综合基因表达谱分析与人类肝胰岛素抵抗相关蛋白分子表达研究*

doi:10.3969/j.issn.1672-5069.2018.06.012

实用肝脏病杂志 ›› 2018, Vol. 21 ›› Issue (6): 872-876.doi: 10.3969/j.issn.1672-5069.2018.06.012

综合基因表达谱分析与人类肝胰岛素抵抗相关蛋白分子表达研究^*

黄发光, 李小成, 龚建平, 李泽民

405800 重庆市巫溪县人民医院外科（黄发光）; 重庆医科大学附属第二医院肝胆外科（李小成,龚建平）; 重庆市彭水县人民医院外科（李泽民）

收稿日期:2017-08-23 出版日期:2018-11-10 发布日期:2018-12-25
通讯作者: 李泽民,E-mail：597798806@qq.com
作者简介:黄发光,男,49岁,副主任医师。E-mail：1798306288@qq.com
基金资助:
*重庆市卫生与计划生育委员会科研项目面上项目（编号：2016MSXM206）

Research on insulin resistance related protein molecules in human liver tissues by comprehensive gene expression profiling analysis

Huang Faguang, Li Xiaocheng, Gong Jianping, et al. Department of Surgery, People 's Hospital, Wuxi County405800, Chongqing, China;Department of Surgery, Second Hospital, Chongqing Medical University, Chongqing

Department of Surgery, People 's Hospital, Wuxi County405800, Chongqing, China;Department of Surgery, Second Hospital, Chongqing Medical University, Chongqing

Received:2017-08-23 Online:2018-11-10 Published:2018-12-25

摘要/Abstract

摘要： 目的分析糖尿病患者与正常人肝组织之间的差异表达基因（DEGs）,筛选出肝组织中与可能产生胰岛素抵抗相关作用的蛋白分子。方法从GEO数据库下载基因芯片数据集GSE23343（包括10例2型糖尿病和7例正常人肝组织的基因表达值）,通过DEGs表达谱分析和功能通路富集分析,构建DEGs对应的蛋白质-蛋白质相互作用网络。结果分析得到928个显著上调的DEGs（P<0.01）,发现DEGs主要富集在细胞和代谢生物过程中,KEGG通路富集显示DEGs主要集中于信号转导和肿瘤相关通路。经蛋白质相互作用网络构建,筛选出5个关键蛋白分子MDM2、PCNA、CAV1、PIK3R1、NR3C1。结论系统地筛选出人类肝组织中可能与胰岛素抵抗形成相关的蛋白分子,为进一步实验研究肝胰岛素抵抗产生机制和新的降血糖药物作用靶点提供基础。

关键词: 非酒精性脂肪性肝病, 胰岛素抵抗, 差异基因, 蛋白质-蛋白质相互作用网路

Abstract: Objective To analyze of differentially expressed genes （DEGs） between diabetic and normal liver tissues and to screen proteins in liver tissues that may be associated with insulin resistance. Methods After download the gene expression profile GSE23343 （including gene expression value from 10 cases of type 2 diabetes mellitus and 7 cases of normal liver） from the GEO Database,and the protein-protein interaction network of DEGs was constructed by DEGs expression profiling and functional pathway enrichment analysis. Results After analysis of the microarray data,928 DEGs were found to be significantly up-regulated（P<; 0.01）. Functional pathway enrichment analysis showed that most of the differential genes were enriched in cellular and metabolic processes,and KEGG pathway enrichment showed that DEGs were mainly focused on signal transduction and tumor-associated pathways. Five key protein molecules,e.g. MDM2,PCNA,CAV1,PIK3R1,and NR3C1,were identified by protein-protein interaction network. Conclusion The protein molecules related to the formation of insulin resistance in human liver tissues are systematically selected,which might provide us the basis for the further study of the mechanism of hepatic insulin resistance and for finding new targets of hypoglycemic medicine.

Key words: Nonalcoholic fatty liver diseases, Insulin resistance, Differentially expressed genes, Protein-protein interaction network

黄发光, 李小成, 龚建平, 李泽民. 综合基因表达谱分析与人类肝胰岛素抵抗相关蛋白分子表达研究^*[J]. 实用肝脏病杂志, 2018, 21(6): 872-876.

Huang Faguang, Li Xiaocheng, Gong Jianping, et al.. Research on insulin resistance related protein molecules in human liver tissues by comprehensive gene expression profiling analysis[J]. JOURNAL OF PRACTICAL HEPATOLOGY, 2018, 21(6): 872-876.

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综合基因表达谱分析与人类肝胰岛素抵抗相关蛋白分子表达研究^*

Research on insulin resistance related protein molecules in human liver tissues by comprehensive gene expression profiling analysis

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