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Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression
Published on: January 15, 2022
[Fibrogenesis Genes and Susceptibility to Coronary Atherosclerosis]
I A Goncharova1, T B Pecherina2, A V Markov1
1Research Institute of Medical Genetics.
Insights
Genetic variations in fibrogenesis, lipid metabolism, immune function, and DNA repair genes influence coronary atherosclerosis susceptibility and disease progression. Specific gene polymorphisms increase or decrease the risk of developing atherosclerosis and myocardial infarction.
Area of Science:
- Cardiovascular Genetics
- Molecular Biology
- Medical Genetics
Background:
- Coronary atherosclerosis is a complex disease influenced by genetic and environmental factors.
- Understanding the genetic basis of atherosclerosis is crucial for developing targeted prevention and treatment strategies.
Purpose of the Study:
- To investigate the association between specific gene polymorphisms and the risk of developing coronary atherosclerosis.
- To identify genetic markers that predict the course and prognosis of atherosclerotic disease.
Main Methods:
- Analysis of 48 single nucleotide polymorphisms (SNPs) in genes related to cardiovascular diseases in 404 patients with ischemic heart disease and 285 controls.
- Genotyping performed using multiplex genotyping with mass spectrometry.
- Statistical analysis using Statistica v8.0 and R-language.
Main Results:
- Specific genotypes of ITGB5, ITGA4, and IGFBP7 were associated with increased susceptibility to atherosclerosis.
- Genotypes of TLR4, LDLR, and OAS1 were found to be protective against myocardial infarction and associated with a stable disease course.
- Identified genetic markers influencing both the development and progression of atherosclerotic disease.
Conclusions:
- Polymorphisms in genes involved in extracellular matrix metabolism, fibrogenesis, lipid metabolism, immune function, and DNA repair are associated with coronary atherosclerosis.
- These findings highlight the role of specific genetic variations in cardiovascular disease pathogenesis and prognosis.
- Genetic profiling may aid in predicting individual risk and tailoring therapeutic interventions for coronary atherosclerosis.
Objectives:
To study associations between genes of different functional classes, including fibrogenesis genes, with coronary atherosclerosis and specific features of its course.
Methods:
We included in this study 404 patients with confirmed chronic ischemic heart disease (IHD) who had undergone coronary artery bypass grafting. Two groups of participants were distinguished - those with (n=188) and without (n=216) history of myocardial infarction (MI). Control group consisted of inhabitants of the Siberia region (n=285). Associations were analyzed using 48 single nucleotide polymorphisms (SNP) located in genes earlier determined as associated with diseases of the cardiovascular continuum (diabetes mellitus, MI, atherosclerosis). Multiplex genotyping was performed using mass spectrometry. For statistical analyses we used Statistica v8.0 and R-language with "stats" and "genetics" packages.
Results:
We identified several genetic markers contributing to susceptibility to development of atherosclerosis. Same markers were identified as determinants of the character of the course of atherosclerotic disease. Risk of development of atherosclerosis was higher in carriers of the following genotypes: TT of ITGB5 gene (rs1007856) - by 1.6 times (OR=1.59; р=0.0153); GG of ITGA4 gene - by 1.85 times (OR=1.85; р=0.0016); GG of IGFBP7 gene (rs11133482) - by 2.4 times (OR=2.36; р=0.0031). The following genotypes were identified as protective against MI and determining stable course of the disease: AA of TLR4 gene (rs4986790) (OR=0.47; р=0.0104).; CC of LDLR gene (rs2738446) (OR=0,53; р=0.0041); GG of OAS1 gene (rs1131454) (OR=0.50; р=0.0274).
Conclusion:
Susceptibility to coronary atherosclerosis and prognosis of disease progression were found to be associated with polymorphism of certain genes, involved in metabolism of the extracellular matrix and processes of fibrogenesis (ADAMDEC1, ITGA4, ITGB5, CDKN2B-AS1, IGFBP7), lipid metabolism (LDLR), immune system functioning (TLR4, OAS1) and DNA repair (LIG1).
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