Literature DB >> 26259951

Can metabotyping help deliver the promise of personalised nutrition?

Clare B O'Donovan1, Marianne C Walsh1, Michael J Gibney1, Eileen R Gibney1, Lorraine Brennan1.   

Abstract

Over a decade since the completion of the human genome sequence, the promise of personalised nutrition available to all has yet to become a reality. While the definition was originally very gene-focused, in recent years, a model of personalised nutrition has emerged with the incorporation of dietary, phenotypic and genotypic information at various levels. Developing on from the idea of personalised nutrition, the concept of targeted nutrition has evolved which refers to the delivery of tailored dietary advice at a group level rather than at an individual level. Central to this concept is metabotyping or metabolic phenotyping, which is the ability to group similar individuals together based on their metabolic or phenotypic profiles. Applications of the metabotyping concept extend from the nutrition to the medical literature. While there are many examples of the metabotype approach, there is a dearth in the literature with regard to the development of tailored interventions for groups of individuals. This review will first explore the effectiveness of personalised nutrition in motivating behaviour change and secondly, examine potential novel ways for the delivery of personalised advice at a population level through a metabotyping approach. Based on recent findings from our work, we will demonstrate a novel strategy for the delivery of tailored dietary advice at a group level using this concept. In general, there is a strong emerging evidence to support the effectiveness of personalised nutrition; future work should ascertain if targeted nutrition can motivate behaviour change in a similar manner.

Entities:  

Keywords:  Cluster analysis; Metabotyping; Personalised nutrition; Targeted nutrition

Year:  2015        PMID: 26259951     DOI: 10.1017/S0029665115002347

Source DB:  PubMed          Journal:  Proc Nutr Soc        ISSN: 0029-6651            Impact factor:   6.297


  5 in total

Review 1.  Antioxidants in Personalized Nutrition and Exercise.

Authors:  Nikos V Margaritelis; Vassilis Paschalis; Anastasios A Theodorou; Antonios Kyparos; Michalis G Nikolaidis
Journal:  Adv Nutr       Date:  2018-11-01       Impact factor: 8.701

Review 2.  Personalised Interventions-A Precision Approach for the Next Generation of Dietary Intervention Studies.

Authors:  Baukje de Roos; Lorraine Brennan
Journal:  Nutrients       Date:  2017-08-09       Impact factor: 5.717

3.  Modifying effect of metabotype on diet-diabetes associations.

Authors:  Anna Riedl; Nina Wawro; Christian Gieger; Christa Meisinger; Annette Peters; Wolfgang Rathmann; Wolfgang Koenig; Konstantin Strauch; Anne S Quante; Barbara Thorand; Cornelia Huth; Hannelore Daniel; Hans Hauner; Jakob Linseisen
Journal:  Eur J Nutr       Date:  2019-05-14       Impact factor: 5.614

4.  Association between Usual Dietary Intake of Food Groups and DNA Methylation and Effect Modification by Metabotype in the KORA FF4 Cohort.

Authors:  Fabian Hellbach; Sebastian-Edgar Baumeister; Rory Wilson; Nina Wawro; Chetana Dahal; Dennis Freuer; Hans Hauner; Annette Peters; Juliane Winkelmann; Lars Schwettmann; Wolfgang Rathmann; Florian Kronenberg; Wolfgang Koenig; Christa Meisinger; Melanie Waldenberger; Jakob Linseisen
Journal:  Life (Basel)       Date:  2022-07-15

5.  Association of Dietary Patterns and Type-2 Diabetes Mellitus in Metabolically Homogeneous Subgroups in the KORA FF4 Study.

Authors:  Nina Wawro; Giulia Pestoni; Anna Riedl; Taylor A Breuninger; Annette Peters; Wolfgang Rathmann; Wolfgang Koenig; Cornelia Huth; Christa Meisinger; Sabine Rohrmann; Jakob Linseisen
Journal:  Nutrients       Date:  2020-06-05       Impact factor: 5.717

  5 in total

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