MSM: Adaptive Multi-Scale Model Simulation, Reduction and Integration for Cardiac Muscle Physiology

MSM：心肌生理学的自适应多尺度模型模拟、还原和集成

• 批准号: 0506477
• 负责人: James Bassingthwaighte
• 金额: $ 34.33万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-08-15 至 2009-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0506477&HistoricalAwards=false
• 关键词: MSM; Adaptive; Multi; Scale; Model

Bassingthwaighte0506477 The aim of the project is to lay the foundations for multi-scale modeling of human physiology with specific application in cardiac and muscle physiology. The results will provide computational strategies and algorithms spanning multiple modeling scales (regulation of transcription, cellular energetic metabolism, cell-to-cell interactions, integrated organ contractile function). The project will develop methods for adaptive multiscale modeling, simulation and model reduction. The project will combine (a) modeling for myocyte- smooth muscle cell-endothelial cell interactions and the signals controlling them, (b) automated model reduction allowing adaptation of these cell types to changing states and more efficient computation in pseudo-steady states, and (c) parameter identification at subcellular to overall systems levels. The simulation results will provide new insights into the behavior of the physiological system by integrating models of cardiac and skeletal muscle systems showing adaptive responses to various physiological conditions that exist in both heart and skeletal muscles. The proposed research will initiate inter-disciplinary collaborations among faculty members and graduate students from engineering and life sciences at the University of Washington.

该项目的目的是为人体生理学的多尺度建模奠定基础，并具体应用于心脏和肌肉生理学。研究结果将提供跨越多个建模尺度（转录调节、细胞能量代谢、细胞间相互作用、综合器官收缩功能）的计算策略和算法。该项目将开发自适应多尺度建模、仿真和模型简化的方法。该项目将结合(a)肌细胞-平滑肌细胞-内皮细胞相互作用的建模和控制它们的信号，(b)自动模型简化，允许这些细胞类型适应变化的状态，并在伪稳态下更有效地计算，以及(c)亚细胞到整个系统水平的参数识别。通过整合心脏和骨骼肌系统模型，模拟结果将为生理系统的行为提供新的见解，这些模型显示了对心脏和骨骼肌中存在的各种生理条件的适应性反应。这项拟议的研究将启动华盛顿大学工程和生命科学专业的教师和研究生之间的跨学科合作。