Evidence map›Paper›PMID 35567717›Full record

ArticleGenes & genomics2022

Comprehensive analysis of TCR repertoire of COVID-19 patients in different infected stage.

Guangyu Wang, Yongsi Wang, Shaofeng Jiang, Wentao Fan, Chune Mo, Weiwei Gong, Hui Chen, Dan He, Jinqing Huang, Minglin Ou and 1 more

Abstract read
In one paragraph

Article in Genes & genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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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

11 authors.

Guangyu Wang *Central Laboratory, Guangxi Health Commission Key Laboratory of Glucose and Lipid Metabolism Disorders, The Second Affiliated Hospital of Guilin Medical University, Guilin, 541199, China.
Yongsi Wang *Guangzhou Huayin Health Medical Group Co., Ltd, Guangzhou, China.
Shaofeng Jiang *Guangxi Key Laboratory of Tumor Immunology and Microenvironmental Regulation, Guilin Medical University, Guilin, 541199, Guangxi, China.
Wentao FanGuangzhou Huayin Health Medical Group Co., Ltd, Guangzhou, China.
Chune MoCentral Laboratory, Guangxi Health Commission Key Laboratory of Glucose and Lipid Metabolism Disorders, The Second Affiliated Hospital of Guilin Medical University, Guilin, 541199, China.
Weiwei GongCentral Laboratory, Guangxi Health Commission Key Laboratory of Glucose and Lipid Metabolism Disorders, The Second Affiliated Hospital of Guilin Medical University, Guilin, 541199, China.
Hui ChenGuangzhou Huayin Health Medical Group Co., Ltd, Guangzhou, China.
Dan HeGuangzhou Huayin Health Medical Group Co., Ltd, Guangzhou, China.
Jinqing HuangGuangxi Key Laboratory of Tumor Immunology and Microenvironmental Regulation, Guilin Medical University, Guilin, 541199, Guangxi, China.
Minglin OuCentral Laboratory, Guangxi Health Commission Key Laboratory of Glucose and Lipid Metabolism Disorders, The Second Affiliated Hospital of Guilin Medical University, Guilin, 541199, China. minglinou@glmc.edu.cn.
Xianliang HouCentral Laboratory, Guangxi Health Commission Key Laboratory of Glucose and Lipid Metabolism Disorders, The Second Affiliated Hospital of Guilin Medical University, Guilin, 541199, China. houxianliang@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe current pandemic of coronavirus disease 2019 (COVID-19), transmitted person-to-person by the severe acute respiratory syndrome of coronavirus 2 (SARS-CoV-2), poses a threat to global public health.

objectiveIn this study, we performed the comprehensive analysis of the T cell receptor (TCR) repertoire may contribute to a more in-depth understanding of the pathogenesis of COVID-19.

methodsA comprehensive immunological analysis was performed to explore the features of the TCR repertoire and identified TCR sequences correlated with SARS-CoV-2 viral antigens.

resultswe analyzed the COVID-19 patients' TCR repertoires in peripheral blood mononuclear cells (PBMC) which obtained before (baseline), during (acute), and after rehabilitation (convalescent) by ImmunoSEQ-technology, and found that repertoire features of TCRβ-chain (TCRβ) complementary-determining region 3 (CDR3) in COVID-19 patients were remarkable difference, including decreased TCR diversity, abnormal CDR3 length, difference of TRBV/J gene usage and higher TCR sequence overlap. Besides, we identified some COVID-19 disease-associated TCRβ clones, and the abundance of them changed with the progression of the disease. Importantly, these disease-associated TCRβ clones could be used to distinguish COVID-19 patients from healthy controls with high accuracy.

conclusionsWe provide a clear understanding of the TCR repertoire of COVID-19 patients, which lays the foundation for better diagnosis and treatment of COVID-19 patients.

Indexed as

COVID-19Receptors, Antigen, T-Cell, alpha-betaHumansLeukocytes, MononuclearSARS-CoV-2Receptors, Antigen, T-Cell, alpha-betaCoronavirus disease 2019SARS-CoV-2T cell receptor

Identifiers

PMID35567717
PMCPMC9107015

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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 OpenQuestion graph.