Evidence map›Paper›PMID 25348078›Full record

ReviewCalcified tissue international2015

Implications of exercise training and distribution of protein intake on molecular processes regulating skeletal muscle plasticity.

Lee M Margolis, Donato A Rivas

Abstract readReview
In one paragraph

Review in Calcified tissue international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 31% of its field
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

5 citing papers in PubMed, 17 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. 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

2 authors at 1 institution in 1 country.

Lee M MargolisNutrition, Exercise Physiology and Sarcopenia Laboratory, Jean Mayer USDA Human Nutrition Research Center On Aging, Tufts University, 711 Washington Street, Boston, MA, 02111, USA.
Donato A Rivas
Tufts University · US

Funding

TUFTS--FIELDINGP30AG031679 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI Thomas Glenn Travison · 2008 to 2026
$23.9M
Role of MicroRNAs on Age and Contraction-induced Skeletal Muscle GrowthK01AG047247 · NIA · TUFTS UNIVERSITY BOSTON · PI RIVAS, DONATO A · 2015 to 2019
$488k
NIA NIH HHS 1P30AG031679NIA NIH HHS K01 AG047247NIA NIH HHS P30 AG031679
6 · The paper itself

Abstract

To optimize its function, skeletal muscle exhibits exceptional plasticity and possesses the fundamental capacity to adapt its metabolic and contractile properties in response to various external stimuli (e.g., external loading, nutrient availability, and humoral factors). The adaptability of skeletal muscle, along with its relatively large mass and high metabolic rate, makes this tissue an important contributor to whole body health and mobility. This adaptational process includes changes in the number, size, and structural/functional properties of the myofibers. The adaptations of skeletal muscle to exercise are highly interrelated with dietary intake, particularly dietary protein, which has been shown to further potentiate exercise training-induced adaptations. Understanding the molecular adaptation of skeletal muscle to exercise and protein consumption is vital to elicit maximum benefit from exercise training to improve human performance and health. In this review, we will provide an overview of the molecular pathways regulating skeletal muscle adaptation to exercise and protein, and discuss the role of subsequent timing of nutrient intake following exercise.

Indexed as

Cell PlasticityAdaptation, PhysiologicalAnimalsExerciseHumansMuscle, SkeletalProteinsProteins

Identifiers

PMID25348078
PMCPMC6691734
OpenAlexW2065767358

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.