Evidence map›Paper›PMID 28493029›Full record

ArticleEuropean journal of applied physiology2017

Age and sex differences in human skeletal muscle fibrosis markers and transforming growth factor-β signaling.

Lewan Parker, Marissa K Caldow, Rani Watts, Pazit Levinger, David Cameron-Smith, Itamar Levinger

Abstract read
PubMed Publisher
In one paragraph

Article in European journal of applied physiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 21% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Circulating biomarkers in older adults with and without sarcopenia: a systematic review and meta-analysis.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
    Pooled it
  2. Trial
  3. Review
  4. Article
  5. Correlation between Olink and SomaScan proteomics platforms in adults with a Fontan circulation.International journal of cardiology. Congenital heart disease · 2025
    Article
  6. Review
  7. Reversing Decline in Aging Muscles: Expected Trends, Impacts and Remedies.Journal of functional morphology and kinesiology · 2025
    Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Satellite cell depletion does not affect diaphragm adaptations to hypoxia.Journal of applied physiology (Bethesda, Md. : 1985) · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Role of Transforming Growth Factor-β in Skeletal Muscle Fibrosis: A Review.International journal of molecular sciences · 2019
    Review
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

6 authors at 5 institutions in 2 countries.

Lewan ParkerInstitute of Sport, Exercise and Active Living (ISEAL), Victoria University, PO Box 14428, Melbourne, VIC, 8001, Australia.
Marissa K CaldowMolecular Nutrition Unit, School of Exercise and Nutrition Sciences, Deakin University, Burwood, VIC, Australia.
Rani WattsMolecular Nutrition Unit, School of Exercise and Nutrition Sciences, Deakin University, Burwood, VIC, Australia.
Pazit LevingerInstitute of Sport, Exercise and Active Living (ISEAL), Victoria University, PO Box 14428, Melbourne, VIC, 8001, Australia.
David Cameron-SmithMolecular Nutrition Unit, School of Exercise and Nutrition Sciences, Deakin University, Burwood, VIC, Australia.
Itamar LevingerInstitute of Sport, Exercise and Active Living (ISEAL), Victoria University, PO Box 14428, Melbourne, VIC, 8001, Australia. itamar.levinger@vu.edu.au.
Victoria University · AUAustralian Catholic University · AUUniversity of Auckland · NZUniversity of Melbourne · AUWestern Health · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of the study was to determine whether higher fibrosis markers in skeletal muscle of older adults are accompanied by increased expression of components of the canonical TGF-β signal transduction pathway.

methodsFourteen healthy young (21-35 years; 9 males and 5 females) and seventeen older (55-75 years; 9 males and 8 females) participants underwent vastus lateralis biopsies to determine intramuscular mRNA and protein expression of fibrogenic markers and TGF-β signaling molecules related to TGF-β1 and myostatin.

resultsExpression of mRNA encoding the pro-fibrotic factors; axin 2, collagen III, β-catenin and fibronectin, were all significantly higher (all p < 0.05) in the older participants (350, 170, 298, and 641%, respectively). Furthermore, axin 2 and β-catenin mRNA were significantly higher in older females than older males (p < 0.05). Gene expression of ActRIIB, myostatin, and TGF-β1 were higher in older adults compared to younger adults (all p < 0.05). There was, however, no difference in the total protein content of myostatin, myoD or myogenin (all p > 0.05), whereas Smad3 protein phosphorylation was 48% lower (p < 0.05) in muscle from older adults.

conclusionsIncreased abundance of mRNA of fibrotic markers was observed in muscle from older adults and was partly accompanied by altered abundance of pro-fibrotic ligands in a sex specific manner.

Indexed as

Signal TransductionActivin Receptors, Type IIAdultAgedAgingAxin Proteinbeta CateninCollagen Type IIIFemaleFibronectinsFibrosisHumansMaleMuscle, SkeletalMyostatinRNA, MessengerActivin Receptors, Type IIactivin receptor type II-BAxin Proteinbeta CateninCollagen Type IIIFibronectinsMyostatinRNA, MessengerSmad3 ProteinTransforming Growth Factor betaAgingFibrosisMyostatinSkeletal muscleTGF-β

Identifiers

PMID28493029
OpenAlexW2612238022

What OpenQuestion holds

Textmetadata
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.