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CD163 in Macrophages: A Potential Biomarker for Predicting the Progression of Diabetic Nephropathy based on Bioinformatics Analysis

17 Jun 2022

Abstract excerpt

OBJECTIVE: This study aimed to identify the potential biomarkers in DN. METHODS: DN datasets GSE30528 and GSE47183 were downloaded from the Gene Expression Omnibus database. Immune cell infiltration was analyzed using CIBERSORT. Weighted gene co-expression network analysis (WGCNA) was performed to obtain the module genes specific to DN. The relevant genes were identified intersecting the module genes and...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 35713142
DOI: 10.2174/1871530322666220616102754

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