Roles of astrocytes and prions in Alzheimer’s disease: insights from mathematical modeling

IF 1.8 4区 生物学 Q3 BIOPHYSICS
Mitali Maji, Subhas Khajanchi
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引用次数: 0

Abstract

We present a mathematical model that explores the progression of Alzheimer’s disease, with a particular focus on the involvement of disease-related proteins and astrocytes. Our model consists of a coupled system of differential equations that delineates the dynamics of amyloid beta plaques, amyloid beta protein, tau protein, and astrocytes. Amyloid beta plaques can be considered fibrils that depend on both the plaque size and time. We change our mathematical model to a temporal system by applying an integration operation with respect to the plaque size. Theoretical analysis including existence, uniqueness, positivity, and boundedness is performed in our model. We extend our mathematical model by adding two populations, namely prion protein and amyloid beta-prion complex. We characterize the system dynamics by locating biologically feasible steady states and their local stability analysis for both models. The characterization of the proposed model can help inform in advancing our understanding of the development of Alzheimer’s disease as well as its complicated dynamics. We investigate the global stability analysis around the interior equilibrium point by constructing a suitable Lyapunov function. We validate our theoretical analysis with the aid of extensive numerical illustrations.

Abstract Image

星形胶质细胞和朊病毒在阿尔茨海默病中的作用:数学建模的启示
我们提出了一个数学模型来探讨阿尔茨海默氏症的进展过程,尤其关注疾病相关蛋白和星形胶质细胞的参与。我们的模型由一个耦合微分方程系统组成,它描述了淀粉样 beta 斑块、淀粉样 beta 蛋白、tau 蛋白和星形胶质细胞的动态变化。淀粉样 beta 斑块可视为纤维,取决于斑块的大小和时间。我们通过对斑块大小进行积分运算,将数学模型转变为时间系统。我们对模型进行了理论分析,包括存在性、唯一性、实在性和有界性。我们扩展了数学模型,增加了两个种群,即朊病毒蛋白和淀粉样β-朊病毒复合物。我们通过对这两个模型进行生物学上可行的稳态定位及其局部稳定性分析,来描述系统动力学特征。对所提出模型的表征有助于加深我们对阿尔茨海默病的发展及其复杂动态的理解。我们通过构建合适的 Lyapunov 函数来研究内部平衡点周围的全局稳定性分析。我们借助大量的数值说明验证了我们的理论分析。
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来源期刊
Journal of Biological Physics
Journal of Biological Physics 生物-生物物理
CiteScore
3.00
自引率
5.60%
发文量
20
审稿时长
>12 weeks
期刊介绍: Many physicists are turning their attention to domains that were not traditionally part of physics and are applying the sophisticated tools of theoretical, computational and experimental physics to investigate biological processes, systems and materials. The Journal of Biological Physics provides a medium where this growing community of scientists can publish its results and discuss its aims and methods. It welcomes papers which use the tools of physics in an innovative way to study biological problems, as well as research aimed at providing a better understanding of the physical principles underlying biological processes.
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