Ontology highlight
ABSTRACT: Background
Parkinson's disease (PD) patients face a higher risk of developing heart failure (HF). The objective of the study was to investigate the hub genes and potential mechanisms linking Parkinson's disease (PD) to heart failure (HF) using multiple integrative bioinformatics tools.Methods
Integrated bioinformatics analyses were performed. One HF dataset (GSE57338) and three PD datasets (GSE7621, GSE20146, GSE49036) were obtained from the GEO database. Weighted gene co-expression network analysis (WGCNA) was used to identify PD-related genes. Differentially expressed genes (DEGs) between PD and normal samples, as well as between HF and normal samples, were identified. The intersection of DEGs, WGCNA-derived PD-related genes, and genes encoding known secretory proteins wa
SUBMITTER: Ni Z
PROVIDER: S-EPMC12791169 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature