Screening of biomarkers for diagnosing chronic kidney disease and heart failure with preserved ejection fraction through bioinformatics analysis.

ABSTRACT:

Background

Previous research has established that chronic kidney disease (CKD) and heart failure with preserved ejection fraction (HFpEF) often coexist. Although we have a preliminary understanding of the potential correlation between HFpEF and CKD, the underlying pathophysiological mechanisms remain unclear. This study aimed to elucidate the molecular mechanisms associated with CKD and HFpEF through bioinformatics analysis.

Methods

Datasets for HFpEF and CKD were obtained from the Gene Expression Omnibus (GEO) database. The R software package "limma" was employed to conduct differential expression analysis. Functional annotation was performed using the Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO). We conducted weighted gene co-expression network ana

SUBMITTER: Hou C 

PROVIDER: S-EPMC11773089 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature