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Lookup NU author(s): Dr Carlos Celis Morales, Dr Katherine Livingstone, Professor John Mathers, Eileen Gibney, Professor Lorraine Brennan
This is the final published version of an article that has been published in its final definitive form by Cambridge University Press, 2016.
For re-use rights please refer to the publisher's terms and conditions.
Individual response to dietary interventions can be highly variable. The phenotypic characteristics of those who will respond positively to personalised dietary advice are largely unknown. The objective of this study was to compare the phenotypic profiles of differential responders to personalised dietary intervention, with a focus on total circulating cholesterol. Subjects from the Food4Me multi-centre study were classified as responders or non-responders to dietary advice on the basis of the change in cholesterol level from baseline to month 6, with lower and upper quartiles defined as responder and non-responder groups, respectively. There were no significant differences between demographic and anthropometric profiles of the groups. Furthermore, with the exception of alcohol, there was no significant difference in reported dietary intake, at baseline. However, there were marked differences in baseline fatty acid profiles. The responder group had significantly higher levels of stearic acid (18 : 0, P= 0.034) and lower levels of palmitic acid (16 : 0, P= 0.009). Total MUFA (P= 0.016) and total PUFA (P= 0.008) also differed between the groups. In a step-wise logistic regression model, age, baseline total cholesterol, glucose, five fatty acids and alcohol intakes were selected as factors that successfully discriminated responders from non-responders, with sensitivity of 82% and specificity of 83%. The successful delivery of personalised dietary advice may depend on our ability to identify phenotypes that are responsive. The results demonstrate the potential use of metabolic profiles in identifying response to an intervention and could play an important role in the development of precision nutrition.
Author(s): Kirwan L, Walsh MC, Celis-Morales C, Marsaux CFM, Livingstone KM, Navas-Carretero S, Fallaize R, O'Donovan CB, Woolhead C, Forster H, Kolossa S, Daniel H, Moschonis G, Manios Y, Surwillo A, Godlewska M, Traczyk I, Drevon CA, Gibney MJ, Lovegrove JA, Martinez JA, Saris WHM, Mathers JC, Gibney ER, Brennan L, Food4me Study
Publication type: Article
Publication status: Published
Journal: British Journal of Nutrition
Year: 2016
Volume: 116
Issue: 12
Pages: 2011-2019
Print publication date: 28/12/2016
Online publication date: 09/01/2017
Acceptance date: 10/11/2016
Date deposited: 29/06/2018
ISSN (print): 0007-1145
ISSN (electronic): 1475-2662
Publisher: Cambridge University Press
URL: http://dx.doi.org/10.1017/S0007114516004256
DOI: 10.1017/S0007114516004256
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