Back to Search Start Over

The T-cell repertoire of Spanish patients with COVID-19 as a strategy to link T-cell characteristics to the severity of the disease

Authors :
Fernando Marín-Benesiu
Lucia Chica-Redecillas
Verónica Arenas-Rodríguez
Esperanza de Santiago
Silvia Martínez-Diz
Ginesa López-Torres
Ana Isabel Cortés-Valverde
Catalina Romero-Cachinero
Carmen Entrala-Bernal
Francisco Javier Fernandez-Rosado
Luis Javier Martínez-González
Maria Jesus Alvarez-Cubero
Source :
Human Genomics, Vol 18, Iss 1, Pp 1-11 (2024)
Publication Year :
2024
Publisher :
BMC, 2024.

Abstract

Abstract Background The architecture and dynamics of T cell populations are critical in orchestrating the immune response to SARS-CoV-2. In our study, we used T Cell Receptor sequencing (TCRseq) to investigate TCR repertoires in 173 post-infection COVID-19 patients. Methods The cohort included 98 mild and 75 severe cases with a median age of 53. We amplified and sequenced the TCR β chain Complementary Determining Region 3 (CDR3b) and performed bioinformatic analyses to assess repertoire diversity, clonality, and V/J allelic usage between age, sex and severity groups. CDR3b amino acid sequence inference was performed by clustering structural motifs and filtering validated reactive CDR3b to COVID-19. Results Our results revealed a pronounced decrease in diversity and an increase in clonal expansion in the TCR repertoires of severe COVID-19 patients younger than 55 years old. These results reflect the observed trends in patients older than 55 years old (both mild and severe). In addition, we identified a significant reduction in the usage of key V alleles (TRBV14, TRBV19, TRBV15 and TRBV6-4) associated with disease severity. Notably, severe patients under 55 years old had allelic patterns that resemble those over 55 years old, accompanied by a skewed frequency of COVID-19-related motifs. Conclusions Present results suggest that severe patients younger than 55 may have a compromised TCR repertoire contributing to a worse disease outcome. Graphical Abstract

Details

Language :
English
ISSN :
14797364
Volume :
18
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Human Genomics
Publication Type :
Academic Journal
Accession number :
edsdoj.6e8cafa863ab40ca833c218b94590149
Document Type :
article
Full Text :
https://doi.org/10.1186/s40246-024-00654-0