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Differences in gut microbiota profile between women with active lifestyle and sedentary women
Open accessAbstract
Physical exercise is a tool to prevent and treat some of the chronic diseases affecting the world's population. A mechanism through which exercise could exert beneficial effects in the body is by provoking alterations to the gut microbiota, an environmental factor that in recent years has been associated with numerous chronic diseases. Here we show that physical exercise performed by women to at least the degree recommended by the World Health Organization can modify the composition of gut microbiota. Using high-throughput sequencing of the 16s rRNA gene, eleven genera were found to be significantly different between active and sedentary women. Quantitative PCR analysis revealed higher abundance of health-promoting bacterial species in active women, including Faecalibacterium prausnitzii, Roseburia hominis and Akkermansia muciniphila. Moreover, body fat percentage, muscular mass and physical activity significantly correlated with several bacterial populations. In summary, we provide the first demonstration of interdependence between some bacterial genera and sedentary behavior parameters, and show that not only does the dose and type of exercise influence the composition of gut microbiota, but also the breaking of sedentary behavior.
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“Cross-sectional human studies have reported that professional rugby players diverge from body mass index (BMI)-matched non-athletes in several bacterial phyla (Clarke et al., 2014), and that normal weight active women differ from sedentary women in several taxa (Bressa et al., 2017).”
From Six-Week Endurance Exercise Alters Gut Metagenome That Is not Reflected in Systemic Metabolism in Over-weight Women (2018) · cites this paper as Bressa et al., 2017
In the citing paper
“In addition, in the study of Bressa et al. the sedentary group had significantly higher body fat percentage and mass (Bressa et al., 2017), traits known to be highly associated with gut microbiota composition (Turnbaugh et al., 2009).”
From Six-Week Endurance Exercise Alters Gut Metagenome That Is not Reflected in Systemic Metabolism in Over-weight Women (2018) · cites this paper as Bressa et al., 2017
In the citing paper
“Corroborating our findings Odoribacter and unidentified Desulfovibrionaceae were lower in active women than sedentary (Bressa et al., 2017)”
From Six-Week Endurance Exercise Alters Gut Metagenome That Is not Reflected in Systemic Metabolism in Over-weight Women (2018) · cites this paper as Bressa et al., 2017
In the citing paper
“as well as between physically active and sedentary women (Bressa et al., 2017).”
From Six-Week Endurance Exercise Alters Gut Metagenome That Is not Reflected in Systemic Metabolism in Over-weight Women (2018) · cites this paper as Bressa et al., 2017
In the citing paper
“as did the active women compared to inactive (Bressa et al., 2017).”
From Six-Week Endurance Exercise Alters Gut Metagenome That Is not Reflected in Systemic Metabolism in Over-weight Women (2018) · cites this paper as Bressa et al., 2017
In the citing paper
“However, it should be noted that in both studies the active and sedentary group differed from each other in dietary intakes, especially fiber intake.”
From Six-Week Endurance Exercise Alters Gut Metagenome That Is not Reflected in Systemic Metabolism in Over-weight Women (2018) · cites this paper as Bressa et al., 2017
In the citing paper
“Similar findings were observed in a study that compared active vs sedentary women.112”
From Influence of the Gut Microbiome, Diet, and Environment on Risk of Colorectal Cancer (2020) · cites this paper as [112]
In the citing paper
“Athletes have varying gut microbiota compositions that appear to reflect the activity level of the host in comparison to sedentary people, with the differences linked primarily to the volume of exercise and amount of protein consumption.”
From International Society of Sports Nutrition Position Stand: Probiotics (2019) · cites this paper as [15]
In the citing paper
“Further, quantitative polymerase chain reaction analysis revealed higher abundance of health-promoting bacterial species in active women, including Faecalibacterium prausnitzii, Roseburia hominis and Akkermansia muciniphila.”
From The athletic gut microbiota (2020) · cites this paper as [56]
In the citing paper
“Physical exercise was not related to differences in the microbiota diversity or richness (the total number of OTUs or species recorded); however, sedentary parameters (i.e., sedentary time and breaks) correlated negatively with microbiota richness.”
From The athletic gut microbiota (2020) · cites this paper as [56]
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Cites
QIIME allows analysis of high-throughput community sequencing data
Caporaso, J. G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F. D., Costello, E. K., Fierer, N., Peña, A. G., Goodrich, J. K., Gordon, J. I., et al. (2010) · Nature Methods · doi:10.1038/nmeth.f.303 · Cited by 34,887
Klindworth, A., Pruesse, E., Schweer, T., Peplies, J., Quast, C., Horn, M., & Glöckner, F. O. (2013) · Nucleic Acids Research · doi:10.1093/nar/gks808 · Cited by 8,850
UniFrac: a New Phylogenetic Method for Comparing Microbial Communities
Lozupone, C., & Knight, R. (2005) · Applied and Environmental Microbiology · doi:10.1128/aem.71.12.8228-8235.2005 · Cited by 8,227
Enterotypes of the human gut microbiome
MetaHIT Consortium (additional members), Arumugam, M., Raes, J., Pelletier, E., Le Paslier, D., Yamada, T., Mende, D. R., Fernandes, G. R., Tap, J., Bruls, T., et al. (2011) · Nature · doi:10.1038/nature09944 · Cited by 7,548
Changes of Intestinal Functions in Liver Cirrhosis
Fukui, H., & Wiest, R. (2016) · Inflammatory Intestinal Diseases · doi:10.1159/000444436 · Cited by 6,820
Linking long-term dietary patterns with gut microbial enterotypes
Wu, G. D., Chen, J., Hoffmann, C., Bittinger, K., Chen, Y.-Y., Keilbaugh, S. A., Bewtra, M., Knights, D., Walters, W. A., Knight, R., et al. (2011) · Science · doi:10.1126/science.1208344 · Cited by 6,513
Obesity alters gut microbial ecology
Ley, R. E., Bäckhed, F., Turnbaugh, P., Lozupone, C. A., Knight, R. D., & Gordon, J. I. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504978102 · Cited by 6,176
Gut flora metabolism of phosphatidylcholine promotes cardiovascular disease
Wang, Z., Klipfell, E., Bennett, B. J., Koeth, R., Levison, B. S., DuGar, B., Feldstein, A. E., Britt, E. B., Fu, X., Chung, Y.-M., et al. (2011) · Nature · doi:10.1038/nature09922 · Cited by 5,597
A dendrite method for cluster analysis
Caliński, T., & Harabasz, J. (1974) · Communications in Statistics · doi:10.1080/03610927408827101 · Cited by 4,480
Sokol, H., Pigneur, B., Watterlot, L., Lakhdari, O., Bermúdez-Humarán, L. G., Gratadoux, J.-J., Blugeon, S., Bridonneau, C., Furet, J.-P., Corthier, G., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0804812105 · Cited by 4,413
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- M Charrad, 2014, Package ‘NbClust’, J Stat Soft, 61, 1
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Morita, H. (2025) · Japanese Journal of Lactic Acid Bacteria · doi:10.4109/jslab.36.51
Kodura, A., Mordarska, M., Piątek, P., Łozowski, J., & Białas, J. (2026) · Quality in Sport · doi:10.12775/qs.2026.77.76035
So, B., Jang, J.-H., Park, J., & Kang, C. (2026) · Sports · doi:10.3390/sports14100436
Ondrak, K. S., Seicshnaydre, E. A., Duffy, S., Rodriguez, C. L., Scott, C., Gladish, S., & Byerley, L. O. (2026) · Nutrients · doi:10.3390/nu18193300
Sage, S. A., Abbott, S. J., Korczak, R., & Williams, N. C. (2026) · Journal of the International Society of Sports Nutrition · doi:10.1080/15502783.2026.2748763
Mostafaei, F. S. G., Arki, M. K., Sadeghi, A., Moravvej, H., Hossein‐Khannazer, N., Arjmand, B., Razzaghi, Z., Bandarian, F., Razi, F., & Rezaei–Tavirani, M. (2026) · Journal of Diabetes & Metabolic Disorders · doi:10.1007/s40200-026-02102-3
Montano, A., Paolini, A., Felli, C., Bruno, S. P., Baldassarre, A., Sandal, S., & Masotti, A. (2026) · Frontiers in Sports and Active Living · doi:10.3389/fspor.2026.1940762
FAIRsharing record for: Disbiome
FAIRsharing Team, Lister, A., & Janssens, Y. (2018) · FAIRsharing.org · doi:10.25504/fairsharing.lfdtxb
Islam, M. M., Yang, G., & Kang, K. S. (2026) · Frontiers in Nutrition · doi:10.3389/fnut.2026.1839461
The role of Akkermansia muciniphila in human disease: a friend or a foe?
HUANG, C., Zhang, Y., Xie, H., & Shi, G. (2026) · Frontiers in Microbiology · doi:10.3389/fmicb.2026.1974213
Sales, K. M., Schlechte, J., Inglis, E. C., Wang, W., Cho, N. A., Lowry, D. E., MacInnis, M. J., Murias, J. M., & Reimer, R. A. (2026) · Frontiers in Microbiology · doi:10.3389/fmicb.2026.1981808
Metadata
- Authors
- Bressa, C., Bailén-Andrino, M., Pérez-Santiago, J., González-Soltero, R., Pérez, M., Montalvo-Lominchar, M. G., Maté-Muñoz, J. L., Domínguez, R., Moreno, D., & Larrosa, M.
- Affiliations
- Universidad Europea de Madrid (ES)
- Universidad Alfonso X el Sabio (ES)
- Corresponding author
- Larrosa, Mar
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2017-02-10
- Volume
- 12
- Issue
- 2
- Pages
- e0171352
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC5302835
- OpenAlex
- W2586294288
- Cited by
- 501
- References
- 75
- Citations by year
- 2026: 42 · 2025: 52 · 2024: 68 · 2023: 59 · 2022: 83 · 2021: 69 · 2020: 47 · 2019: 41 · 2018: 20 · 2017: 18
- FWCI
- 14.18
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS ONE (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Funders
- Ministerio de Ciencia e Innovación (Ramón y Cajal RyC2012_)
- Universidad Europea de Madrid (2015UEM24, 2015UEM06, ASISA_2015UEM46)
- 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, physical activity, sedentary behavior, women, Faecalibacterium prausnitzii, Roseburia hominis, Akkermansia muciniphila, body fat percentage, muscle mass, physical activity level, 16S rRNA gene sequencing, chronic disease prevention
- MeSH terms
- Eubacteriales, Gastrointestinal Microbiome, Faecalibacterium prausnitzii, Adult, Female, Humans, Exercise, Body Fat Distribution, Sedentary Behavior, Verrucomicrobia
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