Convalescent COVID-19 Patients Without Comorbidities Display Similar Immunophenotypes Over Time Despite Divergent Disease Severities
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 underp...
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Frontiers Media S.A.
2021
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oai:doaj.org-article:a4a5a8a224bb40909430cdabe11e93022021-11-22T12:44:56ZConvalescent COVID-19 Patients Without Comorbidities Display Similar Immunophenotypes Over Time Despite Divergent Disease Severities1664-322410.3389/fimmu.2021.601080https://doaj.org/article/a4a5a8a224bb40909430cdabe11e93022021-08-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fimmu.2021.601080/fullhttps://doaj.org/toc/1664-3224COVID-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.Chang-Feng ChuChang-Feng ChuChang-Feng ChuFlorian SabathSilvia Fibi-SmetanaShan SunShan SunRupert ÖllingerElfriede NoeßnerYing-Yin ChaoYing-Yin ChaoLinus RinkeElena WinheimRoland RadAnne B. KrugLeila TaherChristina E. ZielinskiChristina E. ZielinskiChristina E. ZielinskiFrontiers Media S.A.articleCOVID-19T cellsSARS-CoV-2immunomonitoringdisease severity assessmentImmunologic diseases. AllergyRC581-607ENFrontiers in Immunology, Vol 12 (2021) |
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COVID-19 T cells SARS-CoV-2 immunomonitoring disease severity assessment Immunologic diseases. Allergy RC581-607 |
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COVID-19 T cells SARS-CoV-2 immunomonitoring disease severity assessment Immunologic diseases. Allergy RC581-607 Chang-Feng Chu Chang-Feng Chu Chang-Feng Chu Florian Sabath Silvia Fibi-Smetana Shan Sun Shan Sun Rupert Öllinger Elfriede Noeßner Ying-Yin Chao Ying-Yin Chao Linus Rinke Elena Winheim Roland Rad Anne B. Krug Leila Taher Christina E. Zielinski Christina E. Zielinski Christina E. Zielinski Convalescent COVID-19 Patients Without Comorbidities Display Similar Immunophenotypes Over Time Despite Divergent Disease Severities |
description |
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. |
format |
article |
author |
Chang-Feng Chu Chang-Feng Chu Chang-Feng Chu Florian Sabath Silvia Fibi-Smetana Shan Sun Shan Sun Rupert Öllinger Elfriede Noeßner Ying-Yin Chao Ying-Yin Chao Linus Rinke Elena Winheim Roland Rad Anne B. Krug Leila Taher Christina E. Zielinski Christina E. Zielinski Christina E. Zielinski |
author_facet |
Chang-Feng Chu Chang-Feng Chu Chang-Feng Chu Florian Sabath Silvia Fibi-Smetana Shan Sun Shan Sun Rupert Öllinger Elfriede Noeßner Ying-Yin Chao Ying-Yin Chao Linus Rinke Elena Winheim Roland Rad Anne B. Krug Leila Taher Christina E. Zielinski Christina E. Zielinski Christina E. Zielinski |
author_sort |
Chang-Feng Chu |
title |
Convalescent COVID-19 Patients Without Comorbidities Display Similar Immunophenotypes Over Time Despite Divergent Disease Severities |
title_short |
Convalescent COVID-19 Patients Without Comorbidities Display Similar Immunophenotypes Over Time Despite Divergent Disease Severities |
title_full |
Convalescent COVID-19 Patients Without Comorbidities Display Similar Immunophenotypes Over Time Despite Divergent Disease Severities |
title_fullStr |
Convalescent COVID-19 Patients Without Comorbidities Display Similar Immunophenotypes Over Time Despite Divergent Disease Severities |
title_full_unstemmed |
Convalescent COVID-19 Patients Without Comorbidities Display Similar Immunophenotypes Over Time Despite Divergent Disease Severities |
title_sort |
convalescent covid-19 patients without comorbidities display similar immunophenotypes over time despite divergent disease severities |
publisher |
Frontiers Media S.A. |
publishDate |
2021 |
url |
https://doaj.org/article/a4a5a8a224bb40909430cdabe11e9302 |
work_keys_str_mv |
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