Literature DB >> 19374449

Phenotyping tea consumers by nutrikinetic analysis of polyphenolic end-metabolites.

Ewoud J J van Velzen1, Johan A Westerhuis, John P M van Duynhoven, Ferdi A van Dorsten, Christian H Grün, Doris M Jacobs, Guus S M J E Duchateau, Daniël J Vis, Age K Smilde.   

Abstract

An integration of metabolomics and pharmacokinetics (or nutrikinetics) is introduced as a concept to describe a human study population with different metabolic phenotypes following a nutritional intervention. The approach facilitates an unbiased analysis of the time-response of body fluid metabolites from crossover designed intervention trials without prior knowledge of the underlying metabolic pathways. The method is explained for the case of a human intervention study in which the nutrikinetic analysis of polyphenol-rich black tea consumption was performed in urine over a period of 48 h. First, multilevel PLS-DA analysis was applied to the urinary 1H NMR profiles to select the most differentiating biomarkers between the verum and placebo samples. Then, a one-compartment nutrikinetic model with first-order excretion, a lag time, and a baseline function was fitted to the time courses of these selected biomarkers. The nutrikinetic model used here fully exploits the crossover structure in the data by fitting the data from both the treatment period and the placebo period simultaneously. To demonstrate the procedure, a selected set of urinary biomarkers was used in the model fitting. These metabolites include hippuric acid, 4-hydroxyhippuric acid and 1,3-dihydroxyphenyl-2-O-sulfate and derived from microbial fermentation of polyphenols in the gut. Variations in urinary excretion between- and within the subjects were observed, and used to provide a phenotypic description of the test population.

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Year:  2009        PMID: 19374449     DOI: 10.1021/pr801071p

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  20 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

2.  Multivariate paired data analysis: multilevel PLSDA versus OPLSDA.

Authors:  Johan A Westerhuis; Ewoud J J van Velzen; Huub C J Hoefsloot; Age K Smilde
Journal:  Metabolomics       Date:  2009-10-28       Impact factor: 4.290

3.  Dynamic metabolomic data analysis: a tutorial review.

Authors:  A K Smilde; J A Westerhuis; H C J Hoefsloot; S Bijlsma; C M Rubingh; D J Vis; R H Jellema; H Pijl; F Roelfsema; J van der Greef
Journal:  Metabolomics       Date:  2009-12-04       Impact factor: 4.290

Review 4.  Metabolomics in the developmental origins of obesity and its cardiometabolic consequences.

Authors:  M F Hivert; W Perng; S M Watkins; C S Newgard; L C Kenny; B S Kristal; M E Patti; E Isganaitis; D L DeMeo; E Oken; M W Gillman
Journal:  J Dev Orig Health Dis       Date:  2015-01-29       Impact factor: 2.401

5.  Current status on genome-metabolome-wide associations: an opportunity in nutrition research.

Authors:  Ivan Montoliu; Ulrich Genick; Mirko Ledda; Sebastiano Collino; François-Pierre Martin; Johannes le Coutre; Serge Rezzi
Journal:  Genes Nutr       Date:  2012-10-16       Impact factor: 5.523

Review 6.  Paradigm shift - Metabolic transformation of docosahexaenoic and eicosapentaenoic acids to bioactives exemplify the promise of fatty acid drug discovery.

Authors:  Ganesh V Halade; Laurence M Black; Mahendra Kumar Verma
Journal:  Biotechnol Adv       Date:  2018-02-28       Impact factor: 14.227

7.  Systems Epidemiology: A New Direction in Nutrition and Metabolic Disease Research.

Authors:  Marilyn C Cornelis; Frank B Hu
Journal:  Curr Nutr Rep       Date:  2013-12

8.  Development and validation of a standardized protocol to monitor human dietary exposure by metabolite fingerprinting of urine samples.

Authors:  Gaëlle Favé; Manfred Beckmann; Amanda J Lloyd; Shaobo Zhou; Graham Harold; Wanchang Lin; Kathleen Tailliart; Long Xie; John Draper; John C Mathers
Journal:  Metabolomics       Date:  2011-02-23       Impact factor: 4.290

9.  Diagnostic properties of metabolic perturbations in rheumatoid arthritis.

Authors:  Rasmus K Madsen; Torbjörn Lundstedt; Jon Gabrielsson; Carl-Johan Sennbro; Gerd-Marie Alenius; Thomas Moritz; Solbritt Rantapää-Dahlqvist; Johan Trygg
Journal:  Arthritis Res Ther       Date:  2011-02-08       Impact factor: 5.156

10.  Towards polypharmacokinetics: pharmacokinetics of multicomponent drugs and herbal medicines using a metabolomics approach.

Authors:  Ke Lan; Guoxiang Xie; Wei Jia
Journal:  Evid Based Complement Alternat Med       Date:  2013-03-14       Impact factor: 2.629

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