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Lookup NU author(s): Professor John Mathers
This is the authors' accepted manuscript of an article that has been published in its final definitive form by Nature Publishing Group, 2020.
For re-use rights please refer to the publisher's terms and conditions.
Habitual consumption of poor quality diets is linked directly to risk factors for many non communicable disease. This has resulted in the vast majority of countries globally and the World Health Organaisation developing policies for healthy eating to reduce the prevalence of non communicable disease in the population. However, there is mounting evidence of variability in individual metabolic responses to any dietary intervention. We have developed a method for applying a pipeline for understanding inter-individual differences in response to diet, based on coupling data from highly-controlled dietary studies with deep metabolic phenotyping. In this feasibility study, we create an individual Dietary Metabotype Score (DMS) that embodies inter-individual variability in dietary response and captures consequent dynamic changes in concentrations of urinary metabolites. We find an inverse relationship between the DMS and blood glucose concentration. There is also a relationship between the DMS and urinary metabolic energy loss. Furthermore we employ a metabolic entropy approach to visualize individual and collective responses to dietary. Potentially, the DMS offers a method to target and to enhance dietary response at an individual level therefore reducing burden of non communicable diseases at a population level.
Author(s): Garcia-Perez I, Posma JM, Chambers ES, Mathers JC, Draper J, Beckmann M, Nicholson JK, Holmes E, Frost G
Publication type: Article
Publication status: Published
Journal: Nature Food
Print publication date: 01/06/2020
Online publication date: 17/06/2020
Acceptance date: 06/05/2020
Date deposited: 08/05/2020
ISSN (electronic): 2662-1355
Publisher: Nature Publishing Group
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