首页> 美国卫生研究院文献>Journal of Anatomy and Physiology >Numerical and areal density estimates of fibre type composition in a skeletal muscle (rat extensor digitorum longus).
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Numerical and areal density estimates of fibre type composition in a skeletal muscle (rat extensor digitorum longus).

机译:骨骼肌中纤维类型成分(大鼠伸指长肌)的数字和面密度估计。

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摘要

The composition of a mixed fast skeletal muscle (rat extensor digitorum longus) was examined to quantify the difference between the relative number of the three major fibre types in a representative muscle and their relative contribution to muscle cross-section, i.e. numerical (NN) and areal (AA) densities, respectively. These two indices clearly differ in their physiological relevance. While the former may be useful in describing hyperplasia, the latter allows for differences in size among fibre types. When estimated as NN, over 20% of fields contained 5-10% SO fibres and less than 5% had 75-80% FG fibres. In contrast, only 2% of fields had an AA of 5-10% for SO fibres while around 30% contained 75-80% FG fibres. The importance of a direct method for estimating AA is emphasised, as an indirect approach may have an error of 20-30% when used for oxidative fibre types. The use of an unbiased sampling regime to minimise error in determining both numerical and areal densities of different fibre types is illustrated.
机译:检查了混合快速骨骼肌(大鼠伸指长肌)的成分,以量化代表性肌肉中三种主要纤维类型的相对数量及其对肌肉横截面的相对贡献之间的差异,即数值(NN)和区域(AA)密度。这两个指数的生理相关性明显不同。尽管前者可用于描述增生,但后者允许纤维类型之间的大小差异。当以NN估算时,超过20%的场包含5-10%的SO纤维,少于5%的场包含75-80%的FG纤维。相反,对于SO纤维,只有2%的场的AA为5-10%,而大约30%的场包含75-80%的FG纤维。强调了估计AA的直接方法的重要性,因为当用于氧化纤维类型时,间接方法的误差可能为20-30%。说明了在确定不同光纤类型的数值密度和面密度时使用无偏差采样方案以最大程度地减少误差。

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