Almanza Aguilera, EnriqueUrpí Sardà, MireiaLlorach, RafaelVázquez Fresno, RosaGarcia Aloy, MarCarmona Pontaque, FrancescSànchez, Àlex (Sànchez Pla)Madrid Gambín, Francisco JavierEstruch Riba, RamonCorella Piquer, DoloresAndrés Lacueva, Ma. Cristina2020-06-022020-06-022017-06-070955-2863https://hdl.handle.net/2445/163703The study of biomarkers of dietary patterns including the Mediterranean diet (MedDiet) is scarce and could improve the assessment of these patterns. Moreover, it could provide a better understanding of health benefits of dietary patterns in nutritional epidemiology. We aimed to determine a robust and accurate biomarker associated with a high adherence to a MedDiet pattern that included dietary assessment and its biological effect. In this cross-sectional study, we included 56 and 63 individuals with high (H-MDA) and low (L-MDA) MedDiet adherence categories, respectively, all from the Prevención con Dieta Mediterránea trial. A 1H-NMR-based untargeted metabolomics approach was applied to urine samples. Multivariate statistical analyses were conducted to determine the metabolite differences between groups. A stepwise logistic regression and receiver operating characteristic curves were used to build and evaluate the prediction model for H-MDA. Thirty-four metabolites were identified as discriminant between H-MDA and L-MDA. The fingerprint associated with H-MDA included higher excretion of proline betaine and phenylacetylglutamine, among others, and decreased amounts of metabolites related to glucose metabolism. Three microbial metabolites - phenylacetylglutamine, p-cresol and 4-hydroxyphenylacetate - were included in the prediction model of H-MDA (95% specificity, 95% sensitivity and 97% area under the curve). The model composed of microbial metabolites was the biomarker that defined high adherence to a Mediterranean dietary pattern. The overall metabolite profiling identified reflects the metabolic modulation produced by H-MDA. The proposed biomarker may be a better tool for assessing and aiding nutritional epidemiology in future associations between H-MDA and the prevention or amelioration of chronic diseases.8 p.application/pdfengcc-by-nc-nd (c) Elsevier B.V., 2017http://creativecommons.org/licenses/by-nc-nd/3.0/esCuina mediterràniaMarcadors bioquímicsHàbits alimentarisMetabolòmicaGlutaminaMicrobiota intestinalOrinaEspectroscòpia de ressonància magnètica nuclearFisiologiaMediterranean cookingBiochemical markersFood habitsMetabolomicsGlutamineGastrointestinal microbiomeUrineNuclear magnetic resonance spectroscopyPhysiologyinfo:eu-repo/semantics/article6724042020-06-02info:eu-repo/semantics/openAccess