Developing Quasi-Steady Model for Studying Hemostatic Response Using Supercomputer Technologies

Petr V. Trifanov, Valeriia N. Kaneva, S. Strijhak, M. Panteleev, F. Ataullakhanov, J. Dunster, V. Voevodin, D. Nechipurenko
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引用次数: 6

Abstract

Formation of the platelet plug represents a primary response to the vessel wall injury, but may also result in vessel occlusion. The decrease of the local blood flow due to platelet thrombus formation may lead to serious complications, such as ischemic stroke and myocardial infarction. However, mechanisms responsible for regulation of thrombus dynamics are not clear. In order to get a deeper insight into the role of blood flow and platelet interactions in the formation of the primary platelet plug we developed a particle-based model of microvascular thrombosis using quasisteady flow approximation. In order to simulate thrombus dynamics at physiologically relevant timescales of several minutes, we took advantage of the supercomputer technologies. Our in silico analysis revealed the importance of platelet size heterogeneity for describing experimental data on microvascular thrombus formation. Thus, our model represents a useful tool for the supercomputeraided computational analysis of thrombus dynamics in the microvessels on physiologically relevant timescales.
利用超级计算机技术建立研究止血反应的准稳态模型
血小板栓的形成是对血管壁损伤的主要反应,但也可能导致血管闭塞。血小板血栓形成导致局部血流量减少,可导致严重的并发症,如缺血性卒中、心肌梗死等。然而,调控血栓动力学的机制尚不清楚。为了更深入地了解血流和血小板相互作用在初级血小板栓形成中的作用,我们使用准稳态血流近似开发了基于颗粒的微血管血栓形成模型。为了在几分钟的生理相关时间尺度上模拟血栓动力学,我们利用了超级计算机技术。我们的计算机分析揭示了血小板大小异质性对于描述微血管血栓形成的实验数据的重要性。因此,我们的模型代表了在生理学相关时间尺度上对微血管血栓动力学进行超级计算机辅助计算分析的有用工具。
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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