School of Electrical, Electronic and Mechanical Engineering, University College Dublin, Belfield, Dublin 4, Ireland.
Med Biol Eng Comput. 2012 Jun;50(6):617-29. doi: 10.1007/s11517-012-0894-8. Epub 2012 Mar 20.
In this study, the sensitivity of skeletal muscle fiber excitability to changes in temperature and a range of geometrical, electrical and ionic membrane properties was examined using model simulation. A mathematical model of the propagating muscle fiber action potential (AP) was used to simulate muscle fiber APs while changing individual muscle fiber parameters in isolation to examine how they affect muscle fiber AP amplitude, shape and conduction velocity (CV). The behavior of the model was verified by comparison with previously reported experimental data from both in vivo studies conducted at physiological temperatures and in vitro and in silico studies conducted at lower temperatures. The simulation results presented demonstrate the sensitivity of AP amplitude, shape and CV and, therefore, muscle fiber excitability to small changes in a wide range of different muscle fiber parameters. Furthermore, they demonstrate the potential of computational modeling as a tool for investigating the underlying mechanisms of complex phenomena such as those which govern skeletal muscle excitation.
在这项研究中,使用模型模拟检查了骨骼肌纤维兴奋性对温度变化以及一系列几何、电学和离子膜特性的敏感性。使用传播肌肉纤维动作电位 (AP) 的数学模型来模拟肌肉纤维 AP,同时单独改变单个肌肉纤维参数,以检查它们如何影响肌肉纤维 AP 幅度、形状和传导速度 (CV)。通过将模型的行为与之前在生理温度下进行的体内研究以及在较低温度下进行的体外和计算研究中报告的实验数据进行比较,验证了模型的行为。模拟结果表明,AP 幅度、形状和 CV 以及肌肉纤维兴奋性对各种肌肉纤维参数的微小变化非常敏感。此外,它们还表明计算建模作为一种工具的潜力,可用于研究控制骨骼肌肉兴奋等复杂现象的潜在机制。