Regulatory T Cells as Predictors of Clinical Course in Hospitalised COVID-19 Patients

Front Immunol. 2021 Dec 2:12:789735. doi: 10.3389/fimmu.2021.789735. eCollection 2021.

Abstract

Background: The host immune response has a prominent role in the progression and outcome of SARS-CoV-2 infection. Lymphopenia has been described as an important feature of SARS-CoV-2 infection and has been associated with severe disease manifestation. Lymphocyte dysregulation and hyper-inflammation have been shown to be associated with a more severe clinical course; however, a T cell subpopulation whose dysfunction correlate with disease progression has yet to be identify.

Methods: We performed an immuno-phenotypic analysis of T cell sub-populations in peripheral blood from patients affected by different severity of COVID-19 (n=60) and undergoing a different clinical evolution. Clinical severity was established based on a modified WHO score considering both ventilation support and respiratory capacity (PaO2/FiO2 ratio). The ability of circulating cells at baseline to predict the probability of clinical aggravation was explored through multivariate regression analyses.

Results: The immuno-phenotypic analysis performed by multi-colour flow cytometry confirmed that patients suffering from severe COVID-19 harboured significantly reduced circulating T cell subsets, especially for CD4+ T, Th1, and regulatory T cells. Peripheral T cells also correlated with parameters associated with disease severity, i.e., PaO2/FiO2 ratio and inflammation markers. CD4+ T cell subsets showed an important significant association with clinical evolution, with patients presenting markedly decreased regulatory T cells at baseline having a significantly higher risk of aggravation. Importantly, the combination of gender and regulatory T cells allowed distinguishing between improved and worsened patients with an area under the ROC curve (AUC) of 82%.

Conclusions: The present study demonstrates the association between CD4+ T cell dysregulation and COVID-19 severity and progression. Our results support the importance of analysing baseline regulatory T cell levels, since they were revealed able to predict the clinical worsening during hospitalization. Regulatory T cells assessment soon after hospital admission could thus allow a better clinical stratification and patient management.

Keywords: COVID-19; T cell subtypes; disease severity; immunophenotype; regulatory T cells.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers
  • COVID-19 / diagnosis
  • COVID-19 / epidemiology*
  • COVID-19 / immunology*
  • COVID-19 / virology
  • COVID-19 Serological Testing
  • Cytokines / blood
  • Cytokines / metabolism
  • Disease Progression
  • Hospitalization*
  • Humans
  • Immunophenotyping
  • Inflammation Mediators / blood
  • Inflammation Mediators / metabolism
  • Lymphocyte Count*
  • Prognosis
  • Public Health Surveillance
  • ROC Curve
  • SARS-CoV-2 / immunology*
  • Severity of Illness Index
  • T-Lymphocyte Subsets / immunology
  • T-Lymphocyte Subsets / metabolism
  • T-Lymphocytes, Regulatory / immunology*
  • T-Lymphocytes, Regulatory / metabolism

Substances

  • Biomarkers
  • Cytokines
  • Inflammation Mediators