Liver regeneration after partial hepatectomy: the upper optimality estimate

V. V. Karieva, S.V. Lvov
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Abstract

This publication investigates one of the fundamental problems of mathematical biology, specifically the development of mathematical models for the dynamics of complex biosystems that have a satisfactory explanatory and predictable power. A necessary condition for the development of such models is to find a solution for the problem of identifying the objective principles and rules of regulation of the "cellular system", which determines among all the possibilities exactly the "real path" of its dynamics observed in the experiment. One of the promising approaches to solving this problem is based on the hypothesis that the regulation of processes for support/restoration of the dynamic homeostasis of tissues and organs of the body occurs according to certain principles, and criteria of optimality, which have developed due to the natural selection of the body during its previous evolution. It is quite difficult to solve this problem at the current time due to the many uncertainties in the paths of the previous evolution of the organism, the dynamics of changes in external conditions, as well as the high computational complexity of solving such a problem. Instead of this, we have proposed a simplified formulation of the problem of searching for regulation control strategies, which gives us an upper estimate of optimality for the processes of maintaining/restoring dynamic homeostasis of the liver. The upper estimate of the optimality of regulation and testing of hypotheses for the model of liver regeneration was considered in the case of partial hepatectomy and was solved by Python software methods. The result shows that in the case of partial hepatectomy, the liver regeneration strategies obtained in numerous experiments for the problem of the upper optimality estimate qualitatively coincide with the processes of liver regeneration that can be observed during biological experiments. In plenty of experiments following hypotheses were also tested: how significant is the contribution of the process of controlled apoptosis, and how other processes (polyploidy, division, and formation of binuclear hepatocytes) affect the strategy of liver regeneration.
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肝部分切除后的肝脏再生:最优估计
本出版物研究了数学生物学的一个基本问题,特别是复杂生物系统动力学的数学模型的发展,这些模型具有令人满意的解释和预测能力。发展这种模型的一个必要条件是找到一种解决办法,以确定“细胞系统”的客观原则和调节规则,它在所有可能性中精确地确定实验中观察到的其动力学的“真实路径”。解决这一问题的一个有希望的方法是基于这样一个假设,即支持/恢复身体组织和器官动态稳态的过程的调节是根据一定的原则和最优标准发生的,这些原则和标准是由于身体在之前的进化过程中自然选择而发展起来的。由于生物以往进化路径的诸多不确定性、外部条件变化的动态性以及求解这类问题的计算复杂度较高,目前求解这类问题相当困难。相反,我们提出了一个寻找调节控制策略问题的简化公式,这给了我们一个维持/恢复肝脏动态稳态过程的最佳估计。在肝部分切除的情况下,考虑肝脏再生模型的最佳调节和假设检验的上限估计,并通过Python软件方法解决。结果表明,在肝部分切除的情况下,针对上最优估计问题的大量实验中得到的肝再生策略与生物学实验中观察到的肝再生过程定性一致。在大量的实验中,以下假设也得到了验证:受控凋亡过程的贡献有多重要,以及其他过程(多倍体、分裂和双核肝细胞的形成)如何影响肝脏再生策略。
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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6 weeks
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Construction of controllability function as time of motion Liver regeneration after partial hepatectomy: the upper optimality estimate Approximation of classes of Poisson integrals by Fejer means
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