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WELL-POSEDNESS OF A MATHEMATICAL MODEL OF DIABETIC ATHEROSCLEROSIS WITH ADVANCED GLYCATION END-PRODUCTS
1Department of Mathematics, Morgan State University, Baltimore, MD 21251.
Insights
This study introduces a new mathematical model for diabetic atherosclerosis, incorporating Advanced Glycation End-Products (AGEs) to better understand disease progression in diabetic patients and its link to vascular damage.
Area of Science:
- Biomedical Engineering
- Mathematical Biology
- Cardiovascular Research
Background:
- Atherosclerosis is a major global cause of death, influenced by hemodynamics, immunity, and biochemistry.
- Diabetes significantly exacerbates atherosclerosis, increasing inflammation and cardiovascular event risk.
- Existing models inadequately capture the full complexity of diabetic atherosclerosis.
Purpose of the Study:
- To develop a comprehensive mathematical model for diabetic atherosclerosis.
- To incorporate the role of Advanced Glycation End-Products (AGEs) in diabetic vascular disease progression.
- To analyze the impact of hyperglycemia-induced AGEs on plaque growth.
Main Methods:
- Developed a mathematical model using partial differential equations with a free boundary.
- Employed Hanzawa transformation to convert the free boundary to a fixed boundary.
- Reduced the system to an abstract evolution equation in Banach spaces, applying analytic semigroup theory.
Main Results:
- Established local existence and uniqueness of solutions for the proposed model.
- The model accounts for hyperglycemia, insulin resistance, and AGEs concentration.
- Provides a framework for studying diabetic atherosclerosis dynamics.
Conclusions:
- The new mathematical model offers a more comprehensive understanding of diabetic atherosclerosis.
- Advanced Glycation End-Products (AGEs) play a crucial role in accelerating vascular disease in diabetic patients.
- The mathematical framework supports further investigation into diabetic vascular complications.
Abstract:
Atherosclerosis is a leading cause of death worldwide; it emerges as a result of multiple dynamical cell processes including hemodynamics, endothelial damage, innate immunity and sterol biochemistry. Making matters worse, nearly 463 million people have diabetes, which increases atherosclerosis-related inflammation, diabetic patients are twice as likely to have a heart attack or stroke. The pathophysiology of diabetic vascular disease is generally understood. Dyslipidemia with increased levels of atherogenic LDL, hyperglycemia, oxidative stress and increased inflammation are factors that increase the risk and accelerate development of atherosclerosis. In a recent paper [53], we have developed mathematical model that includes the effect of hyperglycemia and insulin resistance on plaque growth. In this paper, we propose a more comprehensive mathematical model for diabetic atherosclerosis which include more variables; in particular it includes the variable for Advanced Glycation End-Products (AGEs)concentration. Hyperglycemia trigger vascular damage by forming AGEs, which are not easily metabolized and may accelerate the progression of vascular disease in diabetic patients. The model is given by a system of partial differential equations with a free boundary. We also establish local existence and uniqueness of solution to the model. The methodology is to use Hanzawa transformation to reduce the free boundary to a fixed boundary and reduce the system of partial differential equations to an abstract evolution equation in Banach spaces, and apply the theory of analytic semigroup.
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