Transcriptomic Signature Differences Between SARS-CoV-2 and Influenza Virus Infected Patients

Autor: Stéphanie Bibert, Nicolas Guex, Joao Lourenco, Thomas Brahier, Matthaios Papadimitriou-Olivgeris, Lauro Damonti, Oriol Manuel, Robin Liechti, Lou Götz, Jonathan Tschopp, Mathieu Quinodoz, Peter Vollenweider, Jean-Luc Pagani, Mauro Oddo, Olivier Hügli, Frédéric Lamoth, Véronique Erard, Cathy Voide, Mauro Delorenzi, Nathalie Rufer, Fabio Candotti, Carlo Rivolta, Noémie Boillat-Blanco, Pierre-Yves Bochud, the RegCOVID Study Group, Bochud Pierre-Yves, Desgranges Florian, Filippidis Paraskevas, Guéry Benoit, Haefliger David, Kampouri Eleftheria-Evdokia, Manuel Oriol, Munting Aline, Pagani Jean-Luc, Papadimitriou-Olivgeris Matthaios, Regina Jean, Rochat-Stettler Laurence, Suttels Veronique, Tadini Eliana, Tschopp Jonathan, Van Singer Mathias, Viala Benjamin, Vollenweider Peter
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Frontiers in Immunology, Vol 12 (2021)
Druh dokumentu: article
ISSN: 1664-3224
DOI: 10.3389/fimmu.2021.666163
Popis: The reason why most individuals with COVID-19 have relatively limited symptoms while other develop respiratory distress with life-threatening complications remains unknown. Increasing evidence suggests that COVID-19 associated adverse outcomes mainly rely on dysregulated immunity. Here, we compared transcriptomic profiles of blood cells from 103 patients with different severity levels of COVID-19 with that of 27 healthy and 22 influenza-infected individuals. Data provided a complete overview of SARS-CoV-2-induced immune signature, including a dramatic defect in IFN responses, a reduction of toxicity-related molecules in NK cells, an increased degranulation of neutrophils, a dysregulation of T cells, a dramatic increase in B cell function and immunoglobulin production, as well as an important over-expression of genes involved in metabolism and cell cycle in patients infected with SARS-CoV-2 compared to those infected with influenza viruses. These features also differed according to COVID-19 severity. Overall and specific gene expression patterns across groups can be visualized on an interactive website (https://bix.unil.ch/covid/). Collectively, these transcriptomic host responses to SARS-CoV-2 infection are discussed in the context of current studies, thereby improving our understanding of COVID-19 pathogenesis and shaping the severity level of COVID-19.
Databáze: Directory of Open Access Journals