Single-cell-resolved interspecies comparison shows a shared inflammatory axis and a dominant neutrophil-endothelial program in severe COVID-19.
COVID-19
CP: Immunology
CP: Microbiology
SARS-CoV-2
computational biology
endothelial cells
innate immunity
lungs
machine learning
neutrophils
pathogenesis
single-cell
Journal
Cell reports
ISSN: 2211-1247
Titre abrégé: Cell Rep
Pays: United States
ID NLM: 101573691
Informations de publication
Date de publication:
10 Jun 2024
10 Jun 2024
Historique:
received:
15
12
2023
revised:
21
04
2024
accepted:
22
05
2024
medline:
11
6
2024
pubmed:
11
6
2024
entrez:
11
6
2024
Statut:
aheadofprint
Résumé
A key issue for research on COVID-19 pathogenesis is the lack of biopsies from patients and of samples at the onset of infection. To overcome these hurdles, hamsters were shown to be useful models for studying this disease. Here, we further leverage the model to molecularly survey the disease progression from time-resolved single-cell RNA sequencing data collected from healthy and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-infected Syrian and Roborovski hamster lungs. We compare our data to human COVID-19 studies, including bronchoalveolar lavage, nasal swab, and postmortem lung tissue, and identify a shared axis of inflammation dominated by macrophages, neutrophils, and endothelial cells, which we show to be transient in Syrian and terminal in Roborovski hamsters. Our data suggest that, following SARS-CoV-2 infection, commitment to a type 1- or type 3-biased immunity determines moderate versus severe COVID-19 outcomes, respectively.
Identifiants
pubmed: 38861386
pii: S2211-1247(24)00656-9
doi: 10.1016/j.celrep.2024.114328
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
114328Informations de copyright
Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of interests The authors declare no competing interests.