Evidence map›Paper›PMID 40056411›Full record

ArticleThe Journal of frailty & aging2025

Genetic determinants of muscle health: A population-based study.

Sylvia Maria Affonso da Silva, Priscila Farias Tempaku, Ronaldo D Piovezan, Monica Levy Andersen, Sergio Tufik, Vânia D'Almeida

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Article in The Journal of frailty & aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Sylvia Maria Affonso da SilvaDepartment of Psychobiology, Universidade Federal de São Paulo, Brazil.
Priscila Farias TempakuDepartment of Psychobiology, Universidade Federal de São Paulo, Brazil.
Ronaldo D PiovezanDepartment of Psychobiology, Universidade Federal de São Paulo, Brazil.
Monica Levy AndersenDepartment of Psychobiology, Universidade Federal de São Paulo, Brazil.
Sergio TufikDepartment of Psychobiology, Universidade Federal de São Paulo, Brazil.
Vânia D'AlmeidaDepartment of Psychobiology, Universidade Federal de São Paulo, Brazil. Electronic address: valmeida@unifesp.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMuscle mass is associated with physical and functional performance across adulthood. Its reduction plays a crucial role in the development of age-related conditions such as frailty and sarcopenia. Genetic variations potentially impact muscle health, particularly in an aged population.

objectivesFor this reason, we aimed to evaluate the association between genetic biomarkers and appendicular lean mass index (ALMI), a marker of muscle health, to identify possible risk factors for age-related sarcopenia in a population-based study. MATERIALS AND

methodsWe cross-sectionally analyzed data collected in 2015 from the São Paulo Epidemiologic Sleep Study (EPISONO). Participants underwent bioelectrical impedance and genetic evaluations.

resultsAfter adjusting the data for age and sex, 12 single nucleotide polymorphisms (SNP) were significantly associated with ALMI. Among them, rs9928094 (beta = -0.031 p = 0.029) and rs9930333 (beta = -0.030 p = 0.035) are located in the FTO gene, which is related to obesity and fat gain and, rs16839632 (beta = 0.038 p = 0.029) located in the FMN2 gene, responsible for actin cytoskeleton and cell polarity.

conclusionsPoor muscle health is a multifactorial condition and genetic biomarkers can support the stratification of the risk for adverse body composition states affecting muscle and physical performance across adulthood.

Indexed as

Muscle, SkeletalSarcopeniaAgedAlpha-Ketoglutarate-Dependent Dioxygenase FTOBody CompositionBrazilCross-Sectional StudiesElectric ImpedanceFemaleHumansMaleMiddle AgedPolymorphism, Single NucleotideRisk FactorsAlpha-Ketoglutarate-Dependent Dioxygenase FTOFTO protein, humanBiomarkersBody compositionGenetic ContributionLean MassSarcopeniaSNPs

Identifiers

PMID40056411
PMCPMC12183942

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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.