Raz Sagi, Einav Shmuel, Alemu Yared, Bluestein Danny
Department of Biomedical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, 69978, Israel.
Ann Biomed Eng. 2007 Apr;35(4):493-504. doi: 10.1007/s10439-007-9257-2. Epub 2007 Feb 8.
Flow induced platelet activation (PA) can lead to platelet aggregation, deposition onto the blood vessel wall, and thrombus formation. PA was thoroughly studied under unidirectional flow conditions. However, in regions of complex flow, where the platelet is exposed to varying levels of shear stress for varying durations, the relationship between flow and PA is not well understood. Numerical models were developed for studying flow induced PA resulting from stress histories along Lagrangian trajectories in the flow field. However, experimental validation techniques such as Digital Particle Image Velocimetry (DPIV) were not extended to include such models. In this study, a general experimental tool for PA analysis by means of continuous DPIV was utilized and compared to numerical simulation in a model of coronary stenosis. A scaled up (5:1) 84% eccentric and axisymetric coronary stenosis model was used for analysis of shear stress and exposure time along particle trajectories. Flow induced PA was measured using the PA State (PAS) assay. An algorithm for computing the PA level in pertinent trajectories was developed as a tool for extracting information from DPIV measurements for predicting the flow induced thrombogenic potential. CFD, DPIV and PAS assay results agreed well in predicting the level of PA. In addition, the same trend predicted by the DPIV was measured in vitro using the Platelet Activity State (PAS) assay, namely, that the symmetric stenosis activated the platelets more as compared to the eccentric stenosis.
血流诱导的血小板活化(PA)可导致血小板聚集、沉积在血管壁上以及血栓形成。PA在单向流动条件下已得到充分研究。然而,在复杂血流区域,血小板会在不同时长内暴露于不同水平的剪切应力下,此时血流与PA之间的关系尚未得到充分理解。已开发出数值模型来研究流场中沿拉格朗日轨迹的应力历史所导致的血流诱导PA。然而,诸如数字粒子图像测速技术(DPIV)等实验验证技术并未扩展到包含此类模型。在本研究中,利用了一种通过连续DPIV进行PA分析的通用实验工具,并将其与冠状动脉狭窄模型中的数值模拟进行比较。使用了一个放大比例为5:1的84%偏心和轴对称冠状动脉狭窄模型,以分析沿粒子轨迹的剪切应力和暴露时间。使用PA状态(PAS)测定法测量血流诱导的PA。开发了一种用于计算相关轨迹中PA水平的算法,作为从DPIV测量中提取信息以预测血流诱导血栓形成潜力的工具。CFD、DPIV和PAS测定结果在预测PA水平方面吻合良好。此外,使用血小板活性状态(PAS)测定法在体外测量到了与DPIV预测相同的趋势,即与偏心狭窄相比,对称狭窄使血小板活化程度更高。