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dc.contributor.authorPekkala, Satu
dc.contributor.authorLensu, Sanna
dc.contributor.authorNokia, Miriam
dc.contributor.authorVanhatalo, Sanja
dc.contributor.authorKoch, Lauren G.
dc.contributor.authorBritton, Steven L.
dc.contributor.authorKainulainen, Heikki
dc.date.accessioned2018-01-29T09:35:08Z
dc.date.available2018-12-02T22:35:38Z
dc.date.issued2017
dc.identifier.citationPekkala, S., Lensu, S., Nokia, M., Vanhatalo, S., Koch, L. G., Britton, S. L., & Kainulainen, H. (2017). Intrinsic aerobic capacity governs the associations between gut microbiota composition and fat metabolism age-dependently in rat siblings. <i>Physiological Genomics</i>, <i>49</i>(12), 733-746. <a href="https://doi.org/10.1152/physiolgenomics.00081.2017" target="_blank">https://doi.org/10.1152/physiolgenomics.00081.2017</a>
dc.identifier.otherCONVID_27294129
dc.identifier.otherTUTKAID_75383
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/56935
dc.description.abstractHost genetic factors affecting the gut microbiome play an important role in obesity, yet limited attention has been paid on the host genetic factors linked to physical fitness in modifying the microbiome. This study determined whether sibling-matched pairs of rats selectively bred for high (HCR) and low (LCR) aerobic capacity differ in their microbiome age-dependently and which taxa associate with differential in metabolism. Several taxa in young adult rats (hereafter young) linked to inherited aerobic capacity, while in older adult (hereafter old) rats most of the differences between the lines associated with body weight. Despite the absence of weight differential between LCR and HCR when young, the LCR microbiome contained more Actinobacteria, Veillonellaceae, Coriobacteriaceae, Phascolarctobacterium, and Ruminococcus; taxa previously linked to obesity. This raises the question whether the microbiome contributes to the later development of obesity in LCR. Age-related differences were detected in almost all taxa in both rat lines. The young HCR measured higher for serum glycerol and free fatty-acids and lower for cholesterol, HDL, LDL, and triglycerides than LCR. The old HCR differed from the old LCR by lower LDL. Several metabolites, including LDL, are associated age and genetic background-dependently with the microbiome, which might explain the metabolic differences between the lines. While old lines did not differ in visceral adipose tissue gene expression, the young HCR expressed more inflammatory genes than LCR, and several taxa including Proteobacteria associated with these genes. In conclusion, intrinsic aerobic capacity governs the microbiome, which may influence body weight, metabolism, and gene expression.
dc.language.isoeng
dc.publisherAmerican Physiological Society
dc.relation.ispartofseriesPhysiological Genomics
dc.subject.othergut microbiota
dc.titleIntrinsic aerobic capacity governs the associations between gut microbiota composition and fat metabolism age-dependently in rat siblings
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201801291353
dc.contributor.laitosLiikuntatieteellinen tiedekuntafi
dc.contributor.laitosPsykologian laitosfi
dc.contributor.laitosFaculty of Sport and Health Sciencesen
dc.contributor.laitosDepartment of Psychologyen
dc.contributor.oppiainePsykologiafi
dc.contributor.oppiaineLiikuntafysiologiafi
dc.contributor.oppiaineMonitieteinen aivotutkimuskeskusfi
dc.contributor.oppiainePsychologyen
dc.contributor.oppiaineExercise Physiologyen
dc.contributor.oppiaineCentre for Interdisciplinary Brain Researchen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.date.updated2018-01-29T07:15:08Z
dc.type.coarjournal article
dc.description.reviewstatuspeerReviewed
dc.format.pagerange733-746
dc.relation.issn1094-8341
dc.relation.numberinseries12
dc.relation.volume49
dc.type.versionacceptedVersion
dc.rights.copyright© 2017 the American Physiological Society. This is a final draft version of an article whose final and definitive form has been published by the American Physiological Society. Published in this repository with the kind permission of the publisher.
dc.rights.accesslevelopenAccessfi
dc.relation.grantnumber274098
dc.relation.grantnumber267719
dc.subject.ysosuolisto
dc.subject.ysogeeniekspressio
dc.subject.ysoaerobinen suorituskyky
dc.subject.ysorasva-arvot
dc.subject.ysoaineenvaihdunta
dc.subject.ysomikrobisto
dc.subject.ysorasva-aineenvaihdunta
jyx.subject.urihttp://www.yso.fi/onto/yso/p10317
jyx.subject.urihttp://www.yso.fi/onto/yso/p25831
jyx.subject.urihttp://www.yso.fi/onto/yso/p24946
jyx.subject.urihttp://www.yso.fi/onto/yso/p25711
jyx.subject.urihttp://www.yso.fi/onto/yso/p3066
jyx.subject.urihttp://www.yso.fi/onto/yso/p27039
jyx.subject.urihttp://www.yso.fi/onto/yso/p38464
dc.relation.doi10.1152/physiolgenomics.00081.2017
dc.relation.funderSuomen Akatemiafi
dc.relation.funderSuomen Akatemiafi
dc.relation.funderAcademy of Finlanden
dc.relation.funderAcademy of Finlanden
jyx.fundingprogramAkatemiaohjelma, SAfi
jyx.fundingprogramTutkijatohtori, SAfi
jyx.fundingprogramAcademy Programme, AoFen
jyx.fundingprogramPostdoctoral Researcher, AoFen
jyx.fundinginformationThe study was financially supported by Academy of Finland Grant ID 274098 (to H. Kainulainen) and Grant ID 267719 (to S. Pekkala). The LCR-HCR rat model system was funded by National Institutes of Health Office of Research Infrastructure Programs Grant P40OD-021331 (to L. G. Koch and S. L. Britton).


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