Ye Hua, Zhang Jing, Wang Jun, Gao Yanyan, Du Yan, Li Chun, Deng Minghua, Guo Jianping, Li Zhanguo
Department of Rheumatology and Immunology, Peking University People's Hospital, 11 South Xizhimen Street, Beijing, 100044, China.
School of Mathematical Sciences, Center for Quantitative Biology, Peking University, 136 North Zhong-guan-cun Street, Beijing, 100871, China.
Arthritis Res Ther. 2015 Mar 22;17(1):76. doi: 10.1186/s13075-015-0590-9.
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.
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.
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.
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.
类风湿关节炎(RA)是一种全身性自身免疫性疾病,其中T细胞在发病机制中起关键作用。关于RA中CD4 T细胞转录组的知识有限。本研究的目的是通过比较RA患者与健康对照来检查RA中CD4 T细胞的全基因组转录谱。
从53例活动性疾病的RA患者和45例健康个体中分离外周血CD4 T细胞;13例患者和10例对照纳入微阵列分析。其余40例患者和35例对照作为独立队列用于验证研究。对基因本体论(GO)、基因-基因相互作用网络和通路分析进行生物信息学分析。通过结合GO、基因网络和通路分析的结果选择基因模块进行进一步验证。
与健康个体相比,RA患者的CD4 T细胞显示出1496个差异表达(DE)基因。GO分析显示,DE基因在免疫应答、T细胞应答、凋亡过程和Wnt受体信号传导中富集。通路分析还确定“Wnt信号通路”在两组之间存在差异调节(P = 2.78×10^(-10))。通过基因-基因网络分析,我们发现DE基因在T细胞受体(TCR)、JAK-STAT信号传导和Wnt信号通路中富集。通过基因模块分析,我们发现在三种不同分析中有许多DE基因重叠。总共选择了23个基因进行进一步验证,其中9个基因得到确认。其中,4个基因(SOCS3、CBL、IFNAR1和PIK3CA)参与STAT3(信号转导和转录激活因子3)信号传导,3个基因(CBL、KLF9和CSNK2A1)参与Wnt信号通路。此外,还确认了几种锌指转录因子(ZEB1、ZNF292和ZNF644)。
我们在此报告了RA中CD4 T细胞转录组谱的首例病例对照研究。我们的数据提供了证据,表明RA患者的CD4 T细胞在STAT3信号传导和Wnt信号传导中具有异常的功能网络。我们的结果还表明,几种锌指转录因子(ZEB1、ZNF292和ZNF644)的异常表达可能是RA的潜在致病因素。