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Short Session High Intensity Interval Training and Treadmill Assessment in Aged Mice
Published on: February 2, 2019
Age, experience and genetic background influence treadmill walking in mice
Christine M Wooley1, Shuqin Xing, Robert W Burgess
1The Jackson Laboratory, 600 Main St., Bar Harbor, Maine, 04609, USA.
Physiology & Behavior
|November 26, 2008
Summary
Treadmill gait analysis in mice is sensitive to age, genetics, and repeated trials. Factors like age-related changes and repeat testing significantly alter mouse locomotion patterns, impacting motor performance data interpretation.
Area of Science:
- Neuroscience
- Biomechanics
- Animal Models
Background:
- Treadmill locomotion is a common method for mouse gait analysis.
- Treadmill walking differs from overground locomotion and is sensitive to testing conditions.
- Understanding factors influencing treadmill gait is crucial for accurate motor performance assessment.
Purpose of the Study:
- To investigate the impact of age, genetic background, and repeated trials on mouse treadmill locomotion.
- To identify how these factors affect gait parameters such as stride length and frequency.
- To provide guidance for optimizing experimental design in mouse gait studies.
Main Methods:
- Analysis of gait parameters in C57BL/6J mice across different ages.
- Evaluation of gait changes in response to repeated treadmill trials with varying intervals.
- Comparison of treadmill gait patterns across eight different inbred mouse strains.
Main Results:
- Aging mice (1-6 months) exhibit longer, less frequent strides, linked to size and weight changes.
- Repeated trials lead to modified gait patterns, including shorter swing phase and greater duty factor.
- Short retest intervals (3 min) result in shorter, more frequent steps, with variability based on trial history.
- Significant variations in stride length and frequency were observed among different inbred mouse strains.
Conclusions:
- Age, genetic background, and trial repetition are critical variables influencing mouse treadmill gait.
- These factors must be carefully considered to ensure reliable interpretation of motor performance data.
- The findings support further mechanistic studies and inform the design of robust mouse gait analysis experiments.

