Evidence map›Paper›PMID 23802635›Full record

ReviewAging cell2013

The influence of skeletal muscle on systemic aging and lifespan.

Fabio Demontis, Rosanna Piccirillo, Alfred L Goldberg, Norbert Perrimon

Open access · bronzeAbstract readReview
In one paragraph

Review in Aging cell, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 132 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
132citing papers in PubMed, 3 pooled it
4.5field-weighted citation impact, top 4% 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

132 citing papers in PubMed, 3 syntheses or guidelines pooled it, 231 citations in OpenAlex.

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  19. Effects and Mechanisms of Long-TermFoods (Basel, Switzerland) · 2025
    Article
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72 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

4 authors at 3 institutions in 2 countries.

Fabio DemontisDepartment of Genetics, Harvard Medical School, Boston, MA, 02115, USA; Division of Developmental Biology, Department of Developmental Neurobiology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
Rosanna Piccirillo
Alfred L Goldberg
Norbert Perrimon
Harvard University · USHoward Hughes Medical Institute · USSt. Jude Children's Research Hospital · US

Funding

Characterization of the Insulin to Autophagy Pathway in MusclesR01AR057352 · NIAMS · HARVARD MEDICAL SCHOOL · PI NORBERT PERRIMON · 2010 to 2026
$8.2M
Molecular Mechanisms that Cause Muscle AtrophyR01AR055255 · NIAMS · HARVARD MEDICAL SCHOOL · PI GOLDBERG, ALFRED L · 2008 to 2012
$1.9M
NIAMS NIH HHS AR055255NIAMS NIH HHS R01 AR055255NIAMS NIH HHS R01 AR057352NIAMS NIH HHS R01AR057352
6 · The paper itself

Abstract

Epidemiological studies in humans suggest that skeletal muscle aging is a risk factor for the development of several age-related diseases such as metabolic syndrome, cancer, Alzheimer's and Parkinson's disease. Here, we review recent studies in mammals and Drosophila highlighting how nutrient- and stress-sensing in skeletal muscle can influence lifespan and overall aging of the organism. In addition to exercise and indirect effects of muscle metabolism, growing evidence suggests that muscle-derived growth factors and cytokines, known as myokines, modulate systemic physiology. Myokines may influence the progression of age-related diseases and contribute to the intertissue communication that underlies systemic aging.

Indexed as

AnimalsCell CommunicationCytokinesExerciseHumansLongevityMuscle, SkeletalOrgan SpecificityCytokinesexerciseintertissue communication during agingmyokine signalingskeletal muscle agingsystemic aging

Identifiers

PMID23802635
PMCPMC3838468
OpenAlexW2096691898

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.