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Record W4412416130 · doi:10.37275/bsm.v9i9.1384

The Gut-Muscle Axis in Sarcopenia: A Meta-Analysis of Microbiome Alterations and Their Correlation with Muscle Mass, Strength, and Physical Performance in Older Adults

2025· article· en· W4412416130 on OpenAlexaboutno aff
Vyora Ulvyana, Roza Mulyana, Rose Martini

Bibliographic record

VenueBioscientia Medicina Journal of Biomedicine and Translational Research · 2025
Typearticle
Languageen
FieldMedicine
TopicNutrition and Health in Aging
Canadian institutionsnot available
Fundersnot available
KeywordsSarcopeniaMuscle strengthMuscle massMicrobiomeGut microbiomePhysical medicine and rehabilitationMedicineMeta-analysisBiologyPhysiologyBioinformaticsInternal medicine

Abstract

fetched live from OpenAlex

Background: Sarcopenia, the age-related decline in muscle mass and function, is a major geriatric syndrome. The gut-muscle axis has emerged as a key area of investigation, yet the association between gut microbiome composition and sarcopenic parameters in humans remains quantified by a collection of studies with varied methodologies. This meta-analysis aimed to synthesize the existing correlational evidence linking gut microbiome features to the core components of sarcopenia in older adults. Methods: We performed a systematic search of PubMed, Scopus, Web of Science, and Embase for observational studies published between January 2015 and July 2025 that assessed gut microbiome composition and sarcopenia metrics in adults aged ≥60. Correlation coefficients (r) were pooled using a random-effects model. We assessed heterogeneity using the I² statistic, conducted pre-specified subgroup and sensitivity analyses, and evaluated study quality with the Newcastle-Ottawa Scale (NOS). Results: Six cross-sectional studies (N=1,189) met the inclusion criteria. The methodological quality was high (median NOS score = 8). The pooled analysis revealed a significant, small positive correlation between gut microbial alpha diversity and muscle strength (handgrip strength) (pooled r = 0.19, 95% CI: 0.11-0.27; I² = 41%). The relative abundance of the genus Faecalibacterium, known for its potential to produce butyrate, was significantly correlated with physical performance (pooled r = 0.24, 95% CI: 0.16-0.32; I² = 28%). A non-significant negative correlation was found between the family Enterobacteriaceae and muscle mass (pooled r = -0.14, 95% CI: -0.29-0.01; I² = 62%). Subgroup analysis suggested this heterogeneity was partly explained by the diagnostic criteria used for sarcopenia. Conclusion: This meta-analysis provides quantitative evidence of a modest but significant association between gut microbiome composition and muscle health in older adults. A microbial profile with higher diversity and greater abundance of putative beneficial taxa is correlated with better muscle function. These associative findings, while limited by the cross-sectional nature of the data and the potential for reverse causality, reinforce the clinical relevance of the gut-muscle axis and underscore the need for longitudinal, multi-omic studies to elucidate mechanisms and test microbiome-targeted therapies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.014
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.023
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0140.043
Bibliometrics0.0060.007
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.052
GPT teacher head0.373
Teacher spread0.321 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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