Exercise Is More Effective at Altering Gut Microbial Composition and Producing Stable Changes in Lean Mass in Juvenile versus Adult Male F344 Rats
Open accessAbstract
The mammalian intestine harbors a complex microbial ecosystem that influences many aspects of host physiology. Exposure to specific microbes early in development affects host metabolism, immune function, and behavior across the lifespan. Just as the physiology of the developing organism undergoes a period of plasticity, the developing microbial ecosystem is characterized by instability and may also be more sensitive to change. Early life thus presents a window of opportunity for manipulations that produce adaptive changes in microbial composition. Recent insights have revealed that increasing physical activity can increase the abundance of beneficial microbial species. We therefore investigated whether six weeks of wheel running initiated in the juvenile period (postnatal day 24) would produce more robust and stable changes in microbial communities versus exercise initiated in adulthood (postnatal day 70) in male F344 rats. 16S rRNA gene sequencing was used to characterize the microbial composition of juvenile versus adult runners and their sedentary counterparts across multiple time points during exercise and following exercise cessation. Alpha diversity measures revealed that the microbial communities of young runners were less even and diverse, a community structure that reflects volatility and malleability. Juvenile onset exercise altered several phyla and, notably, increased Bacteroidetes and decreased Firmicutes, a configuration associated with leanness. At the genus level of taxonomy, exercise altered more genera in juveniles than in the adults and produced patterns associated with adaptive metabolic consequences. Given the potential of these changes to contribute to a lean phenotype, we examined body composition in juvenile versus adult runners. Interestingly, exercise produced persistent increases in lean body mass in juvenile but not adult runners. Taken together, these results indicate that the impact of exercise on gut microbiota composition as well as body composition may depend on the developmental stage during which exercise is initiated.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Exercise induces more effective changes in the microbiota in juvenile rats than in adult rats.
“Finally, it has been observed that exercise induces more effective changes in the microbiota in juvenile rats than in adult rats [90].”
From The athletic gut microbiota (2020) · cites this paper as [90]
Moderate levels of exercise are beneficial in reducing levels of stress and building immunity along with positive changes in energy homeostasis and regulation.
“Moderate levels of exercise are particularly beneficial in reducing levels of stress and building immunity along with positive changes in energy homeostasis and regulation (Bermon et al., 2015;Mika et al., 2015).”
From The Microbiota-Gut-Brain Axis (2019) · cites this paper as Mika et al., 2015
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 80 · Cited by 197
- Authors
- Mika, A., Van Treuren, W., González, A., Herrera, J. J., Knight, R., & Fleshner, M.
- Affiliations
- University of Colorado Boulder (US)
- University of California San Diego (US)
- Corresponding author
- Fleshner, Monika
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2015-05-27
- Volume
- 10
- Issue
- 5
- Pages
- e0125889
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC4446322
- OpenAlex
- W396925535
- Cited by
- 197
- References
- 80
- Citations by year
- 2026: 6 · 2025: 11 · 2024: 14 · 2023: 20 · 2022: 24 · 2021: 24 · 2020: 23 · 2019: 23 · 2018: 13 · 2017: 19 · 2016: 15 · 2015: 4
- FWCI
- 7.39
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS ONE (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- CU Scholar (University of Colorado Boulder) (submittedVersion, cc-by)
- CU Scholar (University of Colorado Boulder) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- University of Alabama at Birmingham (P30DK056336)
- University of Alabama (P30DK079626, P30DK056336)
- National Institutes of Health (R01-MH068283)
- National Institute of Mental Health (R01MH068283)
- National Institute of Diabetes and Digestive and Kidney Diseases (P30DK056336, P30DK079626)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
- Health Sciences › Medicine › Gastroenterology › Gastrointestinal motility and disorders
- Keywords
- physical activity, gut microbiota, microbial community stability, wheel running, lean body mass, body composition, Bacteroidetes, Firmicutes, alpha diversity, developmental plasticity, F344 rats
- MeSH terms
- Animals, Body Composition, Male, Physical Conditioning, Animal, Rats, Inbred F344, RNA, Ribosomal, 16S, Gastrointestinal Tract, Rats
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review