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运用综合生物信息学分析探索膜性肾病与狼疮性肾炎分子机制及关键生物标志物的差异

Exploring the Differences in Molecular Mechanisms and Key Biomarkers Between Membranous Nephropathy and Lupus Nephritis Using Integrated Bioinformatics Analysis.

作者信息

Dong Zhaocheng, Dai Haoran, Liu Wenbin, Jiang Hanxue, Feng Zhendong, Liu Fei, Zhao Qihan, Rui Hongliang, Liu Wei Jing, Liu Baoli

机构信息

Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.

Renal Research Institution of Beijing University of Chinese Medicine, and Key Laboratory of Chinese Internal Medicine of Ministry of Education and Beijing, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.

出版信息

Front Genet. 2022 Jan 3;12:770902. doi: 10.3389/fgene.2021.770902. eCollection 2021.

Abstract

Both membranous nephropathy (MN) and lupus nephritis (LN) are autoimmune kidney disease. In recent years, with the deepening of research, some similarities have been found in the pathogenesis of these two diseases. However, the mechanism of their interrelationship is not clear. The purpose of this study was to investigate the differences in molecular mechanisms and key biomarkers between MN and LN. The expression profiles of GSE99325, GSE99339, GSE104948 and GSE104954 were downloaded from GEO database, and the differentially expressed genes (DEGs) of MN and LN samples were obtained. We used Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) for enrichment analysis of DEGs. A protein-protein interaction (PPI) network of DEGs was constructed using Metascape. We filtered DEGs with NetworkAnalyst. Finally, we used receiver operating characteristic (ROC) analysis to identify the most significant DEGs for MN and LN. Compared with LN in the glomerulus, 14 DEGs were up-regulated and 77 DEGs were down-regulated in MN. Compared with LN in renal tubules, 21 DEGs were down-regulated, but no up-regulated genes were found in MN. According to the result of GO and KEGG enrichment, PPI network and Networkanalyst, we screened out six genes (IFI6, MX1, XAF1, HERC6, IFI44L, IFI44). Interestingly, among PLA2R, THSD7A and NELL1, which are the target antigens of podocyte in MN, the expression level of NELL1 in MN glomerulus is significantly higher than that of LN, while there is no significant difference in the expression level of PLA2R and THSD7A. Our study provides new insights into the pathogenesis of MN and LN by analyzing the differences in gene expression levels between MN and LN kidney samples, and is expected to be used to prepare an animal model of MN that is more similar to human.

摘要

膜性肾病(MN)和狼疮性肾炎(LN)均为自身免疫性肾脏疾病。近年来,随着研究的深入,发现这两种疾病在发病机制上存在一些相似之处。然而,它们相互关系的机制尚不清楚。本研究的目的是探讨MN和LN在分子机制和关键生物标志物方面的差异。从基因表达综合数据库(GEO数据库)下载GSE99325、GSE99339、GSE104948和GSE104954的表达谱,获得MN和LN样本的差异表达基因(DEGs)。我们使用基因本体论(GO)和京都基因与基因组百科全书(KEGG)对DEGs进行富集分析。使用Metascape构建DEGs的蛋白质-蛋白质相互作用(PPI)网络。我们用NetworkAnalyst筛选DEGs。最后,我们使用受试者工作特征(ROC)分析来确定MN和LN中最显著的DEGs。与肾小球中的LN相比,MN中有14个DEGs上调,77个DEGs下调。与肾小管中的LN相比,MN中有21个DEGs下调,但未发现上调基因。根据GO和KEGG富集、PPI网络和Networkanalyst的结果,我们筛选出六个基因(IFI6、MX1、XAF1、HERC6、IFI44L、IFI44)。有趣的是,在MN中足细胞的靶抗原PLA2R、THSD7A和NELL1中,NELL1在MN肾小球中的表达水平显著高于LN,而PLA2R和THSD7A的表达水平没有显著差异。我们的研究通过分析MN和LN肾脏样本之间基因表达水平的差异,为MN和LN的发病机制提供了新的见解,并有望用于制备更接近人类的MN动物模型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4120/8762271/da0dd4c567b2/fgene-12-770902-g001.jpg

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