阿尔茨海默病:发病和发展的数学模型

Michiel Bertsch;Bruno Franchi;Norina Marcello;Maria Carla Tesi;Andrea Tosin
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引用次数: 79

摘要

在本文中,我们提出了一个基于传输和扩散方程的阿尔茨海默病发生和发展的数学模型。我们把大脑神经元看作是一个连续的介质,并根据它们的故障程度来构造它们。两种不同的机制被认为与该疾病的时间演变有关:i)受损神经元产生的可溶性淀粉样聚合物的扩散和团聚;ii)神经元到神经元的朊病毒样传播。我们通过淀粉样蛋白浓度的Smoluchowski方程系统和神经元功能失调程度分布函数的动力学型传输方程来模拟这两个过程。第二个方程包含一个积分项,描述了这种疾病的随机发病,作为一个局限于大脑特别敏感区域的跳跃过程。我们的数值模拟在定性上很好地符合临床图像的疾病分布在大脑从早期到晚期的变化。
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Alzheimer's disease: a mathematical model for onset and progression
In this article we propose a mathematical model for the onset and progression of Alzheimer's disease based on transport and diffusion equations. We regard brain neurons as a continuous medium and structure them by their degree of malfunctioning. Two different mechanisms are assumed to be relevant for the temporal evolution of the disease: i) diffusion and agglomeration of soluble polymers of amyloid, produced by damaged neurons and ii) neuron-to-neuron prion-like transmission. We model these two processes by a system of Smoluchowski equations for the amyloid concentration, coupled to a kinetic-type transport equation for the distribution function of the degree of malfunctioning of neurons. The second equation contains an integral term describing the random onset of the disease as a jump process localized in particularly sensitive areas of the brain. Our numerical simulations are in good qualitative agreement with clinical images of the disease distribution in the brain which vary from early to advanced stages.
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