糖尿病肾病相关的免疫分子及通路的生物信息学分析

Bioinformatics analysis on immune molecules and related pathways on diabetic nephropathy

目的:通过生物信息学分析筛选差异表达免疫基因,为研究糖尿病肾病发生的免疫分子相关机制提供理论依据。方法:我们选用GEO数据库的糖尿病肾病微阵列数据集及IMMPORT在线数据库中免疫基因。使用Perl及R3.6.0软件对数据集进行整合,筛选差异表达免疫基因及KEGG通路富集分析。通过STRING在线工具做出蛋白互作图及本体论(GO)分析。结果:共发现23个差异表达免疫基因,其中12个表达上调,11个表达下调。GO分析表明差异免疫基因在三个不同层面中的作用;富集分析表明,免疫基因主要富集于细胞因子受体相互作用、MAPK信号通路、JAK-STAT信号通路、PI3K-Akt信号通路、细胞因子信号通路等。结论:通过综合生物信息分析,可以揭示糖尿病肾病发展过程中涉及的相关分子及信号通路,为进一步研究糖尿病肾病的分子机制和潜在的诊断提供理论依据。

Objective:To screen the differentially expressed immune genes by bioinformatics method,and to provide theoretical basis for the study of immune molecular related mechanism of diabetic nephropathy.Methods:We selected the diabetic nephropathy microarray data set from the GEO database and immune genes from the IMMPORT online database.Perl and R3.6.0 software were used to integrate the data set,differentially expressed immune genes were screened,and KEGG pathway enrichment analysis was adopted.Results:A total of 23 differentially expressed immune genes were found,and 12 were up-regulated and 11 were down-regulated in diabetic nephropathy.Gene ontology(GO) analysis showed the role of differential immunity genes in three different parts,and enrichment analysis showed that the immune gene was mainly enriched in cytokine-cytokine receptor interaction,MAPK signaling pathway,JAK-STAT signaling pathway,PI3 K-Akt signaling pathway,and chemokine signaling pathway.Conclusion:Through comprehensive bioinformatics analysis,the related molecules and signal pathways involved in the development of diabetic nephropathy can be revealed,providing theoretical basis for further research on the molecular mechanism and potential diagnosis of diabetic nephropathy.