作者: Huiying Yang , Hua Li
DOI: 10.7717/PEERJ.7722
关键词:
摘要: Lupus nephritis (LN) is a severe manifestation of systemic lupus erythematosus (SLE), which often progresses to end-stage renal disease (ESRD) and ultimately leads death. At present, there are no definitive therapies towards LN, so that illuminating the molecular mechanism behind has become an urgent task for researchers. Bioinformatics widely utilized method exploring genes related disease. This study set out conduct weighted gene co-expression network analysis (WGCNA) screen hub LN. We performed WGCNA on microarray expression profile dataset GSE104948 from Gene Expression Omnibus (GEO) database with 18 normal 21 LN samples glomerulus. A total 5,942 were divided into 5 modules, one was significantly correlated Ontology (GO) Kyoto Encyclopedia Genes Genomes (KEGG) enrichment analyses conducted LN-related module, module proved be associated mainly activation inflammation, immune response, cytokines, cells. in most significant GO terms extracted sub-networks WGNCA. evaluated centrality by Maximal Clique Centrality (MCC) CD36 screened as candidate pathogenesis The result verified its differentially expressed level between other three multi-microarray datasets GEO. Moreover, we further demonstrated WHO Nephritis Class patients help Nephroseq database. current proposed vital first time may perform brand-new biomarker or therapeutic target future.