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Perspective

A decade of advances in metabonomics

, MA (Hons) PhD CSci MRSC (Research Fellow)
Pages 129-136 | Published online: 10 Jan 2011

Bibliography

  • Nicholson JK, Lindon JC, Holmes E. ‘Metabonomics’: understanding the metabolic responses of living systems to pathophysiological stimuli via multivariate statistical analysis of biological NMR spectroscopic data. Xenobiotica 1999;29(11):1181-9
  • Jellum E, Bjornson I, Nesbakken R, Classification of human cancer cells by means of capillary gas chromatography and pattern recognition analysis. J Chrom 1981;217:231-7
  • Gartland KPR, Sanins SM, Nicholson JK, Pattern recognition analysis of high resolution 1H NMR spectra of urine. A nonlinear mapping approach to the classification of toxicological data. NMR Biomed 1990;3(4):166-72
  • Lindon JC, Nicholson JK, Holmes E, Everett JR. Metabonomics: metabolic processes studied by NMR spectroscopy of biofluids. Conc Mag Res 2000;12(5):280-320
  • Nicholson JK, Conelly J, Lindon JC, Holmes E. Metabonomics: a platform for studying drug toxicity and gene function. Nat Rev Drug Disc 2002;1:153-61
  • Espina JR, Shockcor JP, Herron WJ, Detection of in vivo biomarkers of phospholipidosis using NMR-based metabonomic approaches. Mag Res Chem 2001;39:559-65
  • Holmes E. The evolution of metabolic profiling in parasitology. Parasitology 2010;137:1437-49
  • Teague CR, Dhabhar FS, Barton RH, Metabonomic studies on the physiological effects of acute and chronic psychological stress in sprague-dawley rats. J Prot Res 2007;6:2080-93
  • Nicholson JK, Holmes E, Wilson ID. Gut microorganisms, mammalian metabolism and personalized health care. Nat Rev Microb 2005; published online 8 April 2005, doi:10.1038/nrmicro1152
  • Dumas M-E, Barton RH, Toye A, Metabolic profiling reveals a contribution of gut microbiota to fatty liver phenotype in insulin-resistant mice. PNAS 2006;103(33):12511-16
  • van Duynhoven J, Vaughan EE, Jacobs DM, Metabolic fate of polyphenols in the human superorganism. PNAS; published ahead of print June 25, 2010, doi:10.1073/pnas.1000098107
  • Holmes E, Loo R-L, Stamler J, Human metabolic phenotype diversity and its association with diet and blood pressure. Nature 2008;453:396-401
  • UK Biobank project. Available from: http://www.ukbiobank.ac.uk/
  • Schulz J, Pretzsch M, Khalaf I, Quantitative monitoring of extracellular matrix production in bone implants by 13C and 31P solid-state nuclear magnetic resonance spectroscopy. Calcif Tissue Int 2007;80:275-85
  • Scalbert A, Brennan L, Fiehn O, Mass-spectrometry-based metabolomics: limitations and recommendations for future progress with particular focus on nutrition research. Metabolomics 2009;5:435-58
  • Novak BJ, Blake DR, Meinardi S, Exhaled methyl nitrate as a noninvasive marker of hyperglycemia in type 1 diabetes. PNAS 2007:104(40):15613-18
  • Vasosa PR, Comment A, Sarkar R, Long-lived states to sustain hyperpolarized magnetization. PNAS 2009;106(44):18469-73
  • Fonville JM, Richards SE, Barton RH, The evolution of partial least squares models and related chemometric approaches in metabonomic research (Special Issue). J Chemom 2010; DOI: 10.1002/cem.1359
  • Beckwith-Hall BM, Brindle JT, Barton RH, Application of orthogonal signal correction to minimise the effects of physical and biological variation in high resolution 1H NMR spectra of biofluids. Analyst 2002;127:1283-8
  • Trygg J, Wold S. O2-PLS, a two-block (X-Y) latent variable regression (LVR) method with an integral OSC filter. J Chemom 2003;17:53-64
  • Cloarec O, Dumas M-E, Craig A, Statistical total correlation spectroscopy: an exploratory approach for latent biomarker identification from metabolic 1H NMR data sets. Anal Chem 2005;77:1282-9
  • Sasic S. Two-dimensional correlation analysis of nuclear magnetic resonance data. Appl Spectr 2008;62(8):840-6
  • Kirwan GM, Coffey VG, Niere JO, Spectroscopic correlation analysis of NMR-based metabonomics in exercise science. Anal Chim Acta 2009;652:173-9
  • Kang J, Choi M-Y, Kang S, Application of a 1H Nuclear magnetic resonance (NMR) metabolomics approach combined with orthogonal projection to latent structure-discriminant analysis as an efficient tool for discrimination between Korean and Chinese herbal medicines. J Agric Food Chem 2008;56:11589-95
  • Blaise BJ, Navratil V, Domange C, Two-dimensional statistical recoupling for the identification of perturbed metabolic networks from NMR Spectroscopy. J Prot Res 2010;9:4513-20
  • Crockford DJ, Holmes E, Lindon JC, Statistical heterospectroscopy, an approach to the integrated analysis of NMR and UPLC-MS data sets: application in metabonomic toxicology studies. Anal Chem 2006;78(2):363-71
  • Rantalainen M, Cloarec O, Beckonert O, Statistically integrated metabonomic-proteomic studies on a human prostate cancer xenograft model in mice. J Prot Res 2006;5:2642-55
  • Richards SE, Dumas M-E, Fonville JM, Intra- and inter-omic fusion of metabolic profiling data in a systems biology framework. Chemom Int Lab Sys 2010;104:121-31
  • Sands CJ, Coen M, Maher AD, Statistical total correlation spectroscopy editing of 1H NMR spectra of biofluids: application to drug metabolite profile identification and enhanced information recovery. Anal Chem 2009;81:6458-66
  • Fonville JM, Maher AD, Coen M, Evaluation of full-resolution J-Resolved 1H NMR projections of biofluids for metabonomics information retrieval and biomarker identification. Anal Chem 2010;82:1811-21
  • Makinen V-P, Soininen P, Forsblom C, 1H NMR metabonomics approach to the disease continuum of diabetic complications and premature death. Mol Sys Biol 2008;4:167, 1-10
  • Wongravee K, Lloyd GR, Silwood CJ, Supervised self organizing maps for classification and determination of potentially discriminatory variables: illustrated by application to nuclear magnetic resonance metabolomic profiling. Anal Chem 2010;82:628-38
  • Kyoto Encyclopedia of Genes and Genomes. Available from: http://www.genome.jp/kegg/
  • Beckonert O, Keun HC, Ebbels TMD, Metabolic profiling, metabolomic and metabonomic procedures for NMR spectroscopy of urine, plasma, serum and tissue extracts. Nat Prot 2007;2(11):2692-703
  • Wohlgemuth G, Haldiya PK, Willighagen E, The chemical translation service – a web-based tool to improve standardization of metabolomic reports. Bioinformatics 2010;26(20):6247-8
  • Xia J, Psychogios N, Young N, Wishart DS. Metaboanalyst: a web server for metabolomic data analysis and interpretation. Nucl Acids Res 2009;37(Web Server issue):W652-60
  • Wishart DS, Knox C, Guo AC, HMDB: a knowledgebase for the human metabolome. Nucl Acids Res 2009;37(Database issue):D603-10
  • Robinette SL, Zhang F, Bruschweiler-Li L, Bruschweiler R. Web server based complex mixture analysis by NMR. Anal Chem 2008;80:3606-11
  • Gowen AA, Downey G, Esquerre C, O’Donnell CP. Preventing over-fitting in PLS calibration models of near-infrared (NIR) spectroscopy data using regression coefficients. J Chemom 2010; DOI: 10.1002/cem.1349
  • Barton RH, Waterman D, Bonner FW, The influence of EDTA and citrate anticoagulant addition to human plasma on information recovery from NMR-based metabolic profiling studies. Mol BioSys 2010;6:215-24
  • Dieterle F, Ross A, Schlotterbeck G, Senn H. Probabilistic quotient normalization as robust method to account for dilution of complex biological mixtures. Application in 1H NMR metabonomics. Anal Chem 2006;78(13):4281-90
  • Bylesjo M, Cloarec O, Rantalainen M. Normalization and closure. Chapter 2.07 in comprehensive chemometrics: chemical and biochemical data analysis, Brown SD, Tauler R, Walczak B, Editors, Elsevier 2009; ISBN: 9780444527028
  • Schlavo S, Ebbel E, Sharma S, Metabolite identification using a nanoelectrospray LC-EC-array-MS integrated system. Anal Chem 2008;80:5912-23
  • Weber RJM, Viant MR. MI-Pack: increased confidence of metabolite identification in mass spectra by integrating accurate masses and metabolic pathways. Chemom Int Lab Syst 2010;104:75-82
  • Kourti T. Multivariate dynamic data modeling for analysis and statistical process control of batch processes, start-ups and grade transitions. J Chemom 2003;17:93-109
  • Antti H, Bollard ME, Ebbels T, Batch statistical processing of 1H NMR-derived urinary spectral data. J Chemom 2002;16:461-8
  • Keun HC, Ebbels TMD, Bollard ME, Geometric trajectory analysis of metabolic responses to toxicity can define treatment specific profiles. Chem Res Tox 2004;17(5):579-87
  • Clayton TA, Baker D, Lindon JC, Pharmacometabonomic identification of a significant host-microbiome metabolic interaction affecting human drug metabolism. PNAS 2009;106(34):14728-33
  • Kinross JM, Alkhamesi N, Barton RH, Global metabolic phenotyping in an experimental laparotomy model of surgical trauma. J Prot Res 2010; DOI: 10.1021/pr1003278
  • Oppenheimer SR, Mi D, Sanders ME, Caprioli RM. Molecular analysis of tumor margins by MALDI mass spectrometry in renal carcinoma. J Prot Res 2010;9:2182-90
  • Available from: http://valdeal.com/inventions/success-stories/life-sciences/intelligent-surgical-device
  • Darzi A. Sci-fi medicine: an odyssey (BMJ 2009;339: b4312). BMJ 2009;339:976

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