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模拟运动的新协同模型,包括细胞和器官尺度的控制机制
Nicholas F Pearce1, Eun-Jin Kim1
1Fluids and Complex Systems Center, Faculty of Engineering, Environment and Computing, Coventry University, Coventry, CV1 5FB, UK.
Computers in biology and medicine
|June 16, 2023
概括
这项研究引入了一种新的协同心血管模型,该模型将微观心肌活动与宏观循环相结合. 该模型准确地模拟了对运动的生理反应,包括冠状动脉流量和心脏输出变化.
科学领域:
- 心血管生理学心血管生理学
- 计算生物学 计算生物学
- 运动科学 运动科学 运动科学
背景情况:
- 心血管系统对身体活动的生理反应对体育科学和整体健康至关重要.
- 对于运动模拟的现有数值模型,如时变弹性 (TVE) 理论,面临着关于实证基础和适合CVS建模的挑战.
研究的目的:
- 开发一个协同计算模型,将微观心肌 (肌纤维) 活动与宏观心血管系统 (CVS) 动态结合起来.
- 通过结合反和前控制机制,研究运动反应背后的生理机制,包括冠状动脉流和心脏功能.
主要方法:
- 开发了一个协同模型,将肌纤维活性嵌入到宏观器官规模的CVS模型中.
- 基于运动强度/心率的内置冠状动力学,循环水平控制机制和微尺度收缩调节 (ATP,肌纤维力).
- 模拟的反应性高血压和运动在和关闭的短暂状态,以验证模型的性能.
主要成果:
- 该模型准确地重现了在运动和模拟反应性高血压下冠状动脉流动的2相特征.
- 运动模拟显示心脏输出和心室平均压力的预期增加,中风体积最初上升,然后下降.
- 该模型表明,运动期间心肌氧需求增加,冠状动脉血液供应增加,并揭示了脑卒中体积下降的心肌氧需求值.
结论:
- 协同模型提供了一个强大的平台来模拟心血管对运动的反应,弥合微尺度和器官尺度力学.
- 该模型能够将细胞病理与运动表现联系起来,这为研究提供了一个计算效率高的工具.
- 研究结果强调了在体力活动和恢复期间调节心脏功能的因素的复杂相互作用.
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