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dc.contributor.authorPérez-Prieto, Inmaculada
dc.contributor.authorPlaza-Florido, Abel
dc.contributor.authorUbago-Guisado, Esther
dc.contributor.authorOrtega, Francisco, B.
dc.contributor.authorAltmäe, Signe
dc.date.accessioned2024-11-13T09:13:59Z
dc.date.available2024-11-13T09:13:59Z
dc.date.issued2024
dc.identifier.citationPérez-Prieto, I., Plaza-Florido, A., Ubago-Guisado, E., Ortega, F., & Altmäe, S. (2024). Physical activity, sedentary behavior and microbiome : A systematic review and meta-analysis. <i>Journal of Science and Medicine in Sport</i>, <i>37</i>(11), 793-804. <a href="https://doi.org/10.1016/j.jsams.2024.07.003" target="_blank">https://doi.org/10.1016/j.jsams.2024.07.003</a>
dc.identifier.otherCONVID_233307562
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/98381
dc.description.abstractBackground The effects of physical activity and sedentary behavior on human health are well known, however, the molecular mechanisms are poorly understood. Growing evidence points to physical activity as an important modulator of the composition and function of microbial communities, while evidence of sedentary behavior is scarce. We aimed to synthesize and meta-analyze the current evidence about the effects of physical activity and sedentary behavior on microbiome across different body sites and in different populations. Methods A systematic search in PubMed, Web of Science, Scopus and Cochrane databases was conducted until September 2022. Random-effects meta-analyses including cross-sectional studies (active vs. inactive/athletes vs. non-athletes) or trials reporting the chronic effect of physical activity interventions on gut microbiome alpha-diversity in healthy individuals were performed. Results Ninety-one studies were included in this systematic review. Our meta-analyses of 2632 participants indicated no consistent effect of physical activity on microbial alpha-diversity, although there seems to be a trend toward a higher microbial richness in athletes compared to non-athletes. Most of studies reported an increase in short-chain fatty acid-producing bacteria such as Akkermansia, Faecalibacterium, Veillonella or Roseburia in active individuals and after physical activity interventions. Conclusions Physical activity levels were positively associated with the relative abundance of short-chain fatty acid-producing bacteria. Athletes seem to have a richer microbiome compared to non-athletes. However, high heterogeneity between studies avoids obtaining conclusive information on the role of physical activity in microbial composition. Future multi-omics studies would enhance our understanding of the molecular effects of physical activity and sedentary behavior on the microbiome.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofseriesJournal of Science and Medicine in Sport
dc.rightsCC BY-NC-ND 4.0
dc.subject.otherexercise
dc.subject.othermicrobiota
dc.subject.otheromics
dc.subject.other16S rRNA gene sequencing
dc.subject.othermetagenomics
dc.titlePhysical activity, sedentary behavior and microbiome : A systematic review and meta-analysis
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202411137225
dc.contributor.laitosLiikuntatieteellinen tiedekuntafi
dc.contributor.laitosFaculty of Sport and Health Sciencesen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_dcae04bc
dc.description.reviewstatuspeerReviewed
dc.format.pagerange793-804
dc.relation.issn1440-2440
dc.relation.numberinseries11
dc.relation.volume37
dc.type.versionpublishedVersion
dc.rights.copyright© 2024 The Authors. Published by Elsevier Ltd on behalf of Sports Medicine Australia
dc.rights.accesslevelopenAccessfi
dc.subject.ysofyysinen aktiivisuus
dc.subject.ysomikrobisto
dc.subject.ysosystemaattiset kirjallisuuskatsaukset
dc.subject.ysosekvensointi
dc.subject.ysomolekyyligenetiikka
dc.subject.ysoharjoittelu
dc.subject.ysojoutilaisuus
dc.subject.ysometagenomiikka
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p23102
jyx.subject.urihttp://www.yso.fi/onto/yso/p27039
jyx.subject.urihttp://www.yso.fi/onto/yso/p29683
jyx.subject.urihttp://www.yso.fi/onto/yso/p25917
jyx.subject.urihttp://www.yso.fi/onto/yso/p17899
jyx.subject.urihttp://www.yso.fi/onto/yso/p26412
jyx.subject.urihttp://www.yso.fi/onto/yso/p8123
jyx.subject.urihttp://www.yso.fi/onto/yso/p40119
dc.rights.urlhttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.relation.doi10.1016/j.jsams.2024.07.003
jyx.fundinginformationThis work was supported by the projects Endo-Map PID2021-127280OB-I00, PID2020-120249RB-100 and ROSY CNS2022-135999 funded by MICIU/AEI/10.13039/501100011033 and by FEDER, EU; Project P20_00124 funded by Junta de Andalucía; Unidad de excelencia SOMM17/6107/UGR funded by Plan Propio de Investigación/Universidad de Granada; E.U.G and I.P.P are supported by grants RYC2022-038011-I and FPU19/05561 funded by MCIN/AEI/10.13039/501100011033 and FSE “El FSE invierte en tu futuro”. A.P.F contribution was funded in part by NIH grant #: U01 TR002004 (REACH project). E.U.G is supported by the María Zambrano fellowship by the Ministerio de Universidades and the Unión Europea–NextGenerationEU. Funding for open access charge: Universidad de Granada / CBUA.
dc.type.okmA2


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