Neuroscience Research Institute and Department of Neurobiology, School of Basic Medical Sciences, Key Laboratory for Neuroscience, Ministry of Education/National Health Commission, Peking University, Beijing, 100083, China.
Department of Neurobiology, Capital Medical University, Beijing, 100069, China.
Neurosci Bull. 2019 Jun;35(3):401-418. doi: 10.1007/s12264-018-00331-y. Epub 2019 Jan 18.
Investigation of pain requires measurements of nociceptive sensitivity and other pain-related behaviors. Recent studies have indicated the superiority of gait analysis over traditional evaluations (e.g., skin sensitivity and sciatic function index [SFI]) in detecting subtle improvements and deteriorations in animal models. Here, pain-related gait parameters, whose criteria include (1) alteration in pain models, (2) correlation with nociceptive threshold, and (3) normalization by analgesics, were identified in representative models of neuropathic pain (spared nerve injury: coordination data) and inflammatory pain (intraplantar complete Freund's adjuvant: both coordination and intensity data) in the DigiGait™ and CatWalk™ systems. DigiGait™ had advantages in fixed speed (controlled by treadmill) and dynamic SFI, while CatWalk™ excelled in intrinsic velocity, intensity data, and high-quality 3D images. Insights into the applicability of each system may provide guidance for selecting the appropriate gait imaging system for different animal models and optimization for future pain research.
疼痛的研究需要对伤害感受敏感性和其他与疼痛相关的行为进行测量。最近的研究表明，步态分析在检测动物模型中细微的改善和恶化方面优于传统评估方法（例如皮肤敏感性和坐骨神经功能指数[SFI]）。在这里，确定了与疼痛相关的步态参数，其标准包括：（1）在疼痛模型中的改变，（2）与伤害感受阈值的相关性，以及（3）通过镇痛药进行归一化。这些参数在神经病理性疼痛（ spared nerve injury：协调数据）和炎性疼痛（intraplantar complete Freund's adjuvant：协调和强度数据）的代表性模型中，在 DigiGait™ 和 CatWalk™ 系统中进行了识别。DigiGait™ 在固定速度（由跑步机控制）和动态 SFI 方面具有优势，而 CatWalk™ 在固有速度、强度数据和高质量的 3D 图像方面表现出色。对每个系统的适用性的深入了解可能为选择适合不同动物模型的适当步态成像系统以及为未来的疼痛研究进行优化提供指导。
