Evidence map›Paper›PMID 26629772›Full record

ArticleCurrent protocols in mouse biology2015

Voluntary Wheel Running in Mice.

Jorming Goh, Warren Ladiges

Abstract read
In one paragraph

Article in Current protocols in mouse biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

77 citing papers in PubMed.

  1. Article
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  5. Twelve weeks of voluntary wheel running restores glucagon sensitivity in middle-aged mice.American journal of physiology. Endocrinology and metabolism · 2026
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17 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Jorming GohDefence Medical and Environmental Research Institute, DSO National Laboratories, Republic of Singapore.
Warren LadigesDepartment of Comparative Medicine, University of Washington, Seattle, Washington.

Funding

SPECIFICITY OF OXYGEN DNA DAMAGE AND MUTAGENESISP01AG001751 · NIA · UNIVERSITY OF WASHINGTON · PI PRUSKY, GLEN THOMAS · 1985 to 2021
$29.6M
University of Washington Nathan Shock Center of Excellence in the Basic Biology of AgingP30AG013280 · NIA · UNIVERSITY OF WASHINGTON · PI Michael MacCoss · 1995 to 2026
$27.1M
Mitochondrial catalase as a treatment for metastatic breast cancerR21CA140916 · NCI · UNIVERSITY OF WASHINGTON · PI LADIGES, WARREN C · 2009 to 2010
$377k
NCI NIH HHS R21 CA140916NCI NIH HHS R21CA140916NIA NIH HHS P01 AG001751NIA NIH HHS P30 AG013280NIA NIH HHS P30 AG13280
6 · The paper itself

Abstract

Voluntary wheel running in the mouse is used to assess physical performance and endurance and to model exercise training as a way to enhance health. Wheel running is a voluntary activity in contrast to other experimental exercise models in mice, which rely on aversive stimuli to force active movement. This protocol consists of allowing mice to run freely on the open surface of a slanted, plastic saucer-shaped wheel placed inside a standard mouse cage. Rotations are electronically transmitted to a USB hub so that frequency and rate of running can be captured via a software program for data storage and analysis for variable time periods. Mice are individually housed so that accurate recordings can be made for each animal. Factors such as mouse strain, gender, age, and individual motivation, which affect running activity, must be considered in the design of experiments using voluntary wheel running.

Indexed as

Physical Conditioning, AnimalAnimalsFemaleMaleMiceMotor Activityexercised-induced health benefitsexercise trainingmouse fitness testingrunning endurancevoluntary wheel running

Identifiers

PMID26629772
PMCPMC4686373

What OpenQuestion holds

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Registered trials

None linked

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.