Metabotyping for the development of tailored dietary advice solutions in a European population: the Food4Me study

O’Donovan, C. B. et al. (2017) Metabotyping for the development of tailored dietary advice solutions in a European population: the Food4Me study. British Journal of Nutrition, 118(8), pp. 561-569. (doi: 10.1017/S0007114517002069) (PMID:29056103)

Abstract

Traditionally, personalised nutrition was delivered at an individual level. However, the concept of delivering tailored dietary advice at a group level through the identification of metabotypes or groups of metabolically similar individuals has emerged. Although this approach to personalised nutrition looks promising, further work is needed to examine this concept across a wider population group. Therefore, the objectives of this study are to: (1) identify metabotypes in a European population and (2) develop targeted dietary advice solutions for these metabotypes. Using data from the Food4Me study (n 1607), k-means cluster analysis revealed the presence of three metabolically distinct clusters based on twenty-seven metabolic markers including cholesterol, individual fatty acids and carotenoids. Cluster 2 was identified as a metabolically healthy metabotype as these individuals had the highest Omega-3 Index (6·56 (sd 1·29) %), carotenoids (2·15 (sd 0·71) µm) and lowest total saturated fat levels. On the basis of its fatty acid profile, cluster 1 was characterised as a metabolically unhealthy cluster. Targeted dietary advice solutions were developed per cluster using a decision tree approach. Testing of the approach was performed by comparison with the personalised dietary advice, delivered by nutritionists to Food4Me study participants (n 180). Excellent agreement was observed between the targeted and individualised approaches with an average match of 82 % at the level of delivery of the same dietary message. Future work should ascertain whether this proposed method could be utilised in a healthcare setting, for the rapid and efficient delivery of tailored dietary advice solutions.

• Item Type: Articles
• Additional Information: The Food4Me Study is supported by the European Commission under the Food, Agriculture, Fisheries and Biotechnology Theme of the 7th Framework Programme for Research and Technological Development, grant no. 265494.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Celis, Dr Carlos
• Authors: O’Donovan, C. B., Walsh, M. C., Woolhead, C., Forster, H., Celis-Morales, C., Fallaize, R., Macready, A. L., Marsaux, C. F. M., Navas-Carretero, S., Rodrigo San-Cristobal, S., Kolossa, S., Tsirigoti, L., Mvrogianni, C., Lambrinou, C. P., Moschonis, G., Godlewska, M., Surwillo, A., Traczyk, I., Drevon, C. A., Daniel, H., Manios, Y., Martinez, J. A., Saris, W. H. M., Lovegrove, J. A., Mathers, J. C., Gibney, M. J., Gibney, E. R., and Brennan, L.
• College/School: College of Medical Veterinary and Life Sciences > School of Cardiovascular & Metabolic Health
• Journal Name: British Journal of Nutrition
• Publisher: Cambridge University Press
• ISSN: 0007-1145
• ISSN (Online): 1475-2662
• Published Online: 23 October 2017
• Copyright Holders: Copyright © 2017 The Authors
• First Published: First published in British Journal of Nutrition 118(8):561-569
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher.