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Diagnosing Viral Infections Through T-Cell Receptor Sequencing of Activated CD8+ T Cells.
Vujkovic, Alexandra; Ha, My; de Block, Tessa; van Petersen, Lida; Brosius, Isabel; Theunissen, Caroline; van Ierssel, Sabrina H; Bartholomeus, Esther; Adriaensen, Wim; Vanham, Guido; Elias, George; Van Damme, Pierre; Van Tendeloo, Viggo; Beutels, Philippe; van Frankenhuijsen, Maartje; Vlieghe, Erika; Ogunjimi, Benson; Laukens, Kris; Meysman, Pieter; Vercauteren, Koen.
  • Vujkovic A; Clinical Virology Unit, Department of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.
  • Ha M; Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium.
  • de Block T; Adrem Data Lab, Department of Computer Science, University of Antwerp, Antwerp, Belgium.
  • van Petersen L; Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium.
  • Brosius I; Antwerp Center for Translational Immunology and Virology (ACTIV), Antwerp, Belgium.
  • Theunissen C; Centre for Health Economics Research and Modeling Infectious Diseases (CHERMID), University of Antwerp, Belgium.
  • van Ierssel SH; Vaccine and Infectious Disease Institute, University of Antwerp, Belgium.
  • Bartholomeus E; Department of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.
  • Adriaensen W; Department of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.
  • Vanham G; Department of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.
  • Elias G; Department of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.
  • Van Damme P; Department of General Internal Medicine, Infectious Diseases and Tropical Medicine, University Hospital Antwerp, Belgium.
  • Van Tendeloo V; Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium.
  • Beutels P; Antwerp Center for Translational Immunology and Virology (ACTIV), Antwerp, Belgium.
  • van Frankenhuijsen M; Clinical Immunology Unit, Department of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.
  • Vlieghe E; Biomedical Department, Institute of Tropical Medicine, Antwerp, Belgium.
  • Ogunjimi B; Laboratory of Experimental Hematology, Faculty of Medicine and Health Sciences, University of Antwerp, Belgium.
  • Laukens K; Vaccine and Infectious Disease Institute, University of Antwerp, Belgium.
  • Meysman P; Laboratory of Experimental Hematology, Faculty of Medicine and Health Sciences, University of Antwerp, Belgium.
  • Vercauteren K; Antwerp Unit for Data Analysis and Computation in Immunology and Sequencing (AUDACIS), University of Antwerp, Antwerp, Belgium.
J Infect Dis ; 229(2): 507-516, 2024 Feb 14.
Article en En | MEDLINE | ID: mdl-37787611
ABSTRACT
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 CDR3ß TCR regions were clustered separately before epitope specificity annotation using a database of SARS-CoV-2-associated CDR3α and CDR3ß sequences corresponding to >1000 SARS-CoV-2 epitopes. The depth of the SARS-CoV-2-associated CDR3α/ß 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.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Linfocitos T CD8-positivos / COVID-19 Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Linfocitos T CD8-positivos / COVID-19 Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Año: 2024 Tipo del documento: Article