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银屑病性关节炎的致病基因筛选及生物信息学分析 预览

Screening pathogenic genes and bioinformatics analysis of psoriatic arthritis
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摘要 目的筛选银屑病性关节炎(PsA)的致病基因,并对致病基因进行生物信息学分析。方法选取美国生物信息技术中心(NCBI)的公共基因芯片数据(编号为GSE61281),通过R编程语言分析PsA患者外周血样本和对照组外周血样本的芯片数据,筛选差异表达基因,使用GLAD4U数据库与ToppGene数据库对差异表达基因进行优化和补充,筛选出PsA的致病基因。用DAVID和KOBAS3.0在线工具对致病基因进行富集分析,String数据库构建PsA致病基因的PPI网络,筛选PsA发病过程中的重点基因、主要生物过程及信号通路。结果得到了与PsA发病密切相关的基因,差异表达基因中与PsA高度相关(得分较高且差异显著)的基因为CXCL10、LYN、JAK1、CARD11、ANXA1。GO富集分析结果显示,在免疫反应、炎症反应、固有免疫反应、信号转导、对脂多糖的应答等生物过程中富集的基因较多且较显著。KEGG分析显示,PsA致病基因主要富集的通路是细胞因子与细胞因子受体相互作用、炎症性肠病等。筛选的PsA致病基因与TNF、IL1B、IL13、IL17A、CCL2、IL23R基因之间存在相互作用关系。结论筛选出与PsA发病高度相关的基因为CXCL10、LYN、JAK1、CARD11、ANXA1,这些致病基因参与免疫反应、炎症反应、固有免疫反应、信号转导、对脂多糖的应答等生物过程,可能通过影响细胞因子与细胞因子受体相互作用、炎症性肠病等通路来发挥作用,并与TNF、IL1B、IL13、IL17A、CCL2、IL23R基因之间存在相互作用关系。 Objective To screen out the pathogenic genes of psoriatic arthritis (PsA) and to analyze the pathogenic genes by bioinformatics. Methods Gene expression profile GSE61281 was downloaded from NCBI of American Bioinformation Technology Center. Peripheral blood samples of PsA patients and control group were analyzed by R programming language to identify the differentially expressed genes (DEGs). Then, the pathogenic genes of PsA were screened out followed by GLAD4U data ToppGene database. In addition, DAVID and KOBAS3.0 online tools were used to analyze the enrichment of pathogenic genes, and the PPI network of PsA pathogenic genes was constructed by String database. Finally, the key genes, main biological processes, and signaling pathways in the pathogenesis of PsA were screened. Results The pathogenic genes closely related to the pathogenesis of PsA were obtained. CXCL10, LYN, JAK1, CARD11 and ANXA1 were highly correlated with PsA (with large scores and significant differences). The results of GO enrichment analysis showed that there were many genes significantly enriched in the immune response, inflammatory response, innate immune response, signal transduction, and response to lipopolysaccharide and other biological processes. KEGG analysis showed that the mainly enriched pathways were the interactions between cytokines and cytokine receptors, and inflammatory bowel disease, etc. There were interactions between the selected PsA pathogenic genes and TNF, IL1B, IL13, IL17A, CCL2, and IL23R. Conclusions The genes highly related to the pathogenesis of PsA are CXCL10, LYN, JAK1, CARD11, and ANXA1, which are involved in the immune response, inflammatory response, innate immune response, signal transduction, and response to lipopolysaccharide and other biological processes. They may affect the interactions between cytokines and cytokine receptors, inflammatory bowel disease, and other pathways, and have interactions with TNF, IL1B, IL13, IL17A, CCL2, and IL23R.
作者 何剑戈 夏群 吴凯楠 杨凯锐 贾栋 李明昊 HE Jiange;XIA Qun;WU Kainan;YANG Kairui;JIA Dong;LI Minghao(1 Logistics University of Chinese Armed Police Force, Tianjin 300000, China)
出处 《山东医药》 CAS 2019年第8期17-20,共4页 Shandong Medical Journal
基金 国家自然科学基金资助项目(81572199) 天津市应用基础与前沿技术研究计划项目(15JCYBYC50600)。
关键词 关节炎 银屑病 寡核苷酸序列分析 计算机生物学 arthritis, psoriasis oligonucleotide array sequence analysis computational biology
作者简介 第一作者:何剑戈(1990-),男,硕士,主要研究方向为脊柱退变性疾病的基础与临床。E-mail:hejiange6@126.com;通信作者:夏群(1963-),男,主任医师,教授,硕士生导师,主要研究方向为脊柱退变性疾病的基础与临床及在体运动学。E-mail:xiaqun6@163.com.
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