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Updated: May 3, 2026

A Human Ex Vivo Atherosclerotic Plaque Model to Study Lesion Biology
Published on: May 6, 2014
Unravelling molecular mechanisms in atherosclerosis using cellular models and omics technologies
Dimitris Kardassis1, Cécile Vindis2, Camelia Sorina Stancu3
1University of Crete Medical School and Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology of Hellas, Heraklion, Greece.
Cellular models offer economical and insightful approaches to study atherosclerosis, a complex cardiovascular disease. Omics data from these models advance our understanding of disease mechanisms and therapeutic targets.
Area of Science:
- Cardiovascular Research
- Atherosclerosis Pathogenesis
- Cellular and Molecular Biology
Background:
- Atherosclerosis, a major cause of cardiovascular disease (CVD) mortality, involves complex cellular interactions and risk factors.
- Despite lipid-lowering therapies, atherosclerosis remains a significant unmet clinical need.
- Understanding plaque heterogeneity and its role in thrombosis is crucial.
Purpose of the Study:
- To review recent advancements in cellular models for atherosclerosis research.
- To summarize the outputs and impact of omics data generated from these models.
- To discuss challenges and future perspectives in translating in vitro findings.
Main Methods:
- Review of current literature on cellular models of atherosclerosis.
- Analysis of omics data (single and multi-omics) generated from in vitro systems.
- Systems biology approaches to elucidate disease mechanisms.
Main Results:
- Cellular models provide economical and high-throughput platforms for mechanistic insights into atherosclerosis.
- Omics data from these models have elucidated specific cell types, molecules, and signaling pathways involved in disease progression.
- In vitro models offer valuable data for understanding plaque development and rupture.
Conclusions:
- Cellular models are essential tools for dissecting atherosclerosis complexity and generating valuable omics data.
- Translational challenges of in vitro omics data require careful consideration for clinical application.
- Future research should focus on refining models and integrating omics data for improved therapeutic strategies.
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