Multi-omics approach reveals CCND1, GABPA, HIF1A, and SOX6 as key regulators and prognostic markers in heart failure.

ABSTRACT:

Introduction

Heart failure (HF) is a progressive condition with complex molecular mechanisms. This study aims to identify potential biomarkers and therapeutic targets by analyzing differentially expressed genes (DEGs) in HF patients, exploring the roles of hub genes, and developing a risk model for predicting disease progression.

Methodology

We cultured five human HF cell lines and five normal coronary cardiomyocyte cell lines. Gene expression datasets were retrieved from the Gene Expression Omnibus (GEO) database and analyzed using limma. Protein-Protein Interaction (PPI) networks were constructed with STRING, and immune cell infiltration was analyzed using CIBERSORT. A risk model was built using LASSO regression. Drug screening was performed via CMap, and overexpression st

SUBMITTER: He P 

PROVIDER: S-EPMC12357434 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature