Skip to main content Accessibility help
×
Home

Evaluation of urinary resveratrol as a biomarker of dietary resveratrol intake in the European Prospective Investigation into Cancer and Nutrition (EPIC) study

  • Raul Zamora-Ros (a1), Joseph A. Rothwell (a2), David Achaintre (a2), Pietro Ferrari (a2), Marie-Christine Boutron-Ruault (a3) (a4), Francesca R. Mancini (a3) (a4), Aurelie Affret (a3) (a4), Tilman Kühn (a5), Verena Katzke (a5), Heiner Boeing (a6), Sven Küppel (a6), Antonia Trichopoulou (a7) (a8), Pagona Lagiou (a7) (a8) (a9), Carlo La Vecchia (a7) (a10), Domenico Palli (a11), Paolo Contiero (a12), Salvatore Panico (a13), Rosario Tumino (a14), Fulvio Ricceri (a15) (a16), Hwayoung Noh (a2), Heinz Freisling (a2), Isabelle Romieu (a2) and Augustin Scalbert (a2)...

Abstract

In vitro studies have shown several beneficial properties of resveratrol. Epidemiological evidence is still scarce, probably because of the difficulty in estimating resveratrol exposure accurately. The current study aimed to assess the relationships between acute and habitual dietary resveratrol and wine intake and urinary resveratrol excretion in a European population. A stratified random subsample of 475 men and women from four countries participating in the European Prospective Investigation into Cancer and Nutrition (EPIC) cross-sectional study, who had provided 24-h urine samples and completed a 24-h dietary recall (24-HDR) on the same day, were included. Acute and habitual dietary data were collected using standardised 24-HDR software and a validated country-specific dietary questionnaire, respectively. Phenol-Explorer was used to estimate the intake of resveratrol and other stilbenes. Urinary resveratrol was analysed using tandem MS. Spearman’s correlation coefficients between estimated dietary intakes of resveratrol and other stilbenes and consumption of wine, their main food source, were very high (r>0·9) when measured using dietary questionnaires and were slightly lower with 24-HDR (r>0·8). Partial Spearman’s correlations between urinary resveratrol excretion and intake of resveratrol, total stilbenes or wine were found to be higher when using the 24-HDR (R 2 partial approximately 0·6) than when using the dietary questionnaires (R 2 partial approximately 0·5). Moderate to high correlations between dietary resveratrol, total stilbenes and wine, and urinary resveratrol concentrations were observed. These support the earlier findings that 24-h urinary resveratrol is an effective biomarker of both resveratrol and wine intakes. These correlations also support the validity of the estimation of resveratrol intake using the dietary questionnaire and Phenol-Explorer.

  • View HTML
    • Send article to Kindle

      To send this article to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle. Find out more about sending to your Kindle.

      Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

      Find out more about the Kindle Personal Document Service.

      Evaluation of urinary resveratrol as a biomarker of dietary resveratrol intake in the European Prospective Investigation into Cancer and Nutrition (EPIC) study
      Available formats
      ×

      Send article to Dropbox

      To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Dropbox.

      Evaluation of urinary resveratrol as a biomarker of dietary resveratrol intake in the European Prospective Investigation into Cancer and Nutrition (EPIC) study
      Available formats
      ×

      Send article to Google Drive

      To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Google Drive.

      Evaluation of urinary resveratrol as a biomarker of dietary resveratrol intake in the European Prospective Investigation into Cancer and Nutrition (EPIC) study
      Available formats
      ×

Copyright

Corresponding author

* Corresponding author: Dr R. Zamora-Ros, email rzamora@iconcologia.net

References

Hide All
1. Baur, JA & Sinclair, DA (2006) Therapeutic potential of resveratrol: the in vivo evidence. Nat Rev Drug Discov 5, 493506.
2. Tome-Carneiro, J, Larrosa, M, Gonzalez-Sarrias, A, et al. (2013) Resveratrol and clinical trials: the crossroad from in vitro studies to human evidence. Curr Pharm Des 19, 60646093.
3. Rabassa, M, Zamora-Ros, R, Urpi-Sarda, M, et al. (2015) Resveratrol metabolite profiling in clinical nutrition research-from diet to uncovering disease risk biomarkers: epidemiological evidence. Ann N Y Acad Sci 1348, 107115.
4. Zamora-Ros, R, Andres-Lacueva, C, Lamuela-Raventos, RM, et al. (2008) Concentrations of resveratrol and derivatives in foods and estimation of dietary intake in a Spanish population: European Prospective Investigation into Cancer and Nutrition (EPIC)-Spain cohort. Br J Nutr 100, 188196.
5. Neveu, V, Perez-Jimenez, J, Vos, F, et al. (2010) Phenol-Explorer: an online comprehensive database on polyphenol contents in foods. Database (Oxford) 2010, bap024.
6. Hurst, WJ, Glinski, JA, Miller, KB, et al. (2008) Survey of the trans-resveratrol and trans-piceid content of cocoa-containing and chocolate products. J Agric Food Chem 56, 83748378.
7. Chiva-Blanch, G, Urpi-Sarda, M, Rotches-Ribalta, M, et al. (2011) Determination of resveratrol and piceid in beer matrices by solid-phase extraction and liquid chromatography-tandem mass spectrometry. J Chromatogr A 1218, 698705.
8. Ragab, AS, Van, FJ, Jankowski, B, et al. (2006) Detection and quantitation of resveratrol in tomato fruit (Lycopersicon esculentum Mill.). J Agric Food Chem 54, 71757179.
9. Farneti, B, Masuero, D, Costa, F, et al. (2015) Is there room for improving the nutraceutical composition of apple? J Agric Food Chem 63, 27502759.
10. Zamora-Ros, R, Knaze, V, Rothwell, JA, et al. (2015) Dietary polyphenol intake in Europe: the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Eur J Nutr 55, 13591375.
11. Walle, T, Hsieh, F, DeLegge, MH, et al. (2004) High absorption but very low bioavailability of oral resveratrol in humans. Drug Metab Dispos 32, 13771382.
12. Lin, HS, Tringali, C, Spatafora, C, et al. (2010) A simple and sensitive HPLC-UV method for the quantification of piceatannol analog trans-3,5,3',4'-tetramethoxystilbene in rat plasma and its application for a pre-clinical pharmacokinetic study. J Pharm Biomed Anal 51, 679684.
13. Willenberg, I, Michael, M, Wonik, J, et al. (2015) Investigation of the absorption of resveratrol oligomers in the Caco-2 cellular model of intestinal absorption. Food Chem 167, 245250.
14. Rothwell, JA, Urpi-Sarda, M, Boto-Ordonez, M, et al. (2012) Phenol-Explorer 2.0: a major update of the Phenol-Explorer database integrating data on polyphenol metabolism and pharmacokinetics in humans and experimental animals. Database (Oxford) 2012, bas031.
15. Sieri, S, Agudo, A, Kesse, E, et al. (2002) Patterns of alcohol consumption in 10 European countries participating in the European Prospective Investigation into Cancer and Nutrition (EPIC) project. Public Health Nutr 5, 12871296.
16. Zamora-Ros, R, Urpi-Sarda, M, Lamuela-Raventos, RM, et al. (2006) Diagnostic performance of urinary resveratrol metabolites as a biomarker of moderate wine consumption. Clin Chem 52, 13731380.
17. Zamora-Ros, R, Urpi-Sarda, M, Lamuela-Raventos, RM, et al. (2009) Resveratrol metabolites in urine as a biomarker of wine intake in free-living subjects: the PREDIMED Study. Free Radic Biol Med 46, 15621566.
18. Semba, RD, Ferrucci, L, Bartali, B, et al. (2014) Resveratrol levels and all-cause mortality in older community-dwelling adults. JAMA Intern Med 174, 10771084.
19. Edmands, WM, Ferrari, P, Rothwell, JA, et al. (2015) Polyphenol metabolome in human urine and its association with intake of polyphenol-rich foods across European countries. Am J Clin Nutr 102, 905913.
20. Zamora-Ros, R, Achaintre, D, Rothwell, JA, et al. (2016) Urinary excretions of 34 dietary polyphenols and their associations with lifestyle factors in the EPIC cohort study. Sci Rep 6, 26905.
21. Riboli, E & Kaaks, R (1997) The EPIC Project: rationale and study design. European Prospective Investigation into Cancer and Nutrition. Int J Epidemiol 26, Suppl. 1, S6S14.
22. Slimani, N, Ferrari, P, Ocke, M, et al. (2000) Standardization of the 24-hour diet recall calibration method used in the European Prospective Investigation into Cancer and Nutrition (EPIC): general concepts and preliminary results. Eur J Clin Nutr 54, 900917.
23. Margetts, BM & Pietinen, P (1997) European Prospective Investigation into Cancer and Nutrition: validity studies on dietary assessment methods. Int J Epidemiol 26, Suppl. 1, S1S5.
24. Slimani, N, Kaaks, R, Ferrari, P, et al. (2002) European Prospective Investigation into Cancer and Nutrition (EPIC) calibration study: rationale, design and population characteristics. Public Health Nutr 5, 11251145.
25. Slimani, N, Deharveng, G, Unwin, I, et al. (2007) The EPIC nutrient database project (ENDB): a first attempt to standardize nutrient databases across the 10 European countries participating in the EPIC study. Eur J Clin Nutr 61, 10371056.
26. Wareham, NJ, Jakes, RW, Rennie, KL, et al. (2003) Validity and repeatability of a simple index derived from the short physical activity questionnaire used in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Public Health Nutr 6, 407413.
27. Slimani, N, Bingham, S, Runswick, S, et al. (2003) Group level validation of protein intakes estimated by 24-hour diet recall and dietary questionnaires against 24-hour urinary nitrogen in the European Prospective Investigation into Cancer and Nutrition (EPIC) calibration study. Cancer Epidemiol Biomarkers Prev 12, 784795.
28. Achaintre, D, Bulete, A, Cren-Olive, C, et al. (2016) Differential isotope labelling of 38 dietary polyphenols and their quantification in urine by liquid chromatography/electrospray ionization tandem mass spectrometry. Anal Chem 88, 26372644.
29. Rotches-Ribalta, M, Andres-Lacueva, C, Estruch, R, et al. (2012) Pharmacokinetics of resveratrol metabolic profile in healthy humans after moderate consumption of red wine and grape extract tablets. Pharmacol Res 66, 375382.
30. Lamuela-Raventós, R, Romero-Pérez, A, Waterhouse, A, et al. (1995) Direct HPLC analysis of cis- and trans-resveratrol and piceic isomers in Spanish red Vitis vinifera wines. J Agric Food Chem 43, 281283.
31. Noh, H, Freisling, H, Assi, N, et al. (2017) Profiles of urinary polypenol metabolites associated with polyphenol-rich food intake in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Nutrients (In the Press).
32. Boocock, DJ, Faust, GE, Patel, KR, et al. (2007) Phase I dose escalation pharmacokinetic study in healthy volunteers of resveratrol, a potential cancer chemopreventive agent. Cancer Epidemiol Biomarkers Prev 16, 12461252.
33. Zamora-Ros, R, Touillaud, M, Rothwell, JA, et al. (2014) Measuring exposure to the polyphenol metabolome in observational epidemiologic studies: current tools and applications and their limits. Am J Clin Nutr 100, 1126.

Keywords

Type Description Title
WORD
Supplementary materials

Zamora-Ros supplementary material
Table S1

 Word (16 KB)
16 KB

Metrics

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Abstract views

Total abstract views: 0 *
Loading metrics...

* Views captured on Cambridge Core between <date>. This data will be updated every 24 hours.

Usage data cannot currently be displayed