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Updated: Jan 28, 2026

Quantification of Atherosclerosis in Mice
Published on: June 12, 2019
Emerging Gel Technologies for Atherosclerosis Research and Intervention.
Sen Tong1, Jiaxin Chen1, Yan Li2
1Yunnan Key Laboratory of Integrated Traditional Chinese and Western Medicine for Chronic Disease in Prevention and Treatment, Yunnan University of Chinese Medicine, Kunming 650500, China.
Gel technologies offer advanced solutions for atherosclerosis, improving localized drug delivery and in vitro modeling. These platforms enhance treatment efficacy and monitoring for cardiovascular disease management.
Area of Science:
- Biomaterials Science
- Cardiovascular Research
- Drug Delivery Systems
Background:
- Atherosclerosis is a major cause of cardiovascular death, with current treatments having limitations like systemic side effects and poor local drug delivery.
- Gel-based technologies present a promising alternative due to tunable properties, controlled release, and high drug capacity.
Purpose of the Study:
- To review gel platforms for atherosclerosis research and intervention across various scales.
- To explore applications from in vitro models to localized and systemic therapeutic strategies.
Main Methods:
- Review of gel-based in vitro models (hydrogels, 3D cultures, organ-on-chip) for simulating plaque microenvironments.
- Analysis of macroscopic gels (natural, synthetic, composite) for localized delivery (stent coatings, injections, depots).
- Examination of nano- and microgels for systemic delivery with stimuli-responsive release and theranostic capabilities.
Main Results:
- Gel platforms enable sophisticated in vitro modeling of atherosclerosis under physiological conditions.
- Macroscopic gels offer localized treatment options with potential biological benefits from natural polymers.
- Nanogels and microgels facilitate targeted systemic delivery and theranostics, integrating therapy with imaging.
Conclusions:
- Gel technologies show significant potential to improve atherosclerosis management through precise spatial and temporal control.
- Challenges remain in manufacturing, stability, safety, and regulatory approval.
- Future directions include multi-functional integration, AI-guided design, and personalized medicine approaches.
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