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Weighted Gene Coexpression Network Analysis Identifies Crucial Genes Involved in Coronary Atherosclerotic Heart
1Department of Internal Medicine, Municipal Hospital, Zaozhuang, Shandong 277100, China.
Background:
Coronary atherosclerotic heart disease (CHD) is a lethal disease with an unstated pathogenic mechanism. Therefore, it is urgent to develop innovative strategies to ameliorate the outcome of CHD patients and explore novel biomarkers connected to the pathogenicity of CHD.
Methods:
The weighted gene coexpression network analysis (WGCNA) was carried out on a coronary atherosclerosis dataset GSE90074 to determine the crucial modules and hub genes for their prospective relationship to CHD. After the different modules associated with CHD have been identified, the Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enriched pathway analyses were conducted. The protein-protein interaction (PPI) network was thereafter performed for the critical module using STRING and Cytoscape.
Results:
The yellow module was recognized as the most critical module associated with CHD. The enriched pathways in the yellow module included those related to inflammatory response, positive regulation of extracellular signal-regulated kinase1/2 (ERK1/2) cascade, lipid catabolic process, cellular response to oxidative stress, apoptotic pathway, and NF-kappa B pathway. Further CytoHubba analysis revealed the top five hub genes (MMP14, CD28, CaMK4, RGS1, and DDAH1) associated with CHD development.
Conclusions:
The current study provides the prognosis, novel hub genes, and signaling pathways for treating coronary atherosclerosis. However, their potential biological roles require deeper investigation.
Insights
This study identifies key genes and pathways involved in coronary atherosclerotic heart disease (CHD) pathogenesis. Findings offer novel biomarkers and therapeutic targets for improving CHD patient outcomes.
Area of Science:
- Genomics
- Cardiovascular Research
- Bioinformatics
Background:
- Coronary atherosclerotic heart disease (CHD) poses a significant mortality risk with an unclear pathogenic mechanism.
- There is an urgent need for novel biomarkers and therapeutic strategies for CHD.
- Understanding CHD pathogenicity is crucial for improving patient outcomes.
Purpose of the Study:
- To identify crucial gene modules and hub genes associated with coronary atherosclerosis using weighted gene coexpression network analysis (WGCNA).
- To explore the biological pathways implicated in CHD development.
- To uncover potential novel biomarkers for CHD.
Main Methods:
- Weighted gene coexpression network analysis (WGCNA) was performed on the GSE90074 coronary atherosclerosis dataset.
- Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted.
- Protein-protein interaction (PPI) network analysis was utilized to identify hub genes.
Main Results:
- The yellow module was identified as the most critical module associated with CHD.
- Enriched pathways included inflammatory response, ERK1/2 cascade, lipid catabolism, oxidative stress, apoptosis, and NF-kappa B signaling.
- Top five hub genes (MMP14, CD28, CaMK4, RGS1, DDAH1) were identified as crucial for CHD development.
Conclusions:
- The study presents prognostic insights, novel hub genes, and signaling pathways for coronary atherosclerosis treatment.
- Further investigation into the biological roles of identified genes and pathways is warranted.
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