Evidence map›Paper›PMID 25532418›Full record

ArticleBMC genomics2014

Proteomics of muscle chronological ageing in post-menopausal women.

Marine Gueugneau, Cécile Coudy-Gandilhon, Ophélie Gourbeyre, Christophe Chambon, Lydie Combaret, Cécile Polge, Daniel Taillandier, Didier Attaix, Bertrand Friguet, Andrea B Maier and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
3.8field-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

48 citing papers in PubMed, 1 synthesis or guideline pooled it, 77 citations in OpenAlex.

  1. Pooled it
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  4. Leveraging mitochondrial stress to improve healthy aging.Sports medicine and health science · 2026
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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.

Marine GueugneauINRA, UMR 1019, Centre de Recherche en Nutrition Humaine, Université d'Auvergne, F-63122, Saint Genès Champanelle, France. marine.gueugneau@uclouvain.be.
Cécile Coudy-GandilhonINRA, UMR 1019, Centre de Recherche en Nutrition Humaine, Université d'Auvergne, F-63122, Saint Genès Champanelle, France. cecile.coudy@clermont.inra.fr.
Ophélie GourbeyreINRA, UMR 1019, Centre de Recherche en Nutrition Humaine, Université d'Auvergne, F-63122, Saint Genès Champanelle, France. ophelie.gourbeyre@gmail.com.
Christophe ChambonINRA, Plateforme d'Exploration du Métabolisme, Composante Protéique, F-63122, Saint Genès Champanelle, France. cchambon@clermont.inra.fr.
Lydie CombaretINRA, UMR 1019, Centre de Recherche en Nutrition Humaine, Université d'Auvergne, F-63122, Saint Genès Champanelle, France. lydie.combaret@clermont.inra.fr.
Cécile PolgeINRA, UMR 1019, Centre de Recherche en Nutrition Humaine, Université d'Auvergne, F-63122, Saint Genès Champanelle, France. cecile.polge@clermont.inra.fr.
Daniel TaillandierINRA, UMR 1019, Centre de Recherche en Nutrition Humaine, Université d'Auvergne, F-63122, Saint Genès Champanelle, France. daniel.taillandier@clermont.inra.fr.
Didier AttaixINRA, UMR 1019, Centre de Recherche en Nutrition Humaine, Université d'Auvergne, F-63122, Saint Genès Champanelle, France. didier.attaix@clermont.inra.fr.
Bertrand FriguetUPMC Université Paris 06, UMR 8256, Biological Adaptation and Ageing - IBPS, CNRS-UMR 8256, INSERM U1164, Sorbonne Universités, F-75005, Paris, France. bertrand.friguet@snv.jussieu.fr.
Andrea B MaierDepartment of Internal Medicine, Section of Gerontology and Geriatrics, VU University Medical Center, Amsterdam, The Netherlands. a.maier@vumc.nl.
Gillian Butler-BrowneInstitut de Myologie, Centre de Recherches en Myologie UMR 974 76, INSERM U974, CNRS FRE 3617, Sorbonne Universités, UPMC Université Paris 06, F-75013, Paris, France. gillian.butler-browne@upmc.fr.
Daniel BéchetINRA, UMR 1019, Centre de Recherche en Nutrition Humaine, Université d'Auvergne, F-63122, Saint Genès Champanelle, France. daniel.bechet@clermont.inra.fr.
Centre de Recherche en Nutrition Humaine d'Auvergne · FRCentre National de la Recherche Scientifique · FRUniversité Clermont Auvergne · FRAmsterdam UMC Location VUmc · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMuscle ageing contributes to both loss of functional autonomy and increased morbidity. Muscle atrophy accelerates after 50 years of age, but the mechanisms involved are complex and likely result from the alteration of a variety of interrelated functions. In order to better understand the molecular mechanisms underlying muscle chronological ageing in human, we have undertaken a top-down differential proteomic approach to identify novel biomarkers after the fifth decade of age.

resultsMuscle samples were compared between adult (56 years) and old (78 years) post-menopausal women. In addition to total muscle extracts, low-ionic strength extracts were investigated to remove high abundance myofibrillar proteins and improve the detection of low abundance proteins. Two-dimensional gel electrophoreses with overlapping IPGs were used to improve the separation of muscle proteins. Overall, 1919 protein spots were matched between all individuals, 95 were differentially expressed and identified by mass spectrometry, and they corresponded to 67 different proteins. Our results suggested important modifications in cytosolic, mitochondrial and lipid energy metabolism, which may relate to dysfunctions in old muscle force generation. A fraction of the differentially expressed proteins were linked to the sarcomere and cytoskeleton (myosin light-chains, troponin T, ankyrin repeat domain-containing protein-2, vinculin, four and a half LIM domain protein-3), which may account for alterations in contractile properties. In line with muscle contraction, we also identified proteins related to calcium signal transduction (calsequestrin-1, sarcalumenin, myozenin-1, annexins). Muscle ageing was further characterized by the differential regulation of several proteins implicated in cytoprotection (catalase, peroxiredoxins), ion homeostasis (carbonic anhydrases, selenium-binding protein 1) and detoxification (aldo-keto reductases, aldehyde dehydrogenases). Notably, many of the differentially expressed proteins were central for proteostasis, including heat shock proteins and proteins involved in proteolysis (valosin-containing protein, proteasome subunit beta type-4, mitochondrial elongation factor-Tu).

conclusionsThis study describes the most extensive proteomic analysis of muscle ageing in humans, and identified 34 new potential biomarkers. None of them were previously recognized as differentially expressed in old muscles, and each may represent a novel starting point to elucidate the mechanisms of muscle chronological ageing in humans.

Indexed as

ProteomicsAgedAgingBiomarkersBlood ProteinsCytoplasmCytoskeletal ProteinsCytotoxinsEnergy MetabolismFemaleHumansLipid MetabolismMiddle AgedMitochondriaMusclesMuscle, SkeletalBiomarkersBlood ProteinsCytoskeletal ProteinsCytotoxins

Identifiers

PMID25532418
PMCPMC4523020
OpenAlexW1756301473

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.