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Stability issues in a Biological Model of Self and Non-self Immune Regulation

机译:自我免疫调节生物学模型中的稳定性问题

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In this paper, we analyze the stability of a model for the Self/Nonselfdiscrimination. The model simulates how the T helper cells (Th), namely lymphocytes developed in the thymus, learn which antigens are self and which ones are non-self. All antigen-responsive cells are born without effector activity and, in the initial stage, have two pathways open to them: inactivation and activation. The choice between these two paths depends on the presence or absence of effector T-helpers (eTh). Thus, the problem is to provide a model for the origin of the first eTh. A kinetic formulation can be modelled with 6 variables. To have a steady state, the system starts at particular levels of populations and has to stay at these levels as long as there is no external action. A stable steady state is reached when the net change of each population equals zero. We analyze the instability of the system in respect to the SI, the proportion of anti-self cells in the total number of repertoire (anti-self and anti-non self cells). In addition, we explore the spectrum of the control parameter SI and we discover a point where the stability changes its behavior.
机译:在本文中,我们分析了自我/非金属单局模型的稳定性。该模型模拟T辅助细胞(TH),即胸腺中发育的淋巴细胞,了解哪些抗原是自我的,哪些是非自我。所有抗原响应细胞都在没有效应活动的情况下出生,并且在初始阶段,对它们开放两个途径:灭活和激活。这两条路径之间的选择取决于效应T律师(Eth)的存在或不存在。因此,问题是为第一个eth的起源提供模型。动力学配方可以用6个变量进行建模。要具有稳定状态,系统从特定的人群级别开始,并且只要没有外部动作,就必须保持在这些级别。当每种群体的净变化等于零时,达到稳定的稳定状态。我们分析了系统的不稳定性,对Si,抗自我抗体总数(抗自身和抗非自我细胞)的比例。此外,我们探讨了控制参数SI的频谱,我们发现稳定性改变其行为的点。

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