2型糖尿病肾病肾小球病变关键基因的生物信息学研究  

Bioinformatics study on the hub genes of glomerulopathy in type 2 diabetic nephropathy

作　　者：孔娇 刘传鑫 马宝南 张艺宁 周佳丽 王倩 张洁 黄建梅[1] Kong Jiao;Liu Chuanxin;Ma Baonan;Zhang Yining;Zhou Jiali;Wang Qian;Zhang Jie;Huang Jianmei(School of Chinese Materia Medica,Beijing University of Chinese Medicine,Beijing 102488,China)

机构地区：[1]北京中医药大学中药学院,102488

出　　处：《中华内分泌代谢杂志》2021年第4期274-280,共7页Chinese Journal of Endocrinology and Metabolism

基　　金：国家自然科学基金(8177141422)。

摘　　要：目的基于生物信息学技术筛选2型糖尿病肾病(DN)肾小球病变差异表达基因,并探讨其在分子过程中可能的途径。方法筛选基因表达公共数据库(GEO)中DN相关基因芯片数据集GSE96804,采用R 3.6.2软件分析在DN肾小球与正常肾小球中差异表达的基因。对筛选得到的差异基因进行基因本体论(GO)功能富集分析和京都基因与基因组百科全书(KEGG)信号通路分析。应用蛋白-蛋白相互作用数据库(String)11.0及Cytoscape 3.7.2软件分析关键基因及其相关通路。结果通过生物信息学方法得到168个差异表达基因,筛选后得到7个关键基因ALB、FN1、EGF、PTGS2、PLG、KDR、LOX,其中ALB、EGF、PLG直接作用于肾小球。差异基因的GO富集分析主要表现在细胞外基质组织、细胞外结构组织、血小板脱颗粒等生物过程,细胞外基质、分泌颗粒腔、血小板α颗粒等细胞组成,分子伴侣结合、铜离子结合、抗氧化活性等分子功能。主要调控与脂肪酸降解信号通路、CYP酶相关的外源性物质代谢及药物代谢信号通路相关的代谢过程。结论本研究从肾小球病变的角度进行生物信息学分析,有利于了解DN发生的潜在分子机制,为进一步验证研究提供参考。Objective To identify the hub differentially expressed genes(DEGs)of glomerular pathological changes and potential pathways in molecular process of type 2 diabetic nephropathy(DN)based on bioinformatics technology.Methods The differentially expressed genes of Gene Expression Omnibus(GEO)dataset GSE96804 in DN and normal kidney tissues were analyzed by R 3.6.2 software.DEGs were further assessed by Gene Ontology(GO)function enrichment analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)signal pathway analysis.Subsequently,the hub genes and their associated pathways were analyzed using String 11.0 and Cytoscape 3.7.2 software.Results A total of 168 DEGs were obtained in the dataset.Among them,seven hub genes were identified,including ALB,FN1,EGF,PTGS2,PLG,KDR,and LOX.Three hub genes,ALB,EGF,PLG,exerted a direct action on glomerulus.GO enrichment analysis of DEGs was mainly manifested in extracellular matrix organization,extracellular structure organization,platelet degranulation and other biological processes,extracellular matrix,secretory granule lumen,platelet alpha granule and other cell components,chaperone binding,copper ion binding,antioxidant activity,and other molecular functions.DEGs mainly regulated metabolic process,which was related to fatty acid degradation signal pathway,exogenous substance metabolism related to CYP enzyme and drug metabolism signal pathway.Conclusion A bioinformatics analysis of DN from the perspective of glomerulopathy is helpful to understand the potential molecular mechanism of DN and provide reference for further validation.

关 键 词：2型糖尿病肾病肾小球病变 生物信息学 关键基因 通路分析 

分 类 号：R587.2[医药卫生—内分泌] R692.6[医药卫生—内科学]