CD36 identified by weighted gene co-expression network analysis as a hub candidate gene in lupus nephritis

Lupus nephritis (LN) is a severe manifestation of systemic lupus erythematosus (SLE), which often progresses to end-stage renal disease (ESRD) and ultimately leads to death. At present, there are no definitive therapies towards LN, so that illuminating the molecular mechanism behind the disease has...

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Main Authors: Huiying Yang, Hua Li
Format: Article
Language:English
Published: PeerJ Inc. 2019-10-01
Series:PeerJ
Subjects:
Online Access:https://peerj.com/articles/7722.pdf
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author Huiying Yang
Hua Li
author_facet Huiying Yang
Hua Li
author_sort Huiying Yang
collection DOAJ
description Lupus nephritis (LN) is a severe manifestation of systemic lupus erythematosus (SLE), which often progresses to end-stage renal disease (ESRD) and ultimately leads to death. At present, there are no definitive therapies towards LN, so that illuminating the molecular mechanism behind the disease has become an urgent task for researchers. Bioinformatics has become a widely utilized method for exploring genes related to disease. This study set out to conduct weighted gene co-expression network analysis (WGCNA) and screen the hub gene of LN. We performed WGCNA on the microarray expression profile dataset of GSE104948 from the Gene Expression Omnibus (GEO) database with 18 normal and 21 LN samples of glomerulus. A total of 5,942 genes were divided into 5 co-expression modules, one of which was significantly correlated to LN. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were conducted on the LN-related module, and the module was proved to be associated mainly with the activation of inflammation, immune response, cytokines, and immune cells. Genes in the most significant GO terms were extracted for sub-networks of WGNCA. We evaluated the centrality of genes in the sub-networks by Maximal Clique Centrality (MCC) method and CD36 was ultimately screened out as a hub candidate gene of the pathogenesis of LN. The result was verified by its differentially expressed level between normal and LN in GSE104948 and the other three multi-microarray datasets of GEO. Moreover, we further demonstrated that the expression level of CD36 is related to the WHO Lupus Nephritis Class of LN patients with the help of Nephroseq database. The current study proposed CD36 as a vital candidate gene in LN for the first time and CD36 may perform as a brand-new biomarker or therapeutic target of LN in the future.
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spelling doaj.art-402503445f6c4818a34e61dee467bd252023-12-03T01:20:55ZengPeerJ Inc.PeerJ2167-83592019-10-017e772210.7717/peerj.7722CD36 identified by weighted gene co-expression network analysis as a hub candidate gene in lupus nephritisHuiying Yang0Hua Li1Department of Nephrology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, ChinaDepartment of Nephrology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, ChinaLupus nephritis (LN) is a severe manifestation of systemic lupus erythematosus (SLE), which often progresses to end-stage renal disease (ESRD) and ultimately leads to death. At present, there are no definitive therapies towards LN, so that illuminating the molecular mechanism behind the disease has become an urgent task for researchers. Bioinformatics has become a widely utilized method for exploring genes related to disease. This study set out to conduct weighted gene co-expression network analysis (WGCNA) and screen the hub gene of LN. We performed WGCNA on the microarray expression profile dataset of GSE104948 from the Gene Expression Omnibus (GEO) database with 18 normal and 21 LN samples of glomerulus. A total of 5,942 genes were divided into 5 co-expression modules, one of which was significantly correlated to LN. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were conducted on the LN-related module, and the module was proved to be associated mainly with the activation of inflammation, immune response, cytokines, and immune cells. Genes in the most significant GO terms were extracted for sub-networks of WGNCA. We evaluated the centrality of genes in the sub-networks by Maximal Clique Centrality (MCC) method and CD36 was ultimately screened out as a hub candidate gene of the pathogenesis of LN. The result was verified by its differentially expressed level between normal and LN in GSE104948 and the other three multi-microarray datasets of GEO. Moreover, we further demonstrated that the expression level of CD36 is related to the WHO Lupus Nephritis Class of LN patients with the help of Nephroseq database. The current study proposed CD36 as a vital candidate gene in LN for the first time and CD36 may perform as a brand-new biomarker or therapeutic target of LN in the future.https://peerj.com/articles/7722.pdfCD36Weighted gene co-expression network analysisHub geneLupus nephritis
spellingShingle Huiying Yang
Hua Li
CD36 identified by weighted gene co-expression network analysis as a hub candidate gene in lupus nephritis
PeerJ
CD36
Weighted gene co-expression network analysis
Hub gene
Lupus nephritis
title CD36 identified by weighted gene co-expression network analysis as a hub candidate gene in lupus nephritis
title_full CD36 identified by weighted gene co-expression network analysis as a hub candidate gene in lupus nephritis
title_fullStr CD36 identified by weighted gene co-expression network analysis as a hub candidate gene in lupus nephritis
title_full_unstemmed CD36 identified by weighted gene co-expression network analysis as a hub candidate gene in lupus nephritis
title_short CD36 identified by weighted gene co-expression network analysis as a hub candidate gene in lupus nephritis
title_sort cd36 identified by weighted gene co expression network analysis as a hub candidate gene in lupus nephritis
topic CD36
Weighted gene co-expression network analysis
Hub gene
Lupus nephritis
url https://peerj.com/articles/7722.pdf
work_keys_str_mv AT huiyingyang cd36identifiedbyweightedgenecoexpressionnetworkanalysisasahubcandidategeneinlupusnephritis
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