ArticleJournal of neuromuscular diseases
Night Activity Reduction is a Signature Physiological Biomarker for Duchenne Muscular Dystrophy Dogs.
Article in Journal of neuromuscular diseases. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed, 8 citations in OpenAlex.
- Canine Model of Duchenne Muscular Dystrophy.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Long-term, age-associated activity quantification in the DE50-MD dog model of Duchenne muscular dystrophy.Disease models & mechanisms · 2025Article
- Physiological Assessment of Muscle, Heart, and Whole Body Function in the Canine Model of Duchenne Muscular Dystrophy.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Dystrophin deficiency impairs vascular structure and function in the canine model of Duchenne muscular dystrophy.The Journal of pathology · 2021Article
- Questions Answered and Unanswered by the First CRISPR Editing Study in a Canine Model of Duchenne Muscular Dystrophy.Human gene therapy · 2019Article
- Non-invasive evaluation of muscle disease in the canine model of Duchenne muscular dystrophy by electrical impedance myography.PloS one · 2017Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
backgroundDuchenne muscular dystrophy (DMD) is an X-linked lethal muscle disease. Dystrophic dogs are excellent models to test novel therapies for DMD. However, the use of the dog model has been hindered by the lack of an effective method to evaluate whole-body mobility. We recently showed that night activity is a good indicator of dog mobility. However, our published method relies on frame-by-frame manual processing of a 12-hour video for each dog. This labor-intensive and time-consuming approach makes it unrealistic to use this assay as a routine outcome measurement.
objectiveTo solve this problem, we developed an automatic video-capturing/imaging processing system. The new system reduces the data analysis time over 1,000 fold and also provides a more detailed activity profile of the dog.
methodsUsing the new system, we analyzed more than 120 twelve-hour recordings from 12 normal and 22 affected dogs.
resultsWe observed similar activity profiles during repeated recording of the same dog. Throughout the night, normal dogs were in motion 10.4 ± 0.9% of the time while affected dogs were in motion 4.6 ± 0.2% of the time (
conclusionsOur results suggest that night activity reduction is a robust, quantitative physiological biomarker for dystrophic dogs. The new system may be applicable to study mobility in other species.
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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.