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Tracking antigen-specific TCR clonotypes in SARS-CoV-2 infection reveals distinct severity trajectories

Authors
Kim, Ik SooKang, Chang KyungLee, Seung JaeLee, Chang-HanKim, MinjiSeo, ChaehwaKim, GwanghunLee, SoojinPark, Kyoung SunChang, EuijinJung, JongtakSong, Kyoung-HoChoe, Pyoeng GyunPark, Wan BeomKim, Eu SukKim, Hong BinKim, Nam JoongOh, Myoung-donLee, Jong-EunShin, Hyun MuKim, Hang-Rae
Issue Date
Nov-2023
Publisher
Wiley
Keywords
BCR tracking; SARS-CoV-2; single-cell multiomics; TCR tracking
Citation
Journal of Medical Virology, v.95, no.11
Journal Title
Journal of Medical Virology
Volume
95
Number
11
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/90365
DOI
10.1002/jmv.29199
ISSN
0146-6615
1096-9071
Abstract
Despite the importance of antigen-specific T cells in infectious disease, characterizing and tracking clonally amplified T cells during the progression of a patient's symptoms remain unclear. Here, we performed a longitudinal, in-depth single-cell multiomics analysis of samples from asymptomatic, mild, usual severe, and delayed severe patients of SARS-CoV-2 infection. Our in-depth analysis revealed that hyperactive or improper T-cell responses were more aggressive in delayed severe patients. Interestingly, tracking of antigen-specific T-cell receptor (TCR) clonotypes along the developmental trajectory indicated an attenuation in functional T cells upon severity. In addition, increased glycolysis and interleukin-6 signaling in the cytotoxic T cells were markedly distinct in delayed severe patients compared to usual severe patients, particularly in the middle and late stages of infection. Tracking B-cell receptor clonotypes also revealed distinct transitions and somatic hypermutations within B cells across different levels of disease severity. Our results suggest that single-cell TCR clonotype tracking can distinguish the severity of patients through immunological hallmarks, leading to a better understanding of the severity differences in and improving the management of infectious diseases by analyzing the dynamics of immune responses over time. © 2023 Wiley Periodicals LLC.
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