Novel strategies for improving dietary exposure assessment: Multiple-data fusion is a more accurate measure than the traditional single-biomarker approach

dc.contributor.authorGarcia Aloy, Mar
dc.contributor.authorRabassa Bonet, Montserrat
dc.contributor.authorCasas-Agustench, Patricia
dc.contributor.authorHidalgo Liberona, Nicole
dc.contributor.authorLlorach, Rafael
dc.contributor.authorAndrés Lacueva, Ma. Cristina
dc.date.accessioned2017-12-05T14:18:31Z
dc.date.available2018-04-29T22:01:21Z
dc.date.issued2017-04-29
dc.date.updated2017-12-05T14:18:31Z
dc.description.abstractBACKGROUND: Accurate measurement of food intake is the cornerstone of understanding the links between diet and optimal health status or risk of disease. The utilization of metabolomics approaches is revolutionizing the field of dietary assessment by associating metabolic profiles with intake of specific foods or dietary patterns and/or investigating human health status in nutritional trials. Combining dietary biomarkers with conventional dietary assessment methods is considered a potential strategy for tackling the complexity of dietary exposure fingerprinting. SCOPE AND APPROACH: We discuss existing approaches among dietary assessment methods and dietary biomarkers. A combined approach taking into consideration data from dietary questionnaires with measurements of dietary biomarkers is emphasized. KEY FINDINGS AND CONCLUSIONS: Trends in novel strategies for improving dietary exposure assessment will be influenced by the discovery and validation of dietary exposure biomarkers. Among different strategies, multi-metabolite biomarker panels enable more reliable estimation of dietary exposure than does the traditional single-biomarker approach. Therefore, a combined approach using data from dietary questionnaires along with measurements of dietary biomarkers is considered an excellent strategy for improving dietary exposure assessment.
dc.format.extent26 p.
dc.format.mimetypeapplication/pdf
dc.identifier.idgrec672609
dc.identifier.issn0924-2244
dc.identifier.urihttps://hdl.handle.net/2445/118509
dc.language.isoeng
dc.publisherElsevier B.V.
dc.relation.isformatofVersió postprint del document publicat a: https://doi.org/10.1016/j.tifs.2017.04.013
dc.relation.ispartofTrends in Food Science & Technology, 2017, vol. 69 Part B, p. 220-229
dc.relation.urihttps://doi.org/10.1016/j.tifs.2017.04.013
dc.rightscc-by-nc-nd (c) Elsevier B.V., 2017
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es
dc.sourceArticles publicats en revistes (Nutrició, Ciències de l'Alimentació i Gastronomia)
dc.subject.classificationMarcadors bioquímics
dc.subject.classificationMetabòlits
dc.subject.classificationNutrició
dc.subject.classificationDieta
dc.subject.otherBiochemical markers
dc.subject.otherMetabolites
dc.subject.otherNutrition
dc.subject.otherDiet
dc.titleNovel strategies for improving dietary exposure assessment: Multiple-data fusion is a more accurate measure than the traditional single-biomarker approach
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/acceptedVersion

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