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Nutrigenomics – 2006 update

  • Jim Kaput
Veröffentlicht/Copyright: 22. März 2007
Veröffentlichen auch Sie bei De Gruyter Brill
Clinical Chemistry and Laboratory Medicine (CCLM)
Aus der Zeitschrift Band 45 Heft 3

Abstract

The Human Genome and HapMap projects have provided the tools and information that will aid in understanding how nutrients alter the expression of an individual's genetic information and why individuals differ in metabolism of foods at the molecular level. The study of how genes and gene products interact with dietary chemicals to alter phenotype and, conversely, how genes and their products metabolize nutrients is called nutritional genomics or “nutrigenomics.” This new field has received considerable attention in the last 6 years, most of which has been on the promise rather than on scientific results from nutrigenomic experiments. Funding for nutrigenomics research focused primarily on individual laboratory projects in the 1990s and early 2000s. The novelty of combining nutrition and genetics limited that funding to a relatively small number of laboratories. Only in the past 3 years have centers been funded to foster collaborations and conduct large-scale projects that are studying nutrient-gene interactions. The increase in interest and funding is beginning to generate the critical mass to realize the promise of nutritional genomics.

Clin Chem Lab Med 2007;45:279–87.

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Corresponding author: Jim Kaput, PhD, Laboratory of Nutrigenomic Medicine, Department of Surgery, University of Illinois, Chicago, 840 South Wood Street MC958, Chicago, IL 60612, USA Phone: +1-312-371-1540, Fax: +1-708-458-8586,

References

1. Kaput J, Ordovas JM, Ferguson L, van Ommen B, Rodriguez RL, Allen L, et al. The case for strategic international alliances to harness nutritional genomics for public and personal health. Br J Nutr2005;94:623–32.10.1079/BJN20051585Suche in Google Scholar

2. Jorde LB, Wooding SP. Genetic variation, classification and “race”. Nat Genet2004;36(Suppl 1):S28–33.10.1038/ng1435Suche in Google Scholar

3. Hinds DA, Stuve LL, Nilsen GB, Halperin E, Eskin E, Ballinger DG, et al. Whole-genome patterns of common DNA variation in three human populations. Science2005;307:1072–9.10.1126/science.1105436Suche in Google Scholar

4. Hartman JL, Garvik B, Hartwell L. Principles for the buffering of genetic variation. Science2001;291:1001–4.10.1126/science.1056072Suche in Google Scholar

5. Carlborg O, Haley CS. Epistasis: too often neglected in complex trait studies? Nat Rev Genet2004;5:618–25.10.1038/nrg1407Suche in Google Scholar

6. Moore JH. The ubiquitous nature of epistasis in determining susceptibility to common human diseases. Hum Hered2003;56:73–82.10.1159/000073735Suche in Google Scholar

7. Kaput J, Rodriguez RL. Nutritional genomics: the next frontier in the postgenomic era. Physiol Genomics2004;16:166–77.10.1152/physiolgenomics.00107.2003Suche in Google Scholar

8. van Ommen B, Stierum R. Nutrigenomics: exploiting systems biology in the nutrition and health arena. Curr Opin Biotechnol2002;13:517–21.10.1016/S0958-1669(02)00349-XSuche in Google Scholar

9. Ordovas JM. The quest for cardiovascular health in the genomic era: nutrigenetics and plasma lipoproteins. Proc Nutr Soc2004;63:145–52.10.1079/PNS2003313Suche in Google Scholar PubMed

10. Corella D, Ordovas JM. The metabolic syndrome: a crossroad for genotype-phenotype associations in atherosclerosis. Curr Atheroscler Rep2004;6:186–96.10.1007/s11883-004-0031-8Suche in Google Scholar PubMed

11. Helgadottir A, Manolescu A, Helgason A, Thorleifsson G, Thorsteinsdottir U, Gudbjartsson DF, et al. A variant of the gene encoding leukotriene A4 hydrolase confers ethnicity-specific risk of myocardial infarction. Nat Genet2006;38:68–74.10.1038/ng1692Suche in Google Scholar PubMed

12. Campbell CD, Ogburn EL, Lunetta KL, Lyon HN, Freedman ML, Groop LC, et al. Demonstrating stratification in a European American population. Nat Genet2005;37:868–72.10.1038/ng1607Suche in Google Scholar PubMed

13. Helgason A, Yngvadottir B, Hrafnkelsson B, Gulcher J, Stefansson K. An Icelandic example of the impact of population structure on association studies. Nat Genet2005;37:90–5.10.1038/ng1492Suche in Google Scholar PubMed

14. Pike AC, Brzozowski AM, Hubbard RE, Bonn T, Thorsell AG, Engstrom O, et al. Structure of the ligand-binding domain of oestrogen receptor beta in the presence of a partial agonist and a full antagonist. EMBO J1999;18:4608–18.10.1093/emboj/18.17.4608Suche in Google Scholar PubMed PubMed Central

15. Naciff JM, Jump ML, Torontali SM, Carr GJ, Tiesman JP, Overmann GJ, et al. Gene expression profile induced by 17alpha-ethynyl estradiol, bisphenol A, and genistein in the developing female reproductive system of the rat. Toxicol Sci2002;68:184–99.10.1093/toxsci/68.1.184Suche in Google Scholar PubMed

16. Moore LB, Goodwin B, Jones SA, Wisely GB, Serabjit-Singh CJ, Willson TM, et al. St. John's wort induces hepatic drug metabolism through activation of the pregnane X receptor. Proc Natl Acad Sci USA2000;97:7500–2.10.1073/pnas.130155097Suche in Google Scholar PubMed PubMed Central

17. Watkins RE, Maglich JM, Moore LB, Wisely GB, Noble SM, Davis-Searles PR, et al. 2.1 Å crystal structure of human PXR in complex with the St. John's wort compound hyperforin. Biochemistry2003;42:1430–8.10.1021/bi0268753Suche in Google Scholar PubMed

18. Tirona RG, Leake BF, Podust LM, Kim RB. Identification of amino acids in rat pregnane X receptor that determine species-specific activation. Mol Pharmacol2004;65:36–44.10.1124/mol.65.1.36Suche in Google Scholar PubMed

19. Rebbeck TR, Spitz M, Wu X. Assessing the function of genetic variants in candidate gene association studies. Nat Rev Genet2004;5:589–97.10.1038/nrg1403Suche in Google Scholar PubMed

20. Chambrier C, Bastard JP, Rieusset J, Chevillotte E, Bonnefont-Rousselot D, Therond P, et al. Eicosapentaenoic acid induces mRNA expression of peroxisome proliferator-activated receptor gamma. Obes Res2002;10:518–25.10.1038/oby.2002.70Suche in Google Scholar PubMed

21. Forman BM, Tontonoz P, Chen J, Brun RP, Spiegelman BM, Evans RM. 15-Deoxy-delta 12, 14-prostaglandin J2 is a ligand for the adipocyte determination factor PPAR gamma. Cell1995;83:803–12.10.1016/0092-8674(95)90193-0Suche in Google Scholar

22. Nosjean O, Boutin JA. Natural ligands of PPARgamma: are prostaglandin J(2) derivatives really playing the part? Cell Signal2002;14:573–83.10.1016/S0898-6568(01)00281-9Suche in Google Scholar

23. Guo S, Sonenshein G. Green tea polyphenols and cancer prevention. In: Kaput J, Rodriguez RL, editors. Nutritional genomics. Discovering the path to personalized nutrition. Hoboken, NJ: John Wiley and Sons, 2006:177–206.Suche in Google Scholar

24. Francis GA, Fayard E, Picard F, Auwerx J. Nuclear receptors and the control of metabolism. Annu Rev Physiol2003;65:261–311.10.1146/annurev.physiol.65.092101.142528Suche in Google Scholar

25. Gillies PJ. Nutrigenomics: the Rubicon of molecular nutrition. J Am Diet Assoc2003;103:S50–5.10.1016/j.jada.2003.09.037Suche in Google Scholar

26. Jacobs MN, Lewis DF. Steroid hormone receptors and dietary ligands: a selected review. Proc Nutr Soc2002;61:105–22.10.1079/PNS2001140Suche in Google Scholar

27. Davis CD, Milner J. Frontiers in nutrigenomics, proteomics, metabolomics and cancer prevention. Mutat Res2004;551:51–64.10.1016/j.mrfmmm.2004.01.012Suche in Google Scholar

28. Simopoulos AP, Ordovas JM, editors. Nutrigenetics and nutrigenomics. World Rev Nutr Diet2004;93:1–324.10.1159/000081248Suche in Google Scholar

29. Schuster GU. Nutrients and gene expression. In: Kaput J, Rodriguez RL, editors. Nutritional genomics. Discovering the path to personalized nutrition. Hoboken, NJ: John Wiley and Sons, 2006:153–76.Suche in Google Scholar

30. Kaput J, Rodriguez, RL, editors. Nutritional genomics. Discovering the path to personalized nutrition. Hoboken, NJ: John Wiley and Sons, 2006:469.10.1002/0471781797Suche in Google Scholar

31. Netting AG. pH, abscisic acid and the integration of metabolism in plants under stressed and non-stressed conditions. II. Modifications in modes of metabolism induced by variation in the tension on the water column and by stress. J Exp Bot2002;53:151–73.10.1093/jexbot/53.367.151Suche in Google Scholar

32. Malfatti MA, Felton JS. Susceptibility to exposure to heterocyclic amines from cooked food: role of UDP-glucuronosyltransferases. In: Kaput J, Rodriguez RL, editors. Nutritional genomics. Discovering the path to personalized nutrition. Hoboken, NJ: John Wiley and Sons, 2006:331–52.Suche in Google Scholar

33. Dennis LK, Snetselaar LG, Nothwehr FK, Stewart RE. Developing a scoring method for evaluating dietary methodology in reviews of epidemiologic studies. J Am Diet Assoc2003;103:483–7.10.1016/S0002-8223(03)00030-0Suche in Google Scholar

34. Yon BA, Johnson RK, Harvey-Berino J, Gold BC. The use of a personal digital assistant for dietary self-monitoring does not improve the validity of self-reports of energy intake. J Am Diet Assoc2006;106:1256–9.10.1016/j.jada.2006.05.004Suche in Google Scholar PubMed

35. Lillegaard IT, Andersen LF. Validation of a pre-coded food diary with energy expenditure, comparison of under-reporters v. acceptable reporters. Br J Nutr2005;94:998–1003.10.1079/BJN20051587Suche in Google Scholar

36. Collins FS, Guyer MS, Charkravarti A. Variations on a theme: cataloging human DNA sequence variation. Science1997;278:1580–1.10.1126/science.278.5343.1580Suche in Google Scholar PubMed

37. Lander ES. The new genomics: global views of biology. Science1996;274:536–9.10.1126/science.274.5287.536Suche in Google Scholar PubMed

38. Muller M, Kersten S. Opinion: Nutrigenomics: goals and strategies. Nat Rev Genet2003;4:315–22.10.1038/nrg1047Suche in Google Scholar PubMed

39. Ordovas JM, Corella D. Nutritional genomics. Annu Rev Genomics Hum Genet2004;5:71–118.10.1146/annurev.genom.5.061903.180008Suche in Google Scholar PubMed

40. Bishop JM. Cellular oncogenes and retroviruses. Annu Rev Biochem1983;52:301–54.10.1146/annurev.bi.52.070183.001505Suche in Google Scholar PubMed

41. Balmain A, Gray J, Ponder B. The genetics and genomics of cancer. Nat Genet2003;33(Suppl):238–44.10.1038/ng1107Suche in Google Scholar PubMed

42. Koro CE, Bowlin SJ, Bourgeois N, Fedder DO. Glycemic control from 1988 to 2000 among U.S. adults diagnosed with type 2 diabetes: a preliminary report. Diabetes Care2004;27:17–20.10.2337/diacare.27.1.17Suche in Google Scholar PubMed

43. Kwon G, Marshall CA, Pappan KL, Remedi MS, McDaniel ML. Signaling elements involved in the metabolic regulation of mTOR by nutrients, incretins, and growth factors in islets. Diabetes2004;53(Suppl 3):S225–32.10.2337/diabetes.53.suppl_3.S225Suche in Google Scholar PubMed

44. Nauck MA, Meier JJ. Glucagon-like peptide 1 and its derivatives in the treatment of diabetes. Regul Pept2005;128:135–48.10.1016/j.regpep.2004.07.014Suche in Google Scholar PubMed

45. Kaput J, Swartz D, Paisley E, Mangian H, Daniel WL, Visek WJ. Diet-disease interactions at the molecular level: an experimental paradigm. J Nutr1994;124:1296S–305S.10.1093/jn/124.suppl_8.1296SSuche in Google Scholar PubMed

46. Kaput J, Astley S, Renkema M, Ordovas J, van Ommen B. Harnessing nutrigenomics: development of web-based communication, databases, resources, and tools. Genes Nutr2006;1:5–12.10.1007/BF02829931Suche in Google Scholar PubMed PubMed Central

47. Venter JC, Adams MD, Myers EW, Li PW, Mural RJ, Sutton GG, et al. The sequence of the human genome. Science2001;291:1304–51.Suche in Google Scholar

48. The human genome. Science genome map. Science 2001;291:1218.10.1126/science.291.5507.1218Suche in Google Scholar

49. International HapMap Consortium. A haplotype map of the human genome. Nature 2005;437:1299–320.10.1038/nature04226Suche in Google Scholar PubMed PubMed Central

50. International HapMap Consortium. Integrating ethics and science in the International HapMap Project. Nat Rev Genet 2004;5:467–75.10.1038/nrg1351Suche in Google Scholar PubMed PubMed Central

51. International HapMap Consortium. The International HapMap Project. Nature 2003;426:789–96.10.1038/nature02168Suche in Google Scholar PubMed

52. Garosi P, De Filippo C, van Erk M, Rocca-Serra P, Sansone SA, Elliott R. Defining best practice for microarray analyses in nutrigenomic studies. Br J Nutr2005;93:425–32.10.1079/BJN20041385Suche in Google Scholar

53. Gibney MJ, Walsh M, Brennan L, Roche HM, German B, van Ommen B. Metabolomics in human nutrition: opportunities and challenges. Am J Clin Nutr2005;82:497–503.10.1093/ajcn/82.3.497Suche in Google Scholar

54. Fuchs D, Winkelmann I, Johnson IT, Mariman E, Wenzel U, Daniel H. Proteomics in nutrition research: principles, technologies and applications. Br J Nutr2005;94:302–14.10.1079/BJN20051458Suche in Google Scholar PubMed

55. Ottman R. Gene-environment interaction: definitions and study designs. Prev Med1996;25:764–70.10.1006/pmed.1996.0117Suche in Google Scholar PubMed PubMed Central

Published Online: 2007-03-22
Published in Print: 2007-03-01

©2007 by Walter de Gruyter Berlin New York

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