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阿尔茨海默病发病机制的数学建模。

Mathematical modeling for the pathogenesis of Alzheimer's disease.

机构信息

Department of Engineering Science and Mechanics, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, United States of America.

出版信息

PLoS One. 2010 Dec 14;5(12):e15176. doi: 10.1371/journal.pone.0015176.

Abstract

Despite extensive research, the pathogenesis of neurodegenerative Alzheimer's disease (AD) still eludes our comprehension. This is largely due to complex and dynamic cross-talks that occur among multiple cell types throughout the aging process. We present a mathematical model that helps define critical components of AD pathogenesis based on differential rate equations that represent the known cross-talks involving microglia, astroglia, neurons, and amyloid-β (Aβ). We demonstrate that the inflammatory activation of microglia serves as a key node for progressive neurodegeneration. Our analysis reveals that targeting microglia may hold potential promise in the prevention and treatment of AD.

摘要

尽管进行了广泛的研究,但神经退行性阿尔茨海默病(AD)的发病机制仍然难以理解。这主要是由于在衰老过程中,多种细胞类型之间发生的复杂和动态的串扰。我们提出了一个数学模型,该模型基于代表涉及小胶质细胞、星形胶质细胞、神经元和淀粉样蛋白-β(Aβ)的已知串扰的微分率方程,有助于根据定义 AD 发病机制的关键成分。我们证明小胶质细胞的炎症激活是进行性神经退行性变的关键节点。我们的分析表明,针对小胶质细胞可能有希望预防和治疗 AD。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf07/3001872/1cb7fa200988/pone.0015176.g001.jpg

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