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Mathematical modeling and its analysis for instability of the immune system induced by chemotaxis

机译:趋化性诱导的免疫系统不稳定性的数学建模及其分析

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In this paper, we study how chemotaxis affects the immune system by proposing a minimal mathematical model, a reaction-diffusion-advection system, describing a cross-talk between antigens and immune cells via chemokines. We analyze the stability and instability arising in our chemotaxis model and find their conditions for different chemotactic strengths by using energy estimates, spectral analysis, and bootstrap argument. Numerical simulations are also performed to the model, by using the finite volume method in order to deal with the chemotaxis term, and the fractional step methods are used to solve the whole system. From the analytical and numerical results for our model, we explain not only the effective attraction of immune cells toward the site of infection but also hypersensitivity when chemotactic strength is greater than some threshold.
机译:在本文中,我们研究趋化性如何通过提出最小的数学模型,反应扩散 - 平流系统来研究如何影响免疫系统,以通过趋化因子描述抗原和免疫细胞之间的串扰。 我们分析了趋化性模型中产生的稳定性和不稳定性,通过使用能量估计,光谱分析和引导参数来寻找不同的趋化强度的条件。 通过使用有限体积法来处理型号以处理趋化术语的数值模拟,并且使用分数步骤方法来解决整个系统。 从我们模型的分析和数值结果来看,我们不仅解释了免疫细胞对感染部位的有效吸引力,而且当趋化强度大于一些阈值时,过敏率。

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