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在金属离子存在下的淀粉样蛋白 β 聚集的数学模型:阿尔茨海默病进展的时标分析。

A Mathematical Model for Amyloid-𝜷 Aggregation in the Presence of Metal Ions: A Timescale Analysis for the Progress of Alzheimer Disease.

机构信息

Department of Mathematics and Statistics, Mississippi State University, Mississippi State, MS, 39762, USA.

Department of Chemistry, Mississippi State University, Mississippi State, MS, 39762, USA.

出版信息

Bull Math Biol. 2019 Jun;81(6):1943-1964. doi: 10.1007/s11538-019-00583-3. Epub 2019 Feb 26.

Abstract

The aggregation of amyloid-𝛽 (A𝛽) proteins through their self-assembly into oligomers, fibrils, or senile plaques is advocated as a key process of Alzheimer's disease. Recent studies have revealed that metal ions play an essential role in modulating the aggregation rate of amyloid-𝛽 (A𝛽) into senile plaques because of high binding affinity between A𝛽 proteins and metal ions. In this paper, we proposed a mathematical model as a set of coupled kinetic equations that models the self-assembly of amyloid-𝛽 (A𝛽) proteins in the presence of metal ions. The numerical simulations capture four timescales in the A𝛽 dynamics associated with three important events which include the formation of the amyloid-metal complex, the homogeneous aggregation of the amyloid-metal complexes, and the non-homogeneous aggregation of the amyloid-metal complexes. The method of singular perturbation is used to identify these timescales in the framework of slow-fast systems.

摘要

淀粉样蛋白-β (Aβ) 蛋白通过自身聚合形成寡聚体、纤维或老年斑的聚集被认为是阿尔茨海默病的关键过程。最近的研究表明,金属离子在调节淀粉样蛋白-β(Aβ)聚集成老年斑的聚合速率方面起着至关重要的作用,因为 Aβ 蛋白与金属离子之间具有很高的结合亲和力。在本文中,我们提出了一个数学模型,作为一组耦合的动力学方程,用于模拟金属离子存在下淀粉样蛋白-β (Aβ) 蛋白的自组装。数值模拟捕捉到与三个重要事件相关的 Aβ 动力学中的四个时间尺度,包括淀粉样蛋白-金属复合物的形成、淀粉样蛋白-金属复合物的均相聚合以及淀粉样蛋白-金属复合物的非均相聚合。奇异摄动法用于在慢快系统框架中识别这些时间尺度。

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