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dc.contributor.authorFurse, Samuel
dc.contributor.authorWatkins, Adam J
dc.contributor.authorWilliams, Huw EL
dc.contributor.authorSnowden, Stuart G
dc.contributor.authorChiarugi, Davide
dc.contributor.authorKoulman, Albert
dc.date.accessioned2022-02-28T17:00:44Z
dc.date.available2022-02-28T17:00:44Z
dc.date.issued2022-02-10
dc.date.submitted2021-08-16
dc.identifier.issn1573-3882
dc.identifier.others11306-022-01869-9
dc.identifier.other1869
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/334513
dc.description.abstractBACKGROUND: The paternal diet affects lipid metabolism in offspring for at least two generations through nutritional programming. However, we do not know how this is propagated to the offspring. OBJECTIVES: We tested the hypothesis that the changes in lipid metabolism that are driven by paternal diet are propagated through spermatozoa and not seminal plasma. METHODS: We applied an updated, purpose-built computational network analysis tool to characterise control of lipid metabolism systemically (Lipid Traffic Analysis v2.3) on a known mouse model of paternal nutritional programming. RESULTS: The analysis showed that the two possible routes for programming effects, the sperm (genes) and seminal plasma (influence on the uterine environment), both have a distinct effect on the offspring's lipid metabolism. Further, the programming effects in offspring suggest that changes in lipid distribution are more important than alterations in lipid biosynthesis. CONCLUSIONS: These results show how the uterine environment and genes both affect lipid metabolism in offspring, enhancing our understanding of the link between parental diet and metabolism in offspring.
dc.description.sponsorshipBBSRC (BB/M027252/1)
dc.languageen
dc.publisherSpringer
dc.subjectOriginal Article
dc.subjectNutritional programming
dc.subjectLipid metabolism
dc.subjectLipid traffic analysis
dc.titlePaternal nutritional programming of lipid metabolism is propagated through sperm and seminal plasma.
dc.typeArticle
dc.date.updated2022-02-28T17:00:44Z
prism.issueIdentifier2
prism.publicationNameMetabolomics
prism.volume18
dc.identifier.doi10.17863/CAM.81931
dcterms.dateAccepted2022-01-04
rioxxterms.versionofrecord10.1007/s11306-022-01869-9
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/
dc.contributor.orcidFurse, Samuel [0000-0003-4267-2051]
dc.contributor.orcidWatkins, Adam J [0000-0002-0842-1251]
dc.contributor.orcidWilliams, Huw EL [0000-0002-2623-6287]
dc.contributor.orcidSnowden, Stuart G [0000-0002-9419-5819]
dc.contributor.orcidChiarugi, Davide [0000-0003-2752-3189]
dc.contributor.orcidKoulman, Albert [0000-0001-9998-051X]
dc.identifier.eissn1573-3890
pubs.funder-project-idBiotechnology and Biological Sciences Research Council (BB/M027252/2)
pubs.funder-project-idBiotechnology and Biological Sciences Research Council (BB/M027252/1)


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