Evidence map›Paper›PMID 24217021›Full record

ArticleMolecular & cellular proteomics : MCP2014

Label-free quantitative protein profiling of vastus lateralis muscle during human aging.

Laëtitia Théron, Marine Gueugneau, Cécile Coudy, Didier Viala, Astrid Bijlsma, Gillian Butler-Browne, Andrea Maier, Daniel Béchet, Christophe Chambon

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 7% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. The link between Mitochondria and Sarcopenia.Journal of physiology and biochemistry · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Characterization of the Skeletal Muscle Proteome in Undernourished Old Rats.International journal of molecular sciences · 2022
    Article
  13. Article
  14. Age-Related Changes in the Matrisome of the Mouse Skeletal Muscle.International journal of molecular sciences · 2021
    Article
  15. Article
  16. Can Serum Nitrosoproteome Predict Longevity of Aged Women?International journal of molecular sciences · 2020
    Article
  17. Article
  18. Article
  19. Article
  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

9 authors at 6 institutions in 3 countries.

Laëtitia ThéronINRA, Plateforme d'Exploration du Métabolisme (PFEM), composante protéomique, F-63122 Saint Genès Champanelle, France;
Marine Gueugneau
Cécile Coudy
Didier Viala
Astrid Bijlsma
Gillian Butler-Browne
Andrea Maier
Daniel Béchet
Christophe Chambon
Institut National de la Recherche Agronomique · MAUnité de Nutrition Humaine · FRAmsterdam UMC Location Vrije Universiteit Amsterdam · NLCentre National de la Recherche Scientifique · FRGroene Hart Ziekenhuis · NLUniversité Clermont Auvergne · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sarcopenia corresponds to the loss of muscle mass occurring during aging, and is associated with a loss of muscle functionality. Proteomic links the muscle functional changes with protein expression pattern. To better understand the mechanisms involved in muscle aging, we performed a proteomic analysis of Vastus lateralis muscle in mature and older women. For this, a shotgun proteomic method was applied to identify soluble proteins in muscle, using a combination of high performance liquid chromatography and mass spectrometry. A label-free protein profiling was then conducted to quantify proteins and compare profiles from mature and older women. This analysis showed that 35 of the 366 identified proteins were linked to aging in muscle. Most of the proteins were under-represented in older compared with mature women. We built a functional interaction network linking the proteins differentially expressed between mature and older women. The results revealed that the main differences between mature and older women were defined by proteins involved in energy metabolism and proteins from the myofilament and cytoskeleton. This is the first time that label-free quantitative proteomics has been applied to study of aging mechanisms in human skeletal muscle. This approach highlights new elements for elucidating the alterations observed during aging and may lead to novel sarcopenia biomarkers.

Indexed as

ProteomicsAgingBiomarkersEnergy MetabolismFemaleGene Expression ProfilingHumansMass SpectrometryQuadriceps MuscleSarcopeniaBiomarkers

Identifiers

PMID24217021
PMCPMC3879620
OpenAlexW2099304158

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.