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T cell-mediated Immune response and correlates of inflammation and their relationship with COVID-19 clinical severity: not an intuitive guess.

Authors :
Pena NM
Santana LC
Hunter JR
Blum VF
Vergara T
Gouvea C
Leal E
Bellei N
Schechter M
Diaz RS
Source :
BMC infectious diseases [BMC Infect Dis] 2024 Jun 20; Vol. 24 (1), pp. 612. Date of Electronic Publication: 2024 Jun 20.
Publication Year :
2024

Abstract

Background: Predictors of the outcome of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection remain to be fully determined. We evaluated selected viral characteristics and immunological responses that might predict and/or correlate to the clinical outcome of COVID-19.<br />Methods: For individuals developing divergent clinical outcomes, the magnitude and breadth of T cell-mediated responses were measured within 36 h of symptom onset. Peripheral Blood Mononuclear Cells (PBMCs) were subjected to in vitro stimulation with SARS-CoV-2-based peptides. In addition, SARS-CoV-2 sequences were generated by metagenome, and HLA typing was performed using Luminex technology.<br />Findings: CD4 <superscript>+</superscript> T cell activation was negatively correlated with SARS-CoV-2 basal viral load in patients with severe COVID-19 (p = 0·043). The overall cellular immune response, as inferred by the IFN-γ signal, was higher at baseline for patients who progressed to mild disease compared to patients who progressed to severe disease (p = 0·0044). Subjects with milder disease developed higher T cell responses for MHC class I and II-restricted peptides (p = 0·033).<br />Interpretation: Mounting specific cellular immune responses in the first days after symptom onset, as inferred by IFN-γ magnitude in the ELISPOT assay, may efficiently favor a positive outcome. In contrast, progression to severe COVID-19 was accompanied by stronger cellular immune responses, higher CD4 + T cell activation, and a higher number of in silico predicted high-affinity class I HLA alleles.<br /> (© 2024. The Author(s).)

Details

Language :
English
ISSN :
1471-2334
Volume :
24
Issue :
1
Database :
MEDLINE
Journal :
BMC infectious diseases
Publication Type :
Academic Journal
Accession number :
38902613
Full Text :
https://doi.org/10.1186/s12879-024-09490-y