Chronic lung diseases are associated with gene expression programs favoring SARS-CoV-2 entry and severity
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s41467-021-24467-0.pdf
Description
Published version
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4.22 MB
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Author(s) • • • • • • • • •
Bui, Linh T.
Winters, Nichelle I.
Chung, Mei-I
Joseph, Chitra
Gutierrez, Austin J.
Habermann, Arun C.
Adams, Taylor S.
Schupp, Jonas C.
Poli, Sergio
Peter, Lance M.
Date Issued
July 2021
Journal
Nature Communications
Publisher
Springer Science and Business Media LLC
Citation
2021. "Chronic lung diseases are associated with gene expression programs favoring SARS-CoV-2 entry and severity." Nature Communications, 12 (1).
Version
Final published version
Abstract
AbstractPatients with chronic lung disease (CLD) have an increased risk for severe coronavirus disease-19 (COVID-19) and poor outcomes. Here, we analyze the transcriptomes of 611,398 single cells isolated from healthy and CLD lungs to identify molecular characteristics of lung cells that may account for worse COVID-19 outcomes in patients with chronic lung diseases. We observe a similar cellular distribution and relative expression of SARS-CoV-2 entry factors in control and CLD lungs. CLD AT2 cells express higher levels of genes linked directly to the efficiency of viral replication and the innate immune response. Additionally, we identify basal differences in inflammatory gene expression programs that highlight how CLD alters the inflammatory microenvironment encountered upon viral exposure to the peripheral lung. Our study indicates that CLD is accompanied by changes in cell-type-specific gene expression programs that prime the lung epithelium for and influence the innate and adaptive immune responses to SARS-CoV-2 infection.
MIT Department
Massachusetts Institute of Technology. Institute for Medical Engineering & Science
Ragon Institute of MGH, MIT and Harvard
Massachusetts Institute of Technology. Department of Biology
Howard Hughes Medical Institute
Koch Institute for Integrative Cancer Research at MIT
Massachusetts Institute of Technology. Department of Chemistry
Terms of Use
Creative Commons Attribution 4.0 International license
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DOI of Published Version
https://doi.org/10.1038/s41467-021-24467-0