CD8+T细胞对脑内寄生虫感染反应的分数扩散模型

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2022-01-24 DOI:10.1051/mmnp/2022003
A. Farhadi, E. Hanert
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引用次数: 0

摘要

弓形虫(T.gondii)是一种寄生病原体,会导致胎儿和免疫缺陷患者,特别是艾滋病患者患上严重的脑部疾病。在免疫学领域,大量研究表明,效应CD8+T细胞通过控制细胞内寄生虫的增殖和杀死受感染的脑细胞,对脑组织中的弓形虫感染做出反应。如果没有T细胞的运动和寻找受感染的细胞,这些保护机制就不会发生,这是免疫系统的一个基本特征。在组织中感染病原体后,在寻找感染细胞时,CD8+T细胞可以进行不同的随机搜索,包括Levy和Brownian随机行走。CD8+T细胞对感染的脑细胞的反应的统计分析可以通过Levy随机游走来描述。,在这项工作中,通过考虑位移的Levy分布,我们提出了感染脑组织中T细胞密度的空间分数阶扩散方程。此外,我们推导了一个代表CD8+T细胞对受感染脑细胞反应的数学模型。通过数值求解模型方程,我们对Levy和Brownian搜索策略进行了比较。
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A fractional diffusion model of CD8+T cells response to parasitic infection in the brain
Toxoplasma gondii (T. gondii) is a parasitic pathogen that causes serious brain diseases in fetuses and patients with immunodeficiency, particularly AIDS patients. In the field of immunology, a large number of studies have shown that effector CD8 + T cells respond to T. gondii infection in the brain tissue through controlling the proliferation of intracellular parasites and killing infected brain cells. These protective mechanisms do not occur without T cell movement and searching for infected cells, as a fundamental  feature of the immune system. Following infection with a pathogen in a tissue, in their search for infected cells, CD8 + T cells can perform different stochastic searches, including Levy and Brownian random walks. Statistical analysis of CD8 + T cells in response to infected brain cells could be described by a Levy random walk., In this work, by considering a Levy distribution for the displacements, we propose a space fractional-order diffusion equation for the T cell density in the infected brain tissue. Furthermore, we derive a mathematical model representing CD8 + T cell response to infected brain cells. By solving the model equations numerically, we perform a comparison between Levy and Brownian search strategies.
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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