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Simulating the Dynamics of T Cell Subsets throughout the Lifetime

机译:在整个生命周期中模拟T细胞亚群的动力学

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It is widely accepted that the immune system undergoes age-related changes correlating with increased disease in the elderly. T cell subsets have been implicated. The aim of this work is firstly to implement and validate a simulation of T regulatory cell (T_(reg)) dynamics throughout the lifetime, based on a model by Baltcheva. We show that our initial simulation produces an inversion between precursor and mature T_(reg)s at around 20 years of age, though the output differs significantly from the original laboratory dataset. Secondly, this report discusses development of the model to incorporate new data from a cross-sectional study of healthy blood donors addressing balance between T_(reg)s and T_h 17 cells with novel markers for T_(reg). The potential for simulation to add insight into immune aging is discussed.
机译:免疫系统经历与年龄有关的变化,与老年人疾病的增加有关,这一点已被广泛接受。已经暗示了T细胞亚群。这项工作的目的是首先基于Baltcheva的模型在整个生命周期中实施和验证对T调节细胞(T_(reg))动态的仿真。我们显示,尽管输出与原始实验室数据集有显着差异,但最初的模拟在20岁左右时会在前体和成熟T_(reg)之间产生反演。其次,本报告讨论了该模型的开发,以结合来自健康献血者横断面研究的新数据,以解决T_(reg)s和T_h 17细胞之间具有T_(reg)新标记的平衡问题。讨论了通过模拟增加对免疫衰老的认识的潜力。

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