Department of Medicine, Tokai University Hachioji Hospital, Hachioji, Japan.
Department of Health and Nutrition, Faculty of Health Sciences, Niigata University of Health and Welfare, Niigata, Japan.
J Interv Cardiol. 2021 Feb 12;2021:8880988. doi: 10.1155/2021/8880988. eCollection 2021.
To predict platelet accumulation around stent struts in the presence or absence of tissue defects around them.
Computer simulations were performed using virtual platelets implementing the function of the three membrane proteins: glycoprotein (GP) Ib, GPIIb/IIIa, and GPVI. These platelets were perfused around the stent struts implanted into the vessel wall in the presence or absence of tissue defects around them using within the simulation platform. The number of platelets that adhered around stent struts was calculated by solving the blood flow using Navier-Stokes equation along with the adhesion of membrane protein modeled within the platform.
Platelet accumulation around stent struts occurred mostly at the downstream region of the stent strut array. The majority of platelets adhered at the downstream of the first bend regardless of the tissue defect status. Platelet adhesion around stent struts occurred more rapidly in the presence of tissue defects.
Computer simulation using virtual platelets suggested a higher rate of platelet adhesion in the presence of tissue defects around stent struts.
预测支架小梁周围存在或不存在组织缺陷时血小板在支架小梁周围的聚集情况。
使用模拟三种膜蛋白(糖蛋白 Ib、GPIIb/IIIa 和 GPVI)功能的虚拟血小板进行计算机模拟。这些血小板在存在或不存在支架小梁周围组织缺陷的情况下,通过在模拟平台内进行血流灌注,在植入血管壁的支架小梁周围流动。通过求解纳维-斯托克斯方程并结合平台内建模的膜蛋白粘附,计算出粘附在支架小梁周围的血小板数量。
支架小梁周围的血小板主要聚集在支架小梁阵列的下游区域。无论组织缺陷状态如何,大多数血小板都附着在第一个弯曲的下游处。支架小梁周围的血小板粘附在存在组织缺陷时发生得更快。
使用虚拟血小板进行计算机模拟表明,支架小梁周围存在组织缺陷时,血小板粘附的速度更快。