Related Experiment Video
Updated: Aug 13, 2025
Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
Published on: September 20, 2024
Identification of Key Genes and Biological Pathways Related to Myocardial Infarction through Integrated
Nader Ebadi1,2, Reza Arefizadeh1, Mehrdad Nasrollahzadeh Sabet1
1Department of Cardiology, School of Medicine, Aja University of Medical Sciences, Tehran, Iran.
Background:
Coronary heart disease is the leading cause of death worldwide. Myocardial infarction (MI) is a fatal manifestation of coronary heart disease, which can present as sudden death. Although the molecular mechanisms of coronary heart disease are still unknown, global gene expression profiling is regarded as a useful approach for deciphering the pathophysiology of this disease and subsequent diseases. This study used a bioinformatics analysis approach to better understand the molecular mechanisms underlying coronary heart disease.
Methods:
This experimental study was conducted in the department of cardiology, Aja University of Medical Sciences (2021-2022), Tehran, Iran. To identify the key deregulated genes and pathways in coronary heart disease, an integrative approach was used by merging three gene expression datasets, including GSE19339, GSE66360, and GSE29111, into a single matrix. The t test was used for the statistical analysis, with a significance level of P<0.05.
Results:
The limma package in R was used to identify a total of 133 DEGs, consisting of 124 upregulated and nine downregulated genes. KDM5D, EIF1AY, and CCL20 are among the top upregulated genes. Moreover, the interleukin 17 (IL-17) signaling pathway and four other signaling pathways were identified as the potent underlying pathogenesis of both coronary artery disease (CAD) and MI using a systems biology approach. Accordingly, these findings can provide expression signatures and potential biomarkers in CAD and MI pathophysiology, which can contribute to both diagnosis and therapeutic purposes.
Conclusion:
Five signaling pathways were introduced in MI and CAD that were primarily involved in inflammation, including the IL-17 signaling pathway, TNF signaling pathway, toll-like receptor signaling pathway, C-type lectin receptor signaling pathway, and rheumatoid arthritis signaling pathway.
Insights
Bioinformatics analysis identified key genes and inflammation-related pathways in coronary heart disease (CHD) and myocardial infarction (MI). These findings offer potential biomarkers for diagnosing and treating CHD and MI.
Area of Science:
- Cardiology
- Bioinformatics
- Genomics
Background:
- Coronary heart disease (CHD) is a leading global cause of death.
- Myocardial infarction (MI) is a severe manifestation of CHD.
- Understanding CHD molecular mechanisms is crucial for developing new treatments.
Purpose of the Study:
- To elucidate the molecular mechanisms underlying coronary heart disease (CHD).
- To identify key deregulated genes and pathways in myocardial infarction (MI).
- To discover potential biomarkers for CHD and MI diagnosis and therapy.
Main Methods:
- Integrative bioinformatics analysis of three gene expression datasets (GSE19339, GSE66360, GSE29111).
- Utilized the limma package in R for differential gene expression analysis.
- Applied systems biology approaches to identify key pathways.
Main Results:
- Identified 133 differentially expressed genes (DEGs), with KDM5D, EIF1AY, and CCL20 being highly upregulated.
- Discovered five key signaling pathways implicated in the pathogenesis of CHD and MI.
- The Interleukin-17 (IL-17) signaling pathway was identified as a potent factor.
Conclusions:
- Five inflammation-related signaling pathways, including IL-17, were identified in MI and Coronary Artery Disease (CAD).
- These pathways are crucial in the pathogenesis of MI and CAD.
- The identified expression signatures and pathways can serve as potential biomarkers for diagnosis and therapeutic strategies.
