Integrated analysis of gene networks and cellular functions identifies novel heart failure biomarkers.

ABSTRACT:

Introduction

Heart failure (HF) is a complex clinical condition characterized by impaired cardiac function and progressive structural remodeling. To elucidate the molecular mechanisms driving HF, this study aimed to identify key regulatory hub genes, explore their functional relevance, and assess their diagnostic and therapeutic potential.

Methods

Four public microarray datasets (GSE161472, GSE147236, GSE116250, and GSE46224) were retrieved from the Gene Expression Omnibus (GEO) database. Differential expression analysis using the limma package in R identified Differentially expressed genes (DEGs), which were further analyzed via Venn diagrams, STRING PPI networks, and Cytoscape's CytoHubba plugin to determine top hub genes. RT-qPCR and Western blotting were used to validate

SUBMITTER: Juncheng J 

PROVIDER: S-EPMC12333206 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature