Related Experiment Video
Updated: May 23, 2025

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
Published on: September 20, 2024
Comprehensive bioinformatics analysis of hub genes in ischemic heart failure and atrial fibrillation
Meimei Zhou1, Youkang Xu2, Lili Zhang1
1Department of Rehabilitation, Huadong Hospital, Fudan University, Shanghai, China.
Insights
This study identified 10 hub genes associated with both ischaemic heart failure (IHF) and atrial fibrillation (AF). These genes, primarily linked to extracellular matrix, offer potential biomarkers for joint diagnosis and treatment strategies.
Area of Science:
- Cardiovascular Research
- Genomics
- Molecular Biology
Background:
- Atrial fibrillation (AF) and heart failure (HF) frequently coexist and influence each other.
- The specific association between AF and ischaemic heart failure (IHF) is not well-defined.
- Understanding the shared mechanisms is crucial for developing new therapeutic targets.
Purpose of the Study:
- To identify common genes and pathways involved in both IHF and AF.
- To provide new insights for the joint diagnosis and treatment of these conditions.
- To explore potential biomarkers for co-occurring IHF and AF.
Main Methods:
- Acquired HF and AF gene expression datasets from the Gene Expression Omnibus (GEO) database.
- Identified common differentially expressed genes (DEGs) and performed enrichment analyses (GO, KEGG).
- Utilized protein-protein interaction networks, hub gene identification, and single-cell expression analysis for validation.
Main Results:
- Identified 20 common DEGs between IHF and AF, with 10 identified as hub genes.
- Hub genes (SFRP4, FMOD, HAPLN1, LTBP4, SVEP1, BCL6, ANPEP, CD38, ATRNL1, BEX1) are predominantly involved in extracellular matrix (ECM) processes.
- Signaling pathways including Wnt and TGF-β1/Smads are implicated; high expression observed in monocytes.
Conclusions:
- The 10 identified hub genes show potential as biomarkers for IHF and AF.
- These biomarkers are significantly associated with ECM and metabolic pathways, suggesting targets for combined therapeutic strategies.
- This research lays the groundwork for novel approaches to the joint management of IHF and AF.
Background:
Atrial fibrillation (AF) and heart failure (HF) frequently coexist and mutually influence each other. The association between AF and the subtype of HF, Ischaemic heart failure (IHF), remains insufficiently described, despite their high prevalence. Hence, comprehending their underlying pathophysiological mechanisms and identifying new therapeutic targets are urgently needed.
Objective:
This exploration aims to unearth related genes and pathways of IHF and AF, offering new perspectives for their joint diagnosis and treatment.
Methods:
Datasets for HF (GSE57338) and AF (GSE128188) were acquired from the Gene Expression Omnibus (GEO) database. Intersecting these sets generated common differentially expressed genes (DEGs) for further analyses, including Gene Ontology (GO) enrichment, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, protein-protein interaction (PPI), and hub gene identification. Subsequently, the HF dataset (GSE116250) and AF dataset (GSE2240) were utilized to confirm the expression of the hub genes, followed by examination of gene expression patterns across cells in single-cell datasets.
Results:
The study identified 20 common DEGs. Among them, 10 hub genes (SFRP4, FMOD, HAPLN1, LTBP2, SVEP1, BCL6, ANPEP, CD38, ATRNL1, and BEX1) were found to be associated with the co-occurrence of IHF and AF. Enrichment analysis revealed the predominant involvement of these hub genes in extracellular matrix (ECM). Data from the Uniprot database revealed the involvement of the Wnt signaling pathway and TGF-β1/Smads signaling pathway in the development and progression of AF and IHF. Single-cell analysis demonstrated high gene expression primarily in monocytes.
Conclusion:
The identified 10 hub genes can serve as potentially valuable biomarkers for IHF and AF. Enrichment analysis reveals that these potential biomarkers are significantly associated with ECM, nicotinate, and nicotinamide metabolism, providing a foundational target for the joint diagnosis and treatment of the two diseases.
Related Concept Videos
Pathophysiology of Heart Failure
Genome-wide Association Studies-GWAS
GWAS does not require the identification of the target gene involved in...
Heart Failure Drugs: Inhibitors of Renin-Angiotensin System

