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Characterisation of Fasting and Postprandial NMR Metabolites: Insights from the ZOE PREDICT 1 Study
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 PREDI...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255657/ https://www.ncbi.nlm.nih.gov/pubmed/37299601 http://dx.doi.org/10.3390/nu15112638 |
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author | 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. |
author_facet | 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. |
author_sort | Bermingham, Kate M. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10255657 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-102556572023-06-10 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. Nutrients Article 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. MDPI 2023-06-05 /pmc/articles/PMC10255657/ /pubmed/37299601 http://dx.doi.org/10.3390/nu15112638 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article 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. Characterisation of Fasting and Postprandial NMR Metabolites: Insights from the ZOE PREDICT 1 Study |
title | Characterisation of Fasting and Postprandial NMR Metabolites: Insights from the ZOE PREDICT 1 Study |
title_full | Characterisation of Fasting and Postprandial NMR Metabolites: Insights from the ZOE PREDICT 1 Study |
title_fullStr | Characterisation of Fasting and Postprandial NMR Metabolites: Insights from the ZOE PREDICT 1 Study |
title_full_unstemmed | Characterisation of Fasting and Postprandial NMR Metabolites: Insights from the ZOE PREDICT 1 Study |
title_short | Characterisation of Fasting and Postprandial NMR Metabolites: Insights from the ZOE PREDICT 1 Study |
title_sort | characterisation of fasting and postprandial nmr metabolites: insights from the zoe predict 1 study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255657/ https://www.ncbi.nlm.nih.gov/pubmed/37299601 http://dx.doi.org/10.3390/nu15112638 |
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