骨性关节炎表达谱芯片核心基因表达分析  

Identifying hub genes involved in osteoarthritis using microarray expression profiles

作　　者：李照彦 陈香润[1] 陈高扬[1] 王庆宇[1] 杜珍武[1] 杨麒巍 张桂珍[1] 宋旸[1] LI Zhaoyan;CHEN Xiangrun;CHEN Gaoyang;WANG Qingyu;DU Zhenwu;YANG Qiwei;ZHANG Guizhen;SONG Yang(The Second Hospital of Jilin University,Department of Orthopaedics,Changchun 130041,China)

机构地区：[1]吉林大学第二医院骨科,长春130041

出　　处：《中国体视学与图像分析》2018年第3期271-277,共7页Chinese Journal of Stereology and Image Analysis

基　　金：吉林省教育厅项目(JJKH20170853KJ);吉林省科技厅项目(20180520111JH);国家自然科学基金(81702195);吉林省精准医学分子诊断应用示范项目(2016-2018;NDRC);吉林省卫计委项目(20180520125JH);吉林大学白求恩青年基金项目(2015409)

摘　　要：目的骨关节炎(OA)是骨科常见疾病,但其致病基因和相关通路尚不清楚。本研究的主要目的是筛查骨性关节炎发病的核心基因,以揭示其分子发病机制。方法表达谱芯片GSE55235下载自GEO数据库,原始数据经生物信息学分析后得出差异基因。通过DAVID数据库对差异基因进行基因本体论和通路分析。通过STRING数据库对差异基因进行蛋白互作网络分析。结果本研究中,共有10例骨性关节炎滑膜组织和10例健康对照组滑膜组织纳入分析。使用P<0. 05和|log FC|>2作为阈值,我们从表达谱数据芯片GSE55235筛选出差异基因。通过蛋白互作网络分析我们筛选出骨性关节炎OA的核心基因IL-6和VEGFA。结论 IL-6和VEGFA基因可能是骨性关节炎的核心基因,这些基因和其相关通路可能是骨性关节炎分子诊断标志物和潜在的药物治疗靶点。Object Osteoarthritis （OA） is one of the most common diseases worldwide, but the patho- genic gene and pathways are largely unclear. The aim of this study was to identify hub genes involved in OA and reveal potential molecular mechanisms downloaded from the Gene Expression Omnibus Methods The expression profiles of GSE55235 were （GEO） database. The raw data were integrated to obtain differentially expressed genes （DEGs） and were deeply analyzed by bioinformatics methods. The gene ontology （GO） and pathway enrichments of DEGs were performed by DAVID database. The protein- protein interaction （PPI） networks of the DEGs were constructed based on data from the STRING data- base. Results A total of 10 osteoarthritis synovial membrane and 10 matched normal synovial membrane were analyzed. Using P〈0. 05 and I logFC Ⅰ 〉2 were set as a threshold, we extracted DEGs from the ex- pression profile datasets GSE55235. The hub genes VEGFA, IL6 were identified from the PPI network. Conclusions The hub genes VEGFA, IL6 may be the hub genes of OA, and these hub genes and path- ways could be used as potential diagnostic biomarkers and therapeutic targets of OA.

关 键 词：骨性关节炎 核心基因 蛋白网络 

分 类 号：R684.3[医药卫生—骨科学]