Department 1st Nephrology, Heilongjiang Academy of Traditional Chinese Medicine, Harbin 150036, Heilongjiang Province, China.
Cell Mol Biol (Noisy-le-grand). 2023 Jul 31;69(7):51-56. doi: 10.14715/cmb/2023.69.7.9.
Diabetic nephropathy (DN) is the main cause of end-stage renal disease (ESRD). Bioinformatics technology was adopted to screen and analyze the core genes of early DN to explore its pathogenesis. GSE30528, GSE96804, and GSE30122 chip data were obtained from Gene Expression Omnibus (GEO) database to screen DN and healthy controls for differentially expressed genes. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) for functional annotation and signaling pathway enrichment; String and Cytoscape were used for protein-protein interaction (PPI) network construction and core gene screening, NCBI-Genes to search the expression profile of core genes. 17 common genes were screened, with 6 genes up-regulated and 11 genes down-regulated. The major functional annotations of differential genes were the generation of precursor metabolites and energy, Immune response, and Phosphorylation. They were concentrated on Focal adhesion, PI3K/Akt signaling pathway, and Human papillomavirus infection pathway. The expressions of VEGFA and THBS1 were down-regulated, while the expressions of ITGB1, MMP7, and SOX9 were up-regulated. The core genes VEGFA and THBS1 were highly expressed in Thyroid and Appendix, but lowly expressed in Testis. MMP7 was highly expressed in the Gall bladder and low in the Adrenal. SOX9 was highly expressed in Thyroid and lowly expressed in the bone marrow. ITGB1 was highly expressed in Fat and low in Pancreas. Bioinformatics technology can mine chip data and present new targets for diagnosing and treating DN, but further verification is needed.
糖尿病肾病（DN）是终末期肾病（ESRD）的主要原因。采用生物信息学技术筛选和分析早期 DN 的核心基因，探讨其发病机制。从基因表达综合数据库（GEO）中获取 GSE30528、GSE96804 和 GSE30122 芯片数据，筛选出 DN 和健康对照的差异表达基因。GO、KEGG 进行功能注释和信号通路富集；String 和 Cytoscape 用于构建蛋白质-蛋白质相互作用（PPI）网络和筛选核心基因，NCBI-Genes 搜索核心基因的表达谱。筛选出 17 个共同基因，其中 6 个上调，11 个下调。差异基因的主要功能注释是前体代谢物和能量的产生、免疫反应和磷酸化。它们集中在黏附斑、PI3K/Akt 信号通路和人乳头瘤病毒感染通路。VEGFA 和 THBS1 的表达下调，而 ITGB1、MMP7 和 SOX9 的表达上调。核心基因 VEGFA 和 THBS1 在甲状腺和阑尾中高表达，而在睾丸中低表达。MMP7 在胆囊中高表达，在肾上腺中低表达。SOX9 在甲状腺中高表达，在骨髓中低表达。ITGB1 在脂肪中高表达，在胰腺中低表达。生物信息学技术可以挖掘芯片数据，为诊断和治疗 DN 提供新的靶点，但需要进一步验证。
