William Mb Edmands1, Pietro Ferrari1, Joseph A Rothwell1, Sabina Rinaldi1, Nadia Slimani1, Dinesh K Barupal1, Carine Biessy1, Mazda Jenab1, Françoise Clavel-Chapelon2, Guy Fagherazzi2, Marie-Christine Boutron-Ruault2, Verena A Katzke3, Tilman Kühn3, Heiner Boeing4, Antonia Trichopoulou5, Pagona Lagiou6, Dimitrios Trichopoulos7, Domenico Palli8, Sara Grioni9, Rosario Tumino10, Paolo Vineis11, Amalia Mattiello12, Isabelle Romieu1, Augustin Scalbert13. 1. International Agency for Research on Cancer, Lyon, France; 2. French Institute of Health and Medical Research (Inserm), Centre for Research in Epidemiology and Population Health, U1018, Nutrition, Hormones and Women's Health Team, Villejuif, France; Université Paris Sud, UMRS 1018, Villejuif, France; Institut Gustave Roussy, Villejuif, France; 3. Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany; 4. German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; 5. Hellenic Health Foundation, Athens, Greece; Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece; Bureau of Epidemiologic Research, Academy of Athens, Athens, Greece; 6. Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece; Bureau of Epidemiologic Research, Academy of Athens, Athens, Greece; Department of Epidemiology, Harvard School of Public Health, Boston, MA; 7. Hellenic Health Foundation, Athens, Greece; Bureau of Epidemiologic Research, Academy of Athens, Athens, Greece; Department of Epidemiology, Harvard School of Public Health, Boston, MA; 8. Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute, Florence, Italy; 9. Epidemiology and Prevention Unit, Fondazione IRCCS, Istituto Nazionale dei Tumori, Milan, Italy; 10. Cancer Registry and Histopathology Unit, "Civic - M.P. Arezzo" Hospital, Provincial Health Unit Ragusa, Italy; 11. Medical Research Council, Public Health England Center for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom; HuGeF Foundation, Turin, Italy; and. 12. Department of Clinical Medicine and Surgery, Federico II University, Naples, Italy. 13. International Agency for Research on Cancer, Lyon, France; scalberta@iarc.fr.
Abstract
BACKGROUND: An improved understanding of the contribution of the diet to health and disease risks requires accurate assessments of dietary exposure in nutritional epidemiologic studies. The use of dietary biomarkers may improve the accuracy of estimates. OBJECTIVE: We applied a metabolomic approach in a large cohort study to identify novel biomarkers of intake for a selection of polyphenol-containing foods. The large chemical diversity of polyphenols and their wide distribution over many foods make them ideal biomarker candidates for such foods. DESIGN: Metabolic profiles were measured with the use of high-resolution mass spectrometry in 24-h urine samples from 481 subjects from the large European Prospective Investigation on Cancer and Nutrition cohort. Peak intensities were correlated to acute and habitual dietary intakes of 6 polyphenol-rich foods (coffee, tea, red wine, citrus fruit, apples and pears, and chocolate products) measured with the use of 24-h dietary recalls and food-frequency questionnaires, respectively. RESULTS: Correlation (r > 0.3, P < 0.01 after correction for multiple testing) and discriminant [pcorr (1) > 0.3, VIP > 1.5] analyses showed that >2000 mass spectral features from urine metabolic profiles were significantly associated with the consumption of the 6 selected foods. More than 80 polyphenol metabolites associated with the consumption of the selected foods could be identified, and large differences in their concentrations reflecting individual food intakes were observed within and between 4 European countries. Receiver operating characteristic curves showed that 5 polyphenol metabolites, which are characteristic of 5 of the 6 selected foods, had a high predicting ability of food intake. CONCLUSION: Highly diverse food-derived metabolites (the so-called food metabolome) can be characterized in human biospecimens through this powerful metabolomic approach and screened to identify novel biomarkers for dietary exposures, which are ultimately essential to better understand the role of the diet in the cause of chronic diseases.
BACKGROUND: An improved understanding of the contribution of the diet to health and disease risks requires accurate assessments of dietary exposure in nutritional epidemiologic studies. The use of dietary biomarkers may improve the accuracy of estimates. OBJECTIVE: We applied a metabolomic approach in a large cohort study to identify novel biomarkers of intake for a selection of polyphenol-containing foods. The large chemical diversity of polyphenols and their wide distribution over many foods make them ideal biomarker candidates for such foods. DESIGN: Metabolic profiles were measured with the use of high-resolution mass spectrometry in 24-h urine samples from 481 subjects from the large European Prospective Investigation on Cancer and Nutrition cohort. Peak intensities were correlated to acute and habitual dietary intakes of 6 polyphenol-rich foods (coffee, tea, red wine, citrus fruit, apples and pears, and chocolate products) measured with the use of 24-h dietary recalls and food-frequency questionnaires, respectively. RESULTS: Correlation (r > 0.3, P < 0.01 after correction for multiple testing) and discriminant [pcorr (1) > 0.3, VIP > 1.5] analyses showed that >2000 mass spectral features from urine metabolic profiles were significantly associated with the consumption of the 6 selected foods. More than 80 polyphenol metabolites associated with the consumption of the selected foods could be identified, and large differences in their concentrations reflecting individual food intakes were observed within and between 4 European countries. Receiver operating characteristic curves showed that 5 polyphenol metabolites, which are characteristic of 5 of the 6 selected foods, had a high predicting ability of food intake. CONCLUSION: Highly diverse food-derived metabolites (the so-called food metabolome) can be characterized in human biospecimens through this powerful metabolomic approach and screened to identify novel biomarkers for dietary exposures, which are ultimately essential to better understand the role of the diet in the cause of chronic diseases.
Authors: Jeremy P Koelmel; Nicholas M Kroeger; Emily L Gill; Candice Z Ulmer; John A Bowden; Rainey E Patterson; Richard A Yost; Timothy J Garrett Journal: J Am Soc Mass Spectrom Date: 2017-03-06 Impact factor: 3.109
Authors: Raul Zamora-Ros; Muath A Alghamdi; Valerie Cayssials; Silvia Franceschi; Martin Almquist; Joakim Hennings; Maria Sandström; Konstantinos K Tsilidis; Elisabete Weiderpass; Marie-Christine Boutron-Ruault; Bodil Hammer Bech; Kim Overvad; Anne Tjønneland; Kristina E N Petersen; Francesca Romana Mancini; Yahya Mahamat-Saleh; Fabrice Bonnet; Tilman Kühn; Renée T Fortner; Heiner Boeing; Antonia Trichopoulou; Christina Bamia; Georgia Martimianaki; Giovanna Masala; Sara Grioni; Salvatore Panico; Rosario Tumino; Francesca Fasanelli; Guri Skeie; Tonje Braaten; Cristina Lasheras; Elena Salamanca-Fernández; Pilar Amiano; Maria-Dolores Chirlaque; Aurelio Barricarte; Jonas Manjer; Peter Wallström; H Bas Bueno-de-Mesquita; Petra H Peeters; Kay-Thee Khaw; Nicholas J Wareham; Julie A Schmidt; Dagfinn Aune; Graham Byrnes; Augustin Scalbert; Antonio Agudo; Sabina Rinaldi Journal: Eur J Nutr Date: 2018-12-10 Impact factor: 5.614
Authors: Mary C Playdon; Regina G Ziegler; Joshua N Sampson; Rachael Stolzenberg-Solomon; Henry J Thompson; Melinda L Irwin; Susan T Mayne; Robert N Hoover; Steven C Moore Journal: Am J Clin Nutr Date: 2017-06-28 Impact factor: 7.045
Authors: Douglas I Walker; Col Timothy M Mallon; Philip K Hopke; Karan Uppal; Young-Mi Go; Patricia Rohrbeck; Kurt D Pennell; Dean P Jones Journal: J Occup Environ Med Date: 2016-08 Impact factor: 2.162