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肌肉再支配的局部特异性可预测功能。

The topographic specificity of muscle reinnervation predicts function.

作者信息

O'Daly Andres, Rohde Charles, Brushart Thomas

机构信息

Department of Orthopaedic Surgery, Johns Hopkins School of Medicine, 601 N. Caroline St., Baltimore, MD, 21287, USA.

Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.

出版信息

Eur J Neurosci. 2016 Feb;43(3):443-50. doi: 10.1111/ejn.13058. Epub 2015 Sep 30.

Abstract

Functional testing has assumed a progressively dominant role in validating the success of experimental nerve repair. Results obtained in one model, however, cannot predict the results in others because they reflect the coordinated interaction of several muscles across multiple joints. As a result, many combinations of topographically correct and incorrect muscle reinnervation could produce the same result. We have developed a binary model in which elbow flexors and extensors are reinnervated, and elbow flexion and extension are the functions tested. The musculocutaneous and radial nerves of Lister-Hooded rats were subjected to axonotmetic injuries that produced increasing degrees of axonal misdirection at the site of injury ranging from simple crush to transection and rotational offset of proximal and distal stumps. Elbow function was tested with a device that requires coordinated elbow extension to reach sugar pellets and flexion to return them to the mouth. After 12 weeks of regeneration, motoneurons projecting to the distal musculocutaneous nerve were retrogradely labelled with WGA-Ruby and scored regarding their location within musculocutaneous or radial motoneuron pools. The severity of axonal misdirection resulting from the initial surgery was mirrored by progressive degrees of inappropriate reinnervation of the musculocutaneous nerve by radial nerve axons. The specificity of reinnervation predicted elbow function (r = 0.72), whereas the number of motoneurons regenerating did not. This model is thus well suited to study the interaction of regeneration specificity and function across a single joint, and to produce data that can be generalized more broadly than those obtained from more complex models.

摘要

功能测试在验证实验性神经修复的成功方面已逐渐占据主导地位。然而,在一个模型中获得的结果无法预测其他模型的结果,因为它们反映了多个关节上几块肌肉的协同相互作用。因此,许多地形学上正确和不正确的肌肉再支配组合可能会产生相同的结果。我们开发了一种二元模型,其中对肘屈肌和伸肌进行再支配,并测试肘的屈伸功能。对利斯特-胡德大鼠的肌皮神经和桡神经进行轴突损伤,在损伤部位产生不同程度的轴突错向,范围从简单挤压到横断以及近端和远端残端的旋转偏移。使用一种需要协调肘部伸展以够到糖丸并屈曲将其送回口中的装置来测试肘部功能。再生12周后,向远端肌皮神经投射的运动神经元用WGA-鲁比逆行标记,并根据它们在肌皮或桡运动神经元池中的位置进行评分。最初手术导致的轴突错向的严重程度与桡神经轴突对肌皮神经进行不适当再支配的逐渐程度相对应。再支配的特异性可预测肘部功能(r = 0.72),而再生的运动神经元数量则不能。因此,该模型非常适合研究单个关节上再生特异性与功能的相互作用,并产生比从更复杂模型中获得的数据更具广泛通用性的数据。

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