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Nutrition Journal
Published in: Nutrition Journal 1/2012

Open Access 01-12-2012 | Review

Dietary biomarkers: advances, limitations and future directions

Authors: Valisa E Hedrick, Andrea M Dietrich, Paul A Estabrooks, Jyoti Savla, Elena Serrano, Brenda M Davy

Published in: Nutrition Journal | Issue 1/2012

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Abstract

The subjective nature of self-reported dietary intake assessment methods presents numerous challenges to obtaining accurate dietary intake and nutritional status. This limitation can be overcome by the use of dietary biomarkers, which are able to objectively assess dietary consumption (or exposure) without the bias of self-reported dietary intake errors. The need for dietary biomarkers was addressed by the Institute of Medicine, who recognized the lack of nutritional biomarkers as a knowledge gap requiring future research. The purpose of this article is to review existing literature on currently available dietary biomarkers, including novel biomarkers of specific foods and dietary components, and assess the validity, reliability and sensitivity of the markers. This review revealed several biomarkers in need of additional validation research; research is also needed to produce sensitive, specific, cost-effective and noninvasive dietary biomarkers. The emerging field of metabolomics may help to advance the development of food/nutrient biomarkers, yet advances in food metabolome databases are needed. The availability of biomarkers that estimate intake of specific foods and dietary components could greatly enhance nutritional research targeting compliance to national recommendations as well as direct associations with disease outcomes. More research is necessary to refine existing biomarkers by accounting for confounding factors, to establish new indicators of specific food intake, and to develop techniques that are cost-effective, noninvasive, rapid and accurate measures of nutritional status.
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Literature
1.
Frobisher C, Maxwell SM: The estimation of food portion sizes: a comparison between using descriptions of portion sizes and a photographic food atlas by children and adults. J Hum Nutr Diet. 2003, 16: 181-188. 10.1046/j.1365-277X.2003.00434.x.CrossRefPubMed
2.
Monsen ER: Research Successful Approaches. 2003, Chicago, IL: American Dietetic Association, 1-482. 2
3.
Thompson FE, Subar AF, Loria CM, Reedy JL, Baranowski T: Need for technological innovation in dietary assessment. J Am Diet Assoc. 2010, 110: 48-51. 10.1016/j.jada.2009.10.008.CrossRefPubMedPubMedCentral
4.
Willett W, Lenart E: Reproducibility and validity of food-frequency questionnaires. Nutritional epidemiology. Edited by: Willett W. 1998, New York, NY: Oxford University Press, 101-147. 2CrossRef
5.
Marshall TA, Eichenberger Gilmore JM, Broffitt B, Levy SM, Stumbo PJ: Relative validation of a beverage frequency questionnaire in children ages 6 months through 5 years using 3-day food and beverage diaries. J Am Diet Assoc. 2003, 103: 714-720. 10.1053/jada.2003.50137.CrossRefPubMed
6.
Thomson CA, Giuliano A, Rock CL, Ritenbaugh CK, Flatt SW, Faerber S, Newman V, Caan B, Graver E, Hartz V, Whitacre R, Parker F, Pierce JP, Marshall JR: Measuring dietary change in a diet intervention trial: comparing food frequency questionnaire and dietary recalls. Am J Epidemiol. 2003, 157: 754-762. 10.1093/aje/kwg025.CrossRefPubMed
7.
Shriver B, Roman-Shriver C, Long J: Technology-based methods of dietary assessment: recent developments and considerations for clinical practice. Curr Opin Clin Nutr Metab Care. 2010, 13: 548-551. 10.1097/MCO.0b013e32833c55f8.CrossRefPubMed
8.
9.
Subar AF, Kirkpatrick SI, Mittl B, Zimmerman TP, Thompson FE, Bingley C, Willis G, Islam NG, Baranowski T, McNutt S, Potischman N: The automated self-administered 24-hour dietary recall (ASA24): a resource for researchers, clinicians, and educators from the national cancer institute. J Acad Nutr Diet. 2012, 112: 1134-1137. 10.1016/j.jand.2012.04.016.CrossRefPubMedPubMedCentral
10.
Institute of Medicine of the National Academies: Dietary reference intakes: research synthesis workshop summary. 2007, Washington, DC: The National Academies Press
11.
Hardin DS: Validating dietary intake with biochemical markers. J Am Diet Assoc. 2009, 109: 1698-1699. 10.1016/j.jada.2009.07.014.CrossRefPubMed
12.
McCabe-Sellers B: Advancing the art and science of dietary assessment through technology. J Am Diet Assoc. 2010, 110: 52-54. 10.1016/j.jada.2009.10.014.CrossRefPubMed
13.
Potischman N: Biologic and methodologic issues for nutritional biomarkers. J Nutr. 2003, 133: 875S-880S.PubMed
14.
Jenab M, Slimani N, Bictash M, Ferrari P, Bingham S: Biomarkers in nutritional epidemiology: applications, needs and new horizons. Hum Genet. 2009, 125: 507-525. 10.1007/s00439-009-0662-5.CrossRefPubMed
15.
Brennan L: Session 2: personalised nutrition. Metabolomic applications in nutritional research. Proc Nutr Soc. 2008, 67: 404-408. 10.1017/S0029665108008719.CrossRefPubMed
16.
Zivkovic A, German J: Metabolomics for assessment of nutritional status. Curr Opin Clin Nutr Metab Care. 2009, 12: 501-507. 10.1097/MCO.0b013e32832f1916.CrossRefPubMedPubMedCentral
17.
Gibney MJ, Walsh M, Brennan L, Roche HM, German B, van Ommen B: Metabolomics in human nutrition: opportunities and challenges. Am J Clin Nutr. 2005, 82: 497-503.PubMed
18.
Wishart DS, Tzur D, Knox C, Eisner R, Guo AC, Young N, Cheng D, Jewell K, Arndt D, Sawhney S, Fung C, Nikolai L, Lewis M, Coutouly M-A, Forsythe I, Tang P, Shrivastava S, Jeroncic K, Stothard P, Amegbey G, Block D, Hau DD, Wagner J, Miniaci J, Clements M, Gebremedhin M, Guo N, Zhang Y, Duggan GE, MacInnis GD, et al: HMDB: the human metabolome database. Nucleic Acids Res. 2007, 35: D521-D526. 10.1093/nar/gkl923.CrossRefPubMedPubMedCentral
19.
Oresic M: Metabolomics, a novel tool for studies of nutrition, metabolism and lipid dysfunction. Nutr Metab Cardiovas. 2009, 19: 816-824. 10.1016/j.numecd.2009.04.018.CrossRef
20.
O'Sullivan A, Gibney MJ, Brennan L: Dietary intake patterns are reflected in metabolomic profiles: potential role in dietary assessment studies. Am J Clin Nutr. 2011, 93: 314-321. 10.3945/ajcn.110.000950.CrossRefPubMed
21.
Heinzmann SS, Brown IJ, Chan Q, Bictash M, Dumas M-E, Kochhar S, Stamler J, Holmes E, Elliott P, Nicholson JK: Metabolic profiling strategy for discovery of nutritional biomarkers: proline betaine as a marker of citrus consumption. Am J Clin Nutr. 2010, 92: 436-443. 10.3945/ajcn.2010.29672.CrossRefPubMedPubMedCentral
22.
Davy BM, Jahren AH, Hedrick VE, Comber DL: Association of δ13C in fingerstick blood with added-sugar and sugar-sweetened beverage intake. J Am Diet Assoc. 2011, 111: 874-878. 10.1016/j.jada.2011.03.019.CrossRefPubMedPubMedCentral
23.
Elliott SS, Keim NL, Stern JS, Teff K, Havel PJ: Fructose, weight gain, and the insulin resistance syndrome. Am J Clin Nutr. 2002, 76: 911-922.PubMed
24.
Popkin BM, Barclay D, Nielsen S: Water and food consumption patterns of U.S. Adults from 1999 to 2001. Obes Res. 2005, 13: 2146-2152. 10.1038/oby.2005.266.CrossRefPubMed
25.
Stookey JD, Constant F, Gardner CD, Popkin BM: Replacing sweetened caloric beverages with drinking water is associated with lower energy intake. Obesity. 2007, 15: 3013-3022. 10.1038/oby.2007.359.CrossRefPubMed
26.
Allison DB, Mattes RD: Nutritively sweetened beverage consumption and obesity. J Am Med Assoc. 2009, 301: 318-320. 10.1001/jama.2008.974.CrossRef
27.
Brownell KD, Farley T, Willett WC, Popkin BM, Chaloupka FJ, Thompson JW, Ludwig DS: The public health and economic benefits of taxing sugar-sweetened beverages. New Engl J Med. 2009, 361: 1599-1605. 10.1056/NEJMhpr0905723.CrossRefPubMedPubMedCentral
28.
29.
U.S. Department of Health and Human Services U.S. Department of Agriculture: U.S. Department of Health and Human Services, and U.S. Department of Agriculture (HHS, USDA) Dietary Guidelines for Americans. 2010, Washington, DC: US Government Printing Office, 7
30.
Flight I, Clifton P: Cereal grains and legumes in the prevention of coronary heart disease and stroke: a review of the literature. Eur J Clin Nutr. 2006, 60: 1145-1159. 10.1038/sj.ejcn.1602435.CrossRefPubMed
31.
Landberg R, Kamal-Eldin A, Andersson A, Vessby B, Aman 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: 832-838.PubMed
32.
Jahren AH, Saudek C, Yeung EH, Kao WL, Kraft RA, Caballero B: An isotopic method for quantifying sweeteners derived from corn and sugar cane. Am J Clin Nutr. 2006, 84: 1380-1384.PubMed
33.
Cook CM, Alvig AL, Liu YQ, Schoeller DA: The natural 13C abundance of plasma glucose is a useful biomarker of recent dietary caloric sweetener intake. J Nutr. 2010, 140: 333-337. 10.3945/jn.109.114777.CrossRefPubMed
34.
Yeung EH, Saudek CD, Jahren AH, Kao WHL, Islas M, Kraft R, Coresh J, Anderson CAM: Evaluation of a novel isotope biomarker for dietary consumption of sweets. Am J Epidemiol. 2010, 172: 1045-1052. 10.1093/aje/kwq247.CrossRefPubMedPubMedCentral
35.
Kraft RA, Jahren AH, Saudek CD: Clinical-scale investigation of stable isotopes in human blood: δ13C and δ15N from 406 patients at the Johns Hopkins Medical Institutions. Rapid Commun Mass Sp. 2008, 22: 3683-3692. 10.1002/rcm.3780.CrossRef
36.
Tasevska N, Runswick SA, McTaggart A, Bingham SA: Urinary sucrose and fructose as biomarkers for sugar consumption. Cancer Epidem Biomar. 2005, 14: 1287-1294. 10.1158/1055-9965.EPI-04-0827.CrossRef
37.
Joosen AMCP, Kuhnle GGC, Runswick SA, Bingham SA: Urinary sucrose and fructose as biomarkers of sugar consumption: comparison of normal weight and obese volunteers. Int J Obes. 2008, 32: 1736-1740. 10.1038/ijo.2008.145.CrossRef
38.
Kuhnle GGC, Joosen AMCP, Wood TR, Runswick SA, Griffin JL, Bingham SA: Detection and quantification of sucrose as dietary biomarker using gas chromatography and liquid chromatography with mass spectrometry. Rapid Commun Mass Sp. 2008, 22: 279-282. 10.1002/rcm.3355.CrossRef
39.
Linko-Parvinen A-M, Landberg R, Tikkanen MJ, Adlercreutz H, Peñalvo JL: Alkylresorcinols from whole-grain wheat and rye are transported in human plasma lipoproteins. J Nutr. 2007, 137: 1137-1142.PubMed
40.
Landberg R, Kamal-Eldin A, Andersson S-O, Johansson J-E, Zhang J-X, Hallmans G, Åman P: Reproducibility of plasma alkylresorcinols during a 6-week rye intervention study in men with prostate cancer. J Nutr. 2009, 139: 975-980. 10.3945/jn.108.099952.CrossRefPubMed
41.
Andersson A, Marklund M, Diana M, Landberg R: Plasma alkylresorcinol concentrations correlate with whole grain wheat and Rye intake and show moderate reproducibility over a 2- to 3-month period in free-living swedish adults. J Nutr. 2011, 141: 1712-1718. 10.3945/jn.111.139238.CrossRefPubMed
42.
Aubertin-Leheudre M, Koskela A, Marjamaa A, Adlercreutz H: Plasma alkylresorcinols and urinary alkylresorcinol metabolites as biomarkers of cereal fiber intake in finnish women. Cancer Epidemiol Biomarkers Prev. 2008, 17: 2244-2248. 10.1158/1055-9965.EPI-08-0215.CrossRefPubMed
43.
Landberg R, Åman P, Friberg LE, Vessby B, Adlercreutz H, Kamal-Eldin A: Dose response of whole-grain biomarkers: alkylresorcinols in human plasma and their metabolites in urine in relation to intake. Am J Clin Nutr. 2009, 89: 290-296.CrossRefPubMed
44.
King IB, Lemaitre RN, Kestin M: Effect of a low-fat diet on fatty acid composition in red cells, plasma phospholipids, and cholesterol esters: investigation of a biomarker of total fat intake. Am J Clin Nutr. 2006, 83: 227-236.PubMed
45.
Baylin A, Kabagambe EK, Siles X, Campos H: Adipose tissue biomarkers of fatty acid intake. Am J Clin Nutr. 2002, 76: 750-757.PubMed
46.
O'Brien DM, Kristal AR, Jeannet MA, Wilkinson MJ, Bersamin A, Luick B: Red blood cell δ15N: a novel biomarker of dietary eicosapentaenoic acid and docosahexaenoic acid intake. Am J Clin Nutr. 2009, 89: 913-919. 10.3945/ajcn.2008.27054.CrossRefPubMedPubMedCentral
47.
Poppitt S, Kilmartin P, Butler P, Keogh G: Assessment of erythrocyte phospholipid fatty acid composition as a biomarker for dietary MUFA. PUFA or saturated fatty acid intake in a controlled cross-over intervention trial. Lipids Health Dis. 2005, 4: 30-10.1186/1476-511X-4-30.CrossRefPubMedPubMedCentral
48.
Thiébaut ACM, Rotival M, Gauthier E, Lenoir GM, Boutron-Ruault M-C, Joulin V, Clavel-Chapelon F, Chajès V: Correlation between serum phospholipid fatty acids and dietary intakes assessed a few years earlier. Nutr Cancer. 2009, 61: 500-509. 10.1080/01635580802710717.CrossRefPubMed
49.
Fuhrman B, Barba M, Krogh V, Micheli A, Pala V, Lauria R, Chajes V, Riboli E, Sieri S, Berrino F, Muti P: Erythrocyte membrane phospholipid composition as a biomarker of dietary fat. Ann Nutr Metab. 2006, 50: 95-102. 10.1159/000090496.CrossRefPubMed
50.
Baylin A, Kim MK, Donovan-Palmer A, Siles X, Dougherty L, Tocco P, Campos H: Fasting whole blood as a biomarker of essential fatty acid intake in epidemiologic studies: comparison with adipose tissue and plasma. Am J Epidemiol. 2005, 162: 373-381. 10.1093/aje/kwi213.CrossRefPubMed
51.
Kuriki K, Nagaya T, Tokudome Y, Imaeda N, Fujiwara N, Sato J, Goto C, Ikeda M, Maki S, Tajima K, Tokudome S: Plasma concentrations of (n-3) highly unsaturated fatty acids are good biomarkers of relative dietary fatty acid intakes: a cross-sectional study. J Nutr. 2003, 133: 3643-3650.PubMed
52.
Nash SH, Kristal AR, Boyer BB, King IB, Metzgar JS, O'Brien DM: Relation between stable isotope ratios in human red blood cells and hair: implications for using the nitrogen isotope ratio of hair as a biomarker of eicosapentaenoic acid and docosahexaenoic acid. Am J Clin Nutr. 2009, 90: 1642-1647. 10.3945/ajcn.2009.28482.CrossRefPubMedPubMedCentral
53.
Harris WS, von Schacky C: The Omega-3 Index: a new risk factor for death from coronary heart disease?. Prev Med. 2004, 39: 212-220. 10.1016/j.ypmed.2004.02.030.CrossRefPubMed
54.
Miro-Casas E, Covas MI, Fito M, Farre-Albadalejo M, Marrugat J, de la Torre R: Tyrosol and hydroxytyrosol are absorbed from moderate and sustained doses of virgin olive oil in humans. Eur J Clin Nutr. 2003, 57: 186-190. 10.1038/sj.ejcn.1601532.CrossRefPubMed
55.
Petzke KJ, Lemke S: Hair protein and amino acid 13C and 15N abundances take more than 4 weeks to clearly prove influences of animal protein intake in young women with a habitual daily protein consumption of more than 1 g per kg body weight. Rapid Commun Mass Sp. 2009, 23: 2411-2420. 10.1002/rcm.4025.CrossRef
56.
Bingham SA: Urine nitrogen as a biomarker for the validation of dietary protein intake. J Nutr. 2003, 133: 921S-924S.PubMed
57.
Cross AJ, Major JM, Sinha R: Urinary Biomarkers of Meat Consumption. Cancer Epidemiol Biomarkers Prev. 2011, 20: 1107-1111. 10.1158/1055-9965.EPI-11-0048.CrossRefPubMedPubMedCentral
58.
Crews H, Olivier L, Wilson L: Urinary biomarkers for assessing dietary exposure to caffeine. Food Addit Contam. 2001, 18: 1075-1087. 10.1080/02652030110056630.CrossRefPubMed
59.
Thompson HJ, Heimendinger J, Diker A, O'Neill C, Haegele A, Meinecke B, Wolfe P, Sedlacek S, Zhu Z, Jiang W: Dietary botanical diversity affects the reduction of oxidative biomarkers in women due to high vegetable and fruit intake. J Nutr. 2006, 136: 2207-2212.PubMed
60.
Lloyd AJ, Beckmann M, Favé G, Mathers JC, Draper J: Proline betaine and its biotransformation products in fasting urine samples are potential biomarkers of habitual citrus fruit consumption. Br J Nutr. 2011, 106: 812-824. 10.1017/S0007114511001164.CrossRefPubMed
61.
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: 5060-5068. 10.1021/pr900470a.CrossRefPubMed
62.
Verhagen H, Hageman GJ, Rauma A-L, Versluis-de Haan G, Van Herwijnen MHM, De Groot J, Törrönen R, Mykkänen H: Biomonitoring the intake of garlic via urinary excretion of allyl mercapturic acid. Brit J Nutr. 2001, 86: S111-S114. 10.1079/BJN2001343.CrossRefPubMed
63.
Zamora-Ros R, Urpi-Sarda M, Lamuela-Raventos RM, Estruch R, Vazquez-Agell M, Serrano-Martinez M, Jaeger W, Andres-Lacueva C: Diagnostic performance of urinary resveratrol metabolites as a biomarker of moderate wine consumption. Clin Chem. 2006, 52: 1373-1380. 10.1373/clinchem.2005.065870.CrossRefPubMed
64.
Zamora-Ros R, Urpí-Sardà M, Lamuela-Raventós RM, Estruch R, Martínez-González MÁ, Bulló M, Arós F, Cherubini A, Andres-Lacueva C: Resveratrol metabolites in urine as a biomarker of wine intake in free-living subjects: the PREDIMED study. Free Radic Biol Med. 2009, 46: 1562-1566. 10.1016/j.freeradbiomed.2008.12.023.CrossRefPubMed
65.
Waterhouse AL: Resveratrol metabolites in urine as biomarker of wine intake in free-living subjects: the PREDIMED study. Free Radic Biol Med. 2009, 46: 1561-10.1016/j.freeradbiomed.2009.03.019.CrossRefPubMed
66.
Rotches-Ribalta M, Andres-Lacueva C, Estruch R, Escribano E, Urpi-Sarda M: Pharmacokinetics of resveratrol metabolic profile in healthy humans after moderate consumption of red wine and grape extract tablets. Pharmacol Res. 2012, 66: 375-382. 10.1016/j.phrs.2012.08.001.CrossRefPubMed
67.
Manach C, Scalbert A, Morand C, Rémésy C, Jiménez L: Polyphenols: food sources and bioavailability. Am J Clin Nutr. 2004, 79: 727-747.PubMed
Metadata
Title
Dietary biomarkers: advances, limitations and future directions
Authors
Valisa E Hedrick
Andrea M Dietrich
Paul A Estabrooks
Jyoti Savla
Elena Serrano
Brenda M Davy
Publication date
01-12-2012
Publisher
BioMed Central
Published in
Nutrition Journal / Issue 1/2012
Electronic ISSN: 1475-2891
DOI
https://doi.org/10.1186/1475-2891-11-109

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