Mathematical Modeling of Human Blood Clotting Formation

S. Ravanshadi, M. Jahed
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引用次数: 4

Abstract

Over the last two decades, mathematical modeling has become a popular tool in study of blood coagulation. This paper describes the coagulation pathway and presents a mathematical model for the generation of blood clot in human vasculature. Parameters of interest in this study include procoagulants and anticoagulants whose activity may be enhanced by various activator enzymes. The process of human blood clotting involves a complex interaction between these parameters and continuous time and state processes. In this work, we propose to model these highly inter-relational processes by a set of nonlinear chemical rate equations. We have modeled this process as a dynamical system, as chemical reaction of blood clot is similar to the Michaclis-Mcntcn kinetics. Simulation result reveals that for zero concentration of certain activators, blood clot can't embark and for positive concentration of those activators, the clot is formed. In our analytical model some particular anticoagulants are studied and their role in the clotting process is evaluated. Furthermore simulation results for low concentrations of APC, the active protein C, which acts as a anticoagulant, states formation of blood clot.
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人体凝血形成的数学模型
在过去的二十年里,数学建模已经成为研究血液凝固的一种流行工具。本文描述了凝血途径,提出了人体血管中血凝块生成的数学模型。本研究感兴趣的参数包括促凝剂和抗凝剂,其活性可通过各种激活酶增强。人体血液凝固过程涉及这些参数与连续时间和状态过程之间复杂的相互作用。在这项工作中,我们建议通过一组非线性化学速率方程来模拟这些高度相互关联的过程。我们将这一过程建模为一个动力学系统,因为血凝块的化学反应类似于micaclis - mcntcn动力学。仿真结果表明,当某些活化剂的浓度为零时,血凝块无法形成;当某些活化剂的浓度为正时,血凝块形成。在我们的分析模型中,研究了一些特殊的抗凝剂,并评估了它们在凝血过程中的作用。此外,模拟结果表明,低浓度的APC,作为抗凝血剂的活性蛋白C,状态形成血栓。
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