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

Bermingham, Kate M. (author)
King's College London
Mazidi, Mohsen (author)
King's College London,University of Oxford
Franks, Paul W. (author)
Lund University,Lunds universitet,Genetisk och molekylär epidemiologi,Forskargrupper vid Lunds universitet,Genetic and Molecular Epidemiology,Lund University Research Groups,Harvard University
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Maher, Tyler (author)
King's College London
Valdes, Ana M. (author)
University of Nottingham
Linenberg, Inbar (author)
King's College London
Wolf, Jonathan (author)
Hadjigeorgiou, George (author)
Spector, Tim D. (author)
King's College London
Menni, Cristina (author)
King's College London
Ordovas, Jose M. (author)
CIBER de Fisiopatología Obesidad y Nutricion (CIBEROBN),Madrid Institute For Advanced Studies (IMDEA) Food Institute,Jean Mayer USDA Human Nutrition Research Center on Aging
Berry, Sarah E. (author)
King's College London
Hall, Wendy L. (author)
King's College London
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 (creator_code:org_t)
2023
2023
English.
In: Nutrients. - 2072-6643. ; 15:11
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • 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.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Hälsovetenskap -- Näringslära (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Health Sciences -- Nutrition and Dietetics (hsv//eng)

Keyword

lipids
lipoproteins
nuclear magnetic resonance (NMR)

Publication and Content Type

art (subject category)
ref (subject category)

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