The mechanism between these genes and RIF remains to be further studied. Besides, their gene expression levels were found significantly positive correlation with the degree of RIF (CD2: P<0.05, r=0.29 CCL5: P<0.05, r=0.31 CCR5: P<0.05, r=0.38).ĬD2, CCL5 and CCR5 might serve as potential early biomarkers of RIF. In Pearson correlation coefficient, CD2, CCL5 and CCR5 was found to hold higher expression patterns in RIF samples based on independent data set GSE57731. Three main hub genes ( CD2, CCL5 and CCR5) were identified after construction of PPI network. These genes were enriched in 19 GO biological process categories. to explore the correlation between three hub genes and pathological degrees of RIF.īy applying the "edgeR" package in R, we detected 116 DEGs with three data sets. STRING (Search Tool for the Retrieval of Interacting Genes) database was employed to construct the protein-protein interaction (PPI) network and the results were visualized by Cytoscape 3.6.1. Function annotation of genes was performed by Gene Ontology (GO) enrichment analysis. We generated heat maps with using heatmap package in R software. Cluster analysis was conducted by 'edgeR' package to identify the differentially expressed genes (DEGs). We used bioconductor limma package to perform background adjustment. Three data sets (GSE22459, GSE76882 and GSE57731) including 350 samples were acquired from Gene Expression Omnibus (GEO) database. This lease may be cancelled at any time by the account holder and auto-renewal may be turned off by going to the iPad's Account Settings after purchase.We aimed to explore potential gene biomarkers of renal interstitial fibrosis (RIF) due to a lack of effective and non-invasive methods for diagnosis.
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