Mass cytometry and artificial intelligence define CD169 as a specific marker of SARS-CoV2-induced acute respiratory distress syndrome

Autor: Murielle Gregoire, Isabelle Bezier, Le Gallou S, Tiwari, Jean Feuillard, Michel Cogné, Juliette Ferrant, C. Verdy, Maelle Latour, Jean-Marc Tadié, Reizine F, Karin Tarte, Joelle Dulong, Sarah H. Carl, Lesouhaitier M, Simon Léonard, Mikael Roussel, M. Cornic, Nadège Bescher
Rok vydání: 2020
Předmět:
DOI: 10.1101/2020.09.22.307975
Popis: Acute respiratory distress syndrome (ARDS) is the main complication of COVID-19, requiring admission to Intensive Care Unit (ICU). Despite recent immune profiling of COVID-19 patients, to what extent COVID-19-associated ARDS specifically differs from other causes of ARDS remains unknown, To address this question, we built 3 cohorts of patients categorized in COVID-19negARDSpos, COVID-19posARDSpos, and COVID-19posARDSneg, and compared their immune landscape analyzed by high-dimensional mass cytometry on peripheral blood followed by artificial intelligence analysis. A cell signature associating S100A9/calprotectin-producing CD169pos monocytes, plasmablasts, and Th1 cells was specifically found in COVID-19posARDSpos, unlike COVID-19negARDSpos patients. Moreover, this signature was shared by COVID-19posARDSneg patients, suggesting severe COVID-19 patients, whatever they experienced or not ARDS, displayed similar immune dysfunctions. We also showed an increase in CD14posHLA-DRlow and CD14lowCD16pos monocytes correlated to the occurrence of adverse events during ICU stay. Our study demonstrates that COVID-19-associated ARDS display a specific immune profile, and might benefit from personalized therapy in addition to standard ARDS management.One Sentence SummaryCOVID-19-associated ARDS is biologically distinct from other causes of ARDS.
Databáze: OpenAIRE