Evidence map›Paper›PMID 27182554›Full record

ArticleJCI insight2016

Integrated expression analysis of muscle hypertrophy identifies

Jonathan R Davey, Kevin I Watt, Benjamin L Parker, Rima Chaudhuri, James G Ryall, Louise Cunningham, Hongwei Qian, Vittorio Sartorelli, Marco Sandri, Jeffrey Chamberlain and 2 more

Open access · goldAbstract read
In one paragraph

Article in JCI insight, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Age-Related Changes in the Matrisome of the Mouse Skeletal Muscle.International journal of molecular sciences · 2021
    Article
  14. Review
  15. Muscle follistatin gene delivery increases muscle protein synthesis independent of periodical physical inactivity and fasting.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2021
    Article
  16. Review
  17. Review
  18. Article
  19. Signaling Pathways That Control Muscle Mass.International journal of molecular sciences · 2020
    Review
  20. 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

12 authors at 4 institutions in 2 countries.

Jonathan R DaveyBaker IDI Heart and Diabetes Institute, Melbourne, Australia.
Kevin I WattBaker IDI Heart and Diabetes Institute, Melbourne, Australia.
Benjamin L ParkerCharles Perkins Centre, School of Molecular Bioscience, The University of Sydney, Sydney, Australia.
Rima ChaudhuriCharles Perkins Centre, School of Molecular Bioscience, The University of Sydney, Sydney, Australia.
James G RyallNational Institute of Arthritis Musculoskeletal and Skin Diseases (NIAMS), NIH, Bethesda, Maryland, USA; Department of Physiology, The University of Melbourne, Melbourne, Australia.
Louise CunninghamBaker IDI Heart and Diabetes Institute, Melbourne, Australia.
Hongwei QianBaker IDI Heart and Diabetes Institute, Melbourne, Australia.
Vittorio SartorelliNational Institute of Arthritis Musculoskeletal and Skin Diseases (NIAMS), NIH, Bethesda, Maryland, USA.
Marco SandriVenetian Institute of Molecular Medicine, The University of Padova, Padova, Italy.
Jeffrey ChamberlainDepartment of Neurology, The University of Washington, Seattle, Washington, USA.
David E JamesCharles Perkins Centre, School of Molecular Bioscience, The University of Sydney, Sydney, Australia; Sydney Medical School, The University of Sydney, Sydney, Australia.
Paul GregorevicBaker IDI Heart and Diabetes Institute, Melbourne, Australia; Department of Physiology, The University of Melbourne, Melbourne, Australia; Department of Neurology, The University of Washington, Seattle, Washington, USA; Department of Biochemistry and Molecular Biology, Monash University, Clayton, Australia.
Baker Heart and Diabetes Institute · AUUniversity of Sydney · AUUniversity of Washington · USUniversity of Melbourne · AU

Funding

Control of Myogenesis and Regulation of MyoD Post-Transcriptional ModificationsZIAAR041126 · NIAMS · NATIONAL INSTITUTE OF ARTHRITIS AND MUSCULOSKELETAL AND SKIN DISEASES · PI SARTORELLI, VITTORIO · 2009 to 2025
$28.7M
Assembly of the Dystrophin-Glycoprotein ComplexR01AR044533 · NIAMS · UNIVERSITY OF WASHINGTON · PI CHAMBERLAIN, JEFFREY S · 1997 to 2021
$8.9M
Vector Research Resource CoreU54AR065139 · NIAMS · UNIVERSITY OF WASHINGTON · PI CHAMBERLAIN, JEFFREY S · 2014 to 2017
$6.3M
Genetic modification of aging and diseased striated muscleR01AG033610 · NIA · UNIVERSITY OF WASHINGTON · PI CHAMBERLAIN, JEFFREY S · 2009 to 2013
$1.9M
NIAMS NIH HHS R01 AR044533NIAMS NIH HHS U54 AR065139NIA NIH HHS R01 AG033610
6 · The paper itself

Abstract

The transforming growth factor-β (TGF-β) signaling network is a critical regulator of skeletal muscle mass and function and, thus, is an attractive therapeutic target for combating muscle disease, but the underlying mechanisms of action remain undetermined. We report that follistatin-based interventions (which modulate TGF-β network activity) can promote muscle hypertrophy that ameliorates aging-associated muscle wasting. However, the muscles of old sarcopenic mice demonstrate reduced response to follistatin compared with healthy young-adult musculature. Quantitative proteomic and transcriptomic analyses of young-adult muscles identified a transcription/translation signature elicited by follistatin exposure, which included repression of ankyrin repeat and SOCS box protein 2 (

Identifiers

PMID27182554
PMCPMC4863241
OpenAlexW2336035698

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.