Multicompartmental LC-Q-TOF-based metabonomics as an exploratory tool to identify novel pathways affected by polyphenol-rich diets in mice |
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Authors: | Jové Mariona Serrano José C E Ortega Nàdia Ayala Victòria Anglès Neus Reguant Jordi Morelló José R Romero Maria Paz Motilva Maria José Prat Joan Pamplona Reinald Portero-Otín Manuel |
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Institution: | Institut de Recerca Biome?dica de Lleida-Universitat de Lleida-Parc Cienti?fic i Agroalimentari Tecnolo?gic de Lleida (IRBLLEIDA-UdL-PCiTAL), c/Montserrat Roig 2, 25008 Lleida, Spain. |
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Abstract: | Metabonomics has recently been used to study the physiological response to a given nutritional intervention, but such studies have usually been restricted to changes in either plasma or urine. In the present study, we demonstrate that the use of LC-Q-TOF-based metabolome analyses (foodstuff, plasma, urine, and caecal content metabolomes) in mice offer higher order information, including intra- and intercompartment relationships. To illustrate this, we performed an intervention study with three different phenolic-rich extracts in mice over 3 weeks. Both unsupervised (PCA) and supervised (PLS-DA) multivariate analyses used for pattern recognition revealed marked effects of diet in each compartment (plasma, urine, and caecal contents). Specifically, dietary intake of phenolic-rich extract affects pathways such as bile acid and taurine metabolism. Q-TOF-based metabonomics demonstrated that the number of correlations is higher in caecal contents and urine than in plasma. Moreover, intercompartment correlations showed that caecal contents-plasma correlations are the most frequent in mice, followed by plasma-urine ones. The number of inter- and intracompartment correlations is significantly affected by diet. These analyses reveal the complexity of interorgan metabolic relationships and their sensitivity to dietary changes. |
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