利用生物信息学研究肥胖与2型糖尿病患者肝组织基因表达变化

目的:利用芯片数据分析工具对GEO基因芯片数据进行数据挖掘,系统分析肥胖与2型糖尿病患者肝组织相关基因表达的变化,探讨肥胖与2型糖尿病的联系及糖尿病早期预防和诊断的新靶点。方法:首先在公共芯片数据库中选择肥胖与2型糖尿病相关芯片数据(GSE15653),利用R等芯片数据分析工具分析肥胖与2型糖尿病患者肝组织基因的表达变化,并预测相关差异表达基因在血中蛋白表达。结果:肥胖患者与正常人肝组织比较发现412个差异表达基因,其中上调表达基因212个,下调表达基因200个,2型糖尿病患者中控制良好者与正常人肝组织比较发现486个差异表达基因,其中上调表达基因253个,下调表达基因233个,而2型糖尿病患者中控制不良者与正常人肝组织比较发现1051个差异表达基因,其中上调表达基因560个,下调表达基因491个;2型糖尿病控制良好者与肥胖患者肝组织有263个相同的表达变化基因,而2型糖尿病控制不良者与肥胖患者肝组织有131个相同的表达变化基因;结合蛋白质组学结果分析肥胖与2型糖尿病相关的差异表达基因中有30个蛋白表达产物是分泌型蛋白。结论:肥胖及2型糖尿病患者肝组织与正常肝组织比较基因表达均发生明显变化,其基因表达变化数目随疾病的严重性增加而增多,而且2型糖尿病的控制情况与肝组织基因表达变化有密切关系。肥胖与2型糖尿病相关的差异表达基因中表达分泌型蛋白的可进一步用于研发监测疾病发生发展的候选靶分子。

Bioinformatics Analysis of Gene Expression Alterations of Liver Tissue between the Obesity and type 2 Diabetes Patients

Objective:To investigate the gene expression alterations between obesity and type 2 diabetes by using public gene microarray experiment database- GEO and explore the new targets for the early diagnosis and therapy for type 2 diabetes.Methods:Liver gene microarray data in both obesity and type 2 diabetes (GSE15663) were collected. Data mining process were performed by R to analyze gene expression characteristics in obesity and type 2 diabetes and predict the serum targets.Results:A total of 412 differentially expressed genes were recognized in obesity patients, including 212 up-regulated and 200 down-regulated genes. While for control-well type 2 diabetes, 486 differentially expressed genes were recognized, including 253 up-regulated and 233 down-regulated genes. For control-poor type 2 diabetes, a total of 1051 differentially expressed genes were found, including 560 up-regulated and 491 down-regulated genes. In addition, a total of 263 genes had the same alterations in both obesity and type 2 diabetes, and a total of 263 genes had the same alterations in both obesity and type 2 diabetes with control-well, while a total of 131 genes had the same alterations in both obesity and type 2 diabetes with control-poor.Conclusion:Gene expression profiles were dramatically changed in liver tissue in both obesity and type 2 diabetes and the number of the differentially expressed genes increased with the severe degree. At the same time, the control status of type 2 diabetes was related with the gene expression alteration. Some serum targets were also predicted for further analysis.