糖尿病动脉粥样硬化数学模型的稳态解及其稳定性。

IF 1.8 4区 数学 Q3 ECOLOGY
Xuming Xie
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引用次数: 0

摘要

动脉粥样硬化是全世界死亡的主要原因。更糟糕的是,近4.63亿人患有糖尿病,这会增加动脉粥样硬化相关的炎症。糖尿病患者心脏病发作或中风的可能性是糖尿病患者的两倍。在本文中,我们考虑了糖尿病动脉粥样硬化的简化数学模型,该模型涉及LDL、HDL、葡萄糖、胰岛素、自由基(ROS)、β细胞、巨噬细胞和泡沫细胞,它们满足一个具有自由边界的偏微分方程组,即血流和斑块之间的界面。我们建立了模型的小径向对称平稳解的存在性,并研究了它们的稳定性。我们的分析表明,即使低密度脂蛋白和高密度脂蛋白在正常范围内,高血糖也会导致瘟疫持续,因此证实糖尿病会增加动脉粥样硬化的风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Steady solution and its stability of a mathematical model of diabetic atherosclerosis.

Atherosclerosis is a leading cause of death worldwide. 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. In this paper, we consider a simplified mathematical model for diabetic atherosclerosis involving LDL, HDL, glucose, insulin, free radicals (ROS), β cells, macrophages and foam cells, which satisfy a system of partial differential equations with a free boundary, the interface between the blood flow and the plaque. We establish the existence of small radially symmetric stationary solutions to the model and study their stability. Our analysis shows that the plague will persist due to hyperglycemia even when LDL and HDL are in normal range, hence confirms that diabetes increase the risk of atherosclerosis.

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来源期刊
Journal of Biological Dynamics
Journal of Biological Dynamics ECOLOGY-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
4.90
自引率
3.60%
发文量
28
审稿时长
33 weeks
期刊介绍: Journal of Biological Dynamics, an open access journal, publishes state of the art papers dealing with the analysis of dynamic models that arise from biological processes. The Journal focuses on dynamic phenomena at scales ranging from the level of individual organisms to that of populations, communities, and ecosystems in the fields of ecology and evolutionary biology, population dynamics, epidemiology, immunology, neuroscience, environmental science, and animal behavior. Papers in other areas are acceptable at the editors’ discretion. In addition to papers that analyze original mathematical models and develop new theories and analytic methods, the Journal welcomes papers that connect mathematical modeling and analysis to experimental and observational data. The Journal also publishes short notes, expository and review articles, book reviews and a section on open problems.
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