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Published on: September 10, 2017
A comparative analysis of TCR immune repertoire in COVID-19 patients
1School of Computer and Control Engineering, Yantai University, Yantai, Shandong, China; Lead Contact.
Abstract:
The coronavirus disease 2019 (COVID-19) has merged as a global health threat since its outbreak in December 2019. Despite widespread recognition, there has been a paucity of studies focusing on the T cell receptor (TCR) bias in adaptive immunity induced by SARS-CoV-2. This research conducted a comparative analysis of the TCR immune repertoire to identify notable αβ TCR bias sequences associated with the SARS-CoV-2 virus antigen. The present study encompassed 73 symptomatic COVID-19 patients, categorized as moderate/mild or severe/critical, along with 9 healthy controls. Our findings revealed specific TCR chains prominently utilized by moderate and severe patients, identified as TRAV30-J34-TRBV3-1-J2-7 and TRAV12-3-J6-TRBV28-J1-1, respectively. Additionally, our research explored critical TCR preferences in the bronchoalveolar lavage fluid (BALF) of COVID-19 patients at various disease stages. Indeed, monitoring the dynamics of immune repertoire changes in COVID-19 patients could serve as a crucial biomarker for predicting disease progression and recovery. Furthermore, the study explored TCR bias in both peripheral blood mononuclear cells (PBMCs) and BALF. The most common αβ VJ pair observed in BALF was TRAV12-3-J18-TRBV7-6-J2-7. In addition, a comparative analysis with the VDJdb database indicated that the HLA-A*02:01 allele exhibited the widest distribution and highest frequency in COVID-19 patients across different periods. This comprehensive examination provided a global characterization of the TCR immune repertoire in COVID-19 patients, contributing significantly to our understanding of TCR bias induced by SARS-CoV-2.
Insights
This study identified specific T cell receptor (TCR) sequences linked to SARS-CoV-2 infection in COVID-19 patients. Monitoring these TCR immune repertoires may help predict disease progression and recovery.
Area of Science:
- Immunology
- Virology
- Genomics
Background:
- The COVID-19 pandemic caused by SARS-CoV-2 has highlighted gaps in understanding adaptive immunity.
- Research on T cell receptor (TCR) bias in SARS-CoV-2 infection is limited, despite its importance in immune response.
Purpose of the Study:
- To conduct a comparative analysis of the TCR immune repertoire in COVID-19 patients.
- To identify specific TCR bias sequences associated with SARS-CoV-2 antigen.
- To explore TCR preferences in different disease severities and sample types (PBMCs and BALF).
Main Methods:
- Comparative analysis of TCR immune repertoire in 73 symptomatic COVID-19 patients (moderate/mild and severe/critical) and 9 healthy controls.
- Analysis of TCR sequences in peripheral blood mononuclear cells (PBMCs) and bronchoalveolar lavage fluid (BALF).
- Comparison with the VDJdb database to identify common HLA alleles.
Main Results:
- Identified specific TCR chains (TRAV30-J34-TRBV3-1-J2-7 and TRAV12-3-J6-TRBV28-J1-1) associated with moderate and severe COVID-19, respectively.
- The most common αβ VJ pair in BALF was TRAV12-3-J18-TRBV7-6-J2-7.
- HLA-A*02:01 allele showed the widest distribution and highest frequency in COVID-19 patients.
Conclusions:
- Specific TCR biases are associated with SARS-CoV-2 infection.
- Monitoring TCR immune repertoire dynamics can serve as a biomarker for COVID-19 progression and recovery.
- This study provides a global characterization of the TCR immune repertoire in COVID-19, enhancing understanding of SARS-CoV-2-induced TCR bias.
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