Identification of key lipid metabolism-related genes in kidney fibrosis: implications for chronic kidney disease management.

ABSTRACT:

Background

Kidney fibrosis (KF) represents a critical pathological alteration in the end stage of chronic kidney disease (CKD) and is the ultimate cause of mortality. Lipid metabolism plays a significant role in the pathogenesis of KF. Therefore, biomarkers associated with lipid metabolism will be identified to guide the treatment and management of CKD.

Methods

Three datasets obtained from the GEO database, along with 760 lipid metabolism-related genes sourced from two databases, were utilized to identify lipid metabolism-associated differentially expressed genes (LMDEGs) in KF. Subsequently, we performed GO, KEGG and ssGSEA enrichment analysis to elucidate the characteristics of LMDEGs. Then, machine learning was applied to identify core LMDEGs, Least Absolute Shrinkage and

SUBMITTER: Cao Q 

PROVIDER: S-EPMC12491341 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature