Identification of molecular mechanism and key biomarkers in membranous nephropathy by bioinformatics analysis

被引:2
|
作者
Dong, Zhaocheng [1 ,2 ]
Geng, Yunling [1 ,2 ]
Zhang, Pingna [1 ,2 ]
Tang, Jingyi [1 ,2 ]
Cao, Zijing [1 ,2 ]
Zheng, Huijuan [1 ,2 ]
Guo, Jing [1 ,2 ]
Zhang, Chao [1 ,2 ]
Liu, Baoli [3 ,4 ]
Liu, Wei Jing [1 ,2 ,5 ]
机构
[1] Beijing Univ Chinese Med, Dongzhimen Hosp, Beijing, Peoples R China
[2] Beijing Univ Chinese Med, Renal Res Inst, Key Lab Chinese Internal Med, Minist Educ & Beijing,Dongzhimen Hosp, Beijing, Peoples R China
[3] Capital Med Univ, Beijing Hosp Tradit Chinese Med, Beijing, Peoples R China
[4] Capital Med Univ, Res Dept, Beijing Hosp Tradit Chinese Med, 23 Meishuguanhou St, Beijing 100010, Peoples R China
[5] Beijing Univ Chinese Med, Renal Res Inst, Key Lab Chinese Internal Med, Minist Educ & Beijing,Dongzhimen Hosp, 5 Haiyuncang Hutong, Beijing 100700, Peoples R China
来源
关键词
Membranous nephropathy; molecular mechanism; integrated bioinformatics; key biomarker; RECEPTOR; EXPRESSION; COMPLEMENT; GLOMERULONEPHRITIS; PROGNOSIS; AUTOPHAGY; EXPOSURE; FEATURES; STRESS; LECTIN;
D O I
暂无
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Objectives: Membranous nephropathy (MN) is an autoimmune nephropathy. The incidence of MN is increasing gradually in recent years. Previous studies focused on antibody production, complement activation and podocyte injury in MN. However, the etiology and underlying mechanism of MN remain to be further studied. Methods: GSE104948 and GSE108109 of glomerular expression profile were downloaded from Gene Expression Omnibus (GEO) database, GSE47184, GSE99325, GSE104954, GSE108112, GSE133288 of renal tubule expression profile, and GSE73953 of peripheral blood mononuclear cells (PBMCs) expression profile. After data integration by Network analyst, differentially expressed genes (DEGs) between MN and healthy samples were obtained. DEGs were enriched in gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG), and protein-protein interaction (PPI) networks of these genes were constructed through Metascape, etc. We further understood the function of hub genes through gene set enrichment analysis (GSEA). The diagnostic value of DEGs in MN was evaluated by receiver operating characteristic (ROC) analysis. Results: A total of 3 genes (TP53, HDAC5, and SLC2A3) were screened out. Among them, the up-regulated TP53 expression may be closely related to MN renal pathological changes. However, the expression of MN podocyte target antigen was not significantly different from that of healthy controls. In addition, the changes of Wnt signaling pathway in PBMCs and the effects of SLC2A3 on the differentiation of M2 monocyte need further study. Conclusion: It is difficult to unify a specific mechanism for the changes of glomerulus, renal tubules and PBMCs in MN patients. This may be related to the pathogenesis, pathology and immune characteristics of MN. MN podocyte target antigen may not be the root cause of the disease, but a stage result in the pathogenesis process.
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收藏
页码:5833 / +
页数:75
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