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Characterisation of Fasting and Postprandial NMR Metabolites: Insights from the ZOE PREDICT 1 Study.
Bermingham, Kate M; Mazidi, Mohsen; Franks, Paul W; Maher, Tyler; Valdes, Ana M; Linenberg, Inbar; Wolf, Jonathan; Hadjigeorgiou, George; Spector, Tim D; Menni, Cristina; Ordovas, Jose M; Berry, Sarah E; Hall, Wendy L.
Afiliação
  • Bermingham KM; Department of Nutritional Sciences, King's College London, London WC2R 2LS, UK.
  • Mazidi M; Department of Twins Research and Genetic Epidemiology, King's College London, London WC2R 2LS, UK.
  • Franks PW; Department of Twins Research and Genetic Epidemiology, King's College London, London WC2R 2LS, UK.
  • Maher T; Medical Research Council Population Health Research Unit, University of Oxford, Oxford OX1 3QR, UK.
  • Valdes AM; Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
  • Linenberg I; Department of Clinical Sciences, Lund University, 21428 Malmö, Sweden.
  • Wolf J; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA.
  • Hadjigeorgiou G; Department of Nutritional Sciences, King's College London, London WC2R 2LS, UK.
  • Spector TD; School of Medicine, University of Nottingham, Nottingham NG5 1PB, UK.
  • Menni C; Nottingham NIHR Biomedical Research Centre, Nottingham NG7 2UH, UK.
  • Ordovas JM; Department of Nutritional Sciences, King's College London, London WC2R 2LS, UK.
  • Berry SE; ZOE Ltd., London SE1 7RW, UK.
  • Hall WL; ZOE Ltd., London SE1 7RW, UK.
Nutrients ; 15(11)2023 Jun 05.
Article em En | MEDLINE | ID: mdl-37299601
ABSTRACT

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 (ß-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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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Jejum / Metabolômica Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Nutrients Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Jejum / Metabolômica Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Nutrients Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido