Type

Journal Article

Authors

John C Mathers
Wim H M Saris
J Alfredo Martinez
Julie A Lovegrove
Christian A Drevon
Iwona Traczyk
Magdalena Godlewska
Agnieszka Surwillo
Lorraine Brennan
Yannis Manios
and 15 others

Subjects

Biochemistry

Topics
multi centre study precision medicine roc curve europe patient compliance patient education as topic exercise cardiovascular diseases healthy lifestyle fatty acids fatty acid profile cholesterol humans polyunsaturated fatty acids adult genotype fatty acids monounsaturated alcohol drinking prevention control healthy diet personalised nutrition genetics male responders epidemiology blood phenotype internet middle aged risk factors adverse effects

Phenotypic factors influencing the variation in response of circulating cholesterol level to personalised dietary advice in the Food4me study (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.  
Collections Ireland -> University College Dublin -> School of Agriculture and Food Science
Ireland -> University College Dublin -> Agriculture and Food Science Research Collection

Full list of authors on original publication

John C Mathers, Wim H M Saris, J Alfredo Martinez, Julie A Lovegrove, Christian A Drevon, Iwona Traczyk, Magdalena Godlewska, Agnieszka Surwillo, Lorraine Brennan, Yannis Manios and 15 others

Experts in our system

1
John C Mathers
University College Dublin
Total Publications: 33
 
2
Wim H M Saris
University College Dublin
Total Publications: 39
 
3
J Alfredo Martinez
University College Dublin
Total Publications: 32
 
4
Julie A Lovegrove
University College Dublin
Total Publications: 46
 
5
Christian A Drevon
University College Dublin
Total Publications: 39
 
6
Lorraine Brennan
University College Dublin
Total Publications: 166
 
7
Yannis Manios
University College Dublin
Total Publications: 38