Metabolomics for measuring phytochemicals, and assessing human and animal responses to phytochemicals, in food science

Molecular Nutrition and Food Research

Volumn 56, Issue 1, 2012, Pages 147-158

  McGhie, Tony K ^a   Rowan, Daryl D ^a  

^a THE NEW ZEALAND INSTITUTE FOR PLANT AND FOOD RESEARCH LIMITED   (New Zealand)

Author keywords

Metabolic profiling; Metabolomics; Nutrition; Phytochemicals; Plant derived foods

Indexed keywords

ANIMAL; CHEMISTRY; EATING; FOOD ANALYSIS; FOOD HANDLING; HUMAN; MASS FRAGMENTOGRAPHY; METABOLISM; METABOLOMICS; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; PLANT; REVIEW; TRANSGENIC PLANT;

ANIMALS; EATING; FOOD ANALYSIS; FOOD TECHNOLOGY; GAS CHROMATOGRAPHY-MASS SPECTROMETRY; HUMANS; MAGNETIC RESONANCE SPECTROSCOPY; METABOLOMICS; PLANTS; PLANTS, GENETICALLY MODIFIED;

ANIMALIA;

EID: 84855302031     PISSN: 16134125     EISSN: 16134133     Source Type: Journal    
DOI: 10.1002/mnfr.201100545     Document Type: Review

References (71)

1. Kim, H. K., Choi, Y. H., Verpoorte, R., NMR-based plant metabolomics: where do we stand, where do we go?. Trends Biotechnol. 2011, 29, 267-275.
2. Dixon, R. A., Strack, D., Phytochemistry meets genome analysis, and beyond. Phytochemistry 2003, 62, 815-816.
3. Saito, K., Matsuda, F., Metabolomics for functional genomics, systems biology, and biotechnology. Annu. Rev. Plant Biol. 2010, 61, 463-489.
4. Wishart, D. S., Metabolomics: applications to food science and nutrition research, Trends Food Sci. Technol. 2008, 19, 482-493.
5. Dixon, R. A., Gang, D. R., Charlton, A. J., Fiehn, O. et al., Perspective - applications of metabolomics in agriculture. J. Agric. Food Chem. 2006, 54, 8984-8994.
6. Fiehn, O., Metabolomics - the link between genotypes and phenotypes. Plant Mol. Biol. 2002, 48, 155-171.
7. Manach, C., Hubert, J., Llorach, R., Scalbert, A., The complex links between dietary phytochemicals and human health deciphered by metabolomics. Mol. Nutr. Food Res. 2009, 53, 1303-1315.
8. Cevallos-Cevallos, J. M., Reyes-de-Corcuera, J. I., Etxeberria, E., Danyluk, M. D., Rodrick, G. E., Metabolomic analysis in food science: a review. Trends Food Sci. Technol. 2009, 20, 557-566.
9. Coulier, L., Tas, A., Thissen, U., Food metabolomics: fact or fiction? LC GC Eur. 2011, 24, 60-71.
10. Gibney, M. J., Walsh, M., Brennan, L., Roche, H. M. et al., Metabolomics in human nutrition: opportunities and challenges. Am. J. Clin. Nutr. 2005, 82, 497-503.
11. Scalbert, A., Brennan, L., Fiehn, O., Hankemeier, T. et al., Mass-spectrometry-based metabolomics: limitations and recommendations for future progress with particular focus on nutrition research. Metabolomics 2009, 5, 435-458.
12. Stewart, D., Shepherd, L. V. T., Hall, R. D., Fraser, P. D., Crops and tasty, nutritious foods - how can metabolomics help?. Annu. Plant Rev. 2011, 43, 181-217.
13. Lisec, J., Schauer, N., Kopka, J., Willmitzer, L., Fernie, A. R., Gas chromatography mass spectrometry-based metabolite profiling in plants. Nat. Protoc. 2006, 1, 387-396.
14. Kim, H., Verpoorte, R., Sample preparation for plant metabolomics. Phytochem. Anal. 2010, 21, 4-13.
15. Allwood, J. W., Goodacre, R., An introduction to liquid chromatography-mass spectrometry instrumentation applied in plant metabolomic analyses. Phytochem. Anal. 2010, 21, 33-47.
16. De Vos, R. C. H., Moco, S., Lommen, A., Keurentjes, J. J. B. et al., Untargeted large-scale plant metabolomics using liquid chromatography coupled to mass spectrometry. Nat. Protoc. 2007, 2, 778-791.
17. McDougall, G., Martinussen, I., Stewart, D., Towards fruitful metabolomics: high throughput analyses of polyphenol composition in berries using direct infusion mass spectrometry. J. Chromatogr. B Anal. Technol. Biomed. Life Sci. 2008, 871, 362-369.
18. Liland, K. H., Multivariate methods in metabolomics - from pre-processing to dimension reduction and statistical analysis. Trend Anal. Chem. 2011, 30, 827-841.
19. Brown, M., Dunn, W. B., Dobson, P., Patel, Y. et al., Mass spectrometry tools and metabolite-specific databases for molecular identification in metabolomics. Analyst 2009, 134, 1322-1332.
20. Scalbert, A., Andres-Lacueva, C., Arita, M., Kroon, P. et al., Databases on food phytochemicals and their health-promoting effects. J. Agric. Food Chem. 2011, 59, 4331-4348.
21. Thissen, U., Coulier, L., Overkamp, K. M., Jetten, J. et al., A proper metabolomics strategy supports efficient food quality improvement: a case study on tomato sensory properties. Food Qual. Preference 2011, 22, 499-506.
22. McGhie, T. K., Currie, A. J. in: Tomás-Barberán, F. A., Gil, M. I. (Eds.), Improving the Health-Promoting Properties of Fruit And Vegetable Products, Woodhead Publishing Ltd., Cambridge 2008, pp. 301-325.
23. Harrigan, G. G., Martino-Catt, S., Glenn, K. C., Metabolomics, metabolic diversity and genetic variation in crops. Metabolomics 2007, 3, 259-272.
24. Schauer, N., Semel, Y., Roessner, U., Gur, A. et al., Comprehensive metabolic profiling and phenotyping of interspecific introgression lines for tomato improvement. Nat. Biotechnol. 2006, 24, 447-454.
25. Rao, A. V., Snyder, D. M., Raspberries and human health: A review. J. Agric. Food Chem. 2010, 58, 3871-3883.
26. Stewart, D., McDougall, G. J., Sungurtas, J., Verrall, S. et al., Metabolomic approach to identifying bioactive compounds in berries: advances toward fruit nutritional enhancement. Mol. Nutr. Food Res. 2007, 51, 645-651.
27. Dobson, G., Shepherd, T., Verrall, S. R., Conner, S. et al., Phytochemical diversity in tubers of potato cultivars and landraces using a GC-MS metabolomics approach. J. Agric. Food Chem. 2008, 56, 10280-10291.
28. Dobson, G., Shepherd, T., Verrall, S. R., Griffiths, W. D. et al., A Metabolomics study of cultivated potato (Solanum tuberosum) groups Andigena, Phureja, Stenotomum, and Tuberosum using gas chromatography-mass spectrometry. J. Agric. Food Chem. 2010, 58, 1214-1223.
29. Roessner, U., Wagner, C., Kopka, J., Trethewey, R. N., Willmitzer, L., Simultaneous analysis of metabolites in potato tuber by gas chromatography-mass spectrometry. Plant J. 2000, 23, 131-142.
30. Rowan, D. D., Hunt, M. B., Alspach, P. A., Whitworth, C. J., Oraguzie, N. C., Heritability and genetic and phenotypic correlations of apple (Malus x domestica) fruit volatiles in a genetically diverse breeding population. J. Agric. Food Chem. 2009, 57, 7944-7952.
31. Hazebroek, J., Harp, T., Shi, J., Wang, H., Metabolomic Analysis of Low Phytic Acid Maize Kernels, Springer, Dordrecht 2007.
32. Giovannoni, J. J., Breeding new life into plant metabolism. Nat. Biotechnol. 2006, 26, 418-419.
33. Fernie, A. R., Schauer, N., Metabolomics-assisted breeding: A viable option for crop improvement? Trends Genetics 2009, 25, 39-48.
34. McGhie, T. K., Hunt, M. B., Barnett, L. E., Cultivar and growing region determine the antioxidant polyphenolic concentration and composition of apples grown in New Zealand. J. Agric. Food Chem. 2005, 53, 3065-3070.
35. Choi, M. Y., Choi, W., Park, J. H., Lim, J., Kwon, S. W., Determination of coffee origins by integrated metabolomic approach of combining multiple analytical data. Food Chem. 2010, 121, 1260-1268.
36. Cavaliere, B., De Nino, A., Hayet, F., Lazez, A. et al., A metabolomic approach to the evaluation of the origin of extra virgin olive oil: a convenient statistical treatment of mass spectrometric analytical data. J. Agric. Food Chem. 2007, 55, 1454-1462.
37. Watkins, C. B., Bramlage, W. J., Cregoe, B. A., Superficial scald of Granny Smith apples is expressed as a typical chilling injury. J. Am. Soc. Horticultural Sci. 1995, 12, 88-94.
38. Rudell, D. R., Mattheis, J. P., Hertog, M. L. A. T. M., Metabolomic change precedes apple superficial scald symptoms. J. Agric. Food Chem. 2009, 57, 8459-8466.
39. Rochfort, S., Ezernieks, V., Bastian, S. E. P., Downey, M. O., Sensory attributes of wine influenced by variety and berry shading discriminated by NMR metabolomics. Food Chem. 2010, 121, 1296-1304.
40. OECD, An Introduction to the food/feed safety concensus documents of the Task Force. Series on the Safety of Novel Foods and Feeds 2006, 14: ENN/JM/MONO(2006)10.
41. Kusano, M., Redestig, H., Hirai, T., Oikawa, A. et al., Covering chemical diversity of genetically modified tomatoes using metabolomics for objective substantial equivalence assessment. PLoS One 2011, 6, DOI: 10.1371/journal.pone.0016989.
42. Harrigan, G. G., Lundry, D., Drury, S., Berman, K. et al., Natural variation in crop composition and the impact of transgenesis. Nat. Biotechnol. 2010, 28, 402-404.
43. Catchpole, G. S., Beckmann, M., Enot, D. P., Mondhe, M. et al., Hierarchical metabolomics demonstrates substantial compositional similarity between genetically modified and conventional potato crops. Proc. Natl. Acad. Sci. USA 2005, 102, 14458-14462.
44. McGhie, T. K., Ainge, G. D., Barnett, L. E., Cooney, J. M., Jensen, D. J., Anthocyanin glycosides from berry fruit are absorbed and excreted unmetabolized by both humans and rats. J. Agric. Food Chem. 2003, 51, 4539-4548.
45. McGhie, T. K., Walton, M. C., The bioavailability and absorption of anthocyanins: towards a better understanding. Mol. Nutr. Food Res. 2007, 51, 702-713.
46. Spencer, J. P. E., El Mohsen, M. M. A., 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, 12-22.
47. Perez-Jimenez, J., Hubert, J., Hooper, L., Cassidy, A. et al., Urinary metabolites as biomarkers of polyphenol intake in humans: a systematic review. Am. J. Clin. Nutr. 2010, 92, 801-809.
48. Gonthier, M. -P., Verny, M. -A., Besson, C., Rémésy, C., Scalbert, A., Chlorogenic acid bioavailability largely depends on its metabolism by the gut microflora in rats. J. Nutr. 2003, 133, 1853-1859.
49. Scalbert, A., Williamson, G., Dietary intake and bioavailability of polyphenols. J. Nutr. 2000, 130, 2073S-2085S.
50. Aura, A.-M., Mattila, I., Seppanen-Laakso, T., Miettinen, J. et al., Microbial metabolism of catechin stereoisomers by human faecal microbiota: comparison of targeted analysis and a non-targeted metabolomics method. Phytochem. Lett. 2008, 1, 18-22.
51. Wikoff, W. R., Anfora, A. T., Liu, J., Schultz, P. G. et al., Metabolomics analysis reveals large effects of gut microflora on mammalian blood metabolites. Proc. Natl. Acad. Sci. USA 2009, 106, 3698-3703.
52. Primrose, S., Draper, J., Elsom, R., Kirkpatrick, V. et al., Metabolomics and human nutrition. Br. J. Nutr. 2011, 105, 1277-1283.
53. van Duynhoven, J., Vaughan, E. E., Jacobs, D. M., Kemperman, R. A. et al., Metabolic fate of polyphenols in the human superorganism. Proc. Natl. Acad. Sci. USA 2011, 108, 4531-4538.
54. Mennen, L. I., Sapinho, D., Ito, H., Bertrais, S. et al., Urinary flavonoids and phenolic acids as biomarkers of intake for polyphenol-rich foods. Br. J. Nutr. 2006, 96, 191-198.
55. van Dorsten, F. A., Grun, C. H., van Velzen, E. J. J., Jacobs, D. M. et al., The metabolic fate of red wine and grape juice polyphenols in humans assessed by metabolomics. Mol. Nutr. Food Res. 2010, 54, 897-908.
56. Phipps, A. N., Stewart, J., Wright, B., Wilson, I. D., Effect of diet on the urinary excretion of hippuric acid and other dietary-derived aromatics in rat. A complex interaction between diet, gut micoflora and substrate specificity. Xenobiotica 1998, 28, 527-537.
57. Parveen, I., Moorby, J. M., Fraser, M. D., Allison, G. G., Kopka, J., Application of gas chromatography-mass spectrometry metabolite profiling techniques to the analysis of heathland plant diets of sheep. J. Agric. Food Chem. 2007, 55, 1129-1138.
58. Fardet, A., Llorach, R., Martin, J.-F. O., Besson, C. et al., A liquid chromatography-quadrupole time-of-flight (LCQTOF)-based metabolomic approach reveals new metabolic effects of catechin in rats fed high-fat diets. J. Proteome Res. 2008, 7, 2388-2398.
59. Lin, H.-M., Edmunds, S. J., Zhu, S., Helsby, N. A. et al., Metabolomic analysis reveals differences in urinary excretion of kiwifruit-derived metabolites in a mouse model of inflammatory bowel disease. Mol. Nutr. Food Res. 2011, in press, DOI: 10.1002/mnfr.201100302.
60. Slupsky, C. M., Rankin, K. N., Wagner, J., Fu, H. et al., Investigations of the effects of gender, diurnal variation, and age in human urinary metabolomic profiles. Anal. Chem. 2007, 79, 6995-7004.
61. Llorach, R., Garrido, I., Monagas, M. A., Urpi-Sarda, M. et al., Metabolomics study of human urinary metabolome modifications after intake of almond (Prunus dulcis (Mill.) D.A. Webb) Skin Polyphenols.) J. Proteome Res. 2010, 9, 5859-5867.
62. Assfalg, M., Bertini, I., Colangiuli, D., Luchinat, C. et al., Evidence of different metabolic phenotypes in humans. Proc. Natl. Acad. Sci. 2008, 105, 1420-1424.
63. Godzien, J., Ciborowski, M., Angulo, S., Ruperez, F. J. et al., Metabolomic approach with LC-QTOF to study the effect of a nutraceutical treatment on urine of diabetic rats. J. Proteome Res. 2011, 10, 837-844.
64. Liang, X., Chen, X., Liang, Q., Zhang, H. et al., Metabonomic study of Chinese medicine Shuanglong formula as an effective treatment for myocardial infarction in rats. J. Proteome Res. 2011, 10, 790-799.
65. Urpi-Sarda, M., Llorach, R., Khan, N., Monagas, M. et al., Effect of milk on the urinary excretion of microbial phenolic acids after cocoa powder consumption in humans. J. Agric. Food Chem. 2010, 58, 4706-4711.
66. Monagas, M., Khan, N., Andres-Lacueva, C., Casas, R. et al., Effect of cocoa powder on the modulation of inflammatory biomarkers in patients at high risk of cardiovascular disease. Am. J. Clin. Nutr. 2009, 90, 1144-1150.
67. Martin, F. P., Rezzi, S., Philippe, D., Tornier, L. et al., Metabolic assessment of gradual development of moderate experimental colitis in il-10 deficient mice. J. Proteome Res. 2009, 8, 2376-2387.
68. Bakker, G. C. M., van Erk, M. J., Pellis, L., Wopereis, S. et al., An antiinflammatory dietary mix modulates inflammation and oxidative and metabolic stress in overweight men: a nutrigenomics approach. Am. J. Clin. Nutr. 2010, 91, 1044-1059.
69. Son, H. S., Hwang, G. S., Kim, K. M., Ahn, H. J. et al., Metabolomic studies on geographical grapes and their wines using H-1 NMR analysis coupled with multivariate statistics. J. Agric. Food Chem. 2009, 57, 1481-1490.
70. Lee, J. E., Lee, B. J., Chung, J. O., Hwang, J. A. et al., Geographical and climatic dependencies of green tea (Camellia sinensis) metabolites: a H-1 NMR-based metabolomics study. J. Agric. Food Chem. 2010, 58, 10582-10589.
71. Ku, K. M., Choi, J. N., Kim, J., Kim, J. K. et al., Metabolomics analysis reveals the compositional differences of shade grown tea (Camellia sinensis L.). J. Agric. Food Chem. 2010, 58, 418-426.