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肌肉纤维的结构-功能关系:MyoRobot 在线评估肌肉纤维弹性和肌节长度分布。

Structure-Function Relationships in Muscle Fibres: MyoRobot Online Assessment of Muscle Fibre Elasticity and Sarcomere Length Distributions.

出版信息

IEEE Trans Biomed Eng. 2022 Jan;69(1):148-155. doi: 10.1109/TBME.2021.3089739. Epub 2021 Dec 23.

Abstract

OBJECTIVE

Muscle biomechanics is set by the spacing of repetitive striation patterns of individual sarcomeres within single muscle fibres of stacked myofibrils. Sarcomere lengths (SL) are rather unequally distributed than of equal distance. This non-uniformity may affect both, force production as well as passive-elastic deformation. However, online recording of SL during axially imposed strains is cumbersome due to a lack of compact technologies.

METHODS

To fuse SL pattern recognition with restoration force assessments during quasi-static axial stretch, we implemented live tracking of SL distributions simultaneous to voice-coil actuated stretch and restoration force recordings in our MyoRobot 2.0 automated biomechatronics platform. Both were obtained online during stretch-relaxation cycles of murine single muscle fibres.

RESULTS

Under quasi-static stretch conditions (  ∼ 1 μm/s fibre length changes), almost no apparent hysteresis was detected in single fibres. SL showed a non-uniform distribution. While mean SL varied between 2.6 μm and 3.4 μm upon 140% stretch, two populations of fibres were noticed: one showing a minor change in SL distribution with stretch, and one becoming more equally distributed upon stretch.

CONCLUSION

A roughly 5% SL variability under rest either diminishes or remains almost unaltered upon elastic axial deformation. This may reflect differential impact of mostly extra-sarcomeric components to stretch in this stretch range.

SIGNIFICANCE

The augmented functionality of the MyoRobot 2.0 towards online sarcomere analyses within single fibres shall provide a valuable tool for the muscle community to study the contribution of serial elastic and force producing elements in health and disease models.

摘要

目的

肌肉生物力学由堆叠的肌原纤维中单根肌纤维内重复的横纹图案的节段间距决定。肌节长度(SL)的分布相当不均匀,而不是等距的。这种不均匀性可能会影响力的产生和被动弹性变形。然而,由于缺乏紧凑的技术,轴向施加应变时的 SL 在线记录非常繁琐。

方法

为了将 SL 模式识别与准静态轴向拉伸期间的恢复力评估融合,我们在我们的 MyoRobot 2.0 自动化生物机械学平台中实施了 SL 分布的实时跟踪,同时进行音圈驱动的拉伸和恢复力记录。这两者都是在鼠类单根肌纤维的拉伸-松弛循环期间在线获得的。

结果

在准静态拉伸条件下(纤维长度变化约为 1 μm/s),在单根纤维中几乎没有检测到明显的滞后。SL 呈现出不均匀的分布。当拉伸至 140%时,平均 SL 在 2.6 μm 到 3.4 μm 之间变化,注意到两种纤维群体:一种在 SL 分布随拉伸而变化时变化较小,另一种在拉伸时变得更加均匀分布。

结论

在休息时,SL 的大约 5%的变化要么在弹性轴向变形时减小,要么几乎保持不变。这可能反映了在这个拉伸范围内,主要是细胞外节段成分对拉伸的不同影响。

意义

MyoRobot 2.0 的增强功能,可在单根纤维内进行在线肌节分析,将为肌肉研究社区提供有价值的工具,用于研究在健康和疾病模型中串联弹性和产生力的元件的贡献。

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