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Sökning: onr:"swepub:oai:lup.lub.lu.se:756b3155-c9a3-4608-9909-87fce930e342" > Characterisation of...

LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00004186naa a2200457 4500
001oai:lup.lub.lu.se:756b3155-c9a3-4608-9909-87fce930e342
003SwePub
008230815s2023 | |||||||||||000 ||eng|
024a https://lup.lub.lu.se/record/756b3155-c9a3-4608-9909-87fce930e3422 URI
024a https://doi.org/10.3390/nu151126382 DOI
040 a (SwePub)lu
041 a engb eng
042 9 SwePub
072 7a art2 swepub-publicationtype
072 7a ref2 swepub-contenttype
100a Bermingham, Kate M.u King's College London4 aut
2451 0a Characterisation of Fasting and Postprandial NMR Metabolites : Insights from the ZOE PREDICT 1 Study
264 1c 2023
520 a Background: Postprandial metabolomic profiles and their inter-individual variability are not well characterised. Here, we describe postprandial metabolite changes, their correlations with fasting values and their inter- and intra-individual variability, following a standardised meal in the ZOE PREDICT 1 cohort. Methods: In the ZOE PREDICT 1 study (n = 1002 (NCT03479866)), 250 metabolites, mainly lipids, were measured by a Nightingale NMR panel in fasting and postprandial (4 and 6 h after a 3.7 MJ mixed nutrient meal, with a second 2.2 MJ mixed nutrient meal at 4 h) serum samples. For each metabolite, inter- and intra-individual variability over time was evaluated using linear mixed modelling and intraclass correlation coefficients (ICC) were calculated. Results: Postprandially, 85% (of 250 metabolites) significantly changed from fasting at 6 h (47% increased, 53% decreased; Kruskal–Wallis), with 37 measures increasing by >25% and 14 increasing by >50%. The largest changes were observed in very large lipoprotein particles and ketone bodies. Seventy-one percent of circulating metabolites were strongly correlated (Spearman’s rho >0.80) between fasting and postprandial timepoints, and 5% were weakly correlated (rho <0.50). The median ICC of the 250 metabolites was 0.91 (range 0.08–0.99). The lowest ICCs (ICC <0.40, 4% of measures) were found for glucose, pyruvate, ketone bodies (β-hydroxybutyrate, acetoacetate, acetate) and lactate. Conclusions: In this large-scale postprandial metabolomic study, circulating metabolites were highly variable between individuals following sequential mixed meals. Findings suggest that a meal challenge may yield postprandial responses divergent from fasting measures, specifically for glycolysis, essential amino acid, ketone body and lipoprotein size metabolites.
650 7a MEDICIN OCH HÄLSOVETENSKAPx Hälsovetenskapx Näringslära0 (SwePub)303042 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Health Sciencesx Nutrition and Dietetics0 (SwePub)303042 hsv//eng
653 a lipids
653 a lipoproteins
653 a nuclear magnetic resonance (NMR)
700a Mazidi, Mohsenu University of Oxford,King's College London4 aut
700a Franks, Paul W.u Lund University,Lunds universitet,Genetisk och molekylär epidemiologi,Forskargrupper vid Lunds universitet,Genetic and Molecular Epidemiology,Lund University Research Groups,Harvard University4 aut0 (Swepub:lu)med-plf
700a Maher, Tyleru King's College London4 aut
700a Valdes, Ana M.u University of Nottingham4 aut
700a Linenberg, Inbaru King's College London4 aut
700a Wolf, Jonathan4 aut
700a Hadjigeorgiou, George4 aut
700a Spector, Tim D.u King's College London4 aut
700a Menni, Cristinau King's College London4 aut
700a Ordovas, Jose M.u CIBER de Fisiopatología Obesidad y Nutricion (CIBEROBN),Madrid Institute For Advanced Studies (IMDEA) Food Institute,Jean Mayer USDA Human Nutrition Research Center on Aging4 aut
700a Berry, Sarah E.u King's College London4 aut
700a Hall, Wendy L.u King's College London4 aut
710a King's College Londonb University of Oxford4 org
773t Nutrientsg 15:11q 15:11x 2072-6643
856u http://dx.doi.org/10.3390/nu15112638x freey FULLTEXT
8564 8u https://lup.lub.lu.se/record/756b3155-c9a3-4608-9909-87fce930e342
8564 8u https://doi.org/10.3390/nu15112638

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