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Identifying C1QB, ITGAM, and ITGB2 as potential diagnostic candidate genes for diabetic nephropathy using bioinformatics analysis

25 May 2023

Abstract excerpt

Background Diabetic nephropathy (DN), the most intractable complication in diabetes patients, can lead to proteinuria and progressive reduction of glomerular filtration rate (GFR), which seriously affects the quality of life of patients and is associated with high mortality. However, the lack of accurate key candidate genes makes diagnosis of DN very difficult. This study aimed to identify new potential candidate...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 37250717
DOI: 10.7717/peerj.15437

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