Multiscale Computational Modeling of Platelet Deposition and Coagulation in Flow

流动中血小板沉积和凝固的多尺度计算模型

• 批准号: 8134868
• 负责人: AARON L FOGELSON
• 金额: $ 31.5万
• 依托单位: UNIVERSITY OF UTAH
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-05 至 2013-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8134868
• 关键词: Biology; Biomedical Engineering; Blood Clot; Blood Platelets; Blood Vessels; Blood coagulation; Caliber; Characteristics; Chemicals; Chemistry; Coagulation Process; Complex; Computer Simulation; Computing Methodologies; Confocal Microscopy; Data; Deposition; Development; Event; Goals; Health; Illinois; Institutes; Lead; Life; Medical Device; Modeling; Modification; Myocardial Infarction; Performance; Perfusion; Scientist; Simulate; Stroke; System; Technology; Thrombosis; Thrombus; Validation; Work; arteriole; design; improved; innovation; parallel computing; prevent; research study; venule

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.

描述（由申请人提供）：该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以确定其进展。开发工作的一个组成部分将是使用完善的灌注系统和共聚焦显微镜来确定血栓沉积特征的模型的实验验证。具体而言，将开发i)小直径血管（小动脉）血小板壁血栓形成和ii)小血管（小动脉和小静脉）血小板合并血栓形成和凝血的3D计算模型。这些模型的设计将充分利用高性能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血流、化学和血管生物学之间复杂、动态和多尺度的相互作用。通过与伊利诺斯理工学院Vincent Turitto博士和他的血栓小组的合作安排，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组和实验组之间的密切互动进行，并在血栓专家咨询小组的协助下进行。因此，该项目将由数学家、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，进行综合计算和实验工作，以了解血管内血栓形成，并开发可靠的模型来预测血栓形成事件的过程，从而有助于设计改进的医疗设备和治疗方法，以预防和治疗血栓形成。公共卫生相关性：该项目旨在开发和验证模拟血管内血液凝固的计算模型。这些模型将用于增加我们对血管内血块形成的理解，包括那些导致心脏病发作和中风的血块，更好的理解可能会导致更好的治疗。