Objective
In rodent osteoarthritis models, behavioral changes are often subtle and require highly sensitive methods to detect these changes. Gait analysis is one assay that may provide sensitive, quantitative measurement of these behavioral changes1. To increase detection sensitivity of gait assessments relative to spatiotemporal gait collection alone, we combined our spatiotemporal and dynamic gait collection systems. Using this combined system, gait was assessed in the rat medial meniscus transection model and monoiodoacetate injection model of knee osteoarthritis.
Design
36 male Lewis rats were separated into medial meniscus transection (n=8), medial collateral ligament transection (n=8), skin incision (n=4), monoiodoacetate injection (n=8), and saline injection (n=8) groups. After initiation of osteoarthritis, gait data were collected weekly in each group out to 4 weeks.
Results
The medial meniscus transection and monoiodoacetate injection models produced unique pathologic gait profiles, with medial meniscus transection animals developing a shuffling gait and monoiodoacetate injection animals exhibiting antalgic gait. Spatiotemporal changes were also observed in the medial meniscus transection model at week 1 (p<0.01), but were not observed in the monoiodoacetate injection model until week 3 (p<0.01). Dynamic gait changes were observed in both models as early as 1 week post-surgery (p<0.01).
Conclusion
Combined analysis of spatiotemporal and dynamic gait data increased detection sensitivity for gait modification in two rat osteoarthritis models. Analyzing the combined gait data provided a robust characterization of the pathologic gait produced by each model. Furthermore, this characterization revealed different patterns of gait compensations in two common rat models of knee osteoarthritis.