Evidence map›Paper›PMID 27019136›Full record

ArticleAging2016

A robust neuromuscular system protects rat and human skeletal muscle from sarcopenia.

Alice Pannérec, Margherita Springer, Eugenia Migliavacca, Alex Ireland, Mathew Piasecki, Sonia Karaz, Guillaume Jacot, Sylviane Métairon, Esther Danenberg, Frédéric Raymond and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Aging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 1 pooled it
6.8field-weighted citation impact, top 3% 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

69 citing papers in PubMed, 1 synthesis or guideline pooled it, 103 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Exercise suppresses DEAF1 to normalize mTORC1 activity and reverse muscle aging.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  12. Article
  13. Article
  14. Review
  15. Sarcopenia.Nature reviews. Disease primers · 2024
    Review
  16. Article
  17. Skeletal muscle dysfunction with advancing age.Clinical science (London, England : 1979) · 2024
    Review
  18. Article
  19. Article
  20. Article

9 more citing papers are in PubMed but not listed here.

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

13 authors at 3 institutions in 2 countries.

Alice PannérecNestlé Institute of Health Sciences, EPFL Innovation Park, 1015 Lausanne, Switzerland.
Margherita SpringerNestlé Institute of Health Sciences, EPFL Innovation Park, 1015 Lausanne, Switzerland.
Eugenia MigliavaccaNestlé Institute of Health Sciences, EPFL Innovation Park, 1015 Lausanne, Switzerland.
Alex IrelandSchool of Healthcare Science, Manchester Metropolitan University, Manchester, UK.
Mathew PiaseckiSchool of Healthcare Science, Manchester Metropolitan University, Manchester, UK.
Sonia KarazNestlé Institute of Health Sciences, EPFL Innovation Park, 1015 Lausanne, Switzerland.
Guillaume JacotNestlé Institute of Health Sciences, EPFL Innovation Park, 1015 Lausanne, Switzerland.
Sylviane MétaironNestlé Institute of Health Sciences, EPFL Innovation Park, 1015 Lausanne, Switzerland.
Esther DanenbergNestlé Institute of Health Sciences, EPFL Innovation Park, 1015 Lausanne, Switzerland.
Frédéric RaymondNestlé Institute of Health Sciences, EPFL Innovation Park, 1015 Lausanne, Switzerland.
Patrick DescombesNestlé Institute of Health Sciences, EPFL Innovation Park, 1015 Lausanne, Switzerland.
Jamie S McPheeSchool of Healthcare Science, Manchester Metropolitan University, Manchester, UK.
Jerome N FeigeNestlé Institute of Health Sciences, EPFL Innovation Park, 1015 Lausanne, Switzerland.
École Polytechnique Fédérale de Lausanne · CHManchester Metropolitan University · GBNestlé (Switzerland) · CH

Funding

Medical Research Council MR/K025252/1
6 · The paper itself

Abstract

Declining muscle mass and function is one of the main drivers of loss of independence in the elderly. Sarcopenia is associated with numerous cellular and endocrine perturbations, and it remains challenging to identify those changes that play a causal role and could serve as targets for therapeutic intervention. In this study, we uncovered a remarkable differential susceptibility of certain muscles to age-related decline. Aging rats specifically lose muscle mass and function in the hindlimbs, but not in the forelimbs. By performing a comprehensive comparative analysis of these muscles, we demonstrate that regional susceptibility to sarcopenia is dependent on neuromuscular junction fragmentation, loss of motoneuron innervation, and reduced excitability. Remarkably, muscle loss in elderly humans also differs in vastus lateralis and tibialis anterior muscles in direct relation to neuromuscular dysfunction. By comparing gene expression in susceptible and non-susceptible muscles, we identified a specific transcriptomic signature of neuromuscular impairment. Importantly, differential molecular profiling of the associated peripheral nerves revealed fundamental changes in cholesterol biosynthetic pathways. Altogether our results provide compelling evidence that susceptibility to sarcopenia is tightly linked to neuromuscular decline in rats and humans, and identify dysregulation of sterol metabolism in the peripheral nervous system as an early event in this process.

Indexed as

TranscriptomeAdolescentAdultAgedAged, 80 and overAgingAnimalsFemaleGene ExpressionHumansMaleMuscle, SkeletalMuscular AtrophyRatsSarcopeniaYoung Adultneuromuscular junctionphysical frailtysarcopeniaskeletal muscle

Identifiers

PMID27019136
PMCPMC4925824
OpenAlexW2333271618

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.