ArticleJournal of cachexia, sarcopenia and muscle2022
Sex-specific associations between gut microbiota and skeletal muscle mass in a population-based study.
Article in Journal of cachexia, sarcopenia and muscle, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
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Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.
- Changes in the gut microbiota of patients with sarcopenia based on 16S rRNA gene sequencing: a systematic review and meta-analysis.Frontiers in nutrition · 2024Pooled it
- The Effects of Soy Protein-Rich Meals on Muscle Health of Older Adults Are Linked to Gut Microbiome Modifications.Journal of cachexia, sarcopenia and muscle · 2026Trial
- Links between bone fractures and the gut microbiota.Nature reviews. Endocrinology · 2026Review
- Alteration of the intestinal microbiota associated with the development of nonalcoholic steatohepatitis and sarcopenia in SHRSP5/Dmcr.Folia microbiologica · 2026Article
- A Pilot Longitudinal 16S rRNA Gene Sequencing Study Exploring the Relationship Between Gut Microbiota and Body Composition in Healthy Adults.Polish journal of microbiology · 2026Article
- Pathological changes and therapeutic strategies for sarcopenia.EFORT open reviews · 2026Review
- Micheliolide ameliorates colon cancer cachexia by modulating gut microbiota-immune signaling via Phocaeicola vulgatus enrichment.Microbiome · 2026Article
- Association between gut microbiota and sarcopenia in older adults: a cross-sectional analysis from the second wave of the Birjand Longitudinal Aging Study (BLAS).Aging clinical and experimental research · 2026Article
- The Gut-Muscle Axis in Sarcopenia: Mechanisms, Evidence Gaps and Translational Challenges.Biomedicines · 2026Review
- Association of estimated muscle mass and its changes with all-cause mortality: a Chinese population-based cohort study.BMC geriatrics · 2026Article
- The microgenderome in migraine: integrating sex hormones, microbial composition, and metabolic profiles into a sex-related framework.Frontiers in microbiology · 2026Review
- Gut microbiota orchestrates bone homeostasis: a multi-pathway network from intestine to skeleton.Frontiers in endocrinology · 2026Review
- Causal Effects of Yogurt Intake on Gut Microbiota: A European Mendelian Randomization Study.International journal of genomics · 2026Article
- Impact of dietary index for gut microbiota on muscle and bone health: A cross-sectional study.Medicine · 2025Observational
- Sex-Specific Diet-Microbiota Interactions in Ageing: Implications for Healthy Longevity.Nutrients · 2025Review
- Sarcopenia Is a Risk Factor for Postoperative Complications Among Older Adults With Inflammatory Bowel Disease.Inflammatory bowel diseases · 2025Article
- Article
- Healthy lifestyle, daytime sleepiness, and gut microbiome composition are determinants of functional strength in humans: a cross-sectional study.Scientific reports · 2025Article
- Prognostic value of sarcopenia in patients with unresectable colorectal liver metastases after drug-eluting beads transcatheter arterial chemoembolization: a single center retrospective study.Scientific reports · 2025Article
- Metagenomic Analysis Identifies Sex-Related Gut Microbial Functions and Bacterial Taxa Associated With Skeletal Muscle Mass.Journal of cachexia, sarcopenia and muscle · 2025Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA gut-muscle axis through which the microbiome influences skeletal muscle has been hypothesized. However, sex-specific association between the characteristics of gut microbiota and skeletal muscle mass has not yet been reported. Herein, we performed sex-specific analyses of faecal microbiota composition for the skeletal muscle mass in a population-based cohort.
methodsWe collected faecal samples of 1052 middle-aged participants (621 men and 431 women) who attended health screenings, and we analysed the intestinal microbiota using 16S rRNA gene sequencing. Relative muscle mass was calculated using a bioelectrical impedance analysis and presented as the skeletal muscle mass index [SMI (%) = total appendicular muscle mass (kg)/weight (kg) × 100]. We categorized the subjects into four groups by the quartile of the SMI. Association tests between gut microbiota and SMI were conducted according to the microbial diversity, taxonomic profiling and functional inference in a sex-stratified manner.
resultsThe mean age and SMI of the total participants were 44.8 years (standard deviation [SD], 8.2) and 41.4% (SD, 3.9), respectively. After adjustments for possible covariates such as age, body mass index and regular physical activity, the highest quartile (Q4) group of SMI had higher alpha diversity than the lowest quartile (Q1) group in male participants (coefficient = 10.79, P < 0.05, linear regression model), whereas there was no difference in diversity among SMI groups in females. At the species level, Haemophilus parainfluenzae (coefficient = 1.910) and Roseburia faecis (coefficient = 1.536) were more abundant in the highest SMI (Q4) group than in the lowest SMI (Q1) group in males. However, no significant taxon was observed along the SMI groups in females. The gut microbiota of the lowest SMI group (Q1) was enriched with genes involved in biosynthesis of amino acids and energy generation compared with that of the highest SMI group (Q4) in both sexes, although the significance of the inferred pathways was weak (P < 0.05 but the false discovery rate q > 0.05).
conclusionsIn this large sample of middle-aged individuals, this study highlights fundamental sex-specific differences in the microbial diversity, composition and metabolic pathways inferred from gut microbiota according to SMI. The gut microbiota may provide novel insights into the potential mechanisms underlying the sex dependence of skeletal muscle mass.
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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.