Ritter Jana, Menger Maximilian, Herath Steven C, Histing Tina, Kolbenschlag Jonas, Daigeler Adrien, Heinzel Johannes C, Prahm Cosima
Department of Hand-, Plastic, Reconstructive and Burn Surgery, BG Klinik Tuebingen, University of Tuebingen, Tuebingen, Germany.
Department of Trauma and Reconstructive Surgery, BG Klinik Tuebingen, University of Tuebingen, Tuebingen, Germany.
Front Med (Lausanne). 2023 Oct 6;10:1255215. doi: 10.3389/fmed.2023.1255215. eCollection 2023.
Arthritic disorders have become one of the main contributors to the global burden of disease. Today, they are one of the leading causes of chronic pain and disability worldwide. Current therapies are incapable of treating pain sufficiently and preventing disease progression. The lack of understanding basic mechanisms underlying the initiation, maintenance and progression of arthritic disorders and related symptoms represent the major obstacle in the search for adequate treatments. For a long time, histological evaluation of joint pathology was the predominant outcome parameter in preclinical arthritis models. Nevertheless, quantification of pain and functional limitations analogs to arthritis related symptoms in humans is essential to enable bench to bedside translation and to evaluate the effectiveness of new treatment strategies. As the experience of pain and functional deficits are often associated with altered gait behavior, in the last decades, automated gait analysis has become a well-established tool for the quantitative evaluation of the sequalae of arthritic disorders in animal models. The purpose of this review is to provide a detailed overview on the current literature on the use of the CatWalk gait analysis system in rodent models of arthritic disorders, e.g., Osteoarthritis, Monoarthritis and Rheumatoid Arthritis. Special focus is put on the assessment and monitoring of pain-related behavior during the course of the disease. The capability of evaluating the effect of distinct treatment strategies and the future potential for the application of the CatWalk in rodent models of arthritic disorders is also addressed in this review. Finally, we discuss important consideration and provide recommendations on the use of the CatWalk in preclinical models of arthritic diseases.
关节炎性疾病已成为全球疾病负担的主要促成因素之一。如今，它们是全球慢性疼痛和残疾的主要原因之一。目前的治疗方法无法充分治疗疼痛并预防疾病进展。对关节炎性疾病及其相关症状的起始、维持和进展的基本机制缺乏了解，是寻找适当治疗方法的主要障碍。长期以来，在临床前关节炎模型中，关节病理学的组织学评估一直是主要的结果参数。然而，对与人类关节炎相关症状类似的疼痛和功能限制进行量化，对于实现从 bench 到 bedside 的转化以及评估新治疗策略的有效性至关重要。由于疼痛和功能缺陷的体验通常与步态行为改变有关，在过去几十年中，自动步态分析已成为评估动物模型中关节炎性疾病后遗症的成熟工具。本综述的目的是详细概述目前关于在关节炎性疾病（如骨关节炎、单关节炎和类风湿关节炎）啮齿动物模型中使用 CatWalk 步态分析系统的文献。特别关注疾病过程中与疼痛相关行为的评估和监测。本综述还讨论了评估不同治疗策略效果的能力以及 CatWalk 在关节炎性疾病啮齿动物模型中的未来应用潜力。最后，我们讨论了重要的注意事项，并就 CatWalk 在关节炎性疾病临床前模型中的使用提供建议。
