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Title: Microbial metabolites are associated with a high adherence to a Mediterranean dietary pattern using a 1h-nmr-based untargeted metabolomics approach
Author: Almanza Aguilera, Enrique
Urpí Sardà, Mireia
Llorach, Rafael
Vázquez Fresno, Rosa
Garcia Aloy, Mar
Carmona Pontaque, Francesc
Sànchez, Àlex (Sànchez Pla)
Madrid Gambín, Francisco Javier
Estruch Riba, Ramon
Corella Piquer, Dolores
Andrés Lacueva, Ma. Cristina
Keywords: Cuina mediterrània
Marcadors bioquímics
Hàbits alimentaris
Microbiota intestinal
Espectroscòpia de ressonància magnètica nuclear
Mediterranean cooking
Biochemical markers
Food habits
Gastrointestinal microbiome
Nuclear magnetic resonance spectroscopy
Issue Date: 7-Jun-2017
Publisher: Elsevier B.V.
Abstract: The 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.
Note: Versió postprint del document publicat a:
It is part of: Journal of Nutritional Biochemistry, 2017, vol. 48, p. 36-43
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ISSN: 0955-2863
Appears in Collections:Articles publicats en revistes (Genètica, Microbiologia i Estadística)
Articles publicats en revistes (Nutrició, Ciències de l'Alimentació i Gastronomia)
Articles publicats en revistes (Enginyeria Electrònica i Biomèdica)
Articles publicats en revistes (Institut de Recerca en Nutrició i Seguretat Alimentària (INSA·UB))

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