Journal article
Nutriome–metabolome relationships provide insights into dietary intake and metabolism
Nature Food, Vol.1(7), pp.426-436
2020
Abstract
Dietary assessment traditionally relies on self-reported data, which are often inaccurate and may result in erroneous diet–disease risk associations. We illustrate how urinary metabolic phenotyping can be used as an alternative approach to obtain information on dietary patterns. We used two multipass 24 h dietary recalls, obtained on two occasions on average 3 weeks apart, paired with two 24 h urine collections from 1,848 US individuals; 67 nutrients influenced the urinary metabotype (metabolic phenotype) of 46 structurally identified metabolites characterized by 1H NMR spectroscopy. We investigated the stability of each metabolite over time and showed that the urinary metabolic profile is more stable within individuals than reported dietary patterns. The 46 metabolites accurately predicted healthy and unhealthy dietary patterns in a free-living US cohort, and these predictions were replicated in an independent UK cohort. We mapped these metabolites into a host-microbial metabolic network to identify key pathways and functions related to diet. These data can be used in future studies to evaluate how this set of diet-derived, stable, measurable bioanalytical markers is associated with disease risk. This knowledge may give new insights into biological pathways that characterize the shift from a healthy to an unhealthy metabolic phenotype and hence indicate entry points for prevention and intervention strategies.
Details
- Title
- Nutriome–metabolome relationships provide insights into dietary intake and metabolism
- Authors/Creators
- J.M. Posma (Author/Creator)I. Garcia-Perez (Author/Creator)G. Frost (Author/Creator)G.S. Aljuraiban (Author/Creator)Q. Chan (Author/Creator)L. Van Horn (Author/Creator)M. Daviglus (Author/Creator)J. Stamler (Author/Creator)E. Holmes (Author/Creator)P. Elliott (Author/Creator)J.K. Nicholson (Author/Creator)
- Publication Details
- Nature Food, Vol.1(7), pp.426-436
- Publisher
- Springer Nature
- Identifiers
- 991005542485907891
- Copyright
- © 2020 Springer Nature Limited
- Murdoch Affiliation
- Australian National Phenome Centre
- Language
- English
- Resource Type
- Journal article
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- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 2 Chemistry
- 2.211 Mass Spectrometry
- 2.211.990 Metabolomics
- Web Of Science research areas
- Food Science & Technology
- ESI research areas
- Agricultural Sciences