Evidence map›Paper›PMID 25392697›Full record

ArticleEnvironmental health insights2014

Volitional Weight-Lifting in Rats Promotes Adaptation via Performance and Muscle Morphology prior to Gains in Muscle Mass.

Erik P Rader, G Roger Miller, Robert D Chetlin, Oliver Wirth, Brent A Baker

Abstract read
In one paragraph

Article in Environmental health insights, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

5 authors.

Erik P RaderCenters for Disease Control and Prevention, National Institute for Occupational Safety and Health, Morgantown, WV, USA.
G Roger MillerCenters for Disease Control and Prevention, National Institute for Occupational Safety and Health, Morgantown, WV, USA.
Robert D ChetlinCenters for Disease Control and Prevention, National Institute for Occupational Safety and Health, Morgantown, WV, USA. ; West Virginia University School of Medicine, Department of Neurology, WV, USA.
Oliver WirthCenters for Disease Control and Prevention, National Institute for Occupational Safety and Health, Morgantown, WV, USA.
Brent A BakerCenters for Disease Control and Prevention, National Institute for Occupational Safety and Health, Morgantown, WV, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Investigation of volitional animal models of resistance training has been instrumental in our understanding of adaptive training. However, these studies have lacked reactive force measurements, a precise performance measure, and morphological analysis at a distinct phase of training - when initial strength gains precede muscle hypertrophy. Our aim was to expose rats to one month of training (70 or 700 g load) on a custom-designed weight-lifting apparatus for analysis of reactive forces and muscle morphology prior to muscle hypertrophy. Exclusively following 700 g load training, forces increased by 21% whereas muscle masses remained unaltered. For soleus (SOL) and tibialis anterior (TA) muscles, 700 g load training increased muscle fiber number per unit area by ∼20% and decreased muscle fiber area by ∼20%. Additionally, number of muscle fibers per section increased by 18% for SOL muscles. These results establish that distinct morphological alterations accompany early strength gains in a volitional animal model of load-dependent adaptive resistance training.

Indexed as

fiber cross-sectional areafiber numberoperant conditioningresistance exercisestereology

Identifiers

PMID25392697
PMCPMC4216651

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.