Identification of key genes related to glutamine metabolism in diabetic nephropathy by machine learning methods.

ABSTRACT: Diabetic nephropathy (DN) is a critical microvascular complication of diabetes. Increasing evidence suggests that dysregulation of glutamine metabolism contributes to DN pathogenesis. This study aimed to explore alterations in glutamine metabolism-related genes (GMRGs) in DN. Nine differentially expressed GMRGs (DE-GMRGs) were identified by intersecting 103 GMRGs with 2,281 DEGs from the GSE142153 dataset comparing normal and DN groups. Notably, DE-GMRGs located on autosomes were significantly enriched in pathways related to glutamine metabolism and the metabolism of alanine, aspartate, and glutamate. The Least Absolute Shrinkage and Selection Operator (LASSO) and Support Vector Machine-Recursive Feature Elimination (SVM-RFE) methods were employed to pinpoint key genes, SLC7A5 and SLC25A12

SUBMITTER: Luo Y 

PROVIDER: S-EPMC12753654 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature