Integration of T cell repertoire, CyTOF, genotyping and symptomatology data reveals subphenotypic variability in COVID-19 patients.

ABSTRACT: COVID-19 manifests a broad spectrum of clinical outcomes, from asymptomatic cases to severe disease. While several biomarkers have been proposed, comprehensive immunological analyses integrating mass cytometry (CyTOF) and T-cell receptor sequencing (TCRseq) data remain limited. In this study, we applied the Latent Class Model based on the Bayesian Information Criterion (LCM-BIC) algorithm to integrate immunophenotyping, including monocyte-macrophage counts from CyTOF, T-cell receptor repertorie data via TCRseq, SNPs data from ACE2 (rs2285666), MX1 (rs469390), and TMPRSS2 (rs2070788), and symptomatology data from 61 Spanish COVID-19 patients (33 mild, 28 severe). We identified three novel and distinct patient clusters with significant differences in TCR diversity, monoc

SUBMITTER: Marin-Benesiu F 

PROVIDER: S-EPMC12152356 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature