OBJECTIVE: Estimation of dietary intake of polyphenols is difficult, due to limited availability of food composition data and bias inherent to dietary assessment methods. The aim of the present study was to evaluate whether we could detect polyphenols and their metabolites in a spot urine sample in a free-living human population and whether it was related to those observed in 24-h urine samples, for potential use as a biomarkers of polyphenol intake. SUBJECTS: Four 24-h urine samples and two spot urine samples were collected from 154 participants of the SU.VI.MAX cohort (a randomized primary-prevention trial evaluating the effect of daily antioxidant supplementation on chronic diseases) in two separate studies over, respectively, a 7- and 2-day periods. Thirteen polyphenols and metabolites (chlorogenic acid (CGA), caffeic acid (CA), m-coumaric acid (mCOU), gallic acid (GA), 4-O-methylgallic acid (MeGA), quercetin (Q), isorhamnetin (MeQ), kaempferol (K), hesperetin (HESP), naringenin (NAR), phloretin (PHLOR), enterolactone (ENL) and enterodiol (END) were measured using HPLC-ESI-MS-MS. RESULTS: Correlations between the urinary excretion levels were observed. The most significant were explained by metabolic filiations (CGA/CA, CA/mCOU, GA/MeGA, Q/MeQ, NAR/PHLOR, ENL/END) or co-occurrence in a same food source (NAR/HESP). Concentrations in spot samples correlated with those in 24-h urine sample (P<0.02, except for CA and for MeQ). Intra-individual variations were smaller than inter-individual variations for all polyphenols (P<0.01) except for MeGA and for PHLOR. CONCLUSION: These results show that these polyphenols and metabolites are useful biomarkers for polyphenol intake.
RCT Entities:
OBJECTIVE: Estimation of dietary intake of polyphenols is difficult, due to limited availability of food composition data and bias inherent to dietary assessment methods. The aim of the present study was to evaluate whether we could detect polyphenols and their metabolites in a spot urine sample in a free-living human population and whether it was related to those observed in 24-h urine samples, for potential use as a biomarkers of polyphenol intake. SUBJECTS: Four 24-h urine samples and two spot urine samples were collected from 154 participants of the SU.VI.MAX cohort (a randomized primary-prevention trial evaluating the effect of daily antioxidant supplementation on chronic diseases) in two separate studies over, respectively, a 7- and 2-day periods. Thirteen polyphenols and metabolites (chlorogenic acid (CGA), caffeic acid (CA), m-coumaric acid (mCOU), gallic acid (GA), 4-O-methylgallic acid (MeGA), quercetin (Q), isorhamnetin (MeQ), kaempferol (K), hesperetin (HESP), naringenin (NAR), phloretin (PHLOR), enterolactone (ENL) and enterodiol (END) were measured using HPLC-ESI-MS-MS. RESULTS: Correlations between the urinary excretion levels were observed. The most significant were explained by metabolic filiations (CGA/CA, CA/mCOU, GA/MeGA, Q/MeQ, NAR/PHLOR, ENL/END) or co-occurrence in a same food source (NAR/HESP). Concentrations in spot samples correlated with those in 24-h urine sample (P<0.02, except for CA and for MeQ). Intra-individual variations were smaller than inter-individual variations for all polyphenols (P<0.01) except for MeGA and for PHLOR. CONCLUSION: These results show that these polyphenols and metabolites are useful biomarkers for polyphenol intake.
Authors: Qi Sun; Nicole M Wedick; Shelley S Tworoger; An Pan; Mary K Townsend; Aedin Cassidy; Adrian A Franke; Eric B Rimm; Frank B Hu; Rob M van Dam Journal: J Nutr Date: 2015-04-22 Impact factor: 4.687
Authors: Augustin Scalbert; Lorraine Brennan; Oliver Fiehn; Thomas Hankemeier; Bruce S Kristal; Ben van Ommen; Estelle Pujos-Guillot; Elwin Verheij; David Wishart; Suzan Wopereis Journal: Metabolomics Date: 2009-06-12 Impact factor: 4.290