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骨骼肌中力与高频刚度的相关机制。

Mechanisms relating force and high-frequency stiffness in skeletal muscle.

作者信息

Bobet J, Stein R B, Oğuztöreli M N

机构信息

Department of Physiology, University of Alberta, Edmonton, Canada.

出版信息

J Biomech. 1990;23 Suppl 1:13-21. doi: 10.1016/0021-9290(90)90037-4.

Abstract

Muscle stiffness increases faster than muscle force during the rising phase of a tetanic contraction, and decreases more slowly during the falling phase. Different models of the stiffness arising from series, parallels, and crossbridge elasticity were compared to determine whether they could account quantitatively for the observed time course of force and stiffness. Data for slow and fast twitch mouse muscles at temperatures from 6 to 37 degrees C (Stein and Gordon, Can. J. Physiol. Pharmacol. 64, 1236-1244, 1986) and for single frog muscle fibers (Cecchi et al., Contractile Mechanisms in Muscle, pp. 641-655. Plenum, New York, 1984) were compared. The results showed that a good fit to the data for mouse muscles could be obtained with a model in which: (1) a nonlinear series elasticity contributed significantly to stiffness; (2) the attached crossbridges went from a stiff, force-generating state to a stiff, non-force-generating state; and (3) the rate of transition between these two states increased abruptly at the onset of relaxation. The increased transition rate probably arises from the internal rearrangement in which some sarcomeres shorten at the expense of other sarcomeres, once the muscle begins to relax. A significant series elasticity was not required for the frog data, but a pre-tension state was then needed to obtain a good fit.

摘要

在强直收缩的上升阶段,肌肉僵硬度比肌肉力量增加得更快,而在下降阶段,肌肉僵硬度的下降则更为缓慢。研究人员比较了由串联弹性、并联弹性和横桥弹性产生的僵硬度的不同模型,以确定它们是否能定量解释观察到的力量和僵硬度的时间进程。研究人员比较了6至37摄氏度下慢肌和快肌小鼠肌肉的数据(斯坦因和戈登,《加拿大生理学与药理学杂志》64,1236 - 1244,1986)以及单根青蛙肌肉纤维的数据(切奇等人,《肌肉收缩机制》,第641 - 655页。普伦出版社,纽约,1984)。结果表明,对于小鼠肌肉的数据,采用以下模型可以得到很好的拟合:(1)非线性串联弹性对僵硬度有显著贡献;(2)附着的横桥从僵硬的、产生力量的状态转变为僵硬的、不产生力量的状态;(3)在松弛开始时,这两种状态之间的转变速率突然增加。转变速率的增加可能源于内部重排,即一旦肌肉开始松弛,一些肌节缩短而以其他肌节为代价。对于青蛙的数据,不需要显著的串联弹性,但需要一个预张紧状态才能得到很好的拟合。

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