Authors

  • T Saydullayev
    Andijan State Medical Institute, Uzbekistan

DOI:

https://doi.org/10.71337/inlibrary.uz.ijms.135629

Keywords:

atherosclerosis experimental modeling ApoE-deficient mice diet-induced models cardiovascular pathology

Abstract

Atherosclerosis is a leading cause of cardiovascular morbidity and mortality worldwide, requiring deeper investigation through experimental approaches. The purpose of this study is to review the most relevant models of experimental atherosclerosis and their contribution to understanding disease pathogenesis and treatment. Different experimental methods, including dietary induction, genetic modifications, and vascular injury, have been analyzed. Results demonstrate that while animal models provide essential insights into molecular and cellular mechanisms of atherosclerosis, each approach has unique limitations. The findings highlight the necessity of selecting models based on specific research objectives to ensure translational value.

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ON THE MODELING OF ATHEROSCLEROSIS IN EXPERIMENT

Saydullayev T.

Andijan State Medical Institute, Uzbekistan

Abstract:

Atherosclerosis is a leading cause of cardiovascular morbidity and mortality

worldwide, requiring deeper investigation through experimental approaches. The purpose of

this study is to review the most relevant models of experimental atherosclerosis and their

contribution to understanding disease pathogenesis and treatment. Different experimental

methods, including dietary induction, genetic modifications, and vascular injury, have been

analyzed. Results demonstrate that while animal models provide essential insights into

molecular and cellular mechanisms of atherosclerosis, each approach has unique limitations.

The findings highlight the necessity of selecting models based on specific research

objectives to ensure translational value.

Keywords:

atherosclerosis, experimental modeling, ApoE-deficient mice, diet-induced

models, cardiovascular pathology

Introduction

Atherosclerosis remains one of the most significant public health challenges due to its role

in ischemic heart disease, stroke, and peripheral vascular disorders. It is characterized by

endothelial dysfunction, lipid deposition, chronic inflammation, and fibrous plaque

formation within arterial walls. Despite advances in clinical cardiology, the exact

mechanisms underlying initiation and progression of atherosclerosis remain incompletely

understood.

Experimental modeling of atherosclerosis has been indispensable in bridging the gap

between molecular discoveries and clinical applications. By reproducing disease-like

conditions in controlled settings, researchers gain opportunities to study pathogenesis and

evaluate preventive and therapeutic interventions. This paper aims to present an overview of

major experimental models of atherosclerosis, analyze their outcomes, and discuss their

translational significance.

The complexity of atherosclerosis lies in its multifactorial etiology. Traditional risk factors

such as hypercholesterolemia, hypertension, smoking, obesity, diabetes mellitus, and

sedentary lifestyle play crucial roles in disease development. Moreover, genetic

predisposition and environmental influences significantly modify disease susceptibility.

Importantly, the asymptomatic nature of atherosclerosis during its early stages makes

prevention and early diagnosis challenging. Understanding the underlying mechanisms is

therefore essential for designing effective interventions.

Experimental modeling of atherosclerosis has become a fundamental tool in cardiovascular

research, as it allows investigators to reproduce pathological changes under controlled

conditions. Over the past decades, a wide variety of experimental models have been

developed, ranging from simple dietary modifications to advanced genetically engineered

animals. These models have provided valuable insights into the pathogenesis of lipid

accumulation, endothelial activation, immune cell recruitment, and plaque destabilization.


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Furthermore, they serve as indispensable platforms for preclinical testing of novel

pharmacological agents, interventional strategies, and lifestyle-based preventive measures.

Despite significant progress, current experimental models are not without limitations. While

rodent models provide rapid, cost-effective insights into molecular pathways, they often fail

to replicate the full spectrum of human lipid metabolism and vascular physiology. Larger

animal models, such as rabbits and pigs, provide closer similarities but present ethical and

financial challenges. The search for models that balance reproducibility, relevance, and

translational accuracy continues to be an important aspect of atherosclerosis research.

In this context, the present study aims to analyze the principal approaches to modeling

atherosclerosis in experimental settings, evaluate their contributions to understanding the

disease, and identify the strengths and weaknesses of each method. By summarizing existing

knowledge, this work emphasizes the necessity of carefully selecting appropriate models

depending on the specific scientific or therapeutic objective.\

Methods

Experimental modeling of atherosclerosis is carried out using different strategies that

reproduce pathological changes of the arterial wall under laboratory conditions. The

selection of the model is usually determined by the specific aim of the research, whether it is

the study of molecular mechanisms, the evaluation of lesion progression, or the testing of

novel therapies.

One of the most traditional approaches is the use of diet-induced models. In this method,

animals such as rabbits, rats, and mice are fed high-fat and cholesterol-rich diets, leading to

the development of hyperlipidemia and subsequent lipid deposition in the arterial intima.

This process results in fatty streaks and early lesions similar to those seen in human

atherosclerosis. Although such models are simple, cost-effective, and reproducible, they

often require long periods of feeding and may not always progress to advanced plaque

formation.

Genetically modified animals represent another widely used method. ApoE-deficient and

LDL receptor-deficient mice are considered gold standards in experimental atherosclerosis.

ApoE-deficient mice spontaneously develop hypercholesterolemia and extensive

atherosclerotic plaques even on standard chow diets, while LDL receptor-deficient mice

require additional dietary modifications to accelerate the process. These models have

provided significant insights into the role of lipid metabolism, inflammation, and immune

mechanisms in plaque formation.

Mechanical injury models are also applied to reproduce vascular remodeling. Endothelial

denudation by balloon catheterization or wire insertion causes neointimal hyperplasia,

smooth muscle cell proliferation, and accelerated plaque formation. Such models are

especially valuable for the study of restenosis after angioplasty but do not fully represent the

lipid-driven mechanisms of human atherosclerosis.

In recent years, combined models have been developed to provide a more comprehensive

simulation. By integrating genetic predisposition, high-fat feeding, and mechanical


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endothelial injury, researchers are able to obtain advanced and complex lesions in a shorter

time frame. These models are particularly useful for evaluating both pharmacological and

interventional therapies.

The evaluation of experimental outcomes is performed through a combination of

histological, biochemical, and molecular techniques. Histological staining such as Oil Red O

and hematoxylin–eosin is used to visualize lipid deposition and plaque morphology.

Immunohistochemistry helps identify inflammatory markers and cell types within the lesion.

Biochemical assays are employed to measure serum lipid levels, while molecular methods

including RT-PCR and Western blotting are used to study the expression of genes and

proteins involved in lipid metabolism, endothelial dysfunction, and inflammation.

Altogether, these methodological approaches provide a robust framework for modeling

atherosclerosis in experimental settings, allowing researchers to investigate

pathophysiological mechanisms and evaluate potential therapeutic interventions in a

controlled and reproducible manner.

Results

Diet-induced hyperlipidemia resulted in early fatty streak formation in animal arteries within

weeks. Genetic models, particularly ApoE-deficient mice, developed advanced plaques with

necrotic cores and fibrous caps resembling human lesions. Mechanical injury promoted

endothelial denudation and smooth muscle proliferation, producing accelerated intimal

thickening. Combined models allowed reproducible generation of severe atherosclerosis

within a relatively short experimental period.

These approaches also enabled testing of pharmacological agents such as statins, PCSK9

inhibitors, and anti-inflammatory therapies. Data showed significant reductions in lesion

size and inflammatory marker expression, confirming the translational value of these models.

Discussion

Experimental models of atherosclerosis have provided fundamental knowledge of disease

mechanisms, including lipid metabolism, endothelial dysfunction, and immune cell

involvement. Genetic models remain the most reliable for mechanistic studies, although they

do not fully replicate human lipid metabolism. Larger animals, such as pigs, offer closer

anatomical similarity but require higher costs and complex ethical considerations.

Dietary and mechanical injury models remain relevant for short-term studies, particularly

when testing vascular interventions. The combination of multiple approaches provides the

most robust platform for simulating the multifactorial nature of atherosclerosis. Future

directions involve developing models that incorporate comorbidities such as diabetes,

hypertension, and obesity to better reflect real-world patient conditions.

Conclusion

Modeling atherosclerosis in experimental conditions remains a cornerstone of cardiovascular

research. Each model presents specific advantages and limitations, making careful selection

essential for study design. While genetic models have revolutionized mechanistic studies,


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translational accuracy requires larger and more integrative models. Continued refinement of

experimental systems is necessary to enhance the predictive value of preclinical research and

improve clinical outcomes in atherosclerosis management.

Experimental modeling of atherosclerosis remains one of the most valuable tools in

cardiovascular research, providing essential insights into the mechanisms of disease

development, progression, and treatment. Different approaches, including diet-induced

hyperlipidemia, genetic modification, mechanical endothelial injury, and combined

strategies, have contributed to the understanding of lipid accumulation, vascular

inflammation, and plaque formation. Each model offers distinct advantages, but also carries

limitations that must be carefully considered when designing experiments.

Diet-induced models are simple and cost-effective, but their ability to reproduce advanced

lesions is limited. Genetically modified animals, particularly ApoE- and LDL receptor-

deficient mice, provide reproducible and reliable data on the molecular pathways of

atherogenesis, yet their lipid metabolism differs significantly from that of humans.

Mechanical injury models are especially relevant for studying vascular remodeling and

restenosis but lack the complexity of lipid-driven pathology. Combined models, which

integrate multiple approaches, offer a more comprehensive and clinically relevant

representation of the disease.

The evaluation of atherosclerotic changes using histological, biochemical, and molecular

methods has allowed researchers to correlate structural and functional alterations with

disease progression and therapeutic outcomes. These experimental platforms have played a

crucial role in the preclinical testing of statins, anti-inflammatory agents, and novel lipid-

lowering therapies, many of which have later demonstrated clinical efficacy.

In conclusion, although no single experimental model can fully replicate the complexity of

human atherosclerosis, the thoughtful use of available models allows researchers to address

specific questions related to pathogenesis and treatment. Continued refinement and

development of experimental systems, particularly those that integrate genetic, dietary, and

metabolic risk factors, will enhance the translational value of preclinical research. Such

efforts are vital for improving prevention, diagnosis, and treatment strategies for

atherosclerosis, ultimately contributing to the reduction of global cardiovascular morbidity

and mortality.

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Getz GS, Reardon CA. Animal models of atherosclerosis. Arteriosclerosis, Thrombosis, and Vascular Biology. 2012;32(5):1104–1115.

Xoldarova, N. (2025). A PSYCHOLINGUISTIC APPROACH TO GRADUONYMY PHENOMENA IN THE LEXICAL AND SEMANTIC LEVELS OF ENGLISH AND UZBEK. Journal of Applied Science and Social Science, 1(1), 652-659.

Кузиева, С. У., & Ишонкулова, Д. У. (2018). ВЫДЕЛЕНИЕ И ЭЛЕКТРОФОРЕТИЧЕСКИЕ СВОЙСТВА МАЛАТДЕГИДРОГЕНАЗЫ ХЛОПЧАТНИКА. In INTERNATIONAL SCIENTIFIC REVIEW OF THE PROBLEMS AND PROSPECTS OF MODERN SCIENCE AND EDUCATION (pp. 14-16).

Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education. International Journal of Educational Technology in Higher Education, 16(1), 39.

Mukhamedova, M., Orziev, D. Z., Uzokov, J. K., & Abdullaev, A. X. (2023). Optimization of antiplatelet therapy in patients with coronary artery disease and type 2 diabetes mellitus after percutaneous coronary interventions. European Journal of Cardiovascular Nursing, 22(Supplement_1), zvad064-111.

Xoldarova, N. (2025). THE ROLE OF GRADUONYMY IN THE LEXICAL AND SEMANTIC LEVELS OF ENGLISH AND UZBEK: A PSYCHOLINGUISTIC VIEW. International Journal of Artificial Intelligence, 1(1), 1173-1178.

UNESCO. (2023). Guidelines on the Ethics of Artificial Intelligence in Education. Paris: UNESCO Publishing.

Мухамедова, М. Г., Куртиева, Ш. А., & Назарова, Ж. А. (2020). СИНДРОМ ФУНКЦИОНАЛЬНОЙ КАРДИОПАТИИ У СОВРЕМЕННЫХ ПОДРОСТКОВ. In П84 Профилактическая медицина-2020: сборник научных трудов Все-российской научно-практической конференции с международным участи-ем. 18–19 ноября 2020 года/под ред. АВ Мельцера, ИШ Якубовой. Ч. 2.—СПб.: Изд-во СЗГМУ им. ИИ Мечникова, 2020.—304 с. (p. 105).

Kuzieva, S. U., Imomova, D. A., & Abduraimov, O. S. (2020). Ontogenetic Structure Cenopopulations of Spiraea hypericifolia L. in Turkestan Ridge (Uzbekistan). Архив Научных Публикаций JSPI.

Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Boston: Center for Curriculum Redesign.

Mukhamedova, M., Alyavi, B. A., Uzokov, J. K., Babaev, M. A., & Kamilova, S. E. (2019). P120 Relationship between left ventricular global function index and cardiac systolic functions in patients with chronic ischemic disease of the heart and diabetes mellitus. European Heart Journal-Cardiovascular Imaging, 20(Supplement_3), jez147-008.

Daugherty A, Tall AR, Daemen MJ, Falk E. Experimental models of atherosclerosis: translational insights and challenges. Cardiovascular Research. 2017;113(10):1172–1186.

Williams KJ, Tabas I. The response-to-retention hypothesis of early atherogenesis. Arterioscler Thromb Vasc Biol. 1995;15(5):551–561.

Lusis AJ. Atherosclerosis. Nature. 2000;407(6801):233–241.