# Meeting WHO physical activity standards may promote greater gut microbiota diversity and preservation of Ruminococcus in community-dwelling older women

**Authors:** Mitsuru Shibata, Etsuko Muraki, Satoko Nezu, Katsuya Fujii, Satoshi Nobusako, Kayoko Maehara, Yumi Nakaya

PMC · DOI: 10.1265/ehpm.25-00335 · 2026-02-14

## TL;DR

Meeting WHO physical activity guidelines may help older women maintain a diverse gut microbiome and preserve beneficial bacteria like Ruminococcus.

## Contribution

This study explores the link between physical activity and gut microbiota in older women, focusing on microbial diversity and Ruminococcus abundance.

## Key findings

- Women not meeting WHO activity guidelines had lower gut microbial diversity and distinct community structures.
- The less active group showed reduced relative abundance of Ruminococcus, a short-chain fatty acid–producing genus.
- Physical activity was associated with gut microbiota composition and diversity in older women.

## Abstract

Gut microbiota plays a crucial role not only in digestion but also in systemic physiological functions, including immune and neural regulation. High microbial diversity contributes to intestinal homeostasis, whereas reduced diversity has been associated with various diseases. Physical activity is reported to influence both the composition and function of gut microbiota; however, the impact of daily physical activity on gut microbiota in older adults remains poorly understood. This study exploratorily investigated the association between objectively measured daily physical activity and gut microbial diversity and composition in older women who are at increased risk of reduced physical activity and gut microbial dysbiosis.

A cross-sectional study assessed daily physical activity using an accelerometer-based activity monitor in 73 community-dwelling older women. We classified participants as meeting (n = 56) or not meeting (n = 17) the World Health Organization (WHO) physical activity guidelines. Fecal samples were collected and analyzed using 16S rRNA sequencing to evaluate gut microbial diversity and composition.

Participants not meeting the WHO activity guidelines exhibited lower gut microbial diversity (Observed Features: 134 ± 23 vs. 161 ± 45, Chao1 index: 137 ± 24 vs. 167 ± 49, all p < 0.05) and distinct microbial community structures (weighted UniFrac distances, PERMANOVA, p < 0.05) as compared with those meeting the guidelines. In particular, the relative abundance of short-chain fatty acid–producing Ruminococcus was reduced in the less active group.

Habitual daily physical activity was associated with gut microbiota diversity and composition in older women in this exploratory study. In particular, the relative abundance of Ruminococcus may reflect differences in gut microbial function. Future longitudinal and interventional studies are needed to further clarify causal relationships and support the development of personalized strategies to promote gut health and healthy aging.

## Linked entities

- **Species:** Ruminococcus (taxon 1263)

## Full-text entities

- **Genes:** INS (insulin) [NCBI Gene 3630] {aka IDDM, IDDM1, IDDM2, ILPR, IRDN, MODY10}, PEMT (phosphatidylethanolamine N-methyltransferase) [NCBI Gene 10400] {aka PEAMT, PEMPT, PEMT2, PLMT}, IL10 (interleukin 10) [NCBI Gene 3586] {aka CSIF, GVHDS, IL-10, IL10A, TGIF}, SIRT1 (sirtuin 1) [NCBI Gene 23411] {aka SIR2, SIR2L1, SIR2alpha}, LPA (lipoprotein(a)) [NCBI Gene 4018] {aka AK38, APOA, LP}, IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}, FNDC5 (fibronectin type III domain containing 5) [NCBI Gene 252995] {aka FRCP2, irisin}
- **Diseases:** neuropsychiatric disorders (MESH:D001523), diabetes (MESH:D003920), gut microbial dysbiosis (MESH:D064806), Sarcopenia (MESH:D055948), inflammation (MESH:D007249), physical (MESH:D059445), Parkinson's disease (MESH:D010300), mitochondrial structural defects (MESH:C566527), obesity (MESH:D009765), musculoskeletal pain (MESH:D059352), infection (MESH:D007239), gastrointestinal diseases (MESH:D005767), age-related muscle decline (MESH:D010024), lipid metabolic abnormalities (MESH:D052439), depression (MESH:D003866), inflammatory bowel disease (MESH:D015212)
- **Chemicals:** Vitamin K2 (MESH:D024482), glycerophospholipid (MESH:D020404), fiber (MESH:D004043), ceramides (MESH:D002518), glycyrrhizin (MESH:D019695), glucosylceramides (MESH:D005963), butyrate (MESH:D002087), vitamin K. (MESH:D014812), starch (MESH:D013213), phosphatidylcholine (MESH:D010713), carbohydrates (MESH:D002241), glycyrrhetinic acid (MESH:D006034), acetate (MESH:D000085), beta-lactam (MESH:D047090), SCFA (MESH:D005232), Butyric acid (MESH:D020148), Lipids (MESH:D008055)
- **Species:** Mediterraneibacter gnavus (species) [taxon 33038], Faecalibacterium (genus) [taxon 216851], Clostridium perfringens (species) [taxon 1502], Roseburia (genus) [taxon 841], Ruminococcus (genus) [taxon 1263], Mediterraneibacter glycyrrhizinilyticus (species) [taxon 342942], Vibrio cholerae (species) [taxon 666], Homo sapiens (human, species) [taxon 9606], gut metagenome (species) [taxon 749906], Blautia glucerasea (species) [taxon 536633]

## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12909087/full.md

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Source: https://tomesphere.com/paper/PMC12909087