title: Can metabotyping help deliver the promise of personalised nutrition?
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.
authors.affiliation: Institute of Food & Health,University College Dublin (UCD),Belfield,Dublin,Ireland.
authors.forename: Clare B
authors.identifier: http://orcid.org/0000-0003-3367-6173
authors.initials: CB
authors.lastname: O'Donovan
authors.affiliation: Institute of Food & Health,University College Dublin (UCD),Belfield,Dublin,Ireland.
authors.forename: Marianne C
authors.identifier: http://orcid.org/0000-0002-6651-2434
authors.initials: MC
authors.lastname: Walsh
authors.affiliation: Institute of Food & Health,University College Dublin (UCD),Belfield,Dublin,Ireland.
authors.forename: Michael J
authors.identifier: http://orcid.org/0000-0001-5250-361X
authors.initials: MJ
authors.lastname: Gibney
authors.affiliation: Institute of Food & Health,University College Dublin (UCD),Belfield,Dublin,Ireland.
authors.forename: Eileen R
authors.identifier: http://orcid.org/0000-0001-9465-052X
authors.initials: ER
authors.lastname: Gibney
authors.affiliation: Institute of Food & Health,University College Dublin (UCD),Belfield,Dublin,Ireland.
authors.forename: Lorraine
authors.identifier: http://orcid.org/0000-0002-7711-7499
authors.initials: L
authors.lastname: Brennan
keywords: Cluster analysis; Metabotyping; Personalised nutrition; Targeted nutrition