论文部分内容阅读
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。
OBJECTIVE: To analyze the changes of liver tissue-related gene expression in obese and type 2 diabetic patients by using data mining tools of the GEO gene chip to analyze the relationship between obesity and type 2 diabetes and new targets of early prevention and diagnosis of diabetes . Methods: Obesity and type 2 diabetes related chip data (GSE15653) were firstly selected in the public chip database. The changes of liver tissue gene expression in obese and type 2 diabetic patients were analyzed by using chip data analysis tools such as R, and the correlation between the expression of related differentially expressed genes in blood Protein expression. Results: Compared with normal liver tissue, 412 differentially expressed genes were found in obese and normal subjects, including 212 up-regulated genes and down-regulated genes of 200, and 486 differentially expressed genes were found in well-controlled and normal liver tissues of type 2 diabetic patients , Of which 253 up-regulated genes and down-regulated genes were 233, while 1051 differentially expressed genes were found in poor-control and normal liver tissues in type 2 diabetic patients, including 560 up-regulated genes and 491 down-regulated genes; 2 There were 263 genes with the same changes in the liver tissue of obese patients with type 2 diabetes mellitus and those with obesity. There were 131 genes with the same changes in liver tissues of patients with type 2 diabetes mellitus and those with obesity. According to the results of proteomics, Thirty protein expression products of differentially expressed genes associated with diabetes are secretory proteins. Conclusion: Compared with the normal liver tissue, obese and type 2 diabetic patients have significant changes in gene expression compared with normal liver tissue, the number of changes in gene expression increases with the severity of the disease, and the control of type 2 diabetes and liver tissue gene expression close relationship. Expression of secreted proteins in differentially expressed genes associated with obesity and type 2 diabetes may be further used to develop candidate target molecules for monitoring disease progression.