ArticleJournal of applied physiology (Bethesda, Md. : 1985)2012
A novel mouse running wheel that senses individual limb forces: biomechanical validation and in vivo testing.
Article in Journal of applied physiology (Bethesda, Md. : 1985), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 15 citations in OpenAlex.
- Age-dependent effects of TRPA1 deficiency on pain and osteoarthritis pathology following joint injury in mice.Arthritis research & therapy · 2026Article
- PoWeR elicits intracellular signaling, mitochondrial adaptations, and hypertrophy in multiple muscles consistent with endurance and resistance exercise training.Journal of applied physiology (Bethesda, Md. : 1985) · 2025Article
- Trade-offs in muscle physiology in selectively bred high runner mice.The Journal of experimental biology · 2022Article
- Effects of selective breeding for voluntary exercise, chronic exercise, and their interaction on muscle attachment site morphology in house mice.Journal of anatomy · 2022Article
- Voluntary Resistance Running as a Model to Induce mTOR Activation in Mouse Skeletal Muscle.Frontiers in physiology · 2019Article
- Gait analysis methods for rodent models of arthritic disorders: reviews and recommendations.Osteoarthritis and cartilage · 2016Review
- Identification of mouse gaits using a novel force-sensing exercise wheel.Journal of applied physiology (Bethesda, Md. : 1985) · 2015Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biomechanical data provide fundamental information about changes in musculoskeletal function during development, adaptation, and disease. To facilitate the study of mouse locomotor biomechanics, we modified a standard mouse running wheel to include a force-sensitive rung capable of measuring the normal and tangential forces applied by individual paws. Force data were collected throughout the night using an automated threshold trigger algorithm that synchronized force data with wheel-angle data and a high-speed infrared video file. During the first night of wheel running, mice reached consistent running speeds within the first 40 force events, indicating a rapid habituation to wheel running, given that mice generated >2,000 force-event files/night. Average running speeds and peak normal and tangential forces were consistent throughout the first four nights of running, indicating that one night of running is sufficient to characterize the locomotor biomechanics of healthy mice. Twelve weeks of wheel running significantly increased spontaneous wheel-running speeds (16 vs. 37 m/min), lowered duty factors (ratio of foot-ground contact time to stride time; 0.71 vs. 0.58), and raised hindlimb peak normal forces (93 vs. 115% body wt) compared with inexperienced mice. Peak normal hindlimb-force magnitudes were the primary force component, which were nearly tenfold greater than peak tangential forces. Peak normal hindlimb forces exceed the vertical forces generated during overground running (50-60% body wt), suggesting that wheel running shifts weight support toward the hindlimbs. This force-instrumented running-wheel system provides a comprehensive, noninvasive screening method for monitoring gait biomechanics in mice during spontaneous locomotion.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.