Alveolar macrophages critically control infection by seasonal human coronavirus OC43 to avoid severe pneumonia DOI Creative Commons

Xuan Zhong,

Tian Xie,

Su-Yun Wang

et al.

Cell Reports, Journal Year: 2025, Volume and Issue: 44(4), P. 115531 - 115531

Published: April 1, 2025

Seasonal coronaviruses, similar to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), only cause symptoms in a small fraction of infected individuals. However, the host factors that determine variable responses infection remain unclear. Here, we use seasonal human OC43 (HCoV-OC43) as an asymptomatic model triggers both innate and adaptive immune mice. Interestingly, sensing pathways well cells are not essential protection against HCoV-OC43. Instead, alveolar macrophage (AMΦ) deficiency mice results COVID-19-like pneumonia post HCoV-OC43 infection, with abundant neutrophil infiltration, extracellular trap (NET) release, exaggerated pro-inflammatory cytokine production. Mechanistically, AMΦ efficiently phagocytose HCoV-OC43, effectively blocking virus spread, whereas, their absence, Toll-like receptor (TLR)-dependent chemokine production pneumonia. These findings reveal central role defending clinical implications for immunopathology associated infection.

Language: Английский

The COVID-19 inflammation and high mortality mechanism trigger DOI
Samuel Stróż, Piotr Kosiorek,

Anna Stasiak‐Barmuta

et al.

Immunogenetics, Journal Year: 2023, Volume and Issue: 76(1), P. 15 - 25

Published: Dec. 8, 2023

Language: Английский

Citations

12

Nucleated red blood cells are a late biomarker in predicting intensive care unit mortality in patients with COVID-19 acute respiratory distress syndrome: an observational cohort study DOI Creative Commons
Götz Schmidt,

Arnd Martens,

Christian Koch

et al.

Frontiers in Immunology, Journal Year: 2024, Volume and Issue: 15

Published: Jan. 18, 2024

Background Nucleated red blood cells (nRBC) are precursor of the erythropoiesis that absent from peripheral under physiological conditions. Their presence is associated with adverse outcomes in critically ill patients. This study aimed to evaluate predictive value nRBC on mortality intensive care unit (ICU) patients COVID-19 acute respiratory distress syndrome (ARDS). Material and methods retrospective, observational cohort analyzed data 206 ICU diagnosed ARDS between March 2020 2022. The primary endpoint was mortality, secondary endpoints included hospital stay lengths, ventilation hours, time courses disease severity scores clinical laboratory parameters. Results Among patients, 68.9% tested positive for at least once during their stay. A maximum 105 µl -1 had highest accuracy predicting (area curve receiver operating characteristic [AUCROC] 0.780, p < 0.001, sensitivity 69.0%, specificity 75.5%). Mortality significantly higher among >105 than ≤105 (86.5% vs. 51.3%, = 0.008). Compared negative blood, those required longer mechanical (127 [44 - 289] h 517 [255 950] h, 0.001), stays (12 [8 – 19] 27 [13 51] d, (19 [12 29] d 31 [16 58] 0.001). Peak Sepsis-related Organ Failure Assessment (SOFA), Simplified Acute Physiology Score, P a O 2 /F i , interleukin-6, procalcitonin values were reached before peak level. However, performance SOFA (AUCROC 0.842, 0.001) considerably improved when score >8 combined. Discussion predict indicate ARDS, they should be considered alarm signal worse outcome. late predictor compared other established scoring systems parameters but improve prediction combined score.

Language: Английский

Citations

4

Evolution of Cardiovascular Findings in Multisystem Inflammatory Syndrome in Children (MIS-C) Across COVID-19 Variants: Common Trends and Unusual Presentations DOI
Rabia Khan,

Theadora Ordog,

Sandy Hong

et al.

Pediatric Cardiology, Journal Year: 2024, Volume and Issue: 45(3), P. 552 - 559

Published: Jan. 23, 2024

Language: Английский

Citations

4

Respiratory pathogenic microbial infections: a narrative review DOI Creative Commons

Yiyin Long,

Yan Zheng, Changlin Li

et al.

International Journal of Medical Sciences, Journal Year: 2024, Volume and Issue: 21(5), P. 826 - 836

Published: Jan. 1, 2024

Respiratory infectious diseases have long been recognised as a substantial global healthcare burden and are one of the leading causes death worldwide, particularly in vulnerable individuals. In post COVID-19 era, there has surge prevalence influenza virus A other multiple known viruses causing cold compared with during same period previous three years, which coincided countries easing restrictions worldwide. This article aims to review community-acquired respiratory illnesses covering broad spectrum viruses, bacteria, atypical microorganisms focuses on cluster pathogens China, thereby providing effective prevention control measures.

Language: Английский

Citations

4

COVID-19 and Asthma Onset in Children DOI
James P. Senter, Laura K. Aisenberg,

Jesse Dudley

et al.

PEDIATRICS, Journal Year: 2024, Volume and Issue: 153(5)

Published: April 12, 2024

BACKGROUND AND OBJECTIVES Respiratory viral infections increase risk of asthma in infants and children. Infection with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus can cause lung inflammation prolonged symptoms. We sought to determine whether SARS-CoV-2 infection modified pediatric incident risk. METHODS This retrospective cohort study examined children ages 1 16 within Children’s Hospital Philadelphia Care Network who received polymerase chain reaction (PCR) testing for between March 1, 2020 February 28, 2021. Multivariable Cox regression models assessed hazard ratio new diagnosis PCR positive negative groups an 18-month observation window. Models were adjusted demographic characteristics, socioeconomic variables, atopic comorbidities. RESULTS There 27 423 subjects included study. In analyses, positivity had no significant effect on (hazard [HR]: 0.96; P = .79). Black race (HR: 1.49; .004), food allergies 1.26; .025), allergic rhinitis 2.30; < .001) significantly increased diagnosis. Preterm birth 1.48; .005) BMI 1.13; <5 years old. CONCLUSIONS was not associated period, although known factors confirmed. informs prognosis care a history infection.

Language: Английский

Citations

4

Deciphering the Host-Pathogen Interface in COVID-19: The precision molecular insight into epitranscriptomic modifications of high-impact transcripts DOI Creative Commons
Mateusz Maździarz, Katarzyna Krawczyk, Ewa Lepiarczyk

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 15, 2025

ABSTRACT The COVID-19 pandemic, caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has had a profound global impact since its emergence in late 2019. Characterized wide spectrum of clinical manifestations, ranging from asymptomatic infection to distress and death, necessitated extensive research into host-pathogen interactions that drive disease progression. Understanding molecular mechanisms underlying host response SARS-CoV-2 is crucial for development effective therapeutic interventions preventative strategies. This study employed multi-omic approach combined direct RNA sequencing (DRS) Illumina cDNA investigate whole blood transcriptomic profiles patients. By leveraging unique capabilities Nanopore DRS, which provides long-read data, we were able capture not only gene expression levels but also modifications, including poly(A) tail length, non-adenine residue (non-A), pseudouridylation (psU), 5-methylcytosine (m5C) methylation. comprehensive analysis allowed us identify differentially expressed genes (DEGs) explore these modifications on function within context COVID-19. Our findings reveal significant alterations patterns, lengths, non-A prevalence psU m5C patients compared healthy controls. These results provide valuable insights complex interplay between viral infection, immune response, processing, contributing deeper understanding pathogenesis.

Language: Английский

Citations

0

Role of Artificial Intelligence in Identifying Vital Biomarkers with Greater Precision in Emergency Departments During Emerging Pandemics DOI Open Access

Nicolás J. Garrido,

Félix González-Martínez,

Ana M. Torres

et al.

International Journal of Molecular Sciences, Journal Year: 2025, Volume and Issue: 26(2), P. 722 - 722

Published: Jan. 16, 2025

The COVID-19 pandemic has accelerated advances in molecular biology and virology, enabling the identification of key biomarkers to differentiate between severe mild cases. Furthermore, use artificial intelligence (AI) machine learning (ML) analyze large datasets been crucial for rapidly identifying relevant disease prognosis, including COVID-19. This approach enhances diagnostics emergency settings, allowing more accurate efficient patient management. study demonstrates how algorithms departments can identify vital prognosis an emerging using as example by analyzing clinical, epidemiological, analytical, radiological data. All consecutively admitted patients were included, than 89 variables processed Random Forest (RF) algorithm. RF model achieved highest balanced accuracy at 92.61%. most predictive mortality included procalcitonin (PCT), lactate dehydrogenase (LDH), C-reactive protein (CRP). Additionally, system highlighted significance interstitial infiltrates chest X-rays D-dimer levels. Our results demonstrate that is critical diseases, accelerating data analysis, optimizing personalized treatment, emphasizing importance PCT LDH high-risk patients.

Language: Английский

Citations

0

Phylogeography of SARS-CoV-2 Omicron sublineages detected in asymptomatic blood donors during third epidemiological wave in Mato Grosso, Midwestern Brazil. DOI
Loris Marin,

L.N. Miranda,

Victor Eliel Bastos de Carvalho

et al.

Diagnostic Microbiology and Infectious Disease, Journal Year: 2025, Volume and Issue: 111(3), P. 116693 - 116693

Published: Jan. 18, 2025

Language: Английский

Citations

0

Change in exacerbation rate of COPD patients before and after COVID-19 infection DOI Creative Commons
Joon Young Choi,

Kyung Joo Kim,

Chin Kook Rhee

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 18, 2025

The COVID-19 pandemic has profoundly affected global health system, significantly altering not only the acute management of viral infection, but also strategies for chronic diseases. This study aimed to investigate impact infection on exacerbation rates and economic burden in patients with COPD. We conducted a retrospective cohort using data from national insurance reimbursement South Korea. Eligible participants included COPD diagnosed between January December 2020. analyzed rates, healthcare utilization, medical costs pre- post-COVID-19 infection. In 3,445 who were infected by COVID-19, resulted increased annual moderate-to-severe severe exacerbations compared pre-COVID-19 (IRR = 1.062 [95%CI 1.027-1.099]; IRR 1.315 1.182-1.481], respectively). Among previously non-exacerbators, 11.2% transitioned exacerbator after Older age, comorbidities use triple therapy factors associated transitioners. Direct escalated approximately $6810 $11,032, reflecting intensity care rate imposed heavier system. substantial number exacerbators

Language: Английский

Citations

0

Evaluation of the causal effects of perfluorooctanesulfonate on COVID-19 and its associated mechanisms: Integrated Mendelian randomization and network toxicology analyses DOI
Wendong Tao, Liang Chen

Toxicology Letters, Journal Year: 2025, Volume and Issue: 405, P. 1 - 8

Published: Feb. 1, 2025

Language: Английский

Citations

0