Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/116987
Title: Urinary excretions of 34 dietary polyphenols and their associations with lifestyle factors in the EPIC cohort study.
Author: Zamora-Ros, Raul
Achaintre, David
Rothwell, Joseph A.
Rinaldi, Sabina
Assi, Nada
Ferrari, Pietro
Leitzmann, Michael
Boutron-Ruault, Marie-Christine
Fagherazzi, Guy
Auffret, Aurélie
Kühn, Tilman
Katzke, Verena Andrea
Boeing, Heiner
Trichopoulou, Antonia
Naska, Androniki
Vasilopoulou, Effie
Palli, Domenico
Grioni, Sara
Mattiello, Amalia
Tumino, Rosario
Ricceri, Fulvio
Slimani, Nadia
Romieu, Isabelle
Scalbert, Augustin
Keywords: Polifenols
Dieta
Nutrició
Anàlisi d'orina
Polyphenols
Diet
Nutrition
Urine analysis
Issue Date: 7-Jun-2016
Publisher: Nature Publishing Group
Abstract: Urinary excretion of 34 dietary polyphenols and their variations according to diet and other lifestyle factors were measured by tandem mass spectrometry in 475 adult participants from the European Prospective Investigation into Cancer and Nutrition (EPIC) cross-sectional study. A single 24-hour urine sample was analysed for each subject from 4 European countries. The highest median levels were observed for phenolic acids such as 4-hydroxyphenylacetic acid (157 μmol/24 h), followed by 3-hydroxyphenylacetic, ferulic, vanillic and homovanillic acids (20-50 μmol/24 h). The lowest concentrations were observed for equol, apigenin and resveratrol (<0.1 μmol/24 h). Urinary polyphenols significantly varied by centre, followed by alcohol intake, sex, educational level, and energy intake. This variability is largely explained by geographical variations in the diet, as suggested by the high correlations (r > 0.5) observed between urinary polyphenols and the intake of their main food sources (e.g., resveratrol and gallic acid ethyl ester with red wine intake; caffeic, protocatechuic and ferulic acids with coffee consumption; and hesperetin and naringenin with citrus fruit intake). The large variations in urinary polyphenols observed are largely determined by food preferences. These polyphenol biomarkers should allow more accurate evaluation of the relationships between polyphenol exposure and the risk of chronic diseases in large epidemiological studies.
Note: Reproducció del document publicat a: https://doi.org/10.1038/srep26905
It is part of: Scientific Reports, 2016, vol. 6, p. 26905
URI: http://hdl.handle.net/2445/116987
Related resource: https://doi.org/10.1038/srep26905
ISSN: 2045-2322
Appears in Collections:Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))

Files in This Item:
File Description SizeFormat 
662082.pdf389.74 kBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons