The unique molecular mechanism of diabetic nephropathy: a bioinformatics analysis of over 250 microarray datasets.

ABSTRACT:

Background/aims

Diabetic nephropathy (DN) is one of the main causes of end-stage kidney disease worldwide. Emerging studies have suggested that its pathogenesis is distinct from nondiabetic renal diseases in many aspects. However, it still lacks a comprehensive understanding of the unique molecular mechanism of DN.

Methods

A total of 255 Affymetrix U133 microarray datasets (Affymetrix, Santa Calra, CA, USA) of human glomerular and tubulointerstitial tissues were collected. The 22 215 Affymetrix identifiers shared by the Human Genome U133 Plus 2.0 and U133A Array were extracted to facilitate dataset pooling. Next, a linear model was constructed and the empirical Bayes method was used to select the differentially expressed genes (DEGs) of each kidney disease. Based on these DE

SUBMITTER: Zhou LT 

PROVIDER: S-EPMC8162860 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature