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在通道流中,对 VWF 涂层表面上血小板黏附的体外测量和建模。

In Vitro Measurement and Modeling of Platelet Adhesion on VWF-Coated Surfaces in Channel Flow.

机构信息

Chemical Engineering, Stanford University, Stanford, California.

Irish Centre for Vascular Biology and Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin, Ireland.

出版信息

Biophys J. 2019 Mar 19;116(6):1136-1151. doi: 10.1016/j.bpj.2019.01.040. Epub 2019 Feb 8.

Abstract

The process of platelet adhesion is initiated by glycoprotein (GP)Ib and GPIIbIIIa receptors on the platelet surface binding with von Willebrand factor on the vascular walls. This initial adhesion and detachment of a single platelet is a complex process that involves multiple bonds forming and breaking and is strongly influenced by the surrounding blood-flow environment. In addition to bond-level kinetics, external factors such as shear rate, hematocrit, and GPIb and GPIIbIIIa receptor densities have also been identified as influencing the platelet-level rate constants in separate studies, but this still leaves a gap in understanding between these two length scales. In this study, we investigate the fundamental relationship of the dynamics of platelet adhesion, including these interrelating factors, using a coherent strategy. We build a, to our knowledge, novel and computationally efficient multiscale model accounting for multibond kinetics and hydrodynamic effects due to the flow of a cellular suspension. The model predictions of platelet-level kinetics are verified by our microfluidic experiments, which systematically investigate the role of each external factor on platelet adhesion in an in vitro setting. We derive quantitative formulas describing how the rates of platelet adhesion, translocation, and detachment are defined by the molecular-level kinetic constants, the local platelet concentration near the reactive surface determined by red-blood-cell migration, the platelet effective reactive area due to its tumbling motion, and the platelet surface receptor density. Furthermore, if any of these aspects involved have abnormalities, e.g., in a disease condition, our findings also have clinical relevance in predicting the resulting change in the adhesion dynamics, which is essential to hemostasis and thrombosis.

摘要

血小板黏附的过程是由血小板表面的糖蛋白(GP)Ib 和 GPIIbIIIa 受体与血管壁上的血管性血友病因子(von Willebrand factor)结合而启动的。这种单一血小板的初始黏附和脱离是一个复杂的过程,涉及多个键的形成和断裂,并且强烈受到周围血流环境的影响。除了键级动力学外,剪切率、血细胞比容和 GPIb 和 GPIIbIIIa 受体密度等外部因素也已被确定为影响血小板级别的速率常数的独立研究因素,但这仍然在这两个尺度之间存在理解上的差距。在这项研究中,我们使用连贯的策略研究了血小板黏附动力学的基本关系,包括这些相互关联的因素。我们构建了一个,据我们所知,新型的计算效率高的多尺度模型,该模型考虑了由于细胞悬浮液流动而产生的多键动力学和流体动力学效应。通过我们的微流控实验验证了血小板级别的动力学模型预测,该实验系统地研究了每个外部因素在体外环境下对血小板黏附的作用。我们推导出了定量公式,描述了血小板黏附、迁移和脱离的速率如何由分子级动力学常数、由红细胞迁移决定的靠近反应表面的局部血小板浓度、由于其翻滚运动而导致的血小板有效反应面积以及血小板表面受体密度来定义。此外,如果涉及到这些方面中的任何一个异常,例如在疾病状态下,我们的发现也具有临床相关性,可以预测黏附动力学的结果变化,这对于止血和血栓形成至关重要。

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