Optimisation of a metabotype approach to deliver targeted dietary advice

DC FieldValueLanguage
dc.contributor.authorHillesheim, Elaine-
dc.contributor.authorRyan, Miriam F.-
dc.contributor.authorGibney, Eileen R.-
dc.contributor.authorRoche, Helen M.-
dc.contributor.authorBrennan, Lorraine-
dc.date.accessioned2022-07-25T15:38:18Z-
dc.date.available2022-07-25T15:38:18Z-
dc.date.copyright2020 the Authorsen_US
dc.date.issued2020-09-29-
dc.identifier.citationNutrition and Metabolismen_US
dc.identifier.issn1743-7075-
dc.identifier.urihttp://hdl.handle.net/10197/13015-
dc.description.abstractBackground: Targeted nutrition is defined as dietary advice tailored at a group level. Groups known as metabotypes can be identified based on individual metabolic profiles. Metabotypes have been associated with differential responses to diet, which support their use to deliver dietary advice. We aimed to optimise a metabotype approach to deliver targeted dietary advice by encompassing more specific recommendations on nutrient and food intakes and dietary behaviours. Methods: Participants (n = 207) were classified into three metabotypes based on four biomarkers (triacylglycerol, total cholesterol, HDL-cholesterol and glucose) and using a k-means cluster model. Participants in metabotype-1 had the highest average HDL-cholesterol, in metabotype-2 the lowest triacylglycerol and total cholesterol, and in metabotype-3 the highest triacylglycerol and total cholesterol. For each participant, dietary advice was assigned using decision trees for both metabotype (group level) and personalised (individual level) approaches. Agreement between methods was compared at the message level and the metabotype approach was optimised to incorporate messages exclusively assigned by the personalised approach and current dietary guidelines. The optimised metabotype approach was subsequently compared with individualised advice manually compiled. Results: The metabotype approach comprised advice for improving the intake of saturated fat (69% of participants), fibre (66%) and salt (18%), while the personalised approach assigned advice for improving the intake of folate (63%), fibre (63%), saturated fat (61%), calcium (34%), monounsaturated fat (24%) and salt (14%). Following the optimisation of the metabotype approach, the most frequent messages assigned to address intake of key nutrients were to increase the intake of fruit and vegetables, beans and pulses, dark green vegetables, and oily fish, to limit processed meats and high-fat food products and to choose fibre-rich carbohydrates, low-fat dairy and lean meats (60-69%). An average agreement of 82.8% between metabotype and manual approaches was revealed, with excellent agreements in metabotype-1 (94.4%) and metabotype-3 (92.3%). Conclusions: The optimised metabotype approach proved capable of delivering targeted dietary advice for healthy adults, being highly comparable with individualised advice. The next step is to ascertain whether the optimised metabotype approach is effective in changing diet quality.en_US
dc.description.sponsorshipEuropean Commission Horizon 2020en_US
dc.description.sponsorshipEuropean Research Councilen_US
dc.format.mediumElectronic-eCollection-
dc.language.isoenen_US
dc.publisherBMCen_US
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.en_US
dc.subjectCluster metabolitesen_US
dc.subjectMetabolitesen_US
dc.subjectPersonalised nutritionen_US
dc.subjectTargeted nutritionen_US
dc.titleOptimisation of a metabotype approach to deliver targeted dietary adviceen_US
dc.typeJournal Articleen_US
dc.internal.authorcontactotheraoife.ogorman@ucd.ieen_US
dc.statusPeer revieweden_US
dc.identifier.volume17en_US
dc.identifier.issue1en_US
dc.citation.otherArticle Number: 82en_US
dc.identifier.doi10.1186/s12986-020-00499-z-
dc.neeo.contributorHillesheim|Elaine|aut|-
dc.neeo.contributorRyan|Miriam F.|aut|-
dc.neeo.contributorGibney|Eileen R.|aut|-
dc.neeo.contributorRoche|Helen M.|aut|-
dc.neeo.contributorBrennan|Lorraine|aut|-
dc.description.othersponsorshipBrazilian Federal Agency for Support and Evaluation of Graduate Educationen_US
dc.date.updated2021-04-23T12:08:29Z-
dc.identifier.grantid647783-
dc.identifier.grantid88881.174061/2018-01-
dc.identifier.grantid647783-
dc.rights.licensehttps://creativecommons.org/licenses/by/3.0/ie/en_US
item.fulltextWith Fulltext-
item.grantfulltextopen-
Appears in Collections:Conway Institute Research Collection
Institute of Food and Health Research Collection
Public Health, Physiotherapy and Sports Science Research Collection
Agriculture and Food Science Research Collection
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