Evidence map›Paper›PMID 37475855›Full record

ArticleFrontiers in immunology2023

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

Jing Xu, Xiao-Xiao Li, Na Yuan, Chao Li, Jin-Gang Yang, Li-Ming Cheng, Zhong-Xin Lu, Hong-Yan Hou, Bo Zhang, Hui Hu and 9 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 16 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors at 12 institutions in 2 countries.

Jing XuState Key Laboratory of Cardiovascular Diseases, Fuwai Hospital & National Center for Cardiovascular Diseases, Beijing, China.
Xiao-Xiao LiDepartment of Pharmacy and Department of Intensive Care Unit, Peking University Third Hospital, Beijing, China.
Na YuanCAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.
Chao LiDepartment of Pharmacy and Department of Intensive Care Unit, Peking University Third Hospital, Beijing, China.
Jin-Gang YangState Key Laboratory of Cardiovascular Diseases, Fuwai Hospital & National Center for Cardiovascular Diseases, Beijing, China.
Li-Ming ChengDepartment of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Zhong-Xin LuDepartment of Medical Laboratory, the Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Hong-Yan HouDepartment of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Bo ZhangDepartment of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Hui HuDepartment of Medical Laboratory, the Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yu QianCAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.
Xin-Xuan LiuCAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.
Guo-Chao LiCAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.
Yue-Dan WangDepartment of Immunology, School of Basic Medical Sciences, Peking University, NHC Key Laboratory of Medical Immunology (Peking University), Beijing, China.
Ming ChuDepartment of Immunology, School of Basic Medical Sciences, Peking University, NHC Key Laboratory of Medical Immunology (Peking University), Beijing, China.
Chao-Ran DongInstitute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Fan LiuCAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.
Qing-Gang GeDepartment of Pharmacy and Department of Intensive Care Unit, Peking University Third Hospital, Beijing, China.
Yue-Jin YangState Key Laboratory of Cardiovascular Diseases, Fuwai Hospital & National Center for Cardiovascular Diseases, Beijing, China.
Huazhong University of Science and Technology · CNPeking University · CNPeking University Third Hospital · CNTongji Hospital · CNUniversity of Chinese Academy of Sciences · CNBeijing Institute of Genomics · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNChinese Academy of Sciences · CNFu Wai Hospital · CNPeking Union Medical College Hospital · CNShanghai Center For Bioinformation Technology · CNState Key Laboratory of Cardiovascular Disease

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: 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. Methods: 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. Results: 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. Conclusions: 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.

Indexed as

COVID-19HumansPatient AcuityReceptors, Antigen, T-CellSARS-CoV-2T-LymphocytesReceptors, Antigen, T-Cellcoronavirus disease 2019immunologymachine learningT cell receptor β repertoireT cells

Identifiers

PMID37475855
PMCPMC10355153
OpenAlexW4383215471

What Socratic holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.