| Autor: |
Vujkovic, Alexandra, Ha, My, Block, Tessa de, Petersen, Lida van, Brosius, Isabel, Theunissen, Caroline, Ierssel, Sabrina H van, Bartholomeus, Esther, Adriaensen, Wim, Vanham, Guido, Elias, George, Damme, Pierre Van, Tendeloo, Viggo Van, Beutels, Philippe, Frankenhuijsen, Maartje van, Vlieghe, Erika, Ogunjimi, Benson, Laukens, Kris, Meysman, Pieter, Vercauteren, Koen |
| Předmět: |
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| Zdroj: |
Journal of Infectious Diseases; 2/15/2024, Vol. 229 Issue 2, p507-516, 10p |
| Abstrakt: |
T-cell–based diagnostic tools identify pathogen exposure but lack differentiation between recent and historical exposures in acute infectious diseases. Here, T-cell receptor (TCR) RNA sequencing was performed on HLA-DR+/CD38+CD8+ T-cell subsets of hospitalized coronavirus disease 2019 (COVID-19) patients (n = 30) and healthy controls (n = 30; 10 of whom had previously been exposed to severe acute respiratory syndrome coronavirus 2 [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 area under the curve 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 historical exposure. In essence, this work presents a new paradigm for applying the T-cell repertoire to accomplish TCR-based diagnostics. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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