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Updated: May 30, 2026

A Human Ex Vivo Atherosclerotic Plaque Model to Study Lesion Biology
Published on: May 6, 2014
Implications of genetic polymorphisms in inflammation-induced atherosclerosis
Jayashree Shanker1, Vijay V Kakkar
1Thrombosis Research Institute, India.
Insights
Inflammation drives atherosclerosis. While single gene variations offer modest cardiovascular disease (CVD) risk insights, whole-genome studies reveal novel genetic loci and interconnected pathways, crucial for developing better risk stratification tools.
Area of Science:
- Cardiovascular Science
- Genetics
- Immunology
Background:
- Inflammation is central to atherosclerosis, influencing all disease stages from lesion formation to plaque rupture.
- Clinico-epidemiological studies on inflammatory gene polymorphisms and cardiovascular disease (CVD) show modest, inconsistent risks for single genotypes and haplotypes.
- Inconsistencies are linked to clinical heterogeneity, sample bias, ethnic variations, and comorbidities.
Purpose of the Study:
- To review the role of inflammatory gene polymorphisms in cardiovascular disease risk.
- To explore the potential of genome-wide studies in identifying novel genetic factors for coronary artery disease.
- To propose an 'atherosclerotic bionetwork' concept for improved CVD risk stratification.
Main Methods:
- Overview of clinico-epidemiological studies on inflammatory gene polymorphisms and CVD.
- Analysis of family-based linkage and genome-wide case-control association studies.
- Integration of genetic, biomarker, and pathway data.
Main Results:
- Single gene polymorphisms and haplotypes show modest and inconsistent associations with CVD risk across populations.
- Genome-wide studies have identified novel genetic loci for coronary artery disease.
- Inflammatory genes regulate specific biomarkers, with significant crosstalk between biochemical and metabolic processes.
Conclusions:
- A comprehensive 'atherosclerotic bionetwork' integrating genetic and molecular data is needed.
- This network approach can enhance the development of robust cardiovascular disease risk stratification tools.
- Understanding the interplay of inflammatory genes and pathways is key to advancing CVD research.
Abstract:
Inflammation is the mainstay of atherosclerosis and is an important governing factor at all stages of the disease process from lesion formation to plaque build-up and final end-stage rupture and thrombosis. An overview of the numerous clinico-epidemiological studies on the association between inflammatory gene polymorphisms and Cardiovascular disease (CVD) and its co-morbidities have shown that the risk associated with any single genotype is modest while the haplotypes, especially those defined on the basis of tag-SNP approach, have better coverage of the gene and show moderately higher impact on disease risk. Nevertheless, even these associations have been inconsistent with low cross-race repeatability. This has been attributed to many plausible causes such as clinical heterogeneity, sample selection criteria, variable genetic landscapes across different ethnic groups, confounding effect of co-morbidities etc. On the other hand, unbiased studies such as the family-based linkage and case-control based associations that have taken into account, thousands of genotypic markers spanning the whole genome, have had the ability to identify novel genetic loci for coronary artery disease. These studies have shown that many inflammatory genes are involved in the regulation of specific biomarkers of inflammation that collectively contribute to the disease-associated risk. In addition, there appears to be considerable cross talk between the different biochemical and metabolic processes. Therefore, consideration of all these factors can build towards an 'atherosclerotic bionetwork' that can refine our quest for developing a robust risk stratification tool for cardiovascular disease.
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