糖尿病肾病患者两种不同组织差异基因的相关分析

    Correlation analysis of differential genes in two different tissues of diabetic nephropathy patients

    • 摘要: 目的 利用生物信息技术筛选糖尿病肾病(diabetic nephropathy,DN)患者外周血单个核细胞(peripheral blood mononuclear cells,PBMCs)与肾小球组织的差异基因,筛选诊断DN的生物标志物和治疗的靶向基因。方法 从基因表达综合(gene expression omnibus,GEO)数据库GSE142153中提取DN患者和健康人PBMCs基因表达数据,从GSE30528芯片中提取DN患者和健康人肾小球基因表达数据,采用GEO在线分析软件GEO2R和Excel筛选差异表达基因。结果 DN患者的PBMCs中有201个差异表达基因,肾小球组织中有845个差异表达基因。PBMCs的差异基因主要参与DN肾脏炎症反应。肾小球组织的差异基因主要参与肾系统发育。两个组织中有以下基因同时差异表达,分别是EMP1、MAFB、GADD45A、ATF3、RASL11B、F3、CCR2、TLR7、EGF、TIPARP、P2RY14、CD24、IGKC、DACH1。其中TLR7、CCR2、CD24、EGF、ATF3、MAFB、GADD45A、F3基因存在相互作用。结论 DN患者PBMCs和肾小球的差异基因不同,差异基因在DN中的作用机制也明显不同。有16个基因在DN的两个组织中同时差异表达,可以作为诊断DN的生物标志物。利用共有差异基因在PBMCs和肾小球中的表达规律,也许可以对DN进行无创检测。有8个共有差异基因在PBMCs和肾小球中互相作用,可以作为DN治疗靶点。

       

      Abstract: Objective To screen the differential genes of peripheral blood mononuclear cells (PBMCs) and glomerular tissue of diabetic nephropathy(DN) patients and identify potential biomarkers for diagnosing the disease and targeted gene therapy. Methods The PBMC RNA data of DN patients and normal subjects were extracted from GSE142153 in GEO database. Then glomerular RNA data of DN patients and normal subjects were extracted from GSE30528 chip. Then GEO2R tool of GEO and Excel were utilized for screen differential genes. Results There were 201 differentially expressed genes in PBMC of DN patients and 845 differential genes in glomerular tissue. The differential genes of glomerular tissues were predominantly involved in renal systemic development. Differential genes of PBMC participated mostly in renal tissue inflammation in DN. EMP1, MAFB, GADD45A, ATF3, RASL11B, F3, CCR2, TLR7, EGF, TIPARP, P2RY14, CD24, IGKC and DACH1 genes were expressed differentially in two tissues at the same time. There was an interaction between TLR7, CCR2, CD24, EGF, ATF3, MAFB, GADD45A and F3 genes. Conclusion The differential genes of PBMC and glomerulus vary in DN patients, as well as the mechanism of differential genes in DN. In DN patients, 16 genes are expressed differentially in two tissues at the same time so that they may be employed as a diagnostic biomarkers of DN. Based on the differences and correlations between the expressions of these 16 genes in PBMC and glomerulus, they shall facilitate non-invasive detection of DN. In addition, an interaction exists between 8 genes in PBMC and glomerulus so that there are potential therapeutic targets for DN.

       

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