The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Four men in a boat: Ultra-endurance exercise alters the gut microbiome
Abstract
Objectives Compositional and functional adaptions occur in the gut microbiome in response to habitual physical activity. The response of the gut microbiome to sustained, intense exercise in previously active individuals, however, is unknown. This study aimed to prospectively explore the gut microbiome response of four well-trained male athletes to prolonged, high intensity trans-oceanic rowing, describing changes in microbial diversity, abundance and metabolic capacity.Design A prospective, repeated-measures, within-subject report.Methods Serial stool samples were obtained from four male athletes for metagenomic whole-genome shotgun sequencing to record microbial community structure and relevant functional gene profiles before, during and after a continuous, unsupported 33-day, 5000 km transoceanic rowing race. Calorific intake and macronutrient composition were recorded by validated food frequency questionnaire and anthropometry was determined by body composition analysis and cardiorespiratory testing.Results Microbial diversity increased throughout the ultra-endurance event. Variations in taxonomic composition included increased abundance of butyrate producing species and species associated with improved metabolic health, including improved insulin sensitivity. The functional potential of bacterial species involved in specific amino and fatty acid biosynthesis also increased. Many of the adaptions in microbial community structure and metaproteomics persisted at three months follow up.Conclusions These findings demonstrate that prolonged, intense exercise positively influences gut microbial diversity, increases the relative abundance of some bacterial species and up-regulates the metabolic potential of specific pathways expressing microbial gene products. These adaptions may play a compensatory role in controlling the physiological stress associated with sustained exertion as well as negating the deleterious consequences accompanying endurance exercise.
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“Alpha diversity increased throughout the ultra-endurance event and was evident as early as day 17 in the race.”
From The athletic gut microbiota (2020) · cites this paper as [99]
In the citing paper
“Variations in taxonomic composition included increased abundance of butyrate producing species and species associated with improved metabolic health and improved insulin sensitivity.”
From The athletic gut microbiota (2020) · cites this paper as [99]
In the citing paper
“This increase occurred independent of any change in cardiorespiratory fitness, with VO2max similar pre- and post-race.”
From The athletic gut microbiota (2020) · cites this paper as [99]
In the citing paper
“the gene expression of functional metabolic pathways involved in L-isoleucine and L-lysine production increased”
From The athletic gut microbiota (2020) · cites this paper as [99]
In the citing paper
“Many of the adaptations in microbial community structure and metaproteomics persisted at 3 months follow up.”
From The athletic gut microbiota (2020) · cites this paper as [99]
In the citing paper
“The functional potential of bacterial species involved in specific amino and fatty acid biosynthesis also increased.”
From The athletic gut microbiota (2020) · cites this paper as [99]
Citations
Cites
Reproducibility and validity of a semiquantitative food frequency questionnaire
WILLETT, W. C., SAMPSON, L., STAMPFER, M. J., ROSNER, B., BAIN, C., WITSCHI, J., HENNEKENS, C. H., & SPEIZER, F. E. (1985) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a114086 · Cited by 4,274
Fast and sensitive taxonomic classification for metagenomics with Kaiju
Menzel, P., Ng, K. L., & Krogh, A. (2016) · Nature Communications · doi:10.1038/ncomms11257 · Cited by 2,101
Metagenomic microbial community profiling using unique clade-specific marker genes
Segata, N., Waldron, L., Ballarini, A., Narasimhan, V., Jousson, O., & Huttenhower, C. (2012) · Nature Methods · doi:10.1038/nmeth.2066 · Cited by 1,776
Exercise and associated dietary extremes impact on gut microbial diversity
Clarke, S. F., Murphy, E. F., O'Sullivan, O., Lucey, A. J., Humphreys, M., Hogan, A., Hayes, P., O'Reilly, M., Jeffery, I. B., Wood-Martin, R., et al. (2014) · Gut · doi:10.1136/gutjnl-2013-306541 · Cited by 1,439
Self-citationHigh-Throughput Sequencing Technologies
Reuter, J., Spacek, D. V., & Snyder, M. P. (2015) · Molecular Cell · doi:10.1016/j.molcel.2015.05.004 · Cited by 1,401
Potential beneficial effects of butyrate in intestinal and extraintestinal diseases
Canani, R. B. (2011) · World Journal of Gastroenterology · doi:10.3748/wjg.v17.i12.1519 · Cited by 1,381
Metabolic Reconstruction for Metagenomic Data and Its Application to the Human Microbiome
Abubucker, S., Segata, N., Goll, J. B., Schubert, A. M., Izard, J., Cantarel, B. L., Rodriguez-Mueller, B., Zucker, J., Thiagarajan, M., Henrissat, B., et al. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002358 · Cited by 1,076
Antibiotics and the Human Gut Microbiome: Dysbioses and Accumulation of Resistances
Francino, M. P. (2016) · Frontiers in Microbiology · doi:10.3389/fmicb.2015.01543 · Cited by 990
Barton, W., Penney, N. C., Cronin, O., Garcia-Perez, I., Molloy, M. G., Holmes, E., Shanahan, F., Cotter, P. D., & O'Sullivan, O. (2018) · Gut · doi:10.1136/gutjnl-2016-313627 · Cited by 647
Self-citationStandards for Ethics in Sport and Exercise Science Research: 2018 Update
Harriss, D., MacSween, A., & Atkinson, G. (2017) · International Journal of Sports Medicine · doi:10.1055/s-0043-124001 · Cited by 516
Research works printed but not linked: 1
- Siriwattananon, 2016, Effect of drying methods on dietary fibre content in dried fruit and vegetable from non-toxic agricultural field, Int J Geomate, 11, 2896
Cited by
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Mohr, A. E., Jäger, R., Carpenter, K. C., Kerksick, C. M., Purpura, M., Townsend, J. R., West, N. P., Black, K., Gleeson, M., Pyne, D. B., et al. (2020) · Journal of the International Society of Sports Nutrition · doi:10.1186/s12970-020-00353-w · Cited by 378
“Barton et al., 2018, Ireland [13] Professional male rugby players, n = 40, 29 ± 4 years; Healthy matched controls, n = 46, 29 ± 6 years Cross-sectional Metagenomic whole genome shotgun sequencing and urine and fecal metabolomics Observational Crosssectional • Relative increase in pathways (amino acid and antibiotic bi…”
BackgroundInfluentialInterplay Between Exercise and Gut Microbiome in the Context of Human Health and Performance
Clauss, M., Gérard, P., Mosca, A., & Leclerc, M. (2021) · Frontiers in Nutrition · doi:10.3389/fnut.2021.637010 · Cited by 307
Wegierska, A. E., Charitos, I. A., Topi, S., Potenza, M. A., Montagnani, M., & Santacroce, L. (2022) · Sports Medicine · doi:10.1007/s40279-022-01696-x · Cited by 249
How Diet and Physical Activity Modulate Gut Microbiota: Evidence, and Perspectives
Campaniello, D., Corbo, M. R., Sinigaglia, M., Speranza, B., Racioppo, A., Altieri, C., & Bevilacqua, A. (2022) · Nutrients · doi:10.3390/nu14122456 · Cited by 178
Gut Microbiota, Probiotics and Physical Performance in Athletes and Physically Active Individuals
Marttinen, M., Ala‐Jaakkola, R., Laitila, A., & Lehtinen, M. J. (2020) · Nutrients · doi:10.3390/nu12102936 · Cited by 186
Metadata
- Authors
- Keohane, D. M., Woods, T., O’Connor, P., Underwood, S., Cronin, O., Whiston, R., O'Sullivan, O., Cotter, P., Shanahan, F., & Molloy, M. G. M.
- Affiliations
- University College Cork (IE)
- Teagasc - The Irish Agriculture and Food Development Authority (IE)
- Corresponding author
- Keohane, David M.
- ORCID
- Venue
- Journal of Science and Medicine in Sport
- Publisher
- Elsevier BV
- Published
- 2019-09
- Volume
- 22
- Issue
- 9
- Pages
- 1059-1064
- ISSN
- 1440-2440 (ISSN-L)
- OpenAlex
- W2939552995
- Cited by
- 113
- References
- 25
- Citations by year
- 2026: 10 · 2025: 15 · 2024: 18 · 2023: 13 · 2022: 28 · 2021: 14 · 2020: 12 · 2019: 3
- FWCI
- 4.72
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of science and medicine in sport (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Irish Centre for Arthritic Research and Education
- Science Foundation Ireland (SFI/12/RC/2273)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Life Sciences › Agricultural and Biological Sciences › Food Science › Probiotics and Fermented Foods
- Health Sciences › Medicine › Gastroenterology › Gastrointestinal motility and disorders
- Keywords
- gut microbiota, ultra-endurance exercise, athletes, microbial diversity, butyrate-producing bacteria, insulin sensitivity, amino acid biosynthesis, fatty acid synthesis, exercise adaptation, metagenomics, metaproteomics
- MeSH terms
- Gastrointestinal Microbiome, Water Sports, Adult, Bacteria, Feces, Humans, Male, Physical Endurance, Prospective Studies, Biodiversity, Athletes
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