Why the study?
Coronary heart disease development is mediated by many genetic and environmental factors, prompting a bioinformatic analysis of susceptibility genes in signaling and metabolic pathways.
In silico bioinformatic analysis maps 390 coronary heart disease susceptibility genes to specific signaling and metabolic pathways, providing a foundation for future experimental studies and therapeutic target discovery.
CHD gene pathway enrichment is hypothesis-generating; leaves open targeted validation before any clinical consideration.
Coronary heart disease (CHD) is a common pathology, and its development is mediated by a large number of genetic factors, environmental factors and their combinations. In this regard, the objective of the study was a bioinformatic analysis of the involvement of susceptibility genes to CHD in the implementation of signaling and metabolic pathways. The list of susceptibility genes was compiled using GWAS, DisGeNET and GeneCards databases. Pathway enrichment analysis was performed using the ClueGO v2.5.9 Cytoscape v3.9.1 plugin. As a result of the study, it was established that these genes are involved in the implementation of various mechanisms of development of CHD, including disorders of lipid metabolism, changes in the activity of elements of the complement system, and endothelial function. Hereditary factors can influence changes in the processes of regulation of thrombus formation, vascular tone, the balance of pro- and antioxidant factors, endothelial permeability, water and sodium adsorption, as well as the processes of angiogenesis. In this case, the genes under study may be involved in the implementation of one or several signaling/metabolic pathways.
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Chasovskikh et al. (2024) studied this question.
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