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无创性估计人类骨骼肌中的肌球蛋白重链组成。

Noninvasive estimation of myosin heavy chain composition in human skeletal muscle.

机构信息

Institute for Kinesiology Research, Science and Research Centre Koper, University of Primorska, Koper, Slovenia.

出版信息

Med Sci Sports Exerc. 2011 Sep;43(9):1619-25. doi: 10.1249/MSS.0b013e31821522d0.

DOI:10.1249/MSS.0b013e31821522d0
PMID:21552151
Abstract

PURPOSE

Information on muscle fiber type composition is of great importance in muscle physiology and athletic performance. Because there are only a few techniques available that noninvasively and accurately provide an estimate of muscle fiber type composition, the development of additional and alternative approaches is required.

METHODS

Twenty-seven participants (21 men, 6 women) with an average age of 43 ± 18 yr, height of 175 ± 7 cm, and mass of 74 ± 12 kg participated in the study. Delay, contraction, and half relaxation times were calculated from tensiomyographic radial twitch responses of the vastus lateralis muscle. Univariate and multiple linear regression analyses were used to correlate the proportion of myosin heavy chain I (%MHC-I) in a biopsy obtained from the same muscle with a single and all three radial twitch parameters.

RESULTS

Delay, contraction, and half relaxation times all correlated with %MHC-I (r = 0.612, 0.878, and 0.669, respectively, at P ≤ 0.001). When all three parameters were included in a multiple linear regression, the correlation with the %MHC-I was even better (R = 0.933, P < 0.001).

CONCLUSIONS

These data suggest that time parameters of the skeletal muscle mechanical radial twitch response, measured with a contact linear displacement sensor, can be used as an accurate noninvasive predictor of the %MHC-I in a muscle.

摘要

目的

肌肉纤维类型组成的信息在肌肉生理学和运动表现中非常重要。由于目前只有少数非侵入性且准确的技术可以估计肌肉纤维类型组成,因此需要开发其他和替代的方法。

方法

27 名参与者(21 名男性,6 名女性),平均年龄 43±18 岁,身高 175±7cm,体重 74±12kg,参与了这项研究。延迟、收缩和半松弛时间是从股外侧肌的张力肌描记径向抽搐反应中计算出来的。单变量和多元线性回归分析用于将从同一肌肉获得的活检中肌球蛋白重链 I(%MHC-I)的比例与单个和所有三个径向抽搐参数相关联。

结果

延迟、收缩和半松弛时间均与 %MHC-I 相关(r=0.612、0.878 和 0.669,分别为 P≤0.001)。当将所有三个参数包含在多元线性回归中时,与 %MHC-I 的相关性甚至更好(R=0.933,P<0.001)。

结论

这些数据表明,使用接触线性位移传感器测量的骨骼肌机械径向抽搐反应的时间参数可以作为肌肉中 %MHC-I 的准确非侵入性预测指标。

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