TY - JOUR
T1 - Convalescent COVID-19 Patients Without Comorbidities Display Similar Immunophenotypes Over Time Despite Divergent Disease Severities
AU - Chu, Chang-Feng
AU - Sabath, Florian
AU - Fibi-Smetana, Silvia
AU - Sun, Shan
AU - Öllinger, Rupert
AU - Noeßner, Elfriede
AU - Chao, Ying-Yin
AU - Rinke, Linus
AU - Winheim, Elena
AU - Rad, Roland
AU - Krug, Anne B.
AU - Taher, Leila
AU - Zielinski, Christina E.
N1 - Publisher Copyright:
© Copyright © 2021 Chu, Sabath, Fibi-Smetana, Sun, Öllinger, Noeßner, Chao, Rinke, Winheim, Rad, Krug, Taher and Zielinski.
PY - 2021/8/19
Y1 - 2021/8/19
N2 - 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.
AB - 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.
KW - COVID-19, T cells, SARS-CoV-2, immunomonitoring, disease severity assessment
KW - COVID-19
KW - immunomonitoring
KW - SARS-CoV-2
KW - T cells
KW - disease severity assessment
UR - http://www.scopus.com/inward/record.url?scp=85114286126&partnerID=8YFLogxK
U2 - 10.3389/fimmu.2021.601080
DO - 10.3389/fimmu.2021.601080
M3 - Article
SN - 1664-3224
VL - 12
SP - 1
EP - 18
JO - Frontiers in Immunology
JF - Frontiers in Immunology
M1 - 601080
ER -