[摘要] 目的 基于生物信息学技术挖掘糖尿病心肌病(DC)相关差异表达基因及其功能。 方法 应用生物信息学方法分析基因表达谱数据集GSE4547。 結果 挖掘原始芯片数据，筛选到79个差异表达基因。基于基因本体论功能注释和相关通路分析，以及通过构建差异共表达基因蛋白质互作网络及模块分析后，最终获得Hk2、Col1a2、Col1a1、Col3a1、Slc2a1、Cpt1a、Slc2a4、Cd36、Ucp3、Pdk4 10个关键基因为链脲佐菌素诱导DC的关键基因。 结论 最终获得的10个关键基因可能成为未来治疗糖尿病心肌病的潜在治疗靶点，为今后探究与DC相关基因和信号通路的功能变化提供新的视角和导向。

    [关键词] 糖尿病心肌病;GEO数据库;差异表达基因;基因芯片;生物信息学技术

    [中图分类号] R587.2 [文献标识码] A [文章编号] 1673-7210(2019)08(c)-0019-05

    [Abstract] Objective To explore differentially expressed genes and their function related to diabetic cardiomyopathy (DC) based on bioinformatics technology. Methods The gene expression profile data set GSE4547 was analyzed using bioinformatics methods. Results The original chip data was mined and 79 differentially expressed genes were screened. Based on gene ontology functional annotation and related pathway analysis ......