Validation of biomarkers of food intake-Critical assessment of candidate biomarkers

Genes and Nutrition

Volumn 13, Issue 1, 2018, Pages

  Dragsted, L O ^a   Gao, Q ^a   Scalbert, A ^b   Vergeres G ^c   Kolehmainen, M ^d   Manach, C ^e   Brennan, L ^f   Afman, L A ^g   Wishart, D S ^h   Andres Lacueva, C ^i,j   Garcia Aloy, M ^i,j   Verhagen, H ^k,l   Feskens, E J M ^g   Pratico G ^a  

^a UNIVERSITY OF COPENHAGEN   (Denmark)

^b INTERNATIONAL AGENCY FOR RESEARCH ON CANCER   (France)

^c AGROSCOPE   (Switzerland)

^d UNIVERSITY OF EASTERN FINLAND   (Finland)

^e INRA and University of Auvergne   (France)

^f UNIVERSITY COLLEGE DUBLIN   (Ireland)

^g WAGENINGEN UNIVERSITY   (Netherlands)

^h UNIVERSITY OF ALBERTA   (Canada)

ⁱ UNIVERSITY OF BARCELONA   (Spain)

^j Unidad de Gestión Clínica de Laboratorios Clínicos   (Spain)

^k EUROPEAN FOOD SAFETY AUTHORITY   (Italy)

^l UNIVERSITY OF ULSTER   (United Kingdom)

more..

Author keywords

Assessment of food intake; Biomarker; Metabolomics; Nutrition; Review; Validation

Indexed keywords

BIOLOGICAL MARKER;

ALLIUM; DIETARY COMPLIANCE; FOOD ANALYSIS; FOOD COMPOSITION; FOOD INTAKE; FOOD PROCESSING; FOOD STORAGE; HUMAN; METABOLOMICS; NONHUMAN; NUTRITIONAL ASSESSMENT; REVIEW; VALIDATION STUDY;

EID: 85047833408     PISSN: 15558932     EISSN: 18653499     Source Type: Journal    
DOI: 10.1186/s12263-018-0603-9     Document Type: Review

References (91)

1. Bingham SA, Gill C, Welch A, Day K, Cassidy A, Khaw KT, et al. Comparison of dietary assessment methods in nutritional epidemiology: weighed records v. 24 h recalls, food-frequency questionnaires and estimated-diet records. Br J Nutr. 1994;72:619-43.
2. Kipnis V, Midthune D, Freedman L, Bingham S, Day NE, Riboli E, et al. Bias in dietary-report instruments and its implications for nutritional epidemiology. Public Health Nutr. 2002;5:915-23.
3. Neuhouser ML, Tinker L, Shaw PA, Schoeller D, Bingham SA, Van Horn L, et al. Use of recovery biomarkers to calibrate nutrient consumption self-reports in the Women's Health Initiative. Am J Epidemiol. 2008;167:1247-59.
4. Gao Q, Praticò G, Scalbert A, Vergères G, Kolehmainen M, Manach C, et al. A scheme for a flexible classification of dietary and health biomarkers. Genes Nutr. 2017;12:34.
5. Praticò G, Gao Q, Scalbert A, Vergères G, Kolehmainen M, Manach C, et al. Guidelines for food intake biomarker reviews (BFIRev): how to conduct an extensive literature search for food intake biomarker discovery. Genes Nutr. 2018;13:3.
6. Cuadros-Rodríguez L, Bagur-González MG, Sánchez-Viñas M, González-Casado A, Gómez-Sáez AM. Principles of analytical calibration/quantification for the separation sciences. J Chromatogr A. 2007;1158:33-46.
7. Aggett PJ, Antoine J-M, Asp N-G, Bellisle F, Contor L, Cummings JH, et al. PASSCLAIM: process for the assessment of scientific support for claims on foods. Eur J Nutr. 2005;44:I1-12.
8. de Vries J, Antoine JM, Burzykowski T, Chiodini A, Gibney M, Kuhnle G, et al. Markers for nutrition studies: review of criteria for the evaluation of markers. Eur J Nutr. 2013;52:1685-99.
9. Scalbert A, Brennan L, Manach C, Andres-Lacueva C, Dragsted LO, Draper J, et al. The food metabolome: a window over dietary exposure. Am J Clin Nutr. 2014;99:1286-308.
10. Potischman N. Biologic and methodologic issues for nutritional biomarkers. J Nutr. 2003;133(Suppl):875S-80S.
11. Marshall JR. Methodologic and statistical considerations regarding use of biomarkers of nutritional exposure in epidemiology. J Nutr. 2003;133:881S-7S.
12. Jenab M, Slimani N, Bictash M, Ferrari P, Bingham SA. Biomarkers in nutritional epidemiology: applications, needs and new horizons. Hum Genet. 2009;125:507-25.
13. Blanck HM, Bowman BA, Cooper GR, Myers L, Miller DT. Laboratory issues: use of nutritional biomarkers. J Nutr. 2003;133:888S-94S.
14. Gibson RS. Validity in dietary assessment methods. In: Principles of nutritional assessment. 2nd ed. New York: Oxford University Press; 2005. p. 149-96.
15. Dragsted LO. Biomarkers of meat intake and the application of nutrigenomics. Meat Sci. 2010;84:301-7.
16. Vázquez-Fresno R, Llorach R, Urpi-Sarda M, Lupianez-Barbero A, Estruch R, Corella D, et al. Metabolomic pattern analysis after mediterranean diet intervention in a nondiabetic population: a 1- and 3-year follow-up in the PREDIMED study. J Proteome Res. 2015;14:531-40.
17. Kalow W. Variability of caffeine metabolism in humans. Arzneimittelforschung. 1985;35:319-24.
18. Han XM, Ou-Yang DS, Lu PX, Jiang CH, Shu Y, Chen XP, et al. Plasma caffeine metabolite ratio (17X/137X) in vivo associated with G-2964A and C734A polymorphisms of human CYP1A2. Pharmacogenetics. 2001;11:429-35.
19. Rybak ME, Sternberg MR, Pao C-I, Ahluwalia N, Pfeiffer CM. Urine excretion of caffeine and select caffeine metabolites is common in the US population and associated with caffeine intake. J Nutr. 2015;145:766-74.
20. Ross AB. Present status and perspectives on the use of alkylresorcinols as biomarkers of wholegrain wheat and rye intake. J Nutr Metab. 2012;2012:462967.
21. Landberg R, Kamal-Eldin A, Andersson A, Vessby B, Åman P. Alkylresorcinols as biomarkers of whole-grain wheat and rye intake: plasma concentration and intake estimated from dietary records. Am J Clin Nutr. 2008;87:832-8.
22. Heinzmann SS, Brown IJ, Chan Q, Bictash M, Dumas M-E, Kochhar S, et al. Metabolic profiling strategy for discovery of nutritional biomarkers: proline betaine as a marker of citrus consumption. Am J Clin Nutr. 2010;92:436-43.
23. Manach C, Brennan L, Dragsted LO. Using metabolomics to evaluate food intake: applications in nutritional epidemiology. In: Sebedio J-L, Brennan L, editors. Metabolomics as a tool in nutrition research. Oxford: Elsevier; 2014. p. 167-96. https://doi.org/10.1016/B978-1-78242-084-2.00009-5.
24. O'Callaghan TF, Mannion DT, Hennessy D, McAuliffe S, O'Sullivan MG, Leeuwendaal N, et al. Effect of pasture versus indoor feeding systems on quality characteristics, nutritional composition, and sensory and volatile properties of full-fat Cheddar cheese. J Dairy Sci. 2017;100:1-21.
25. Sun Q, Bertrand KA, Franke AA, Rosner B, Curhan GC, Willett WC. Reproducibility of urinary biomarkers in multiple 24-h urine samples. Am J Clin Nutr. 2016;105:159-68.
26. Gürdeniz G, Jensen MG, Meier S, Bech L, Lund E, Dragsted LO. Detecting beer intake by unique metabolite patterns. J Proteome Res. 2016;15:4544-56.
27. Re R, Mishra GD, Thane CW, Bates CJ. Tomato consumption and plasma lycopene concentration in people aged 65 y and over in a British national survey. Eur J Clin Nutr. 2003;57:1545-54.
28. Parker RS. Absorption, metabolism, and transport of carotenoids. FASEB J. 1996;10:542-51.
29. Cross AJ, Major JM, Sinha R. Urinary biomarkers of meat consumption. Cancer Epidemiol Biomark Prev. 2011;20:1107-11.
30. Myint T, Fraser GE, Lindsted KD, Knutsen SF, Hubbard RW, Bennett HW. Urinary 1-methylhistidine is a marker of meat consumption in Black and in White California Seventh-day Adventists. Am J Epidemiol. 2000;152:752-5.
31. Cheung W, Keski-Rahkonen P, Assi N, Ferrari P, Freisling H, Rinaldi S, et al. A metabolomic study on biomarkers of meat and fish intake. Am J Clin Nutr. 2017;105:600-8.
32. Cerdá B, Periago P, Espín JC, Tomás-Barberán FA. Identification of urolithin A as a metabolite produced by human colon microflora from ellagic acid and related compounds. J Agric Food Chem. 2005;53:5571-6.
33. Cerdá B, Tomás-Barberán FA, Espín JC. Metabolism of antioxidant and chemopreventive ellagitannins from strawberries, raspberries, walnuts, and oak-aged wine in humans: identification of biomarkers and individual variability. J Agric Food Chem. 2005;53:227-35.
34. Seeram NP, Henning SM, Zhang Y, Suchard M, Li Z, Heber D. Pomegranate juice ellagitannin metabolites are present in human plasma and some persist in urine for up to 48 hours. J Nutr. 2006;136:2481-5.
35. Mertens-Talcott SU, Jilma-Stohlawetz P, Rios J, Hingorani L, Derendorf H. Absorption, metabolism, and antioxidant effects of pomegranate (Punica granatum L.) polyphenols after ingestion of a standardized extract in healthy human volunteers. J Agric Food Chem. 2006;54:8956-61.
36. Kintz P. 2014 Consensus for the use of alcohol markers in hair for assessment of both abstinence and chronic excessive alcohol consumption. Forensic Sci Int. 2015;249:A1-2.
37. Pragst F, Rothe M, Moench B, Hastedt M, Herre S, Simmert D. Combined use of fatty acid ethyl esters and ethyl glucuronide in hair for diagnosis of alcohol abuse: interpretation and advantages. Forensic Sci Int. 2010;196:101-10.
38. Amiano P, Dorronsoro M, De Renobales M, Ruiz De Gordoa J, Irigoien I. Very-long-chain ω-3 fatty acids as markers for habitual fish intake in a population consuming mainly lean fish: the EPIC cohort of Gipuzkoa. Eur J Clin Nutr. 2001;55:827-32.
39. Patterson AC, Metherel AH, Hanning RM, Stark KD. The percentage of DHA in erythrocytes can detect non-adherence to advice to increase EPA and DHA intakes. Br J Nutr. 2014;111:270-8.
40. Munday R. Harmful and beneficial effects of organic monosulfides, disulfides, and polysulfides in animals and humans. Chem Res Toxicol. 2012;25:47-60.
41. Andersen M-BS, Rinnan Å, Manach C, Poulsen SK, Pujos-Guillot E, Larsen TM, et al. Untargeted metabolomics as a screening tool for estimating compliance to a dietary pattern. J Proteome Res. 2014;13:1405-18.
42. Pujos-Guillot E, Hubert J, Martin JF, Lyan B, Quintana M, Claude S, et al. Mass spectrometry-based metabolomics for the discovery of biomarkers of fruit and vegetable intake: citrus fruit as a case study. J Proteome Res. 2013;12:1645-59.
43. Andersen M-BS, Kristensen M, Manach C, Pujos-Guillot E, Poulsen SK, Larsen TM, et al. Discovery and validation of urinary exposure markers for different plant foods by untargeted metabolomics. Anal Bioanal Chem. 2014;406:1829-44.
44. Schoeller DA. A novel carbon isotope biomarker for dietary sugar. J Nutr. 2013;143:763-5.
45. Jahren AH, Bostic JN, Davy BM. The potential for a carbon stable isotope biomarker of dietary sugar intake. J Anal At Spectrom. 2014;29:795-816.
46. Katan MB, Grundy SM, Jones P, Law M, Miettinen T, Paoletti R. Efficacy and safety of plant stanols and sterols in the management of blood cholesterol levels. Mayo Clin Proc. 2003;78:965-78.
47. Plat J, Mensink RP. Effects of diets enriched with two different plant stanol ester mixtures on plasma ubiquinol-10 and fat-soluble antioxidant concentrations. Metabolism. 2001;50:520-9.
48. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Int J Nurs Stud. 2010;47:931-6.
49. Passing H, Bablok W. A new biometrical procedure for testing the equality of measurements from two different analytical methods. Clin Chem Lab Med. 1983;21:709-20.
50. Neveu V, Moussy A, Rouaix H, Wedekind R, Pon A, Knox C, et al. Exposome-Explorer: a manually-curated database on biomarkers of exposure to dietary and environmental factors. Nucleic Acids Res. 2017;45:D979-84.
51. Garcia-Aloy M, Llorach R, Urpi-Sarda M, Tulipani S, Salas-Salvadó J, Martínez-González MA, et al. Nutrimetabolomics fingerprinting to identify biomarkers of bread exposure in a free-living population from the PREDIMED study cohort. Metabolomics. 2015;11:155-65.
52. Edmands WMB, Ferrari P, Rothwell JA, Rinaldi S, Slimani N, Barupal DK, et al. Polyphenol metabolome in human urine and its association with intake of polyphenol-rich foods across European countries. Am J Clin Nutr. 2015;102:905-13.
53. Saude EJ, Sykes BD. Urine stability for metabolomic studies: effects of preparation and storage. Metabolomics. 2007;3:19-27.
54. Jenab M, Bingham S, Ferrari P, Friesen MD, Al-Delaimy WK, Luben R, et al. Long-term cryoconservation and stability of vitamin C in serum samples of the European prospective investigation into cancer and nutrition. Cancer EpidemiolBiomarkers Prev. 2005;14:1837-40.
55. Gika HG, Theodoridis GA, Wilson ID. Liquid chromatography and ultra-performance liquid chromatography-mass spectrometry fingerprinting of human urine. Sample stability under different handling and storage conditions for metabonomics studies. J Chromatogr A. 2008;1189:314-22.
56. Ravn-Haren G, Olsen A, Tjønneland A, Dragsted LO, Nexø BA, Wallin H, et al. Associations between GPX1 Pro198Leu polymorphism, erythrocyte GPX activity, alcohol consumption and breast cancer risk in a prospective cohort study. Carcinogenesis. 2006;27:820-5.
57. Nielsen ILF, Haren GR, Magnussen EL, Dragsted LO, Rasmussen SE. Quantification of anthocyanins in commercial black currant juices by simple high-performance liquid chromatography. Investigation of their pH stability and antioxidative potency. J Agric Food Chem. 2003;51:5861-6.
58. Ching SYL, Prins AW, Beilby JP. Stability of ascorbic acid in serum and plasma prior to analysis. Ann Clin Biochem. 2002;39:518-20.
59. Dimeski G, Yow KS, Brown NN. What is the most suitable blood collection tube for glucose estimation? Ann Clin Biochem. 2015;52:270-5.
60. ICH Expert Working Group. ICH harmonised tripartite guideline, validation of analytical procedures: text and methodology Q2(R1) 1994; available online at http://www.ich.org/fileadmin/Public_Web_Site/ICH_Products/Guidelines/Quality/Q2_R1/Step4/Q2_R1__Guideline.pdf. Accessed 1 May 2018.
61. Committee for Medicinal Products for Human Use. Guideline on bioanalytical method validation. Eur Med agency. 2011; available online at http://www.ema.europa.eu/docs/en_GB/document_library/Scientific_guideline/2011/08/WC500109686.pdf. Accessed 1 May 2018.
62. U.S. Department of Health and Human Services, Food and Drug Administration, Center for Drug Evaluation and Research, Center for Veterinary Medicine. Guidance for industry: bioanalytical method validation. Biopharmaceutics. 2013;
63. Zamora-Ros R, Achaintre D, Rothwell JA, Rinaldi S, Assi N, Ferrari P, et al. Urinary excretions of 34 dietary polyphenols and their associations with lifestyle factors in the EPIC cohort study. Sci Rep. 2016;6:26905.
64. Achaintre D, Buleté A, Cren-Olivé C, Li L, Rinaldi S, Scalbert A. Differential isotope labeling of 38 dietary polyphenols and their quantification in urine by liquid chromatography electrospray ionization tandem mass spectrometry. Anal Chem. 2016;88:2637-44.
65. Guo K, Ji C, Li L. Stable-isotope dimethylation labeling combined with LC-ESI MS for quantification of amine-containing metabolites in biological samples. Anal Chem. 2007;79:8631-8.
66. Han J, Lin K, Sequeira C, Borchers CH. An isotope-labeled chemical derivatization method for the quantitation of short-chain fatty acids in human feces by liquid chromatography-tandem mass spectrometry. Anal Chim Acta. 2015;854:86-94.
67. Contarini G, Povolo M, Pelizzola V, Monti L, Lercker G. Interlaboratory evaluation of milk fatty acid composition by using different GC operating conditions. J Food Compos Anal. 2013;32:131-40.
68. Siskos AP, Jain P, Römisch-Margl W, Bennett M, Achaintre D, Asad Y, et al. Interlaboratory reproducibility of a targeted metabolomics platform for analysis of human serum and plasma. Anal Chem. 2017;89:656-65.
69. Allwood JW, Erban A, de Koning S, Dunn WB, Luedemann A, Lommen A, et al. Inter-laboratory reproducibility of fast gas chromatography-electron impact-time of flight mass spectrometry (GC-EI-TOF/MS) based plant metabolomics. Metabolomics. 2009;5:479-96.
70. Tomás-Barberán FA, García-Villalba R, González-Sarrías A, Selma MV, Espín JC. Ellagic acid metabolism by human gut microbiota: consistent observation of three urolithin phenotypes in intervention trials, independent of food source, age, and health status. J Agric Food Chem. 2014;62:6535-8.
71. Crews H, Alink G, Andersen R, Braesco V, Holst B, Maiani G, et al. A critical assessment of some biomarker approaches linked with dietary intake. Br J Nutr. 2001;86(Suppl 1):S5-35.
72. Maruvada P, Srivastava S. Biomarkers for cancer diagnosis: implications for nutritional research. J Nutr. 2004;134:1640S-5S.
73. Puiggròs F, Solà R, Bladé C, Salvadó MJ, Arola L. Nutritional biomarkers and foodomic methodologies for qualitative and quantitative analysis of bioactive ingredients in dietary intervention studies. J Chromatogr A. 2011;1218:7399-414.
74. Kuhnle GG. Nutritional biomarkers for objective dietary assessment. J Sci Food Agric. 2012;92:1145-9.
75. Gibbons H, Brennan L. Metabolomics as a tool in the identification of dietary biomarkers. Proc Nutr Soc. 2016;76:1-12.
76. Spencer JPE, Abd El Mohsen MM, Minihane A-MM, Mathers JC, El Mohsen MMA, Minihane A-MM, et al. Biomarkers of the intake of dietary polyphenols: strengths, limitations and application in nutrition research. Br J Nutr 2008;99:12-22.
77. Van Dam RM, Hunter D. Biochemical indicators of dietary intake. In: Willett W, editor. Nutritional epidemiology. 3rd ed. New York: Oxford University Press; 2012. p. 150-212. https://doi.org/10.1093/acprof:oso/9780199754038.003.0008.
78. Baldrick FR, Woodside JV, Elborn JS, Young IS, McKinley MC. Biomarkers of fruit and vegetable intake in human intervention studies: a systematic review. Crit Rev Food Sci Nutr. 2011;51:795-815.
79. Baylin A, Campos H. The use of fatty acid biomarkers to reflect dietary intake. Curr Opin Lipidol. 2006;17:22-7.
80. Pérez-Jiménez J, Hubert J, Hooper L, Cassidy A, Manach C, Williamson G, et al. Urinary metabolites as biomarkers of polyphenol intake in humans: a systematic review. Am J Clin Nutr. 2010;92:801-9.
81. Tasevska N. Urinary sugars-a biomarker of Total sugars intake. Nutrients. 2015;7:5816-33.
82. Wild CP, Andersson C, O'Brien NM, Wilson L, Woods JA. A critical evaluation of the application of biomarkers in epidemiological studies on diet and health. Br J Nutr. 2001;86:S37.
83. Kussmann M, Panchaud A, Affolter M. Proteomics in nutrition: status quo and outlook for biomarkers and bioactives. J Proteome Res. 2010;9:4876-87.
84. Hedrick VE, Dietrich AM, Estabrooks PA, Savla J, Serrano E, Davy BM. Dietary biomarkers: advances, limitations and future directions. Nutr J. 2012;11:109.
85. Van't Veer P. Measuring nutritional exposures including biomarkers. Proc Nutr Soc. 1994;53:27-35.
86. Hunter D. Biochemical indicators of dietary intake. In: Willett W, editor. Nutritional epidemiology. 2nd ed. New York: Oxford University Press; 1998. p. 174-243. https://doi.org/10.1093/acprof:oso/9780195122978.003.09.
87. Hodson L, Skeaff CM, Fielding BA. Fatty acid composition of adipose tissue and blood in humans and its use as a biomarker of dietary intake. Prog Lipid Res. 2008;47:348-80.
88. Lampe JW. Isoflavonoid and lignan phytoestrogens as dietary biomarkers. J Nutr. 2003;133:956S-64S.
89. Verhagen H, Coolen S, Duchateau G, Hamer M, Kyle J, Rechner A. Assessment of the efficacy of functional food ingredients--introducing the concept "kinetics of biomarkers.". Mutation Research - Fundamental and Molecular Mechanisms of Mutagenesis. 2004;551:65-78.
90. Burrows TL, Williams R, Rollo M, Wood L, Garg ML, Jensen M, et al. Plasma carotenoid levels as biomarkers of dietary carotenoid consumption: a systematic review of the validation studies. J Nutr Intermed Metab. 2015;2:15-64.
91. Bates CJ, Thurnham DI, Bingham SA, Margetts BM, Nelson M. Biochemical markers of nutrient intake. In: Design Concepts in Nutritional Epidemiology; 2009. https://doi.org/10.1093/acprof:oso/9780192627391.003.0007.