Phenotypic factors influencing the variation in response of circulating cholesterol level to personalised dietary advice in the Food4me study

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Title: Phenotypic factors influencing the variation in response of circulating cholesterol level to personalised dietary advice in the Food4me study
Authors: Kirwan, Laura
Walsh, Marianne C.
Celis-Morales, Carlos
O'Donovan, Clare
Woolhead, Clara
Forster, Hannah
Gibney, Michael J.
Gibney, Eileen R.
Brennan, Lorraine
et al.
Permanent link: http://hdl.handle.net/10197/8319
Date: Dec-2016
Abstract: 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 based on the change in cholesterol level from baseline to month 6, with lower and upper quartiles defined as the responder and non-responder groups, respectively. There were no significant differences between the 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 monounsaturated fatty acids (p=0.016) and total polyunsaturated fatty acids (p=0.008) also differed between the groups. In a stepwise logistic regression model, age, baseline total cholesterol, glucose, five fatty acids and alcohol intake 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.  
Funding Details: European Commission - Seventh Framework Programme (FP7)
Type of material: Journal Article
Publisher: Cambridge University Press
Copyright (published version): 2017 the Authors
Keywords: Personalised nutrition;Cholesterol;Responders;Phenotype;Fatty acid profile
DOI: 10.1017/S0007114516004256
Language: en
Status of Item: Peer reviewed
Appears in Collections:Agriculture and Food Science Research Collection

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