高级检索
当前位置: 首页 > 详情页

T cell receptor b repertoires in patients with COVID-19 reveal disease severity signatures

文献详情

资源类型:
WOS体系:
Pubmed体系:

收录情况: ◇ SCIE

单位: [1]State Key Laboratory of Cardiovascular Diseases, Fuwai Hospital & National Center for Cardiovascular Diseases, Beijing, China. [2]Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China. [3]Department of Pharmacy and Department of Intensive Care Unit, Peking University Third Hospital, Beijing, China. [4]CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China. [5]University of Chinese Academy of Sciences, Beijing, China. [6]Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. [7]Department of Medical Laboratory, the Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. [8]China National Center for Bioinformation, Beijing, China. [9]Department of Immunology, School of Basic Medical Sciences, Peking University, NHC Key Laboratory of Medical Immunology (Peking University), Beijing, China. [10]Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. [11]Department of Forensic Sciences, College of Criminal Justice, Naif Arab University of Security Sciences, Riyadh, Saudi Arabia.
出处:
ISSN:

关键词: coronavirus disease 2019 T cells T cell receptor b repertoire machine learning immunology

摘要:
The immune responses to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are crucial in maintaining a delicate balance between protective effects and harmful pathological reactions that drive the progression of coronavirus disease 2019 (COVID-19). T cells play a significant role in adaptive antiviral immune responses, making it valuable to investigate the heterogeneity and diversity of SARS-CoV-2-specific T cell responses in COVID-19 patients with varying disease severity.In this study, we employed high-throughput T cell receptor (TCR) β repertoire sequencing to analyze TCR profiles in the peripheral blood of 192 patients with COVID-19, including those with moderate, severe, or critical symptoms, and compared them with 81 healthy controls. We specifically focused on SARS-CoV-2-associated TCR clonotypes.We observed a decrease in the diversity of TCR clonotypes in COVID-19 patients compared to healthy controls. However, the overall abundance of dominant clones increased with disease severity. Additionally, we identified significant differences in the genomic rearrangement of variable (V), joining (J), and VJ pairings between the patient groups. Furthermore, the SARS-CoV-2-associated TCRs we identified enabled accurate differentiation between COVID-19 patients and healthy controls (AUC > 0.98) and distinguished those with moderate symptoms from those with more severe forms of the disease (AUC > 0.8). These findings suggest that TCR repertoires can serve as informative biomarkers for monitoring COVID-19 progression.Our study provides valuable insights into TCR repertoire signatures that can be utilized to assess host immunity to COVID-19. These findings have important implications for the use of TCR β repertoires in monitoring disease development and indicating disease severity.Copyright © 2023 Xu, Li, Yuan, Li, Yang, Cheng, Lu, Hou, Zhang, Hu, Qian, Liu, Li, Wang, Chu, Dong, Liu, Ge and Yang.

基金:
语种:
被引次数:
WOS:
PubmedID:
中科院(CAS)分区:
出版当年[2022]版:
大类 | 2 区 医学
小类 | 2 区 免疫学
最新[2025]版:
大类 | 2 区 医学
小类 | 2 区 免疫学
JCR分区:
出版当年[2021]版:
Q1 IMMUNOLOGY
最新[2023]版:
Q1 IMMUNOLOGY

影响因子: 最新[2023版] 最新五年平均 出版当年[2021版] 出版当年五年平均 出版前一年[2020版] 出版后一年[2022版]

第一作者:
第一作者单位: [1]State Key Laboratory of Cardiovascular Diseases, Fuwai Hospital & National Center for Cardiovascular Diseases, Beijing, China. [2]Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
共同第一作者:
通讯作者:
通讯机构: [1]State Key Laboratory of Cardiovascular Diseases, Fuwai Hospital & National Center for Cardiovascular Diseases, Beijing, China. [2]Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China. [4]CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China. [11]Department of Forensic Sciences, College of Criminal Justice, Naif Arab University of Security Sciences, Riyadh, Saudi Arabia.
推荐引用方式(GB/T 7714):
APA:
MLA:

资源点击量:426 今日访问量:0 总访问量:408 更新日期:2025-04-01 建议使用谷歌、火狐浏览器 常见问题

版权所有:重庆聚合科技有限公司 渝ICP备12007440号-3 地址:重庆市两江新区泰山大道西段8号坤恩国际商务中心16层(401121)