Literature DB >> 20013882

The metabolic fate of red wine and grape juice polyphenols in humans assessed by metabolomics.

Ferdinand A van Dorsten1, Christian H Grün, Ewoud J J van Velzen, Doris M Jacobs, Richard Draijer, John P M van Duynhoven.   

Abstract

The metabolic impact of polyphenol-rich red wine and grape juice consumption in humans was studied using a metabolomics approach. Fifty-eight men and women participated in a placebo-controlled, double-crossover study in which they consumed during a period of 4 wk, either a polyphenol-rich 2:1 dry mix of red wine and red grape juice extracts (MIX) or only a grape juice extract (GJX). Twenty-four-hour urine samples were collected after each intervention. (1)H NMR spectroscopy was applied for global metabolite profiling, while GC-MS was used for focused profiling of urinary phenolic acids. Urine metabolic profiles after intake of both polyphenol-rich extracts were significantly differentiated from placebo using multilevel partial least squares discriminant analysis. A significant 35% increase in hippuric acid excretion (p<0.001) in urine was measured after the MIX consumption as) or only a red grape juice dry extract (GJX). 24-h urine samples were collected after each intervention. 1H-NMR spectroscopy was applied for global metabolite profiling, while gas chromatography-mass spectrometry (GC-MS) was used for focused profiling of urinary phenolic acids. Urine metabolic profiles after intake of both polyphenol-rich extracts were significantly differentiated from placebo using multilevel partial least squares discriminant analysis (ML-PLS-DA). A significant 35% increase in hippuric acid excretion (p<0.001) in urine was measured after the MIX consumption compared with placebo, whereas no change was found after GJX consumption. GC-MS-based metabolomics of urine allowed identification of 18 different phenolic acids, which were significantly elevated following intake of either extract. Syringic acid, 3- and 4-hydroxyhippuric acid and 4-hydroxymandelic acid were the strongest urinary markers for both extracts. MIX and GJX consumption had a slightly different effect on the excreted phenolic acid profile and on endogenous metabolite excretion, possibly reflecting their different polyphenol composition.

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Year:  2010        PMID: 20013882     DOI: 10.1002/mnfr.200900212

Source DB:  PubMed          Journal:  Mol Nutr Food Res        ISSN: 1613-4125            Impact factor:   5.914


  19 in total

1.  Metabolic fate of polyphenols in the human superorganism.

Authors:  John van Duynhoven; Elaine E Vaughan; Doris M Jacobs; Robèr A Kemperman; Ewoud J J van Velzen; Gabriele Gross; Laure C Roger; Sam Possemiers; Age K Smilde; Joël Doré; Johan A Westerhuis; Tom Van de Wiele
Journal:  Proc Natl Acad Sci U S A       Date:  2010-06-25       Impact factor: 11.205

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Journal:  Clin Chem       Date:  2017-10-16       Impact factor: 8.327

3.  Plasma Metabolomic Profiles of Glycemic Index, Glycemic Load, and Carbohydrate Quality Index in the PREDIMED Study.

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Journal:  J Nutr       Date:  2021-01-04       Impact factor: 4.798

4.  A high fat, high cholesterol diet leads to changes in metabolite patterns in pigs--a metabolomic study.

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Review 5.  Evolving Interplay Between Dietary Polyphenols and Gut Microbiota-An Emerging Importance in Healthcare.

Authors:  Suman Kumar Ray; Sukhes Mukherjee
Journal:  Front Nutr       Date:  2021-05-24

6.  A metabolomic approach to the study of wine micro-oxygenation.

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Journal:  PLoS One       Date:  2012-05-25       Impact factor: 3.240

7.  Consumption of a polyphenol-rich grape-wine extract lowers ambulatory blood pressure in mildly hypertensive subjects.

Authors:  Richard Draijer; Young de Graaf; Marieke Slettenaar; Eric de Groot; Chris I Wright
Journal:  Nutrients       Date:  2015-04-30       Impact factor: 5.717

8.  Metabolic Effects of a 24-Week Energy-Restricted Intervention Combined with Low or High Dairy Intake in Overweight Women: An NMR-Based Metabolomics Investigation.

Authors:  Hong Zheng; Janne K Lorenzen; Arne Astrup; Lesli H Larsen; Christian C Yde; Morten R Clausen; Hanne Christine Bertram
Journal:  Nutrients       Date:  2016-02-23       Impact factor: 5.717

9.  Lowbush wild blueberries have the potential to modify gut microbiota and xenobiotic metabolism in the rat colon.

Authors:  Alison Lacombe; Robert W Li; Dorothy Klimis-Zacas; Aleksandra S Kristo; Shravani Tadepalli; Emily Krauss; Ryan Young; Vivian C H Wu
Journal:  PLoS One       Date:  2013-06-28       Impact factor: 3.240

10.  Carbohydrate-Free Peach (Prunus persica) and Plum (Prunus salicina) [corrected] Juice Affects Fecal Microbial Ecology in an Obese Animal Model.

Authors:  Giuliana D Noratto; Jose F Garcia-Mazcorro; Melissa Markel; Hercia S Martino; Yasushi Minamoto; Jörg M Steiner; David Byrne; Jan S Suchodolski; Susanne U Mertens-Talcott
Journal:  PLoS One       Date:  2014-07-09       Impact factor: 3.240

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