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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. LU ; Maher, Tyler ; Valdes, Ana M. ; Linenberg, Inbar ; Wolf, Jonathan ; Hadjigeorgiou, George ; Spector, Tim D. and Menni, Cristina , et al. (2023) In Nutrients 15(11).
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)... (More)

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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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
lipids, lipoproteins, nuclear magnetic resonance (NMR)
in
Nutrients
volume
15
issue
11
article number
2638
publisher
MDPI AG
external identifiers
  • pmid:37299601
  • scopus:85161382348
ISSN
2072-6643
DOI
10.3390/nu15112638
language
English
LU publication?
yes
id
756b3155-c9a3-4608-9909-87fce930e342
date added to LUP
2023-08-15 12:39:56
date last changed
2024-02-19 22:34:00
@article{756b3155-c9a3-4608-9909-87fce930e342,
  abstract     = {{<p>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 &gt;25% and 14 increasing by &gt;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 &gt;0.80) between fasting and postprandial timepoints, and 5% were weakly correlated (rho &lt;0.50). The median ICC of the 250 metabolites was 0.91 (range 0.08–0.99). The lowest ICCs (ICC &lt;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.</p>}},
  author       = {{Bermingham, Kate M. and Mazidi, Mohsen and Franks, Paul W. and Maher, Tyler and Valdes, Ana M. and Linenberg, Inbar and Wolf, Jonathan and Hadjigeorgiou, George and Spector, Tim D. and Menni, Cristina and Ordovas, Jose M. and Berry, Sarah E. and Hall, Wendy L.}},
  issn         = {{2072-6643}},
  keywords     = {{lipids; lipoproteins; nuclear magnetic resonance (NMR)}},
  language     = {{eng}},
  number       = {{11}},
  publisher    = {{MDPI AG}},
  series       = {{Nutrients}},
  title        = {{Characterisation of Fasting and Postprandial NMR Metabolites : Insights from the ZOE PREDICT 1 Study}},
  url          = {{http://dx.doi.org/10.3390/nu15112638}},
  doi          = {{10.3390/nu15112638}},
  volume       = {{15}},
  year         = {{2023}},
}