Gait Analysis in Mice with Collagen-Induced Arthritis
Author Information
Author(s): Vincelette Jon, Xu Yifan, Zhang Le-Ning, Schaefer Caralee J, Vergona Ronald, Sullivan Mark E, Hampton Thomas G, Wang Yi-Xin (Jim)
Primary Institution: Bayer HealthCare Pharmaceuticals
Hypothesis
Can non-invasive video-capture gait analysis effectively evaluate a murine model of collagen-induced arthritis?
Conclusion
The study demonstrated that video-capture gait analysis corresponds well to clinical scores in a mouse model of collagen-induced arthritis.
Supporting Evidence
- Gait parameters were correlated with clinical scores, indicating that as arthritis severity increased, gait disturbances also increased.
- The study used a non-invasive method to objectively measure gait, which is typically assessed subjectively.
- The DigiGait system allowed for consistent measurement of gait parameters without the influence of varying walking speeds.
Takeaway
Researchers used a camera to watch how sick mice walked, and found that the way they walked changed as their sickness got worse.
Methodology
The study involved inducing collagen-induced arthritis in mice and using a video-capture system to analyze their gait.
Potential Biases
The clinical scoring was subjectively determined by an investigator, which could introduce bias.
Limitations
The study primarily focused on gait analysis without exploring other potential assessments of arthritis.
Participant Demographics
45 female DBA/1LacJ mice, aged 8 to 10 weeks.
Statistical Information
P-Value
p<0.05
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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