Literature DB >> 11037127

Preferences of mice, Mus musculus, for different types of running wheel.

S Banjanin1, N Mrosovsky.   

Abstract

Mice are increasingly used in research. In particular, their wheel running is often used as a measure of activity, and as a marker of phase of circadian rhythms. Learning about the preferences of mice for different types of wheel may improve their welfare and suggest ways of increasing activity levels. Mice, Mus musculus, were given a choice between different types of running wheel by putting them in cages equipped with two wheels. Strong preferences were shown for wheels with a plastic mesh flooring, rather than the standard metal rods only. The mesh was even preferred over a solid base, although this effect was not seen in mice that had been given access only to wheels with the solid base immediately prior to the choice test. Small diameter wheels, sometimes sold as mouse wheels, were preferred less than standard-sized wheels with rods. The results suggest that types of running wheel often used in laboratories can be improved by considering the animals' preferences. The types of wheel tested here are easy to maintain and entail little additional cost, while increasing the mouse's interest in running and exercise.

Entities:  

Mesh:

Year:  2000        PMID: 11037127     DOI: 10.1258/002367700780384681

Source DB:  PubMed          Journal:  Lab Anim        ISSN: 0023-6772            Impact factor:   2.471


  14 in total

1.  An environmental enrichment model for mice.

Authors:  Yehezkel Sztainberg; Alon Chen
Journal:  Nat Protoc       Date:  2010-08-12       Impact factor: 13.491

2.  A novel mouse running wheel that senses individual limb forces: biomechanical validation and in vivo testing.

Authors:  Grahm C Roach; Mangesh Edke; Timothy M Griffin
Journal:  J Appl Physiol (1985)       Date:  2012-06-21

3.  Recording and analysis of circadian rhythms in running-wheel activity in rodents.

Authors:  Michael Verwey; Barry Robinson; Shimon Amir
Journal:  J Vis Exp       Date:  2013-01-24       Impact factor: 1.355

Review 4.  Guidelines for animal exercise and training protocols for cardiovascular studies.

Authors:  David C Poole; Steven W Copp; Trenton D Colburn; Jesse C Craig; David L Allen; Michael Sturek; Donal S O'Leary; Irving H Zucker; Timothy I Musch
Journal:  Am J Physiol Heart Circ Physiol       Date:  2020-03-20       Impact factor: 4.733

5.  The calm mouse: an animal model of stress reduction.

Authors:  Blake T Gurfein; Andrew W Stamm; Peter Bacchetti; Mary F Dallman; Nachiket A Nadkarni; Jeffrey M Milush; Chadi Touma; Rupert Palme; Charles Pozzo Di Borgo; Gilles Fromentin; Rachel Lown-Hecht; Jan Pieter Konsman; Michael Acree; Mary Premenko-Lanier; Nicolas Darcel; Frederick M Hecht; Douglas F Nixon
Journal:  Mol Med       Date:  2012-05-09       Impact factor: 6.354

6.  Determining the value of preferred goods based on consumer demand in a home-cage based test for mice.

Authors:  Pia Kahnau; Anne Jaap; Kai Diederich; Lorenz Gygax; Juliane Rudeck; Lars Lewejohann
Journal:  Behav Res Methods       Date:  2022-04-25

Review 7.  Animal Models of Exercise From Rodents to Pythons.

Authors:  Margaret H Hastings; Jonathan J Herrera; J Sawalla Guseh; Bjarni Atlason; Nicholas E Houstis; Azrul Abdul Kadir; Haobo Li; Cedric Sheffield; Anand P Singh; Jason D Roh; Sharlene M Day; Anthony Rosenzweig
Journal:  Circ Res       Date:  2022-06-09       Impact factor: 23.213

8.  Remembering how to run: A descriptive wheel run analysis in CF1 male and female mice.

Authors:  M Jimena Santos; Soledad Picco; Rodrigo Fernández; M Eugenia Pedreira; Mariano Boccia; Martin Klappenbach; Maria C Krawczyk
Journal:  IBRO Neurosci Rep       Date:  2022-04-21

9.  Effect of pain management on immunization efficacy in mice.

Authors:  April M Kolstad; Ramona M Rodriguiz; Caroline J Kim; Laura P Hale
Journal:  J Am Assoc Lab Anim Sci       Date:  2012-07       Impact factor: 1.232

Review 10.  Technologies of sleep research.

Authors:  T Deboer
Journal:  Cell Mol Life Sci       Date:  2007-05       Impact factor: 9.261

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