Novel multimetabolite prediction of walnut consumption by a urinary biomarker model in a free-living population: The predimed study

Journal of Proteome Research

Volumn 13, Issue 7, 2014, Pages 3476-3483

  Garcia Aloy, Mar ^a,b   Llorach, Rafael ^a,b   Urpi Sarda, Mireia ^a,b   Tulipani, Sara ^a,b,c   Estruch, Ramon ^d,e   Martínez González, Miguel A ^e,f   Corella, Dolores ^e,g   Fitó, Montserrat ^e,h   Ros, Emilio ^d,e   Salas Salvadó, Jordi ^e,i   Andres Lacueva, Cristina ^a,b  

^a UNIVERSITY OF BARCELONA   (Spain)

^b INGENIO CONSOLIDER Program   (Spain)

^c Biomedical Research Institute IBIMA Hospital Complex Virgen de la Victoria University of Málag   (Spain)

^d INSTITUT D INVESTIGACIONS BIOMÈDIQUES AUGUST PI I SUNYER IDIBAPS   (Spain)

^e INSTITUTO DE SALUD CARLOS III   (Spain)

^f UNIVERSITY OF NAVARRA   (Spain)

^g UNIVERSITY OF VALENCIA   (Spain)

^h HOSPITAL DEL MAR   (Spain)

ⁱ HOSPITAL UNIVERSITARI SANT JOAN DE REUS   (Spain)

Author keywords

biomarkers; HPLC q ToF MS; metabolic fingerprinting; nutrimetabolomics; walnuts

Indexed keywords

BIOLOGICAL MARKER; ELLAGITANNIN; FATTY ACID; SEROTONIN; TRYPTOPHAN;

AGED; ARTICLE; BODY MASS; DIETARY INTAKE; FATTY ACID METABOLISM; FEMALE; FOOD FREQUENCY QUESTIONNAIRE; HIGH PERFORMANCE LIQUID CHROMATOGRAPHY; HUMAN; MALE; MASS SPECTROMETRY; METABOLITE; PREDICTION; PRIORITY JOURNAL; SIGNAL TRANSDUCTION; URINALYSIS; UROGENITAL SYSTEM PARAMETERS; WALNUT; CARDIOVASCULAR DISEASES; MEDITERRANEAN DIET; METABOLISM; METABOLOME; MIDDLE AGED; RANDOMIZED CONTROLLED TRIAL (TOPIC); RECEIVER OPERATING CHARACTERISTIC; URINE; VERY ELDERLY;

AGED; AGED, 80 AND OVER; BIOLOGICAL MARKERS; CARDIOVASCULAR DISEASES; DIET, MEDITERRANEAN; FEMALE; HUMANS; JUGLANS; MALE; METABOLOME; MIDDLE AGED; RANDOMIZED CONTROLLED TRIALS AS TOPIC; ROC CURVE;

EID: 84903690553     PISSN: 15353893     EISSN: 15353907     Source Type: Journal    
DOI: 10.1021/pr500425r     Document Type: Article

References (48)

1. Bao, Y.; Han, J.; Hu, F. B.; Giovannucci, E. L.; Stampfer, M. J.; Willett, W. C.; Fuchs, C. S. Association of nut consumption with total and cause-specific mortality N. Engl. J. Med. 2013, 369 (21) 2001-11
2. Guasch-Ferre, M.; Bullo, M.; Martinez-Gonzalez, M. A.; Ros, E.; Corella, D.; Estruch, R.; Fito, M.; Aros, F.; Warnberg, J.; Fiol, M. Frequency of nut consumption and mortality risk in the PREDIMED nutrition intervention trial BMC Med. 2013, 11, 164
3. Fernández-Montero, A.; Bes-Rastrollo, M.; Barrio-López, M. T.; de la Fuente-Arrillaga, C.; Salas-Salvadó, J.; Moreno-Galarraga, L.; Martínez-González, M. A. Nut consumption and 5-year all-cause mortality in a Mediterranean cohort: The SUN Project. Nutrition 2014, 10.1016/j.nut.2014.02.018.
4. Sabate, J.; Oda, K.; Ros, E. Nut consumption and blood lipid levels: a pooled analysis of 25 intervention trials Arch. Intern. Med. 2010, 170 (9) 821-7
5. Ros, E.; Hu, F. B. Consumption of plant seeds and cardiovascular health: epidemiological and clinical trial evidence Circulation 2013, 128 (5) 553-65
6. Kris-Etherton, P. M. Walnuts decrease risk of cardiovascular disease: a summary of efficacy and biologic mechanisms J. Nutr. 2014, 144 (4) 547S-54S
7. Ros, E.; Mataix, J. Fatty acid composition of nuts - implications for cardiovascular health Br. J. Nutr. 2006, 96 (Suppl 2) S29-35
8. Segura, R.; Javierre, C.; Lizarraga, M. A.; Ros, E. Other relevant components of nuts: phytosterols, folate and minerals Br. J. Nutr. 2006, 96 (Suppl 2) S36-44
9. Bach-Faig, A.; Berry, E. M.; Lairon, D.; Reguant, J.; Trichopoulou, A.; Dernini, S.; Medina, F. X.; Battino, M.; Belahsen, R.; Miranda, G. Mediterranean diet pyramid today. Science and cultural updates Public Health Nutr. 2011, 14 (12A) 2274-84
10. U.S. Department of Agriculture; U.S. Departmentof Healthand Human Services; Dietary Guidelines for Americans. U.S. Government Printing Office: Washington, DC, 2010. http://www.health.gov/dietaryguidelines/dga2010/ DietaryGuidelines2010.pdf (accessed Jan 3, 2014).
11. Mithril, C.; Dragsted, L. O.; Meyer, C.; Tetens, I.; Biltoft-Jensen, A.; Astrup, A. Dietary composition and nutrient content of the New Nordic Diet Public Health Nutr. 2013, 16 (5) 777-85
12. U.S. Department of Health and Human Services. Your Guideto Lowering Your Blood Pressure with DASH, (2006. http://www.nhlbi.nih.gov/health/public/heart/ hbp/dash/new-dash.pdf (accessed Jan 3, 2014).
13. Jenab, M.; Slimani, N.; Bictash, M.; Ferrari, P.; Bingham, S. A. Biomarkers in nutritional epidemiology: applications, needs and new horizons Hum. Genet. 2009) 125 (5-6) 507-25
14. Llorach, R.; Garcia-Aloy, M.; Tulipani, S.; Vazquez-Fresno, R.; Andres-Lacueva, C. Nutrimetabolomic strategies to develop new biomarkers of intake and health effects J. Agric. Food Chem. 2012, 60 (36) 8797-808
15. Scalbert, A.; Brennan, L.; Manach, C.; Andres-Lacueva, C.; Dragsted, L. O.; Draper, J.; Rappaport, S. M.; Van der Hooft, J. J.; Wishart, D. The food metabolome: a window over dietary exposure Am. J. Clin. Nutr. 2014, 99 (6) 1286-308
16. Chanock, S. J.; Manolio, T.; Boehnke, M.; Boerwinkle, E.; Hunter, D. J.; Thomas, G.; Hirschhorn, J. N.; Abecasis, G.; Altshuler, D.; Bailey-Wilson, J. E. Replicating genotype-phenotype associations Nature 2007, 447 (7145) 655-60
17. Jenab, M.; Sabate, J.; Slimani, N.; Ferrari, P.; Mazuir, M.; Casagrande, C.; Deharveng, G.; Tjonneland, A.; Olsen, A.; Overvad, K. Consumption and portion sizes of tree nuts, peanuts and seeds in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohorts from 10 European countries Br. J. Nutr. 2006, 96 (Suppl 2) S12-23
18. Tulipani, S.; Llorach, R.; Jauregui, O.; Lopez-Uriarte, P.; Garcia-Aloy, M.; Bullo, M.; Salas-Salvado, J.; Andres-Lacueva, C. Metabolomics unveils urinary changes in subjects with metabolic syndrome following 12-week nut consumption J. Proteome Res. 2011, 10 (11) 5047-58
19. Martinez-Gonzalez, M. A.; Corella, D.; Salas-Salvado, J.; Ros, E.; Covas, M. I.; Fiol, M.; Warnberg, J.; Aros, F.; Ruiz-Gutierrez, V.; Lamuela-Raventos, R. M. Cohort profile: design and methods of the PREDIMED study Int. J. Epidemiol. 2012, 41 (2) 377-85
20. Fernandez-Ballart, J. D.; Pinol, J. L.; Zazpe, I.; Corella, D.; Carrasco, P.; Toledo, E.; Perez-Bauer, M.; Martinez-Gonzalez, M. A.; Salas-Salvado, J.; Martin-Moreno, J. M. Relative validity of a semi-quantitative food-frequency questionnaire in an elderly Mediterranean population of Spain Br. J. Nutr. 2010, 103 (12) 1808-16
21. Llorach, R.; Urpi-Sarda, M.; Jauregui, O.; Monagas, M.; Andres-Lacueva, C. An LC-MS-based metabolomics approach for exploring urinary metabolome modifications after cocoa consumption J. Proteome Res. 2009, 8 (11) 5060-8
22. Llorach-Asuncion, R.; Jauregui, O.; Urpi-Sarda, M.; Andres-Lacueva, C. Methodological aspects for metabolome visualization and characterization: a metabolomic evaluation of the 24 h evolution of human urine after cocoa powder consumption J. Pharm. Biomed. Anal. 2010, 51 (2) 373-81
23. Pujos-Guillot, E.; Hubert, J.; Martin, J. F.; Lyan, B.; Quintana, M.; Claude, S.; Chabanas, B.; Rothwell, J. A.; Bennetau-Pelissero, C.; Scalbert, A. Mass spectrometry-based metabolomics for the discovery of biomarkers of fruit and vegetable intake: citrus fruit as a case study J. Proteome Res. 2013, 12 (4) 1645-59
24. Bryan, K.; Brennan, L.; Cunningham, P. MetaFIND: A feature analysis tool for metabolomics data BMC Bioinformatics. 2008, 9 (1) 470
25. Wishart, D. S.; Jewison, T.; Guo, A. C.; Wilson, M.; Knox, C.; Liu, Y.; Djoumbou, Y.; Mandal, R.; Aziat, F.; Dong, E. HMDB 3.0-The Human Metabolome Database in 2013 Nucleic Acids Res. 2013, 41 (Database issue) D801-7
26. Fahy, E.; Sud, M.; Cotter, D.; Subramaniam, S. LIPID MAPS online tools for lipid research Nucleic Acids Res. 2007, 35 (Web Server issue) W606-12
27. Wolf, S.; Schmidt, S.; Muller-Hannemann, M.; Neumann, S. In silico fragmentation for computer assisted identification of metabolite mass spectra BMC Bioinf. 2010, 11, 148
28. Robin, X.; Turck, N.; Hainard, A.; Tiberti, N.; Lisacek, F.; Sanchez, J. C.; Muller, M. pROC: an open-source package for R and S+ to analyze and compare ROC curves BMC Bioinf. 2011, 12, 77
29. Xia, J.; Broadhurst, D. I.; Wilson, M.; Wishart, D. S. Translational biomarker discovery in clinical metabolomics: an introductory tutorial Metabolomics 2013, 9 (2) 280-99
30. Sumner, L. W.; Amberg, A.; Barrett, D.; Beale, M. H.; Beger, R.; Daykin, C. A.; Fan, T. W.; Fiehn, O.; Goodacre, R.; Griffin, J. L. Proposed minimum reporting standards for chemical analysis Chemical Analysis Working Group (CAWG) Metabolomics Standards Initiative (MSI) Metabolomics 2007, 3 (3) 211-21
31. Dong, H.; Zhang, A.; Sun, H.; Wang, H.; Lu, X.; Wang, M.; Ni, B.; Wang, X. Ingenuity pathways analysis of urine metabolomics phenotypes toxicity of Chuanwu in Wistar rats by UPLC-Q-TOF-HDMS coupled with pattern recognition methods Mol. Biosyst. 2012, 8 (4) 1206-21
32. Spencer, J. P.; Abd El Mohsen, M. M.; Minihane, A. M.; Mathers, J. C. Biomarkers of the intake of dietary polyphenols: strengths, limitations and application in nutrition research Br. J. Nutr. 2008, 99 (1) 12-22
33. Zamora-Ros, R.; Rabassa, M.; Cherubini, A.; Urpi-Sarda, M.; Llorach, R.; Bandinelli, S.; Ferrucci, L.; Andres-Lacueva, C. Comparison of 24-h volume and creatinine-corrected total urinary polyphenol as a biomarker of total dietary polyphenols in the Invecchiare InCHIANTI study Anal. Chim. Acta 2011, 704 (1-2) 110-5
34. Potischman, N. Biologic and methodologic issues for nutritional biomarkers J. Nutr. 2003, 133 (Suppl 3) 875S-80S
35. Garcia-Munoz, C.; Vaillant, F. Metabolic fate of ellagitannins: implications for health, and research perspectives for innovative functional foods Crit. Rev. Food Sci. Nutr. 2014, 54 (12) 1584-98
36. Espin, J. C.; Larrosa, M.; Garcia-Conesa, M. T.; Tomas-Barberan, F. Biological significance of urolithins, the gut microbial ellagic acid-derived metabolites: The evidence so far J. Evidence-Based Complementary Altern. Med. 2013, 10.1155/2013/270418
37. Feldman, J. M.; Lee, E. M. Serotonin content of foods: effect on urinary excretion of 5-hydroxyindoleacetic acid Am. J. Clin. Nutr. 1985, 42 (4) 639-43
38. Byrd, D. J.; Kochen, W.; Idzko, D.; Knorr, E. The analysis of indolic tryptophan metabolites in human urine. Thin-layer chromatography and in situ quantitation J. Chromatogr. 1974, 94 (0) 85-106
39. Magnus, V.; Simaga, S.; Iskric, S.; Kveder, S. Metabolism of tryptophan, indole-3-acetic acid, and related compounds in parasitic plants from the genus Orobanche Plant Physiol. 1982, 69 (4) 853-8
40. Keszthelyi, D.; Troost, F. J.; Masclee, A. A. Understanding the role of tryptophan and serotonin metabolism in gastrointestinal function Neurogastroenterol. Motil. 2009, 21 (12) 1239-49
41. Wikoff, W. R.; Anfora, A. T.; Liu, J.; Schultz, P. G.; Lesley, S. A.; Peters, E. C.; Siuzdak, G. Metabolomics analysis reveals large effects of gut microflora on mammalian blood metabolites Proc. Natl. Acad. Sci. U.S.A. 2009, 106 (10) 3698-703
42. Roux, A.; Xu, Y.; Heilier, J. F.; Olivier, M. F.; Ezan, E.; Tabet, J. C.; Junot, C. Annotation of the human adult urinary metabolome and metabolite identification using ultra high performance liquid chromatography coupled to a linear quadrupole ion trap-Orbitrap mass spectrometer Anal. Chem. 2012, 84 (15) 6429-37
43. Perez-Jimenez, J.; Hubert, J.; Hooper, L.; Cassidy, A.; Manach, C.; Williamson, G.; Scalbert, A. Urinary metabolites as biomarkers of polyphenol intake in humans: a systematic review Am. J. Clin. Nutr. 2010, 92 (4) 801-9
44. Altorf-van der Kuil, W.; Brink, E. J.; Boetje, M.; Siebelink, E.; Bijlsma, S.; Engberink, M. F.; van t Veer, P.; Tome, D.; Bakker, S. J.; van Baak, M. A. Identification of biomarkers for intake of protein from meat, dairy products and grains: a controlled dietary intervention study Br. J. Nutr. 2013, 110 (5) 810-22
45. Segovia-Siapco, G.; Singh, P.; Jaceldo-Siegl, K.; Sabate, J. Validation of a food-frequency questionnaire for measurement of nutrient intake in a dietary intervention study Public Health Nutr. 2007, 10 (2) 177-84
46. U.S. Food and Drug Administration Guidance for industry: evidence-based review system for the scientific evaluation of health claims. http://www.fda.gov/food/guidanceregulation/ guidancedocumentsregulatoryinformation/labelingnutrition/ucm073332.htm (accessed Mar 06, 2014).
47. Joint Programming Initiative Strategic Research Agenda 2012-2020and beyond. http://www.healthydietforhealthylife.eu/images/documents/jpi-sra.pdf (accessed Mar 06, 2014).
48. Zamora-Ros, R.; Rabassa, M.; Llorach, R.; Gonzalez, C. A.; Andres-Lacueva, C. Application of dietary phenolic biomarkers in epidemiology: past, present, and future J. Agric. Food Chem. 2012, 60 (27) 6648-57.