Publication
Title
Diagnosing viral infections through T cell receptor sequencing of activated CD8+ T cells
Author
Abstract
T cell-based diagnostic tools identify pathogen exposure, but lack differentiation between recent and historic exposures in acute infectious diseases. Here, T cell receptor (TCR) RNA sequencing was performed on HLADR+/CD38+ CD8+ T cell subsets of hospitalized COVID-19 patients (n = 30) and healthy controls (n = 30; ten of whom had previously been exposed to SARS-CoV-2). CDR3α and CDR3β TCR regions were clustered separately before epitope specificity annotation using a database of SARS-CoV-2 associated CDR3α and CDR3β sequences corresponding to >1000 SARS-CoV-2 epitopes. The depth of the SARS-CoV-2 associated CDR3α/β sequences differentiated COVID-19 patients from the healthy controls with a receiver operating characteristic curve (ROC) area under the curve (AUC) of 0.84 ± 0.10. Hence, annotating TCR sequences of activated CD8+ T cells can be used to diagnose an acute viral infection and discriminate it from historic exposure. In essence, this work presents a new paradigm of applying the T cell repertoire to accomplish TCR-based diagnostics.
Language
English
Source (journal)
The journal of infectious diseases. - Chicago, Ill.
Publication
Chicago, Ill. : 2024
ISSN
0022-1899
DOI
10.1093/INFDIS/JIAD430
Volume/pages
229 :2 (2024) , p. 507-516
ISI
001086250000001
Pubmed ID
37787611
Full text (Publisher's DOI)
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Project info
T-cell receptor diversity and AT-rich DNA sensing by glial cells as key features in controlling neurological varicella-zoster virus infections.
Research Program Artificial Intelligence
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 04.10.2023
Last edited 12.08.2024
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