Cargando…

CD4 T-cell transcriptome analysis reveals aberrant regulation of STAT3 and Wnt signaling pathways in rheumatoid arthritis: evidence from a case–control study

INTRODUCTION: Rheumatoid arthritis (RA) is a systemic autoimmune disease in which T cells play a pivotal role in the pathogenesis. Knowledge in terms of the CD4 T-cell transcriptome in RA is limited. The aim of this study was to examine the whole-genome transcription profile of CD4 T cells in RA by...

Descripción completa

Detalles Bibliográficos
Autores principales: Ye, Hua, Zhang, Jing, Wang, Jun, Gao, Yanyan, Du, Yan, Li, Chun, Deng, Minghua, Guo, Jianping, Li, Zhanguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4392874/
https://www.ncbi.nlm.nih.gov/pubmed/25880754
http://dx.doi.org/10.1186/s13075-015-0590-9
_version_ 1782366060021809152
author Ye, Hua
Zhang, Jing
Wang, Jun
Gao, Yanyan
Du, Yan
Li, Chun
Deng, Minghua
Guo, Jianping
Li, Zhanguo
author_facet Ye, Hua
Zhang, Jing
Wang, Jun
Gao, Yanyan
Du, Yan
Li, Chun
Deng, Minghua
Guo, Jianping
Li, Zhanguo
author_sort Ye, Hua
collection PubMed
description INTRODUCTION: Rheumatoid arthritis (RA) is a systemic autoimmune disease in which T cells play a pivotal role in the pathogenesis. Knowledge in terms of the CD4 T-cell transcriptome in RA is limited. The aim of this study was to examine the whole-genome transcription profile of CD4 T cells in RA by comparing patients with RA to healthy controls. METHODS: Peripheral blood CD4 T cells were isolated from 53 RA patients with active disease and 45 healthy individuals; 13 cases and 10 controls were enrolled in microarray analysis. The remaining 40 cases and 35 controls were recruited as an independent cohort for the validation study. Bioinformatics was performed on Gene Ontology (GO), gene-gene interaction networks, and pathway analysis. The gene modules, by combining the results from GO, gene networks, and pathway analysis, were selected for further validation. RESULTS: The CD4 T cells showed 1,496 differentially expressed (DE) genes in RA patients relative to healthy individuals. GO analysis revealed that the DE genes were enriched in immune response, T-cell response, apoptosis process, and Wnt receptor signaling. Pathway analysis also identified that ‘Wnt signaling pathway’ was differentially regulated between two groups (P = 2.78 × 10(−10)). By gene-gene network analysis, we found that the DE genes were enriched in T-cell receptor (TCR), JAK-STAT signaling, and Wnt signaling pathway. By gene module analysis, we found that a number of DE genes overlapped in the three different analyses. In total, 23 genes were selected for further validation, and nine genes were confirmed. Of these, four genes (SOCS3, CBL, IFNAR1, and PIK3CA) were involved in STAT3 (signal transducer and activator of transcription 3) signaling, and three genes (CBL, KLF9, and CSNK2A1) were involved in the Wnt signaling pathway. Additionally, several zinc finger transcription factors (ZEB1, ZNF292, and ZNF644) were confirmed. CONCLUSIONS: We report here the first case–control study of the CD4 T-cell transcriptome profile in RA. Our data provide evidence that CD4 T cells from patients with RA have abnormal functional networks in STAT3 signaling and Wnt signaling. Our results also suggest that the aberrant expression of several zinc finger transcription factors (ZEB1, ZNF292, and ZNF644) may be potential pathogenic factors for RA. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13075-015-0590-9) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-4392874
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-43928742015-04-11 CD4 T-cell transcriptome analysis reveals aberrant regulation of STAT3 and Wnt signaling pathways in rheumatoid arthritis: evidence from a case–control study Ye, Hua Zhang, Jing Wang, Jun Gao, Yanyan Du, Yan Li, Chun Deng, Minghua Guo, Jianping Li, Zhanguo Arthritis Res Ther Research Article INTRODUCTION: Rheumatoid arthritis (RA) is a systemic autoimmune disease in which T cells play a pivotal role in the pathogenesis. Knowledge in terms of the CD4 T-cell transcriptome in RA is limited. The aim of this study was to examine the whole-genome transcription profile of CD4 T cells in RA by comparing patients with RA to healthy controls. METHODS: Peripheral blood CD4 T cells were isolated from 53 RA patients with active disease and 45 healthy individuals; 13 cases and 10 controls were enrolled in microarray analysis. The remaining 40 cases and 35 controls were recruited as an independent cohort for the validation study. Bioinformatics was performed on Gene Ontology (GO), gene-gene interaction networks, and pathway analysis. The gene modules, by combining the results from GO, gene networks, and pathway analysis, were selected for further validation. RESULTS: The CD4 T cells showed 1,496 differentially expressed (DE) genes in RA patients relative to healthy individuals. GO analysis revealed that the DE genes were enriched in immune response, T-cell response, apoptosis process, and Wnt receptor signaling. Pathway analysis also identified that ‘Wnt signaling pathway’ was differentially regulated between two groups (P = 2.78 × 10(−10)). By gene-gene network analysis, we found that the DE genes were enriched in T-cell receptor (TCR), JAK-STAT signaling, and Wnt signaling pathway. By gene module analysis, we found that a number of DE genes overlapped in the three different analyses. In total, 23 genes were selected for further validation, and nine genes were confirmed. Of these, four genes (SOCS3, CBL, IFNAR1, and PIK3CA) were involved in STAT3 (signal transducer and activator of transcription 3) signaling, and three genes (CBL, KLF9, and CSNK2A1) were involved in the Wnt signaling pathway. Additionally, several zinc finger transcription factors (ZEB1, ZNF292, and ZNF644) were confirmed. CONCLUSIONS: We report here the first case–control study of the CD4 T-cell transcriptome profile in RA. Our data provide evidence that CD4 T cells from patients with RA have abnormal functional networks in STAT3 signaling and Wnt signaling. Our results also suggest that the aberrant expression of several zinc finger transcription factors (ZEB1, ZNF292, and ZNF644) may be potential pathogenic factors for RA. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13075-015-0590-9) contains supplementary material, which is available to authorized users. BioMed Central 2015-03-22 2015 /pmc/articles/PMC4392874/ /pubmed/25880754 http://dx.doi.org/10.1186/s13075-015-0590-9 Text en © Ye et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 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
Ye, Hua
Zhang, Jing
Wang, Jun
Gao, Yanyan
Du, Yan
Li, Chun
Deng, Minghua
Guo, Jianping
Li, Zhanguo
CD4 T-cell transcriptome analysis reveals aberrant regulation of STAT3 and Wnt signaling pathways in rheumatoid arthritis: evidence from a case–control study
title CD4 T-cell transcriptome analysis reveals aberrant regulation of STAT3 and Wnt signaling pathways in rheumatoid arthritis: evidence from a case–control study
title_full CD4 T-cell transcriptome analysis reveals aberrant regulation of STAT3 and Wnt signaling pathways in rheumatoid arthritis: evidence from a case–control study
title_fullStr CD4 T-cell transcriptome analysis reveals aberrant regulation of STAT3 and Wnt signaling pathways in rheumatoid arthritis: evidence from a case–control study
title_full_unstemmed CD4 T-cell transcriptome analysis reveals aberrant regulation of STAT3 and Wnt signaling pathways in rheumatoid arthritis: evidence from a case–control study
title_short CD4 T-cell transcriptome analysis reveals aberrant regulation of STAT3 and Wnt signaling pathways in rheumatoid arthritis: evidence from a case–control study
title_sort cd4 t-cell transcriptome analysis reveals aberrant regulation of stat3 and wnt signaling pathways in rheumatoid arthritis: evidence from a case–control study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4392874/
https://www.ncbi.nlm.nih.gov/pubmed/25880754
http://dx.doi.org/10.1186/s13075-015-0590-9
work_keys_str_mv AT yehua cd4tcelltranscriptomeanalysisrevealsaberrantregulationofstat3andwntsignalingpathwaysinrheumatoidarthritisevidencefromacasecontrolstudy
AT zhangjing cd4tcelltranscriptomeanalysisrevealsaberrantregulationofstat3andwntsignalingpathwaysinrheumatoidarthritisevidencefromacasecontrolstudy
AT wangjun cd4tcelltranscriptomeanalysisrevealsaberrantregulationofstat3andwntsignalingpathwaysinrheumatoidarthritisevidencefromacasecontrolstudy
AT gaoyanyan cd4tcelltranscriptomeanalysisrevealsaberrantregulationofstat3andwntsignalingpathwaysinrheumatoidarthritisevidencefromacasecontrolstudy
AT duyan cd4tcelltranscriptomeanalysisrevealsaberrantregulationofstat3andwntsignalingpathwaysinrheumatoidarthritisevidencefromacasecontrolstudy
AT lichun cd4tcelltranscriptomeanalysisrevealsaberrantregulationofstat3andwntsignalingpathwaysinrheumatoidarthritisevidencefromacasecontrolstudy
AT dengminghua cd4tcelltranscriptomeanalysisrevealsaberrantregulationofstat3andwntsignalingpathwaysinrheumatoidarthritisevidencefromacasecontrolstudy
AT guojianping cd4tcelltranscriptomeanalysisrevealsaberrantregulationofstat3andwntsignalingpathwaysinrheumatoidarthritisevidencefromacasecontrolstudy
AT lizhanguo cd4tcelltranscriptomeanalysisrevealsaberrantregulationofstat3andwntsignalingpathwaysinrheumatoidarthritisevidencefromacasecontrolstudy