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Temporal omics analysis in Syrian hamsters unravel cellular effector responses to moderate COVID-19.
- Source :
-
Nature communications [Nat Commun] 2021 Aug 11; Vol. 12 (1), pp. 4869. Date of Electronic Publication: 2021 Aug 11. - Publication Year :
- 2021
-
Abstract
- In COVID-19, immune responses are key in determining disease severity. However, cellular mechanisms at the onset of inflammatory lung injury in SARS-CoV-2 infection, particularly involving endothelial cells, remain ill-defined. Using Syrian hamsters as a model for moderate COVID-19, we conduct a detailed longitudinal analysis of systemic and pulmonary cellular responses, and corroborate it with datasets from COVID-19 patients. Monocyte-derived macrophages in lungs exert the earliest and strongest transcriptional response to infection, including induction of pro-inflammatory genes, while epithelial cells show weak alterations. Without evidence for productive infection, endothelial cells react, depending on cell subtypes, by strong and early expression of anti-viral, pro-inflammatory, and T cell recruiting genes. Recruitment of cytotoxic T cells as well as emergence of IgM antibodies precede viral clearance at day 5 post infection. Investigating SARS-CoV-2 infected Syrian hamsters thus identifies cell type-specific effector functions, providing detailed insights into pathomechanisms of COVID-19 and informing therapeutic strategies.<br /> (© 2021. The Author(s).)
- Subjects :
- Alveolar Epithelial Cells immunology
Animals
Cricetinae
Cytokines genetics
Cytokines immunology
Endothelial Cells immunology
Humans
Immunoglobulin M immunology
Inflammation
Lung immunology
Macrophages immunology
Mesocricetus
Monocytes immunology
SARS-CoV-2 immunology
Signal Transduction
T-Lymphocytes, Cytotoxic immunology
Toll-Like Receptors immunology
COVID-19 immunology
Disease Models, Animal
Subjects
Details
- Language :
- English
- ISSN :
- 2041-1723
- Volume :
- 12
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Nature communications
- Publication Type :
- Academic Journal
- Accession number :
- 34381043
- Full Text :
- https://doi.org/10.1038/s41467-021-25030-7