Convalescent COVID-19 Patients Without Comorbidities Display Similar Immunophenotypes Over Time Despite Divergent Disease Severities

Zugehörigkeit
Institute of Virology, Technical University of Munich
Chu, Chang-Feng;
Zugehörigkeit
Central Institute for Translational Cancer Research (TranslaTUM), Technical University of Munich
Sabath, Florian;
Zugehörigkeit
Institute of Biomedical Informatics, Graz University of Technology
Fibi-Smetana, Silvia;
Zugehörigkeit
Institute of Virology, Technical University of Munich
Sun, Shan;
GND
13089074X
Zugehörigkeit
Central Institute for Translational Cancer Research (TranslaTUM), Technical University of Munich
Öllinger, Rupert;
Zugehörigkeit
Immunoanalytics-Tissue Control of Immunocytes, Helmholtz Zentrum München, German Research Center for Environmental Health
Noeßner, Elfriede;
Zugehörigkeit
Institute of Virology, Technical University of Munich
Chao, Ying-Yin;
Zugehörigkeit
Institute for Immunology, Biomedical Center, Faculty of Medicine, Ludwig-Maximilians-University Munich
Rinke, Linus;
Zugehörigkeit
Institute for Immunology, Biomedical Center, Faculty of Medicine, Ludwig-Maximilians-University Munich
Winheim, Elena;
GND
129609439
Zugehörigkeit
Central Institute for Translational Cancer Research (TranslaTUM), Technical University of Munich
Rad, Roland;
Zugehörigkeit
Institute for Immunology, Biomedical Center, Faculty of Medicine, Ludwig-Maximilians-University Munich
Krug, Anne B.;
GND
111215731X
Zugehörigkeit
Institute of Biomedical Informatics, Graz University of Technology
Taher, Leila;
GND
134108965
Zugehörigkeit
Institute of Virology, Technical University of Munich
Zielinski, Christina E.

COVID-19, the disease caused by SARS-CoV-2 infection, can assume a highly variable disease course, ranging from asymptomatic infection, which constitutes the majority of cases, to severe respiratory failure. This implies a diverse host immune response to SARS-CoV-2. However, the immunological underpinnings underlying these divergent disease courses remain elusive. We therefore set out to longitudinally characterize immune signatures of convalescent COVID-19 patients stratified according to their disease severity. Our unique convalescent COVID-19 cohort consists of 74 patients not confounded by comorbidities. This is the first study of which we are aware that excludes immune abrogations associated with non-SARS-CoV-2 related risk factors of disease severity. Patients were followed up and analyzed longitudinally (2, 4 and 6 weeks after infection) by high-dimensional flow cytometric profiling of peripheral blood mononuclear cells (PBMCs), in-depth serum analytics, and transcriptomics. Immune phenotypes were correlated to disease severity. Convalescence was overall associated with uniform immune signatures, but distinct immune signatures for mildly versus severely affected patients were detectable within a 2-week time window after infection.

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Rechte

Rechteinhaber: Copyright © 2021 Chu, Sabath, Fibi-Smetana, Sun, Öllinger, Noeßner, Chao, Rinke, Winheim, Rad, Krug, Taher and Zielinski

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Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG-geförderten) Allianz- bzw. Nationallizenz frei zugänglich.