Biomedical Engineering Graduate Program, University of Calgary, Calgary, AB, Canada, T2N 1N4.
Faculty of Kinesiology, University of Calgary, Calgary, AB, Canada, T2N 1N4.
J Exp Biol. 2024 Nov 1;227(21). doi: 10.1242/jeb.247436. Epub 2024 Oct 21.
Skeletal muscles produce forces relatively slowly compared with the action potentials that excite them. The dynamics of force production are governed by multiple processes, such as calcium activation, cycling of cross-bridges between myofilaments, and contraction against elastic tissues and the body. These processes have been included piecemeal in some muscle models, but not integrated to reveal which are the most rate limiting. We therefore examined their integrative contributions to force development in two conventional types of muscle models: Hill-type and cross-bridge. We found that no combination of these processes can self-consistently reproduce classic data such as twitch and tetanus. Rather, additional dynamics are needed following calcium activation and facilitating cross-bridge cycling, such as for cooperative myofilament interaction and reconfiguration. We provisionally lump such processes into a simple first-order model of 'force facilitation dynamics' that integrate into a cross-bridge-type muscle model. The proposed model self-consistently reproduces force development for a range of excitations including twitch and tetanus and electromyography-to-force curves. The model's step response reveals relatively small timing contributions of calcium activation (3%), cross-bridge cycling (3%) and contraction (27%) to overall force development of human quadriceps, with the remainder (67%) explained by force facilitation. The same set of model parameters predicts the change in force magnitude (gain) and timing (phase delay) as a function of excitatory firing rate, or as a function of cyclic contraction frequency. Although experiments are necessary to reveal the dynamics of muscle, integrative models are useful for identifying the main rate-limiting processes.
与激发它们的动作电位相比,骨骼肌产生力的速度相对较慢。力的产生动力学受多种过程的控制,例如钙激活、肌丝间横桥的循环以及对抗弹性组织和身体的收缩。这些过程已经在一些肌肉模型中逐个包含,但没有整合以揭示哪些是最限速的。因此,我们在两种传统类型的肌肉模型(Hill 型和横桥型)中检查了它们对力发展的综合贡献。我们发现,这些过程的任何组合都不能自洽地再现经典数据,例如抽搐和强直。相反,在钙激活后和促进横桥循环时需要额外的动力学,例如协同肌丝相互作用和重新配置。我们暂时将这些过程归入一个简单的“力促进动力学”一阶模型中,该模型整合到横桥型肌肉模型中。所提出的模型自洽地再现了包括抽搐和强直以及肌电图-力曲线在内的各种刺激下的力发展。该模型的阶跃响应揭示了钙激活(3%)、横桥循环(3%)和收缩(27%)对人体股四头肌整体力发展的相对较小的定时贡献,其余(67%)由力促进解释。相同的模型参数集预测了力幅度(增益)和定时(相位延迟)随兴奋发射率的变化,或随循环收缩频率的变化。虽然实验对于揭示肌肉动力学是必要的,但综合模型对于识别主要的限速过程很有用。