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  • Bermingham, Kate M.King's College London (author)

Characterisation of Fasting and Postprandial NMR Metabolites : Insights from the ZOE PREDICT 1 Study

  • Article/chapterEnglish2023

Publisher, publication year, extent ...

  • 2023

Numbers

  • LIBRIS-ID:oai:lup.lub.lu.se:756b3155-c9a3-4608-9909-87fce930e342
  • https://lup.lub.lu.se/record/756b3155-c9a3-4608-9909-87fce930e342URI
  • https://doi.org/10.3390/nu15112638DOI

Supplementary language notes

  • Language:English
  • Summary in:English

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  • Subject category:art swepub-publicationtype
  • Subject category:ref swepub-contenttype

Notes

  • 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.

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  • Mazidi, MohsenKing's College London,University of Oxford (author)
  • Franks, Paul W.Lund University,Lunds universitet,Genetisk och molekylär epidemiologi,Forskargrupper vid Lunds universitet,Genetic and Molecular Epidemiology,Lund University Research Groups,Harvard University(Swepub:lu)med-plf (author)
  • Maher, TylerKing's College London (author)
  • Valdes, Ana M.University of Nottingham (author)
  • Linenberg, InbarKing's College London (author)
  • Wolf, Jonathan (author)
  • Hadjigeorgiou, George (author)
  • Spector, Tim D.King's College London (author)
  • Menni, CristinaKing's College London (author)
  • Ordovas, Jose M.CIBER de Fisiopatología Obesidad y Nutricion (CIBEROBN),Madrid Institute For Advanced Studies (IMDEA) Food Institute,Jean Mayer USDA Human Nutrition Research Center on Aging (author)
  • Berry, Sarah E.King's College London (author)
  • Hall, Wendy L.King's College London (author)
  • King's College LondonUniversity of Oxford (creator_code:org_t)

Related titles

  • In:Nutrients15:112072-6643

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