVID-19 pandemic acted as a catalyst, elevating the CHW role within public health infrastructure while simultaneously exposing digital divides and structural fragility. GRADE-CERQual ratings indicated high confidence in findings regarding funding sustainability, training, and integration.
CONCLUSIONS: The evidence synthesised in this review reveals a fundamental misalignment within current health services: while CHWs are valued for their unique relational capacity, they remain systemically undermined by transactional health system designs. Achieving sustainability requires a strategic shift toward long-term, flexible funding models and the workforce development of supportive infrastructure, including reflective supervision and standardised training. Integration must move beyond short-term, project-based initiatives toward a resilient and permanent public health workforce capable of addressing structural health inequities.
TRIAL REGISTRATION: PROSPERO: CRD42022310789.
Additional Links: PMID-42469840
PubMed:
Citation:
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@article {pmid42469840,
year = {2026},
author = {Riley, A and Doughty, H and Hill, JE and Giebel, C and Harris, M and Williams, NH},
title = {Barriers to and facilitators of the implementation of Community Health Worker programmes in high-income countries: a systematic review.},
journal = {BMC health services research},
volume = {26},
number = {1},
pages = {},
pmid = {42469840},
issn = {1472-6963},
support = {NIHR200182/ARCNWC161//National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care North West Coast/ ; },
mesh = {Humans ; *Community Health Workers/organization & administration ; *Developed Countries ; Primary Health Care/organization & administration ; Public Health Infrastructure ; },
abstract = {BACKGROUND: Global interest in Community Health Workers (CHWs) is rising as health systems seek to address persistent health inequities and the social determinants of health. However, in high-income countries (HICs), CHW implementation remains fragmented. This systematic review synthesises evidence on the factors that act as barriers and facilitators to the implementation and integration of CHW programmes across HIC primary healthcare settings.
METHODS: We searched MEDLINE, Scopus, PsycINFO, and CINAHL for studies published between January 2001 and August 2025. Inclusion focused on qualitative, quantitative, and mixed-methods papers regarding CHW implementation in HICs. Methodological quality was appraised using the Mixed Methods Appraisal Tool (MMAT). Data were synthesised using a 'Best Fit' Framework Synthesis and confidence in the findings was assessed via GRADE-CERQual.
RESULTS: Seventy-two papers were included (US n = 64; UK n = 4; Australia n = 3; Belgium n = 1), primarily comprising qualitative and mixed methods designs. Key facilitators included leadership buy-in, the presence of implementation champions, and established community partnerships that enabled resource sharing. Prominent barriers included precarious, short-term funding models that prioritised quantitative outputs over relational labour; hierarchical medical power dynamics; and disconnected IT systems that necessitated redundant data entry. The COVID-19 pandemic acted as a catalyst, elevating the CHW role within public health infrastructure while simultaneously exposing digital divides and structural fragility. GRADE-CERQual ratings indicated high confidence in findings regarding funding sustainability, training, and integration.
CONCLUSIONS: The evidence synthesised in this review reveals a fundamental misalignment within current health services: while CHWs are valued for their unique relational capacity, they remain systemically undermined by transactional health system designs. Achieving sustainability requires a strategic shift toward long-term, flexible funding models and the workforce development of supportive infrastructure, including reflective supervision and standardised training. Integration must move beyond short-term, project-based initiatives toward a resilient and permanent public health workforce capable of addressing structural health inequities.
TRIAL REGISTRATION: PROSPERO: CRD42022310789.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
Humans
*Community Health Workers/organization & administration
*Developed Countries
Primary Health Care/organization & administration
Public Health Infrastructure
RevDate: 2026-10-13
CmpDate: 2026-10-13
Emerging importance of bio-bank for precision diagnostics and research in neuroinfections - a narrative review.
Diagnostic microbiology and infectious disease, 116(3):117546.
The diagnosis of neuroinfectious diseases, including Tuberculous Meningitis (TBM), viral encephalitis, Human Immunodeficiency Virus (HIV), and post COVID-19 neurological syndromes, remains challenging due to limited surveillance, non-specific symptoms, inadequate laboratory sensitivity, and restricted availability of high-quality CSF or tissue specimens. The critical need for early and precise diagnosis and the development of reliable, validated biomarkers highlight the importance of biospecimen-driven approaches that leverage CSF and other biobanked materials, as evidenced by the emerging literature. This review aims to summarize the need for biobanks, discuss sample preservation and tracking, examine quality control frameworks, and evaluate current advances, translational applications, and ongoing challenges of biobanking in neuroinfectious disease research. We extracted evidence from existing neuroinfection biobanks, reviewed global standards governing bio-specimen preservation and storage, and analyzed studies demonstrating how archived CSF, blood, and brain tissue have enabled pathogen characterization, biomarker discovery, and translational research. Our analysis shows that biobanked specimens have facilitated high-resolution pathogen genotyping, immune profiling, and identification of diagnostic and prognostic biomarkers, such as neuro-filament light chain (NfL) and CSF proteomic signatures. Strengthening biobanking infrastructure, harmonized governance, established FAIR-aligned data systems, and the integration of AI and digital analytics will help accelerate biomarker validation, drive diagnostic innovation, and ultimately improve clinical outcomes for patients worldwide.
Additional Links: PMID-42470742
Publisher:
PubMed:
Citation:
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@article {pmid42470742,
year = {2026},
author = {N, B and Radhakrishnan, SSR and V, RS and J, PK and Srinivasan, S and Lamech, T and S, RK and Mani, R and Sharma, M and Vasudeva, K and Mahadevan, A and Hb, V},
title = {Emerging importance of bio-bank for precision diagnostics and research in neuroinfections - a narrative review.},
journal = {Diagnostic microbiology and infectious disease},
volume = {116},
number = {3},
pages = {117546},
doi = {10.1016/j.diagmicrobio.2026.117546},
pmid = {42470742},
issn = {1879-0070},
mesh = {*Biological Specimen Banks/standards ; *Central Nervous System Infections/diagnosis ; Humans ; Biomarkers ; *Tissue Preservation/methods/standards ; Quality Control ; Cerebrospinal Fluid ; Brain ; *Specimen Handling/methods/standards ; },
abstract = {The diagnosis of neuroinfectious diseases, including Tuberculous Meningitis (TBM), viral encephalitis, Human Immunodeficiency Virus (HIV), and post COVID-19 neurological syndromes, remains challenging due to limited surveillance, non-specific symptoms, inadequate laboratory sensitivity, and restricted availability of high-quality CSF or tissue specimens. The critical need for early and precise diagnosis and the development of reliable, validated biomarkers highlight the importance of biospecimen-driven approaches that leverage CSF and other biobanked materials, as evidenced by the emerging literature. This review aims to summarize the need for biobanks, discuss sample preservation and tracking, examine quality control frameworks, and evaluate current advances, translational applications, and ongoing challenges of biobanking in neuroinfectious disease research. We extracted evidence from existing neuroinfection biobanks, reviewed global standards governing bio-specimen preservation and storage, and analyzed studies demonstrating how archived CSF, blood, and brain tissue have enabled pathogen characterization, biomarker discovery, and translational research. Our analysis shows that biobanked specimens have facilitated high-resolution pathogen genotyping, immune profiling, and identification of diagnostic and prognostic biomarkers, such as neuro-filament light chain (NfL) and CSF proteomic signatures. Strengthening biobanking infrastructure, harmonized governance, established FAIR-aligned data systems, and the integration of AI and digital analytics will help accelerate biomarker validation, drive diagnostic innovation, and ultimately improve clinical outcomes for patients worldwide.},
}
MeSH Terms:
show MeSH Terms
hide MeSH Terms
*Biological Specimen Banks/standards
*Central Nervous System Infections/diagnosis
Humans
Biomarkers
*Tissue Preservation/methods/standards
Quality Control
Cerebrospinal Fluid
Brain
*Specimen Handling/methods/standards
RevDate: 2026-07-18
Domestic robots: recent trends and innovations.
Disability and rehabilitation. Assistive technology [Epub ahead of print].
PURPOSE: Domestic Service Robots (DSRs) are employed to perform personalised tasks in domestic/household environments. Recent times, especially after the COVID-19 pandemic, have shown a rapid increase in demand for household companion bots. Despite the development of several such service robots, there are still potential challenges that need to be addressed. Domestic robots that perform basic household chores such as vacuum cleaning are the most popular and commercially a big hit. It is desirable to have an advanced multipurpose robot that can interact with humans and the surrounding environment in real time.
METHODS: A comparative analysis of existing DSRs and their corresponding gaps is highlighted in this article. Emphasis is given to the design/appearance, choice of sensors and actuators, cognition, effectiveness in manipulating domestic objects, control and task planning algorithms, safety measures and reliability of DSRs validated in real-world settings.
RESULTS: This article presents a systematic review of the latest developments in DSR and outlines the future direction of research to tackle the unsolved problems. Key highlights from 83 research articles published after 2020 in reputed journals/platforms are studied and analysed to understand the latest trends in DSR.
CONCLUSION: This review highlights current progress, identifies existing gaps, and outlines future research directions essential for deploying reliable domestic service robots in real world environments.
Additional Links: PMID-42471030
Publisher:
PubMed:
Citation:
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@article {pmid42471030,
year = {2026},
author = {Kumar, CS and Joe Thomas, M and Thomas, NP and Kotwani, VS},
title = {Domestic robots: recent trends and innovations.},
journal = {Disability and rehabilitation. Assistive technology},
volume = {},
number = {},
pages = {1-27},
doi = {10.1080/17483107.2026.2702778},
pmid = {42471030},
issn = {1748-3115},
abstract = {PURPOSE: Domestic Service Robots (DSRs) are employed to perform personalised tasks in domestic/household environments. Recent times, especially after the COVID-19 pandemic, have shown a rapid increase in demand for household companion bots. Despite the development of several such service robots, there are still potential challenges that need to be addressed. Domestic robots that perform basic household chores such as vacuum cleaning are the most popular and commercially a big hit. It is desirable to have an advanced multipurpose robot that can interact with humans and the surrounding environment in real time.
METHODS: A comparative analysis of existing DSRs and their corresponding gaps is highlighted in this article. Emphasis is given to the design/appearance, choice of sensors and actuators, cognition, effectiveness in manipulating domestic objects, control and task planning algorithms, safety measures and reliability of DSRs validated in real-world settings.
RESULTS: This article presents a systematic review of the latest developments in DSR and outlines the future direction of research to tackle the unsolved problems. Key highlights from 83 research articles published after 2020 in reputed journals/platforms are studied and analysed to understand the latest trends in DSR.
CONCLUSION: This review highlights current progress, identifies existing gaps, and outlines future research directions essential for deploying reliable domestic service robots in real world environments.},
}
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