Literature DB >> 29146547

A gene module associated with dysregulated TCR signaling pathways in CD4+ T cell subsets in rheumatoid arthritis.

Shuji Sumitomo1, Yasuo Nagafuchi1, Yumi Tsuchida1, Haruka Tsuchiya1, Mineto Ota1, Kazuyoshi Ishigaki2, Shinichiro Nakachi1, Rika Kato1, Keiichi Sakurai1, Norio Hanata1, Shoko Tateishi3, Hiroko Kanda3, Akari Suzuki4, Yuta Kochi4, Keishi Fujio5, Kazuhiko Yamamoto6.   

Abstract

We analyzed the transcriptome of detailed CD4+ T cell subsets including them after abatacept treatment, and examined the difference among CD4+ T cell subsets and identified gene sets that are closely associated disease activity and abatacept treatment. Seven CD4+ T cell subsets (naive, Th1, Th17, Th1/17, nonTh1/17, Tfh and Treg) were sorted from PBMCs taken from 10 RA patients and 10 healthy controls, and three RA patients donated samples before and 6 months after abatacept treatment. Paired-end RNA sequencing was performed using HiSeq 2500. A total of 149 samples except for 12 outliers were analyzed. Overview of expression pattern of RA revealed that administration of abatacept exerts a large shift toward the expression pattern of HC. Most of differentially expressed gene (DEG) upregulated in RA (n = 1776) were downregulated with abatacept treatment (n = 1349). Inversely, most of DEG downregulated in RA (n = 1860) were upregulated with abatacept treatment (n = 1294). This DEG-based analysis revealed shared pathway changes in RA CD4+ T cell subsets. Knowledge-based pathway analysis revealed the upregulation of activation-related pathways in RA that was substantially ameliorated by abatacept. Weighted gene co-expression network analysis (WGCNA) evaluated CD4+ T cells collectively and identified a gene module that consisted of 227 genes and was correlated with DAS28-CRP (Spearman's rho = 0.46, p = 4 × 10-9) and abatacept administration (Spearman's rho = -0.91, p = 5 × 10-57). The most highly connected 30 genes of this module included ZAP70 and JAK3, and pathway analysis of this module revealed dysregulation of the TCR signaling pathway network, which was ameliorated by abatacept.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Abatacept; JAK3; Rheumatoid arthritis; T cell receptor; Zap70

Mesh:

Substances:

Year:  2017        PMID: 29146547     DOI: 10.1016/j.jaut.2017.11.001

Source DB:  PubMed          Journal:  J Autoimmun        ISSN: 0896-8411            Impact factor:   7.094


  10 in total

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Journal:  J Autoimmun       Date:  2019-04-26       Impact factor: 7.094

Review 2.  Transcriptome analysis of peripheral blood from patients with rheumatoid arthritis: a systematic review.

Authors:  Shuji Sumitomo; Yasuo Nagafuchi; Yumi Tsuchida; Haruka Tsuchiya; Mineto Ota; Kazuyoshi Ishigaki; Akari Suzuki; Yuta Kochi; Keishi Fujio; Kazuhiko Yamamoto
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10.  CTLA-4-Ig internalizes CD80 in fibroblast-like synoviocytes from chronic inflammatory arthritis mouse model.

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  10 in total

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