基于生物信息学的2型糖尿病患者内脏脂肪差异表达基因分析  

Analysis of differentially expressed genes in visceral adipose tissue of patients with type 2 diabetes mellitus based on bioinformatics

作　　者：李颖[1] 卢家香 何璐[1] 谢小洁 林任 唐世琪[1] 徐丽娟[1] Li Ying;Lu Jiaxiang;He Lu;Xie Xiaojie;Lin Ren;Tang Shiqi;Xu Lijuan(Physical Examination Center,Renmin Hospital of Wuhan University,Wuhan 430060,China)

机构地区：[1]武汉大学人民医院健康管理中心,武汉430060

出　　处：《中华健康管理学杂志》2024年第12期910-915,共6页Chinese Journal of Health Management

基　　金：湖北省卫生健康科研基金(WJ2023M083)。

摘　　要：目的运用生物信息学技术分析2型糖尿病(T2DM)患者内脏脂肪差异表达基因(DEGs)。方法从基因表达数据库(GEO)下载基因芯片数据GSE78721,包括19例T2DM患者及16例非糖尿病患者的内脏脂肪样本数据。对组织样本的转录组检测结果进行分析,并根据性别进行不同组样本的比较,使用仙桃学术数据库在线分析,采用R语言"limma"函数包来筛选DEGs,然后将DEGs可视化,进行基因本体功能注释(GO)和京都基因与基因组百科全书(KEGG)富集分析并可视化。基于蛋白质相互作用检索数据库(STRING)构建了DEGs的蛋白质相互作用网络(PPI)并用Cytoscape软件筛选出关键差异基因并可视化。结果对脂肪组织的基因表达谱进行差异分析,共筛选出168个DEGs(|log_(2)FC|≥1,P<0.05),在女性组中,42个信使核糖核酸(mRNA)表达上调,3个mRNA表达下调,在男性组中,有105个mRNA表达上调,37个mRNA表达下调,其中19个基因为二组共有的。GO富集分析显示DEGs生物学功能主要涉及胰岛素样生长因子受体信号通路及其调控、对营养素的应答、白细胞的迁移等,KEGG通路分析显示DEGs主要涉及细胞外基质受体相互作用和白细胞经内皮迁移信号通路。构建PPI相互作用网络,并筛选出10个关键基因,包括COL1A1、COL1A2、TGFB3、PCOLCE、TIMP1、COL6A2、COMP、COL14A1、VCAM1和THY1。结论生物信息学技术能有效分析和筛选T2DM患者内脏脂肪组织的DEGs,为进一步探讨其分子机制及发现诊疗靶点提供有益线索。Objective To analyze the differentially expressed genes(DEGs)in visceral adipose tissue of patients with type 2 diabetes mellitus(T2DM)based on bioinformatics.Methods The microarray dataset GSE78721 was downloaded from the Gene Expression Omnibus(GEO)database,including visceral fat samples data from 19 T2DM patients and 16 non-diabetic subjects.The analysis of transcriptomic profiling results from tissue samples was conducted,and a comparison between different groups of samples based on gender was performed.The online Xintao Academic Database was utilized for the analysis,employing the"limma"package in R language to filter DEGs.Subsequently,the DEGs were visualized,and Gene Ontology(GO)functional annotation along with Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analysis were carried out and visualized.Based on the Search Tool for the Retrieval of Interacting Genes/Proteins(STRING)database,a protein-protein interaction network(PPI)of DEGs was constructed and key differentially expressed genes were identified and visualized using Cytoscape software.Results Analysis of visceral adipose tissue gene expression profiles revealed 168 DEGs(|log_(2)FC|≥1,P<0.05).In females,42 mRNAs were up-regulated,3 were down-regulated;in males,105 were up-regulated,37 were down-regulated,19 genes were shared by the two groups.GO analysis linked DEGs to insulin-like growth factor receptor signaling and regulation,nutrient response,and leukocyte migration.KEGG analysis implicated extracellular matrix receptor interactions and leukocyte transendothelial migration.The PPI network unveiled 10 key genes,including COL1A1,COL1A2,TGFB3,PCOLCE,TIMP1,COL6A2,COMP,COL14A1,VCAM1 and THY1.Conclusion Bioinformatics technology can effectively analyze and screen DEGs in visceral adipose tissue of T2DM patients,providing useful clues for further exploring its molecular mechanism and finding therapeutic targets.

关 键 词：糖尿病 2型 内脏脂肪组织 基因表达 生物信息学 

分 类 号：R587.1[医药卫生—内分泌]