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Dynamic Changes of Lymphocyte Subsets in the Course of COVID-19

Authors
  • Rezaei, Mitra
  • Marjani, Majid
  • Mahmoudi, Shima
  • Mortaz, Esmaeil
  • Mansouri, Davood
Type
Published Article
Journal
International Archives of Allergy and Immunology
Publisher
S. Karger AG
Publication Date
Jan 26, 2021
Volume
182
Issue
3
Pages
254–262
Identifiers
DOI: 10.1159/000514202
PMID: 33498051
Source
Karger
Keywords
License
Green
External links

Abstract

Background: Although the pathophysiology of coronavirus disease 2019 (COVID-19) is not clearly defined, among the proposed mechanisms, immune system dysfunction is more likely than others. The aim of this study was to clarify the characteristics and clinical significance of dynamic changes of lymphocyte subsets in the course of COVID-19. Methods: In this prospective study, the levels of peripheral lymphocyte subsets including CD4<sup>+</sup>, CD8<sup>+</sup>, CD4<sup>+</sup>CD25<sup>+</sup>FOXP3<sup>+</sup>, CD38<sup>+</sup>, CD3<sup>+</sup>HLA-DR<sup>+</sup>, CD19<sup>+</sup>, CD20<sup>+</sup>, and CD16<sup>+</sup>CD56<sup>+</sup> cells were measured by flow cytometry in 52 confirmed hospitalized patients with COVID-19 at the day of admission and after 7 days of care. Clinical response was defined as improvement in symptoms (fever, dyspnea, and cough as well as blood oxygen saturation), and patients who met these criteria after 1 week of admission were classified as early responders; others who survived and finally discharged from the hospital were classified as late responders and patients who died were categorized as nonresponders. Immunophenotyping of studied cell changes on the first day of admission and 7 days after treatment were compared. Besides, the correlation between cellular subset variation and clinical response and outcome were analyzed. Results: Total counts of white blood cell, T cells, CD4<sup>+</sup> T cells, CD8<sup>+</sup> T cells, CD38<sup>+</sup> lymphocytes, and CD3<sup>+</sup>HLA-DR<sup>+</sup> lymphocytes were significantly increased in both early and late responders. No statistically significant difference was observed in CD4<sup>+</sup>/CD8<sup>+</sup> ratio, B cells, FOXP3<sup>+</sup>T<sub>reg</sub> lymphocytes, and FOXP3 median fluorescence intensity among studied groups. According to the multivariate analysis, an increase in CD4<sup>+</sup> T cells (p = 0.019), CD8<sup>+</sup> T cells (p = 0.001), and administration of interferon (p < 0.001) were independent predictors of clinical response. Conclusion: We found an increasing trend in total T cells, T helpers, cytotoxic T cells, activated lymphocytes, and natural killer cells among responders. This trend was not statistically significant among nonresponders. The findings of this study may enhance our knowledge about the pathogenesis of COVID-19.

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