ArticleFrontiers in physiology2024
The impact of exercise on the gut microbiota in middle-aged amateur serious runners: a comparative study.
Article in Frontiers in physiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Protein yogurt and whey protein produce comparable muscle gains, but divergent microbiome shifts during strength training in older adults.Scientific reports · 2026Trial
- Regulation of the gut microbiota through meditation and exercise: Potential for enhancing physical well-being across all ages in the twenty-first century.Sports medicine and health science · 2026Article
- Gut microbiota composition correlates with PBMC microRNA expression following maximal exercise testing in endurance athletes.Frontiers in microbiomes · 2026Article
- Functional signatures of the gut microbiome in middle-aged regular runners: insights from a metagenomic study.Frontiers in physiology · 2026Article
- Exercise prescription for mood and cognition: targeting the microbiota-gut-brain axis through short-chain fatty acids.Frontiers in microbiology · 2026Review
- Association of Gut Microbiota With Performance Level Among Iranian Professional and Semi-Professional Runners: A Cross-Sectional Study.Health science reports · 2025Article
- Dynamic alterations in bacterial and fungal microbiome and inflammatory cytokines following SRV-8 infection in cynomolgus monkeys.Zoological research · 2025Article
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Authors and funding
12 authors.
Funding
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Abstract
Introduction: Exercise, health, and the gut microbiota (GM) are strongly correlated. Research indicates that professional athletes, especially ultra-marathon runners, have unique GM characteristics. However, more research has focused on elite athletes, with little attention given to amateur sports enthusiasts, especially those in the middle-aged population. Therefore, this study focuses on the impact of long-term running on the composition and potential functions of the GM in middle-aged individuals. Methods: We compared the GM of 25 middle-aged serious runnerswith 22 sedentary healthy controls who had minimal exercise habitsusing 16S rRNA gene sequencing. Additionally, we assessed dietary habits using a food frequency questionnaire. Results and Discussion: Statistical analysis indicates that there is no significant difference in dietary patterns between the control group and serious runners. Diversity analysis results indicate that there is no significant difference in α diversity between the two groups of GM, but there is a significant difference in β diversity. Analysis of the composition of GM reveals that
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