bioRxivImmunology
Mass cytometry and artificial intelligence define CD169 as a specific marker of SARS-CoV2-induced acute respiratory distress syndrome
M. Roussel, J. Ferrant, F. Reizine, S. Le Gallou, J. Dulong, S. Carl, M. Lesouhaitier, M. Gregoire, N. Bescher, C. Verdy, M. Latour, I. Bezier, M. Cornic, S. Leonard, J. Feuillard, V. Tiwari, J. M. Tadie, M. Cogne, K. Tarte
Abstract
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.
- organism: human
- assay: flow cytometry
- research focus: cell type annotation
- research focus: differential expression
- research focus: cell-cell communication
- approach: experimental assay
- approach: deep learning
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