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High-throughput sequencing of CD4(+) T cell repertoire reveals disease-specific signatures in IgG4-related disease

BACKGROUND: CD4(+) T cells play critical roles in the pathogenesis of IgG4-related disease (IgG4-RD). The aim of this study was to investigate the TCR repertoire of peripheral blood CD4(+) T cells in IgG4-RD. METHODS: The peripheral blood was collected from six healthy controls and eight IgG4-RD pat...

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Autores principales: Wang, Liwen, Zhang, Panpan, Li, Jieqiong, Lu, Hui, Peng, Linyi, Ling, Jing, Zhang, Xuan, Zeng, Xiaofeng, Zhao, Yan, Zhang, Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6923942/
https://www.ncbi.nlm.nih.gov/pubmed/31856905
http://dx.doi.org/10.1186/s13075-019-2069-6
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author Wang, Liwen
Zhang, Panpan
Li, Jieqiong
Lu, Hui
Peng, Linyi
Ling, Jing
Zhang, Xuan
Zeng, Xiaofeng
Zhao, Yan
Zhang, Wen
author_facet Wang, Liwen
Zhang, Panpan
Li, Jieqiong
Lu, Hui
Peng, Linyi
Ling, Jing
Zhang, Xuan
Zeng, Xiaofeng
Zhao, Yan
Zhang, Wen
author_sort Wang, Liwen
collection PubMed
description BACKGROUND: CD4(+) T cells play critical roles in the pathogenesis of IgG4-related disease (IgG4-RD). The aim of this study was to investigate the TCR repertoire of peripheral blood CD4(+) T cells in IgG4-RD. METHODS: The peripheral blood was collected from six healthy controls and eight IgG4-RD patients. TCR β-chain libraries of CD4(+) T cells were constructed by 5′-rapid amplification of cDNA ends (5′-RACE) and sequenced by Illumina Miseq platform. The relative similarity of TCR repertoires between samples was evaluated according to the total frequencies of shared clonotypes (metric F), correlation of frequencies of shared clonotypes (metric R), and total number of shared clonotypes (metric D). RESULTS: The clonal expansion and diversity of CD4(+) T cell repertoire were comparable between healthy controls and IgG4-RD patients, while the proportion of expanded and coding degenerated clones, as an indicator of antigen-driven clonal expansion, was significantly higher in IgG4-RD patients. There was no significant difference in TRBV and TRBJ gene usage between healthy controls and IgG4-RD patients. The complementarity determining region 3 (CDR3) length distribution was skewed towards longer fragments in IgG4-RD. Visualization of relative similarity of TCR repertoires by multi-dimensional scaling analysis showed that TCR repertoires of IgG4-RD patients were separated from that of healthy controls in F and D metrics. We identified 11 IgG4-RD-specific CDR3 amino acid sequences that were expanded in at least 2 IgG4-RD patients, while not detected in healthy controls. According to TCR clonotype networks constructed by connecting all the CDR3 sequences with a Levenshtein distance of 1, 3 IgG4-RD-specific clusters were identified. We annotated the TCR sequences with known antigen specificity according to McPAS-TCR database and found that the frequencies of TCR sequences associated with each disease or immune function were comparable between healthy controls and IgG4-RD patients. CONCLUSION: According to our study of CD4(+) T cells from eight IgG4-RD patients, TCR repertoires of IgG4-RD patients were different from that of healthy controls in the proportion of expanded and coding degenerated clones and CDR3 length distribution. In addition, IgG4-RD-specific TCR sequences and clusters were identified in our study.
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spelling pubmed-69239422019-12-30 High-throughput sequencing of CD4(+) T cell repertoire reveals disease-specific signatures in IgG4-related disease Wang, Liwen Zhang, Panpan Li, Jieqiong Lu, Hui Peng, Linyi Ling, Jing Zhang, Xuan Zeng, Xiaofeng Zhao, Yan Zhang, Wen Arthritis Res Ther Research Article BACKGROUND: CD4(+) T cells play critical roles in the pathogenesis of IgG4-related disease (IgG4-RD). The aim of this study was to investigate the TCR repertoire of peripheral blood CD4(+) T cells in IgG4-RD. METHODS: The peripheral blood was collected from six healthy controls and eight IgG4-RD patients. TCR β-chain libraries of CD4(+) T cells were constructed by 5′-rapid amplification of cDNA ends (5′-RACE) and sequenced by Illumina Miseq platform. The relative similarity of TCR repertoires between samples was evaluated according to the total frequencies of shared clonotypes (metric F), correlation of frequencies of shared clonotypes (metric R), and total number of shared clonotypes (metric D). RESULTS: The clonal expansion and diversity of CD4(+) T cell repertoire were comparable between healthy controls and IgG4-RD patients, while the proportion of expanded and coding degenerated clones, as an indicator of antigen-driven clonal expansion, was significantly higher in IgG4-RD patients. There was no significant difference in TRBV and TRBJ gene usage between healthy controls and IgG4-RD patients. The complementarity determining region 3 (CDR3) length distribution was skewed towards longer fragments in IgG4-RD. Visualization of relative similarity of TCR repertoires by multi-dimensional scaling analysis showed that TCR repertoires of IgG4-RD patients were separated from that of healthy controls in F and D metrics. We identified 11 IgG4-RD-specific CDR3 amino acid sequences that were expanded in at least 2 IgG4-RD patients, while not detected in healthy controls. According to TCR clonotype networks constructed by connecting all the CDR3 sequences with a Levenshtein distance of 1, 3 IgG4-RD-specific clusters were identified. We annotated the TCR sequences with known antigen specificity according to McPAS-TCR database and found that the frequencies of TCR sequences associated with each disease or immune function were comparable between healthy controls and IgG4-RD patients. CONCLUSION: According to our study of CD4(+) T cells from eight IgG4-RD patients, TCR repertoires of IgG4-RD patients were different from that of healthy controls in the proportion of expanded and coding degenerated clones and CDR3 length distribution. In addition, IgG4-RD-specific TCR sequences and clusters were identified in our study. BioMed Central 2019-12-19 2019 /pmc/articles/PMC6923942/ /pubmed/31856905 http://dx.doi.org/10.1186/s13075-019-2069-6 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Wang, Liwen
Zhang, Panpan
Li, Jieqiong
Lu, Hui
Peng, Linyi
Ling, Jing
Zhang, Xuan
Zeng, Xiaofeng
Zhao, Yan
Zhang, Wen
High-throughput sequencing of CD4(+) T cell repertoire reveals disease-specific signatures in IgG4-related disease
title High-throughput sequencing of CD4(+) T cell repertoire reveals disease-specific signatures in IgG4-related disease
title_full High-throughput sequencing of CD4(+) T cell repertoire reveals disease-specific signatures in IgG4-related disease
title_fullStr High-throughput sequencing of CD4(+) T cell repertoire reveals disease-specific signatures in IgG4-related disease
title_full_unstemmed High-throughput sequencing of CD4(+) T cell repertoire reveals disease-specific signatures in IgG4-related disease
title_short High-throughput sequencing of CD4(+) T cell repertoire reveals disease-specific signatures in IgG4-related disease
title_sort high-throughput sequencing of cd4(+) t cell repertoire reveals disease-specific signatures in igg4-related disease
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6923942/
https://www.ncbi.nlm.nih.gov/pubmed/31856905
http://dx.doi.org/10.1186/s13075-019-2069-6
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