Multiscale Computational Modeling of Platelet Deposition and Coagulation in Flow

描述(申请人提供)：这个项目的长期目标是开发最先进的血栓形成计算模型，以探索物理和化学因素如何相互作用来决定其进展。开发工作的一个组成部分将是使用完善的灌流系统和共聚焦显微镜对模型进行实验验证，以确定血栓沉积的特征。具体地说，将建立i)小血管(小动脉)中的血小板壁血栓形成，以及ii)小血管(小动脉和小静脉)中的联合血小板血栓和凝血的3D计算模型。这些模型的设计将充分利用高性能的并行计算能力以及创新的数学和计算方法，并将允许探索血栓形成中流动、化学和血管生物学之间复杂、动态和多尺度的相互作用。通过与文森特·图里托博士和他在伊利诺伊理工学院的血栓形成小组的联盟安排，将进行实验，以提供必要的实验数据。模型的修改将通过计算小组和实验小组之间的密切互动进行，并在血栓形成专家咨询小组的协助下进行。因此，该项目将一个由数学家、计算科学家、生物医学工程师和生命科学家组成的独特的跨学科团队聚集在一起，以良好地整合计算和实验工作，以了解血管内血栓形成，并开发可靠的模型来预测血栓事件的过程，有助于设计改进的医疗设备和疗法来预防和治疗血栓形成。与公共健康相关：该项目寻求开发和验证计算模型，以模拟血管内的血液凝结。这些模型将被用来增加我们对血管内血栓形成的了解，包括那些导致心脏病发作和中风的血栓，而了解的改善可能会导致治疗的改进。

DESCRIPTION (provided by applicant): The long term goal of this project is to develop state of the art computational models of thrombosis in order to explore how physical and chemical factors interact to determine its progression. An integral component of the developmental work will be the experimental validation of the models using well-established perfusion systems and confocal microscopy for determining the characteristics of thrombus deposition. Specifically, 3D computational models of i) platelet mural thrombosis in small diameter blood vessels (arterioles), and ii) combined platelet thrombosis and coagulation in small vessels (arterioles and venules) will be developed. The models will be designed to take full advantage of high performance parallel computing capabilities as well as innovative mathematical and computational methods and will permit exploration of the complex, dynamic, and multiscale interplay between flow, chemistry and vascular biology in thrombosis. Through a Consortium arrangement with Dr. Vincent Turitto and his thrombosis group at the Illinois Institute of Technology, experiments will be conducted to provide the necessary experimental data. Modification of the models will occur through close interaction between the computational and experimental groups, and with the assistance of an Advisory Group of thrombosis experts. The project thus brings together a unique cross-disciplinary team of mathematicians, computational scientists, biomedical engineers and life scientists in a well integrated computational and experimental effort to understand intravascular thrombosis and to develop reliable models for predicting the course of thrombotic events that can help in designing improved medical devices and therapies to prevent and treat thrombosis. PUBLIC HEALTH RELEVANCE: The project seeks to develop and validate computational models to simulate blood clotting inside of blood vessels. These models will be used to increase our understanding of the formation of intravascular blood clots including those that cause heart attack and stroke and improved understanding may lead to improved treatment.