Evidence map›Paper›PMID 39069822›Full record

ReviewAmerican journal of physiology. Cell physiology2024

The utility of the rodent synergist ablation model in identifying molecular and cellular mechanisms of skeletal muscle hypertrophy.

Benjamin I Burke, Ahmed Ismaeel, John J McCarthy

Abstract readReview
In one paragraph

Review in American journal of physiology. Cell physiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. From gains to liver pain: when exercise training goes too far.Extracellular vesicles and circulating nucleic acids · 2025
    Article
  9. Article
  10. Review
  11. Skeletal muscle hypertrophy: cell growth is cell growth.American journal of physiology. Cell physiology · 2024
    Review
  12. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Benjamin I BurkeDepartment of Physiology, College of Medicine, University of Kentucky, Lexington, Kentucky, United States.ORCID 0000-0003-0228-1750
Ahmed IsmaeelDepartment of Physiology, College of Medicine, University of Kentucky, Lexington, Kentucky, United States.ORCID 0000-0003-4025-3945
John J McCarthyDepartment of Physiology, College of Medicine, University of Kentucky, Lexington, Kentucky, United States.ORCID 0000-0003-4522-5601

Funding

The role of satellite cells in skeletal muscle hypertrophy with agingR01AG069909 · NIA · UNIVERSITY OF KENTUCKY · PI MCCARTHY, JOHN JOSEPH, WEN, YUAN · 2021 to 2025
$2.1M
The effects of exercise on satellite cell dynamics during agingR01AG049806 · NIA · UNIVERSITY OF KENTUCKY · PI MCCARTHY, JOHN JOSEPH, PETERSON, CHARLOTTE A. · 2016 to 2020
$1.8M
HHS | NIH | National Institute on Aging (NIA) R01AG069909NIA NIH HHS R01 AG049806NIA NIH HHS R01 AG069909
6 · The paper itself

Abstract

Skeletal muscle exhibits remarkable plasticity to adapt to stimuli such as mechanical loading. The mechanisms that regulate skeletal muscle hypertrophy due to mechanical overload have been thoroughly studied. Remarkably, our understanding of many of the molecular and cellular mechanisms that regulate hypertrophic growth were first identified using the rodent synergist ablation (SA) model and subsequently corroborated in human resistance exercise training studies. To demonstrate the utility of the SA model, we briefly summarize the hypertrophic mechanisms identified using the model and the following translation of these mechanism to human skeletal muscle hypertrophy induced by resistance exercise training.

Indexed as

HypertrophyMuscle, SkeletalAnimalsHumansResistance TrainingmicroRNAsmTOR signalingprotein synthesisribosome biogenesissatellite cell fusion

Identifiers

PMID39069822
PMCPMC11427019

What OpenQuestion holds

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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.