Literature DB >> 14756917

Phenolic acid metabolites as biomarkers for tea- and coffee-derived polyphenol exposure in human subjects.

Jonathan M Hodgson1, Shin Yee Chan, Ian B Puddey, Amanda Devine, Naiyana Wattanapenpaiboon, Mark L Wahlqvist, Widjaja Lukito, Valerie Burke, Natalie C Ward, Richard L Prince, Kevin D Croft.   

Abstract

Tea and coffee are rich in polyphenols with a variety of biological activities. Many of the demonstrated activities are consistent with favourable effects on the risk of chronic diseases. 4-O-methylgallic acid (4OMGA) and isoferulic acid are potential biomarkers of exposure to polyphenols derived from tea and coffee respectively. 4OMGA is derived from gallic acid in tea, and isoferulic acid is derived from chlorogenic acid in coffee. Our major objective was to explore the relationships of tea and coffee intake with 24 h urinary excretion of 4OMGA and isoferulic acid in human subjects. The relationships of long-term usual (111 participants) and contemporaneously recorded current (344 participants) tea and coffee intake with 24 h urinary excretion of 4OMGA and isoferulic acid were assessed in two populations. 4OMGA was related to usual (r 0.50, P<0.001) and current (r 0.57, P<0.001) tea intake, and isoferulic acid was related to usual (r 0.26, P=0.008) and current (r 0.18, P<0.001) coffee intake. Overall, our present results are consistent with the proposal that 4OMGA is a good biomarker for black tea-derived polyphenol exposure, but isoferulic acid may be of limited usefulness as a biomarker for coffee-derived polyphenol exposure.

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Year:  2004        PMID: 14756917     DOI: 10.1079/BJN20031046

Source DB:  PubMed          Journal:  Br J Nutr        ISSN: 0007-1145            Impact factor:   3.718


  11 in total

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Journal:  Anal Chim Acta       Date:  2011-07-29       Impact factor: 6.558

2.  A 6-month randomized pilot study of black tea and cardiovascular risk factors.

Authors:  Kenneth J Mukamal; Kristen MacDermott; Joe A Vinson; Noriko Oyama; Warren J Manning; Murray A Mittleman
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3.  Smoking, green tea consumption, genetic polymorphisms in the insulin-like growth factors and lung cancer risk.

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Journal:  PLoS One       Date:  2012-02-07       Impact factor: 3.240

Review 4.  Metabolomics in the identification of biomarkers of dietary intake.

Authors:  Aoife O'Gorman; Helena Gibbons; Lorraine Brennan
Journal:  Comput Struct Biotechnol J       Date:  2013-02-07       Impact factor: 7.271

5.  Meat and Seafood Consumption in Relation to Plasma Metabolic Profiles in a Chinese Population: A Combined Untargeted and Targeted Metabolomics Study.

Authors:  Yonghai Lu; Li Zou; Jin Su; E Shyong Tai; Clare Whitton; Rob M van Dam; Choon Nam Ong
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6.  Identification of Urinary Polyphenol Metabolite Patterns Associated with Polyphenol-Rich Food Intake in Adults from Four European Countries.

Authors:  Hwayoung Noh; Heinz Freisling; Nada Assi; Raul Zamora-Ros; David Achaintre; Aurélie Affret; Francesca Mancini; Marie-Christine Boutron-Ruault; Anna Flögel; Heiner Boeing; Tilman Kühn; Ruth Schübel; Antonia Trichopoulou; Androniki Naska; Maria Kritikou; Domenico Palli; Valeria Pala; Rosario Tumino; Fulvio Ricceri; Maria Santucci de Magistris; Amanda Cross; Nadia Slimani; Augustin Scalbert; Pietro Ferrari
Journal:  Nutrients       Date:  2017-07-25       Impact factor: 5.717

Review 7.  Dietary (poly)phenolics in human health: structures, bioavailability, and evidence of protective effects against chronic diseases.

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Review 9.  Beer Polyphenols and Menopause: Effects and Mechanisms-A Review of Current Knowledge.

Authors:  Berner Andrée Sandoval-Ramírez; Rosa M Lamuela-Raventós; Ramon Estruch; Gemma Sasot; Monica Doménech; Anna Tresserra-Rimbau
Journal:  Oxid Med Cell Longev       Date:  2017-08-17       Impact factor: 6.543

Review 10.  Biomarkers of intake for coffee, tea, and sweetened beverages.

Authors:  Joseph A Rothwell; Francisco Madrid-Gambin; Mar Garcia-Aloy; Cristina Andres-Lacueva; Caomhan Logue; Alison M Gallagher; Carina Mack; Sabine E Kulling; Qian Gao; Giulia Praticò; Lars O Dragsted; Augustin Scalbert
Journal:  Genes Nutr       Date:  2018-07-04       Impact factor: 5.523

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