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模型预测可变切变流下部分阻塞性血栓的变形、栓塞和渗透性。

Model predictions of deformation, embolization and permeability of partially obstructive blood clots under variable shear flow.

机构信息

Department of Mathematics, Division of Clinical Sciences, School of Medicine, University of California, Riverside, CA 92521, USA.

Department of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, IN 46556, USA.

出版信息

J R Soc Interface. 2017 Nov;14(136). doi: 10.1098/rsif.2017.0441.

Abstract

Thromboembolism, one of the leading causes of morbidity and mortality worldwide, is characterized by formation of obstructive intravascular clots (thrombi) and their mechanical breakage (embolization). A novel two-dimensional multi-phase computational model is introduced that describes active interactions between the main components of the clot, including platelets and fibrin, to study the impact of various physiologically relevant blood shear flow conditions on deformation and embolization of a partially obstructive clot with variable permeability. Simulations provide new insights into mechanisms underlying clot stability and embolization that cannot be studied experimentally at this time. In particular, model simulations, calibrated using experimental intravital imaging of an established arteriolar clot, show that flow-induced changes in size, shape and internal structure of the clot are largely determined by two shear-dependent mechanisms: reversible attachment of platelets to the exterior of the clot and removal of large clot pieces. Model simulations predict that blood clots with higher permeability are more prone to embolization with enhanced disintegration under increasing shear rate. In contrast, less permeable clots are more resistant to rupture due to shear rate-dependent clot stiffening originating from enhanced platelet adhesion and aggregation. These results can be used in future to predict risk of thromboembolism based on the data about composition, permeability and deformability of a clot under specific local haemodynamic conditions.

摘要

血栓栓塞是全球发病率和死亡率的主要原因之一,其特征是形成阻塞性血管内血栓(血栓)及其机械性断裂(栓塞)。本文介绍了一种新的二维多相计算模型,该模型描述了血栓主要成分(包括血小板和纤维蛋白)之间的主动相互作用,以研究各种生理相关血流剪切条件对具有可变渗透性的部分阻塞性血栓变形和栓塞的影响。模拟为研究目前无法通过实验研究的血栓稳定性和栓塞的潜在机制提供了新的见解。特别是,使用已建立的微动脉血栓的活体成像实验进行校准的模型模拟表明,血栓大小、形状和内部结构的血流诱导变化主要由两种剪切依赖性机制决定:血小板可逆地附着在血栓的外部和大块血栓的移除。模型模拟预测,渗透率较高的血液凝块在剪切率增加时更容易栓塞,并且由于增强的血小板黏附和聚集导致的剪切率依赖性血栓变硬,会导致凝块更易碎裂。这些结果可用于根据特定局部血流动力学条件下的血栓组成、渗透性和可变形性数据来预测血栓栓塞的风险。

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本文引用的文献

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A General Shear-Dependent Model for Thrombus Formation.一种基于剪切力的血栓形成通用模型。
PLoS Comput Biol. 2017 Jan 17;13(1):e1005291. doi: 10.1371/journal.pcbi.1005291. eCollection 2017 Jan.
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Fibrin mechanical properties and their structural origins.纤维蛋白的力学性能及其结构根源。
Matrix Biol. 2017 Jul;60-61:110-123. doi: 10.1016/j.matbio.2016.08.003. Epub 2016 Aug 20.
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Systems Analysis of Thrombus Formation.血栓形成的系统分析
Circ Res. 2016 Apr 29;118(9):1348-62. doi: 10.1161/CIRCRESAHA.115.306824.
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Fluid Mechanics of Blood Clot Formation.血液凝块形成的流体力学
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