4.8 Article

Peripheral CD4+ T cell subsets and antibody response in COVID-19 convalescent individuals

Journal

JOURNAL OF CLINICAL INVESTIGATION
Volume 130, Issue 12, Pages 6588-6599

Publisher

AMER SOC CLINICAL INVESTIGATION INC
DOI: 10.1172/JCI141054

Keywords

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Funding

  1. Six Talent Peaks Project in Jiangsu Province [2017-WSN-186]
  2. National Natural Science Foundation of China (NSFC) [81970759]

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BACKGROUND. Marked progress is achieved in understanding the physiopathology of coronavirus disease 2019 (COVID-19), which caused a global pandemic. However, the CD4(+) T cell population critical for antibody response in COVID-19 is poorly understood. METHODS. In this study, we provided a comprehensive analysis of peripheral CD4(+) T cells from 13 COVID-19 convalescent patients, defined as confirmed free of SARS-CoV-2 for 2 to 4 weeks, using flow cytometry and magnetic chemiluminescence enzyme antibody immunoassay. The data were correlated with clinical characteristics. RESULTS. We observed that, relative to healthy individuals, convalescent patients displayed an altered peripheral CD4(+) T cell spectrum. Specifically, consistent with other viral infections, cTfh1 cells associated with SARS-CoV-2-targeting antibodies were found in COVID-19 covalescent patients. Individuals with severe disease showed higher frequencies of Tern and Tfh-em cells but lower frequencies of Tcm, Tfh-cm, Tfr, and Tnaive cells, compared with healthy individuals and patients with mild and moderate disease. Interestingly, a higher frequency of cTfh-em cells correlated with a lower blood oxygen level, recorded at the time of admission, in convalescent patients. These observations might constitute residual effects by which COVID-19 can impact the homeostasis of CD4(+) T cells in the long-term and explain the highest ratio of class-switched virus-specific antibody producing individuals found in our severe COVID-19 cohort. CONCLUSION. Our study demonstrated a close connection between CD4(+) T cells and antibody production in COVID-19 convalescent patients.

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