Identification of key biomarkers in diabetic nephropathy via bioinformatic analysis
Identification of key biomarkers in diabetic nephropathy via bioinformatic analysis
复制标题
通过生物信息分析鉴定糖尿病肾病的关键生物标志物。
DOI：
10.1002/jcb.28155
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发表时间：
2019-05-01
影响因子：
4
通讯作者：
Xiao, Li
中科院分区：
文献类型：
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作者：
Zeng, Mengru;Liu, Jialu;Xiao, Li
糖尿病肾病（diabetic nephropathy，DN）是终末期肾病的主要病因。尽管人们对DN的发病机制进行了大量的研究，但其分子机制仍有待进一步阐明。为了鉴定DN进展中的候选基因，从Gene Expression Omnibus数据库下载微阵列数据集GSE 30122、GSE 30528和GSE 47183。鉴定差异表达基因（DEG），并进行功能富集分析。构建了蛋白质相互作用网络，并使用Search Tool for the Retrieval of Interacting Genes和Cytoscape进行了模块分析。总共确定了61名副秘书长。DEG丰富的功能和途径包括肾小球发育、细胞外exosome、胶原结合和PI 3 K-Akt信号通路。共鉴定出15个hub基因，生物学过程分析显示这些基因主要在急性炎症反应、炎症反应和血管发育中富集。未发现的中枢基因与DN临床特征的相关性分析提示，COL 6A 3、MS 4A 6A、PLCE 1、TNNC 1、TNNI 1、TNN 2和VSIG 4可能参与DN的发生发展。本研究发现的DEGs和hub基因有助于我们深入了解DN的分子机制，为DN的诊断和治疗提供候选靶点。
Diabetic nephropathy (DN) is a major cause of end-stage renal disease. Although intense efforts have been made to elucidate the pathogenesis, the molecular mechanisms of DN remain to be clarified. To identify the candidate genes in the progression of DN, microarray datasets GSE30122, GSE30528, and GSE47183 were downloaded from the Gene Expression Omnibus database. The differentially expressed genes (DEGs) were identified, and function enrichment analyses were performed. The protein-protein interaction network was constructed and the module analysis was performed using the Search Tool for the Retrieval of Interacting Genes and Cytoscape. A total of 61 DEGs were identified. The enriched functions and pathways of the DEGs included glomerulus development, extracellular exosome, collagen binding, and the PI3K-Akt signaling pathway. Fifteen hub genes were identified and biological process analysis revealed that these genes were mainly enriched in acute inflammatory response, inflammatory response, and blood vessel development. Correlation analysis between unexplored hub genes and clinical features of DN suggested that COL6A3, MS4A6A,PLCE1, TNNC1, TNNI1, TNN2, and VSIG4 may involve in the progression of DN. In conclusion, DEGs and hub genes identified in this study may deepen our understanding of molecular mechanisms underlying the progression of DN, and provide candidate targets for diagnosis and treatment of DN.