References
- Abe H, Okuma E, Sekine H, Maeda A, Yoshiue S 1993. Human urinary excretion of L-histidine-related compounds after ingestion of several meats and fish muscle. Int. J. Biochem., 25, 1245–9.
- Aura A-M 2007. Microbial metabolism of dietary phenolic compounds in the colon. Phytochem Rev, 7, 407–29.
- Beckonert O, Keun HC, Ebbels TM, Bundy J, Holmes E, Lindon JC & Nicholson JK 2007. Metabolic profiling, metabolomic and metabonomic procedures for NMR spectroscopy of urine, plasma, serum and tissue extracts. Nat Protoc, 2, 2692–703.
- Bingham S & Riboli E 2004. Diet and cancer–the European Prospective Investigation into Cancer and Nutrition. Nat Rev Cancer, 4, 206–15.
- Bingham SA, Day NE, Luben R, et al. 2003. Dietary fibre in food and protection against colorectal cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC): an observational study. Lancet, 361, 1496–501.
- Block WD, Hubbard RW & Steele BF 1965. Excretion of Histidine and Histidine Derivatives by Human Subjects Ingesting Protein from Different Sources. J Nutr, 85, 419–25.
- Bruce WR, Furrer R, Shangari N, O’Brien PJ, Medline A & Wang YP 2003. Marginal dietary thiamin deficiency induces the formation of colonic aberrant crypt foci (ACF) in rats. Cancer Letters, 202, 125–9.
- Cloarec O, Dumas M-E, Craig A, et al. 2005. Statistical Total Correlation Spectroscopy: Äâ An Exploratory Approach for Latent Biomarker Identification from Metabolic 1H NMR Data Sets. Analytical Chemistry, 77, 1282–9.
- Coen M, Holmes E, Lindon JC & Nicholson JK 2008. NMR-based metabolic profiling and metabonomic approaches to problems in molecular toxicology. Chem Res Toxicol, 21, 9–27.
- Dragsted LO 2010. Biomarkers of meat intake and the application of nutrigenomics. Meat Sci., 84, 301–7.
- Ebbels TMD, Keun HC, Beckonert OP, Bollard ME, Lindon JC, Holmes E & Nicholson JK 2007. Prediction and classification of drug toxicity using probabilistic modeling of temporal metabolic data: The Consortium on Metabonomic Toxicology screening approach. J Proteome Res, 6, 4407–22.
- Fiehn O 2002. Metabolomics–the link between genotypes and phenotypes. Plant Mol Biol, 48, 155–71.
- Holmes E, Loo RL, Stamler J, et al. 2008. Human metabolic phenotype diversity and its association with diet and blood pressure. Nature, 453, 396–400.
- Keun HC & Athersuch TJ 2007. Application of metabonomics in drug development. Pharmacogenomics, 8, 731–41.
- Lindon JC, Keun HC, Ebbels TM, Pearce JM, Holmes E & Nicholson JK 2005. The Consortium for Metabonomic Toxicology (COMET): aims, activities and achievements. Pharmacogenomics, 6, 691–9.
- Myint T, Fraser GE, Lindsted KD, Knutsen SF, Hubbard RW & Bennett HW 2000. Urinary 1-methylhistidine is a marker of meat consumption in black and in white California seventh-day Adventists. Am. J. Epidemiol., 152, 752–5.
- Nicholson JK, Foxall PJ, Spraul M, Farrant RD & Lindon JC 1995. 750 MHz 1H and 1H-13C NMR spectroscopy of human blood plasma. Anal Chem, 67, 793–811.
- Nicholson JK, Holmes E & Wilson ID 2005. Gut microorganisms, mammalian metabolism and personalized health care. Nat. Rev. Microbiol., 3, 431–8.
- Nicholson JK, Lindon JC & Holmes E 1999. ‘Metabonomics’: understanding the metabolic responses of living systems to pathophysiological stimuli via multivariate statistical analysis of biological NMR spectroscopic data. Xenobiotica, 29, 1181–9.
- Park YJ, Volpe SL & Decker EA 2005. Quantitation of carnosine in humans plasma after dietary consumption of beef. J. Agric. Food Chem., 53, 4736–9.
- Pearce JT, Athersuch TJ, Ebbels TM, Lindon JC, Nicholson JK & Keun HC 2008. Robust algorithms for automated chemical shift calibration of 1D 1H NMR spectra of blood serum. Anal Chem, 80, 7158–62.
- Peluso M, Hainaut P, Airoldi L, et al. 2005. Methodology of laboratory measurements in prospective studies on gene-environment interactions: the experience of GenAir. Mutat Res, 574, 92–104.
- Phipps AN, Stewart J, Wright B & Wilson ID 1998. Effect of diet on the urinary excretion of hippuric acid and other dietary-derived aromatics in rat. A complex interaction between diet, gut microflora and substrate specificity. Xenobiotica, 28, 527–37.
- Riboli E 1992. Nutrition and cancer: background and rationale of the European Prospective Investigation into Cancer and Nutrition (EPIC). Ann Oncol, 3, 783–91.
- Riboli E, Hunt KJ, Slimani N, et al. 2002. European prospective investigation into cancer and nutrition (EPIC): study populations and data collection. Public Health Nutr., 5, 1113–24.
- Storey JD 2002. A direct approach to false discovery rates. J Roy Stat Soc B, 64, 479–98.
- Teahan O, Gamble S, Holmes E, Waxman J, Nicholson JK, Bevan C & Keun HC 2006. Impact of analytical bias in metabonomic studies of human blood serum and plasma. Analytical Chemistry, 78, 4307–18.
- Trygg J & Wold S 2003. O2-PLS, a two-block (X-Y) latent variable regression (LVR) method with an integral OSC filter. Journal of Chemometrics, 17, 53–64.
- Vergnaud AC, Norat T, Romaguera D, et al. 2010. Meat consumption and prospective weight change in participants of the EPIC-PANACEA study. Am J Clin Nutr, 92, 398–407.
- Vineis P & Perera F 2007. Molecular epidemiology and biomarkers in etiologic cancer research: the new in light of the old. Cancer Epidemiol Biomarkers Prev, 16, 1954–65.
- Wiseman M 2008. The second World Cancer Research Fund/American Institute for Cancer Research expert report. Food, nutrition, physical activity, and the prevention of cancer: A global perspective. Proceedings of the Nutrition Society, 67, 253–6.
- Wishart DS, Tzur D, Knox C, et al. 2007. HMDB: the Human Metabolome Database. Nucleic Acids Res, 35, D521–6