首页> 美国卫生研究院文献>Journal of Visualized Experiments : JoVE >Sagittal Plane Kinematic Gait Analysis in C57BL/6 Mice Subjected to MOG35-55 Induced Experimental Autoimmune Encephalomyelitis
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Sagittal Plane Kinematic Gait Analysis in C57BL/6 Mice Subjected to MOG35-55 Induced Experimental Autoimmune Encephalomyelitis

机译:C57BL / 6小鼠MOG35-55诱导实验性自身免疫性脑脊髓炎的矢状面运动步态分析

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摘要

Kinematic gait analysis in the sagittal plane has frequently been used to characterize motor deficits in multiple sclerosis (MS). We describe the application of these techniques to identify gait deficits in a mouse model of MS, known as experimental autoimmune encephalomyelitis (EAE). Paralysis and motor deficits in mice subjected to EAE are typically assessed using a clinical scoring scale. However, this scale yields only ordinal data that provides little information about the precise nature of the motor deficits. EAE disease severity has also been assessed by rotarod performance, which provides a measure of general motor coordination. By contrast, kinematic gait analysis of the hind limb in the sagittal plane generates highly precise information about how movement is impaired. To perform this procedure, reflective markers are placed on a hind limb to detect joint movement while a mouse is walking on a treadmill. Motion analysis software is used to measure movement of the markers during walking. Kinematic gait parameters are then derived from the resultant data. We show how these gait parameters can be used to quantify impaired movements of the hip, knee, and ankle joints in EAE. These techniques may be used to better understand disease mechanisms and identify potential treatments for MS and other neurodegenerative disorders that impair mobility.
机译:矢状面的运动步态分析经常被用来表征多发性硬化症(MS)中的运动功能障碍。我们描述了这些技术的应用,以识别MS小鼠模型中的步态缺陷,称为实验性自身免疫性脑脊髓炎(EAE)。通常使用临床评分量表评估遭受EAE的小鼠的瘫痪和运动功能障碍。但是,该量表仅产生序数数据,该序数数据几乎没有提供有关运动不足的确切性质的信息。 EAE疾病的严重程度也已通过旋转脚踏车的性能进行了评估,该性能提供了一般运动协调性的度量。相比之下,在矢状面中后肢的运动步态分析会生成有关运动如何受到损害的高度精确的信息。为了执行此过程,将反射标记放置在后肢上,以检测鼠标在跑步机上行走时的关节运动。运动分析软件用于测量步行过程中标记的运动。然后从所得数据中得出运动步态参数。我们展示了如何使用这些步态参数来量化EAE中髋,膝和踝关节受损的运动。这些技术可用于更好地了解疾病机制并确定MS和其他损害活动能力的神经退行性疾病的潜在治疗方法。

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