Modeling the dynamics of innate immune response to Parkinson disease with therapeutic approach.

IF 2 4区生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY

Physical biology Pub Date : 2022-08-18 DOI:10.1088/1478-3975/ac8516

Asma Badrah, Salma Al-Tuwairqi

引用次数: 1

Abstract

This paper aims to mathematically model the dynamics of Parkinson's disease with therapeutic strategies. The constructed model consists of five state variables: healthy neurons, infected neurons, extracellularα-syn, active microglia, and resting microglia. The qualitative analysis of the model produced an unstable free equilibrium point and a stable endemic equilibrium point. Moreover, these results are validated by numerical experiments with different initial values. Two therapeutic interventions, reduction of extracellularα-syn and reduction of inflammation induced by activated microglia in the central nervous system, are investigated. It is observed that the latter has no apparent effect in delaying the deterioration of neurons. However, treatment to reduce extracellularα-syn preserves neurons and delays the onset of Parkinson's disease, whether alone or in combination with another treatment.

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用治疗方法模拟先天免疫反应对帕金森病的动力学。

本文旨在用治疗策略对帕金森病的动力学进行数学建模。该模型由健康神经元、感染神经元、细胞外α-syn、活跃小胶质细胞和静息小胶质细胞五个状态变量组成。模型定性分析得到一个不稳定的自由平衡点和一个稳定的地方性平衡点。并通过不同初始值的数值实验验证了上述结果。研究了两种治疗干预措施，即减少细胞外α-syn和减少中枢神经系统中活化的小胶质细胞诱导的炎症。观察到后者对延缓神经元退化无明显作用。然而，无论是单独治疗还是与其他治疗联合，减少细胞外α-syn的治疗都能保留神经元并延缓帕金森病的发病。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Physical biology 生物-生物物理

CiteScore

4.20

自引率

0.00%

发文量

审稿时长

3 months

期刊介绍： Physical Biology publishes articles in the broad interdisciplinary field bridging biology with the physical sciences and engineering. This journal focuses on research in which quantitative approaches – experimental, theoretical and modeling – lead to new insights into biological systems at all scales of space and time, and all levels of organizational complexity. Physical Biology accepts contributions from a wide range of biological sub-fields, including topics such as: molecular biophysics, including single molecule studies, protein-protein and protein-DNA interactions subcellular structures, organelle dynamics, membranes, protein assemblies, chromosome structure intracellular processes, e.g. cytoskeleton dynamics, cellular transport, cell division systems biology, e.g. signaling, gene regulation and metabolic networks cells and their microenvironment, e.g. cell mechanics and motility, chemotaxis, extracellular matrix, biofilms cell-material interactions, e.g. biointerfaces, electrical stimulation and sensing, endocytosis cell-cell interactions, cell aggregates, organoids, tissues and organs developmental dynamics, including pattern formation and morphogenesis physical and evolutionary aspects of disease, e.g. cancer progression, amyloid formation neuronal systems, including information processing by networks, memory and learning population dynamics, ecology, and evolution collective action and emergence of collective phenomena.