Gait analysis is a useful tool to understand behavioral changes in preclinical arthritis models. While observational scoring and spatiotemporal gait parameters are the most widely performed gait analyses in rodents, commercially available systems can now provide quantitative assessments of spatiotemporal patterns. However, inconsistencies remain between testing platforms, and laboratories often select different gait pattern descriptors to report in the literature. Rodent gait can also be described through kinetic and kinematic analyses, but systems to analyze rodent kinetics and kinematics are typically custom made and often require sensitive, custom equipment. While the use of rodent gait analysis rapidly expands, it is important to remember that, while rodent gait analysis is a relatively modern behavioral assay, the study of quadrupedal gait is not new. Nearly all gait parameters are correlated, and a collection of gait parameters is needed to understand a compensatory gait pattern used by the animal. As such, a change in a single gait parameter is unlikely to tell the full biomechanical story; and to effectively use gait analysis, one must consider how multiple different parameters contribute to an altered gait pattern. The goal of this article is to review rodent gait analysis techniques and provide recommendations on how to use these technologies in rodent arthritis models, including discussions on the strengths and limitations of observational scoring, spatiotemporal, kinetic, and kinematic measures. Recognizing rodent gait analysis is an evolving tool, we also provide technical recommendations we hope will improve the utility of these analyses in the future.

Locomotive changes are often associated with disease or injury, and these changes can be quantified through gait analysis. Gait analysis has been applied to preclinical studies, providing quantitative behavioural assessment with a reasonable clinical analogue. However, available gait analysis technology for small animals is somewhat limited. Furthermore, technological and analytical challenges can limit the effectiveness of preclinical gait analysis. The Gait Analysis Instrumentation and Technology Optimized for Rodents (GAITOR) Suite is designed to increase the accessibility of preclinical gait analysis to researchers, facilitating hardware and software customization for broad applications. Here, the GAITOR Suite’s utility is demonstrated in 4 models: a monoiodoacetate (MIA) injection model of joint pain, a sciatic nerve injury model, an elbow joint contracture model, and a spinal cord injury model. The GAITOR Suite identified unique compensatory gait patterns in each model, demonstrating the software’s utility for detecting gait changes in rodent models of highly disparate injuries and diseases. Robust gait analysis may improve preclinical model selection, disease sequelae assessment, and evaluation of potential therapeutics. Our group has provided the GAITOR Suite as an open resource to the research community at www.GAITOR.org, aiming to promote and improve the implementation of gait analysis in preclinical rodent models.

A promising treatment strategy for spinal cord injury (SCI) is to reduce inhibition from chondroitin sulfate proteoglycans (CSPGs). For example, administering intracellular σ peptide (ISP) can improve the ability of axons to cross inhibitory CSPGs and improve function in rodent models of SCI. To translate such treatments into the clinic, we need robust and sensitive methods for studying rodent models. In this study, we applied a newly developed suite of quantitative gait analysis tools, GAITOR (gait analysis instrumentation and technology optimized for rodents), which consists of an arena and open-source software (AGATHA: automated gait analysis through hues and areas). We showed that GAITOR can be used to detect subtle functional improvements (measured by hindlimb duty factor imbalance) in rats following ISP administration in a T10 hemisection injury model. We demonstrated that SCI-specific parameters (right paw placement accuracy and phase dispersion) can be easily added to GAITOR to track recovery. We confirmed the gait observations via retrograde tracer uptake. We concluded that GAITOR is a powerful tool for measuring recovery after moderate/mild SCI, and could be used to replace expensive/inflexible commercially-available gait analysis techniques.

Background Detecting behaviors related to orofacial pain in rodent models often relies on subjective investigator grades or methods that place the animal in a stressful environment. In this study, an operant-based behavioral assay is presented for the assessment of orofacial tactile sensitivity in the rat. New Methods In the testing chamber, rats are provided access to a sweetened condensed milk bottle; however, a 360° array of stainless steel wire loops impedes access. To receive the reward, an animal must engage the wires across the orofacial region. Contact with the bottle triggers a motor, requiring the animal to accept increasing pressure on the face during the test. To evaluate this approach, tolerated bottle distance was measured for 10 hairless Sprague-Dawley rats at baseline and 30 minutes after application of capsaicin cream (0.1%) to the face. The experiment was repeated to evaluate the ability of morphine to reverse this effect. Results The application of capsaicin cream reduced tolerated bottle distance measures relative to baseline (p<0.05). As long as morphine did not cause reduced participation due to sedation, subcutaneous morphine dosing reduced the effects of capsaicin (p<0.001). Comparison with Existing Method For behavioral tests, experimenters often make subjective decisions of an animal’s response. Operant methods can reduce these effects by measuring an animal’s selection in a reward-conflict decision. Herein, a method to measure orofacial sensitivity is presented using an operant system. Conclusions This operant device allows for consistent measurement of heightened tactile sensitivity in the orofacial regions of the rat.