A reaction-diffusion model for relapsing-remitting multiple sclerosis with a treatment term

Romina Travaglini
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Abstract

We present a mathematical study for the development of multiple sclerosis based on a reaction-diffusion system. The model describes interactions among different populations of human cells, motion of immune cells stimulated by cytokines, consumption of myelin sheath due to anomalously activated lymphocytes and its restoration by oligodendrocytes. Successively, we introduce a therapy term representing injection of low-dose IL-2 interleukine. A natural step is then to study the system, investigating the formation of spatial patterns by means of a Turing instability analysis of the problem. In particular, we get spatial patterns oscillating in time that may reproduce brain lesions characteristic of the early stage of the pathology, in both non-treatment and treatment scenarios.
带有治疗项的复发缓解型多发性硬化症反应扩散模型
我们以反应-扩散系统为基础,对多发性硬化症的发展进行了数学研究。该模型描述了不同人体细胞群之间的相互作用、免疫细胞在细胞因子刺激下的运动、异常活化淋巴细胞导致的髓鞘消耗以及少突胶质细胞对髓鞘的修复。随后,我们引入了一个治疗术语,即注射低剂量 IL-2 白细胞介素。研究该系统的一个自然步骤是,通过对问题的图灵不稳定性分析,研究空间模式的形成。特别是,我们得到了在时间上振荡的空间模式,它可以再现病理早期的脑损伤特征,无论是在未治疗还是治疗的情况下。
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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