糖尿病肾病肾关键基因的分析鉴定  

ANALYSIS AND IDENTIFICATION OF HUB GENES INVOLVED IN DIABETIC NEPHROPATHY

作　　者：张青[1] 王翔[1] 鞠强 陈颖[1] ZHANG Qing;WANG Xiang;JU Qiang;CHEN Ying(Department of Endocrinology and Metabolism,The Affiliated Hospital of Qingdao University,Qingdao 266003,China)

机构地区：[1]青岛大学附属医院内分泌与代谢病科,山东青岛2660031 [2]青岛大学附属医院输血科,山东青岛2660031

出　　处：《精准医学杂志》2021年第3期246-250,共5页Journal of Precision Medicine

基　　金：国家自然科学基金资助项目(81600601)。

摘　　要：目的利用生物信息学技术分析参与糖尿病肾病(DN)的关键基因及其有关的信号通路。方法从GEO数据库下载有关DN肾小球组织与正常人肾小球组织的所有基因,利用limma软件包筛选出两者的差异表达基因(DEG),并对DEG进行GO功能和KEGG通路富集分析,通过构建蛋白质-蛋白质相互作用(PPI)网络筛选出与DN相关的候选基因,通过候选基因与临床指标的相关性分析获得与DN密切相关的关键基因。结果通过GEO数据库筛选出52个DN肾小球组织与正常人肾小球组织的DEG。GO功能和KEGG通路富集分析显示,DEG主要参与细胞外结构组织、细胞外基质、细胞外基质结构组成成分以及补体和凝血级联反应等过程。经PPI网络分析筛选出14个与DN紧密相关的候选基因,经Pearson相关性分析确定了与DN患者临床指标具有显著相关性的11个关键基因(C 3、CCL 19、COL 1 A 2、COL 6 A 3、COL 15 A 1、LOX、LUM、SERPINF 1、TGFB I、THBS 2、VCAN)。结论通过生物信息学分析筛选出了与DN患者临床指标密切相关的11个关键基因,为阐明DN的分子机制以及潜在治疗靶点提供了新的思路。Objective To investigate the hub genes involved in diabetic nephropathy(DN)and related signaling pathways by bioinformatics analysis.Methods All genes associated with DN glomerular tissue and normal human glomerular tissue were downloaded from gene expression omnibus(GEO).The limma software package was used to screen out the differentially expressed genes(DEGs)between DN glomerular tissue and normal human glomerular tissue,and gene ontology(GO)functional enrichment analysis and KEGG pathway enrichment analysis were performed for DEGs.A protein-protein interaction(PPI)network was constructed to screen out the candidate genes associated with DN,and a correlation analysis was performed for the candidate genes and clinical indices to obtain the hub genes closely associated with DN.Results A total of 52 DEGs were screened out between DN glomerular tissue and normal human glomerular tissue through GEO database.GO functional enrichment analysis and KEGG pathway enrichment analysis showed that DEGs were mainly involved in the processes such as extracellular structure,extracellular matrix,structural components of extracellular matrix,complement,and coagulation cascade.The PPI network analysis screened out 14 candidate genes closely associated with DN,and the Pearson correlation analysis showed that 11 hub genes(C 3,CCL 19,COL 1 A 2,COL 6 A 3,COL 15 A 1,LOX,LUM,SERPINF 1,TGFB I,THBS 2,and VCAN)were significantly correlated with the clinical indices of DN patients.Conclusion Eleven hub genes closely associated with the clinical indicators of DN patients are screened out by bioinformatics analysis,which provide new ideas for clarifying the molecular mechanism of DN and potential therapeutic targets.

关 键 词：糖尿病肾病 肾小球 基因表达谱 蛋白质相互作用图 关键基因 计算生物学 数据库 遗传学 

分 类 号：R587.24[医药卫生—内分泌] R-05[医药卫生—内科学]