Current practice of liquid chromatography-mass spectrometry in metabolomics and metabonomics

Journal of Pharmaceutical and Biomedical Analysis

Volumn 87, Issue , 2014, Pages 12-25

  Gika, Helen G ^a   Theodoridis, Georgios A ^a   Plumb, Robert S ^b   Wilson, Ian D ^b  

^a ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

Disease biomarker discovery; LC MS; Metabolic profiling; Metabolomics; Metabonomics

Indexed keywords

DATA ANALYSIS; GENETIC ASSOCIATION; GENOMICS; HUMAN; LIQUID CHROMATOGRAPHY; MASS FRAGMENTOGRAPHY; METABOLOMICS; NONHUMAN; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; PRIORITY JOURNAL; PROTEOMICS; REVERSED PHASE LIQUID CHROMATOGRAPHY; REVIEW;

DISEASE BIOMARKER DISCOVERY; LC-MS; METABOLIC PROFILING; METABOLOMICS; METABONOMICS;

ANIMALS; BIOLOGICAL MARKERS; BIOMEDICAL RESEARCH; CHROMATOGRAPHY, LIQUID; HUMANS; MASS SPECTROMETRY; METABOLOMICS; RESEARCH DESIGN;

EID: 84889567618     PISSN: 07317085     EISSN: 1873264X     Source Type: Journal    
DOI: 10.1016/j.jpba.2013.06.032     Document Type: Review

References (120)

1. Kell D.B. Metabolomics and systems biology: making sense of the soup. Curr. Opin. Microbiol. 2004, 7:296-307.
2. Nicholson J.K., Connelly J., Lindon J.C., Holmes E. Metabonomics: a platform for studying drug toxicity and gene function. Nat. Rev. Drug Discov. 2002, 1:153-161.
3. Nicholson J.K., Lindon J.C. Systems biology: Metabonomics. Nature 2008, 455:1054-1056.
4. Wishart D.S., Tzur D., Knox C., Eisner R., Guo A.C., Young N., et al. HMDB: the Human Metabolome Database. Nucleic Acids Res. 2007, 35:D521-D526.
5. Theodoridis G.A., Gika H.G., Want E.J., Wilson I.D. Liquid chromatography-mass spectrometry based global metabolite profiling: a review. Anal. Chim. Acta 2012, 711:7-16.
6. Yanes O., Tautenhahn R., Patti G.J., Siuzdak G. Expanding coverage of the metabolome for global metabolite profiling. Anal. Chem. 2011, 83:2152-2161.
7. Robinette S.L., Holmes E., Nicholson J.K., Dumas M.E. Genetic determinants of metabolism in health and disease: from biochemical genetics to genome-wide associations. Genome Med. 2012, 4:30.
8. Tang J., Tan C.Y., Oresic M., Vidal-Puig A. Integrating post-genomic approaches as a strategy to advance our understanding of health and disease. Genome Med. 2009, 1:35.
9. Griffin J.L., Rosiers C.D. Applications of metabolomics and proteomics to the mdx mouse model of Duchenne muscular dystrophy: lessons from downstream of the transcriptome. Genome Med. 2009, 1:32.
10. Metz T.O. Metabolic Profiling: Methods and Protocols. Methods in Molecular Biology, Springer Protocols 2011, Humana Press, Heidelberg.
11. Vaidyabnathan S., Harrigan G.G., Goodacre R. Metabolome Analyses: Strategies for Systems Biology 2005, Springer, New York.
12. Holmes E., Wilson I.D., Nicholson J.K. Metabolic phenotyping in health and disease. Cell 2008, 134:714-717.
13. Wilson I.D. Drugs, bugs and personalized medicine: pharmacometabonomics enters the ring. PNAS 2009, 106:14187-14188.
14. Nicholson J.K., Wilson I.D., Lindon J.C. Pharmacometabonomics as an effector for personalized medicine. Pharmacogenomics 2011, 12:103-111.
15. Robertson D.G., Lindon J., Nicholson J.K., Holmes E. Metabonomics in Toxicity Assessment 2005, Taylor & Francis Group, Boca Raton.
16. Last R.L., Jones A.D., Shachar-Hill Y. Towards the plant metabolome and beyond. Nat. Rev. Mol. Cell Biol. 2007, 8:167-174.
17. Cavaliere B., De Nino A., Hayet F., Lazez A., Macchione B., Moncef C., 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.
18. Kinross J.M., Darzi A.W., Nicholson J.K. Gut microbiome-host interactions in health and disease. Genome Med. 2011, 3:14.
19. Nicholson J.K., Wilson I.D. High resolution proton magnetic resonance spectroscopy of biological fluids. Prog. Nucl. Magn. Reson. Spectrosc. 1989, 21:449-501.
20. Theodoridis G., Gika H.G., Wilson I.D. Mass spectrometry-based holistic analytical approaches for metabolite profiling in systems biology studies. Mass Spectrom. Rev. 2011, 30:884-906.
21. Theodoridis G., Gika H.G., Wilson I.D. LC-MS-based methodology for global metabolite profiling in metabonomics/metabolomics. TrAC Trends Anal Chem. 2008, 27:251-260.
22. Guallar-Hoyas C., Turner M.A., Blackburn G.A., Wilson I.D., Thomas C.L.P. A workflow for the metabolomics/metabonomic investigation of exhaled breath using a thermal desorption GC-MS. Bioanaylsis 2012, 4:2227-2237.
23. Soga T., Baran R., Suematsu M., Ueno Y., Ikeda S., Sakurakawa T., Kakazu Y., Ishikawa T., Robert M., Nishioka T., Tomita M. Differential metabolomics reveals ophthalmic acid as an oxidative stress biomarker indicating hepatic glutathione consumption. J. Biol. Chem. 2006, 281:16768-16776.
24. García-Pérez I., Whitfield P., Bartlett A., Angulo S., Legido-Quigley C., Hanna-Brown M., Barbas C. Metabolic fingerprinting of Schistosoma mansoni infection in mice urine with capillary electrophoresis. Electrophoresis 2008, 29:3201-3206.
25. Ramautar R., Nevedomskaya E., Mayboroda O.A., Deelder A.M., Wilson I.D., Gika H.G., Theodoridis G.A., Somsen G.W., de Jong G.J. Metabolic profiling of human urine by CE-MS using a positively charged capillary coating and comparison with UPLC-MS. Mol. Biosys. 2011, 7:194-199.
26. 1H-NMR and LC-MS/MS confirms altered metabolic pathways in diabetes. PLoS ONE 2010, 5:e10538.
27. Veselkov K.A., Vingara L.K., Masson P., Robinette S.L., Want E., Li J.V., et al. Optimized preprocessing of ultra-performance liquid chromatography/mass spectrometry urinary metabolic profiles for improved information recovery. Anal. Chem. 2011, 83:5864-5872.
28. Gika H.G., Theodoridis G.A., Wilson I.D. Liquid chromatography and ultra-performance liquid chromatography-mass spectrometry fingerprinting of human urine: sample stability under different handling and storage conditions for metabonomics studies. J. Chromatogr. A 2008, 1189:314-322.
29. Want E.J., Wilson I.D., Gika H., Theodoridis G., Plumb R.S., Shockcor J., Holmes E., Nicholson J.K. Global metabolic profiling procedures for urine using UPLC-MS. Nat. Protoc. 2010, 5:1005-1018.
30. Gika H.G., Theodoridis G.A., Earll M., Snyder R.W., Sumner S.J., Wilson I.D. Does the mass spectrometer define the marker? A comparison of global metabolite profiling data generated simultaneously via UPLC-MS on two different mass spectrometers. Anal. Chem. 2010, 82:8226-8234.
31. Bijlsma S., Bobeldijk I., Verheij E.R., Ramaker R., Kochhar S., Macdonald I.A., et al. Large-scale human metabolomics studies: a strategy for data (pre-) processing and validation. Anal. Chem. 2006, 78:567-574.
32. 1H NMR spectroscopy-based metabolic phenotyping studies. Anal. Chem. 2007, 79:5204-5211.
33. Dunn W.B., Broadhurst D., Begley P., Zelena E., Francis-McIntyre S., Anderson N., Brown M., Knowles J.D., Halsall A., Haselden J.N., Nicholls A.W., Wilson I.D., Kell D.B., Goodacre R. The Human Serum Metabolome (HUSERMET) Consortium, Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupled to mass spectrometry. Nat. Protoc. 2011, 6:1-24.
34. Want E.J., Masson P., Michopoulos F., Wilson I.D., Theodoridis G., Plumb R.S., Shockcor J., Loftus N., Holmes E., Nicholson J.K. Global metabolic profiling of animal and human tissues via UPLC-MS. Nat. Protoc. 2013, 8:17-32.
35. Zelena E., Dunn W.B., Broadhurst D., Francis-McIntyre S., Carroll K.M., Begley P., et al. Development of a robust and repeatable UPLC-MS method for the long-term metabolomic study of human serum. Anal. Chem. 2009, 81:1357-1364.
36. Gika H.G., Macpherson E., Theodoridis G.A., Wilson I.D. Evaluation of the repeatability of ultra-performance liquid chromatography-TOF-MS for global metabolic profiling of human urine samples. J. Chromatogr. B 2008, 871:299-305.
37. Gika H.G., Theodoridis G.A., Wingate J.E., Wilson I.D. Within-day reproducibility of an HPLC-MS-based method for metabonomic analysis: application to human urine. J. Proteome Res. 2011, 6:3291-3303.
38. Dunn W.B., Wilson I.D., Nicholls A.W., Broadhurst D. The importance of experimental design and quality control samples in large-scale and MS-driven untargeted metabolomics studies of humans. Bioanalysis 2012, 4:2249-2264.
39. Michopoulos F. UPLC-MS-based analysis of human plasma for metabonomics using solvent precipitation or solid phase extraction. J. Proteome Res. 2009, 8:2114.
40. Arita M. What can metabolomics learn from genomics and proteomics?. Curr. Opin. Biotechnol. 2009, 20:610-615.
41. Ramos L. Critical overview of selected contemporary sample preparation techniques. J. Chromatogr. A 2012, 1221:84-98.
42. Bruce S.J., Tavazzi I., Parisod V., Rezzi S., Kochhar S., Guy P.A. Investigation of human blood plasma sample preparation for performing metabolomics using ultrahigh performance liquid chromatography/mass spectrometry. Anal. Chem. 2009, 81:3285-3296.
43. Psychogios N., Hau D.D., Peng J., Guo A.C., Mandal R., Bouatra S., et al. The human serum metabolome. PLoS ONE 2011, 6:e16957.
44. Dettmer K., Almstetter M.F., Appel I.J., Nürnberger N., Schlamberger G., Gronwald W., et al. Comparison of serum versus plasma collection in gas chromatography-mass spectrometry-based metabolomics. Electrophoresis 2010, 31:2365-2373.
45. Denery J.R., Nunes A.A.K., Dickerson T.J. Characterization of differences between blood sample matrices in untargeted metabolomics. Anal. Chem. 2011, 83:1040-1047.
46. Michopoulos F., Lai L., Gika H., Theodoridis G., Wilson I. UPLC-MS-based analysis of human plasma for metabonomics using solvent precipitation or solid phase extraction. J. Proteome Res. 2009, 8:2114-2121.
47. Michopoulos F.F., Edge A.M., Theodoridis G., Wilson I.D. Application of turbulent flow chromatography to the metabonomics analysis of human plasma: comparison with protein precipitation. J. Sep. Sci. 2010, 33:1472-1479.
48. Michopoulos F., Theodoridis G., Smith C.J., Wilson I.D. Metabolite profiles from dried biofluids spots for metabonomics studies using UPLC combined with oaToF-MS. J. Proteome Res. 2010, 9:3328-3334.
49. Michopoulos F., Theodoridis G.G., Smith C.J., Wilson I.D. Metabolite profiles from dried blood spots for metabonomic studies using UPLC combined with oaToF-MS: effects of different papers and sample storage stability. Bioanalysis 2011, 3:2757-2767.
50. Theodoridis G., Gika H., Franceschi P., Caputi L., Arapitsas P., Scholz M., et al. LC-MS based global metabolite profiling of grapes: solvent extraction protocol optimisation. Metabolomics 2012, 8:175-185.
51. Masson P., Alves A.C., Ebbels T.M.D., Nicholson J.K., Want E.J. Optimization and evaluation of metabolite extraction protocols for untargeted metabolic profiling of liver samples by UPLC-MS. Anal. Chem. 2010, 82:7779-7786.
52. Masson P., Spagou K., Nicholson J.K., Want E.J. Technical and biological variation in UPLC-MS-based untargeted metabolic profiling of liver extracts: application in an experimental toxicity study on galactosamine. Anal. Chem. 2011, 111. 1116-1123.
53. Wilson I.D., Nicholson J.K., Castro-Perez J., Granger J.H., Johnson K., Smith B., Plumb R. High resolution ultra performance liquid chromatography coupled to oa-TOF mass spectrometry as a tool for differential metabolic pathway profiling in functional genomic studies. J. Proteome Res. 2005, 4:591-598.
54. Myint K.T., Uehara T., Aoshima K., Oda Y. Polar anionic metabolome analysis by nano-LC/MS with a metal chelating agent. Anal. Chem. 2009, 81:7766-7772.
55. Uehara T., Yokoi A., Aoshima K., Tanaka S., Kadowaki T., Tanaka M., et al. Quantitative phosphorus metabolomics using nanoflow liquid chromatography-tandem mass spectrometry and culture-derived comprehensive global internal standards. Anal. Chem. 2009, 81:3836-3842.
56. Boernsen K.O., Gatzek S., Imbert G. Controlled protein precipitation in combination with chip-based nanospray infusion mass spectrometry. An approach for metabolomics profiling of plasma. Anal. Chem. 2005, 77:7255-7264.
57. Yin P., Wan D., Zhao C., Chen J., Zhao X., Wang W., et al. A metabonomic study of hepatitis B-induced liver cirrhosis and hepatocellular carcinoma by using RP-LC and HILIC coupled with mass spectrometry. Mol. Biosys. 2009, 5:868.
58. Spagou K., Tsoukali H., Raikos N., Gika H., Wilson I.D., Theodoridis G. Hydrophilic interaction chromatography coupled to MS for metabonomic/metabolomic studies. J. Sep. Sci. 2010, 33:716-727.
59. Spagou K., Wilson I.D., Masson P., Theodoridis G., Raikos N., Coen M., et al. HILIC-UPLC-MS for exploratory urinary metabolic profiling in toxicological studies. Anal. Chem. 2011, 83:382-390.
60. Gika H.G., Theodoridis G.A., Wilson I.D. Hydrophilic interaction and reversed-phase ultra-performance liquid chromatography TOF-MS for metabonomic analysis of Zucker rat urine. J. Sep. Sci. 2008, 31:1598-1608.
61. Idborg H., Zamani L., Edlund P.-O., Schuppe-Koistinen I., Jacobsson S.P. Metabolic fingerprinting of rat urine by LC/MS: Part 1. Analysis by hydrophilic interaction liquid chromatography-electrospray ionization mass spectrometry. J. Chromatogr. B 2005, 828:9-13.
62. Matyska M.T., Pesek J.J., Duley J., Zamzami M., Fischer S.M. Aqueous normal phase retention of nucleotides on silica hydride-based columns: method development strategies for analytes relevant in clinical analysis. J. Sep. Sci. 2010, 33:930-938.
63. Hinterwirth H., Lämmerhofer M., Preinerstorfer B., Gargano A., Reischl R., Bicker W., et al. Selectivity issues in targeted metabolomics: Separation of phosphorylated carbohydrate isomers by mixed-mode hydrophilic interaction/weak anion exchange chromatography. J. Sep. Sci. 2010, 33:3273-3282.
64. Gika H.G., Theodoridis G.A., Vrhovsek U., Mattivi F. Quantitative profiling of polar primary metabolites using hydrophilic interaction ultrahigh performance liquid chromatography-tandem mass spectrometry. J. Chromatogr. A 2012, 1259:121-127.
65. Michopoulos F., Edge A.M., Hui Y.T., Liddicoat T., Theodoridis G., Wilson I.D. Extraction methods for the removal of phospholipids and other endogenous material from a biological fluid. Bioanalysis 2011, 3:2757-2767.
66. Wenk M.R. Lipidomics: new tools and applications. Cell 2010, 143:888-895.
67. Reichenbach S.E., Tian X., Tao Q., Ledford E.B., Wu Z., Fiehn O. Informatics for cross-sample analysis with comprehensive two-dimensional gas chromatography and high-resolution mass spectrometry (GC×GC-HRMS). Talanta 2011, 83:1279-1288.
68. Wang Y., Lehmann R., Lu X., Zhao X., Xu G. Novel, fully automatic hydrophilic interaction/reversed-phase column-switching high-performance liquid chromatographic system for the complementary analysis of polar and apolar compounds in complex samples. J. Chromatogr. A 2008, 1204:28-34.
69. Bamba T., Lee J.W., Matsubara A., Fukusaki E. Metabolic profiling of lipids by supercritical fluid chromatography/mass spectrometry. J. Chromatogr. A 2012, 1250:212-219.
70. Lee J.W., Uchikata T., Matsubara A., Nakamura T., Fukusaki E., Bamba T. Application of supercritical fluid chromatography/mass spectrometry to lipid profiling of soybean. J. Biosci. Bioeng. 2012, 113:262-268.
71. Bamba T., Shimonishi N., Matsubara A., Hirata K., Nakazawa Y., Kobayashi A., Fukusaki E. High throughput and exhaustive analysis of diverse lipids by using supercritical fluid chromatography-mass spectrometry for metabolomics. J. Biosci. Bioeng. 2008, 105:460-469.
72. Sandra P.P., Medvedovici A., Zhao Y., David F. Characterization of triglycerides in vegetable oils by silver-ion packed-column supercritical fluid chromatography coupled to mass spectroscopy with atmospheric pressure chemical ionization and coordination ion spray. J. Chromatogr. A 2002, 974:231-241.
73. Kind T., Fiehn O. Metabolomic database annotations via query of elemental compositions: mass accuracy is insufficient even at less than 1ppm. BMC Bioinform. 2006, 7:234.
74. Katajamaa M., Oresic M. Data processing for mass spectrometry-based metabolomics. J. Chromatogr. A 2007, 1158:318-328.
75. Katajamaa M., Miettinen J., Orešič M. MZmine: toolbox for processing and visualization of mass spectrometry based molecular profile data. Bioinformatics 2006, 22:634-636.
76. Lommen A. MetAlign: interface-driven, versatile metabolomics tool for hyphenated full-scan mass spectrometry data preprocessing. Anal. Chem. 2011, 81:3079-3086.
77. Smith C.A., Want E.J., O'Maille G., Abagyan R., Siuzdak G. XCMS: processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching, and identification. Anal. Chem. 2006, 78:779-787.
78. Lai L., Michopoulos F., Gika H., Theodoridis G., Wilkinson R.W., Odedra R., et al. Methodological considerations in the development of HPLC-MS methods for the analysis of rodent plasma for metabonomic studies. Mol. Biosys. 2010, 6:108-120.
79. Tohge T., Fernie A.R. Web-based resources for mass-spectrometry-based metabolomics: a user's guide. Phytochemistry 2009, 70:450-456.
80. Werner E., Heilier J.-F., Ducruix C., Ezan E., Junot C., Tabet J.-C. Mass spectrometry for the identification of the discriminating signals from metabolomics: current status and future trends. J. Chromatogr. B 2008, 871:143-163.
81. Adamski J. Genome-wide association studies with metabolomics. Genome Med. 2012, 4:34.
82. Loftus N., Miseki K., Iida J., Gika H.G., Theodoridis G., Wilson I.D. Profiling and biomarker identification in plasma from different Zucker rat strains via high mass accuracy multistage mass spectrometric analysis using liquid chromatography/mass spectrometry with a quadrupole ion trap time of flight mass spectrometer. Rapid Commun. Mass Spectrom. 2008, 22:2547-2554.
83. Whitfield P.D., Noble P.-J.M., Major H., Beynon R.J., Burrow R., Freeman A.I., et al. Metabolomics as a diagnostic tool for hepatology: validation in a naturally occurring canine model. Metabolomics 2005, 1:215-225.
84. Chen M., Su M., Zhao L., Jiang J., Liu P., Cheng J., et al. Metabonomic study of aristolochic acid-induced nephrotoxicity in rats. J. Proteome Res. 2006, 5:995-1002.
85. Van Q.N., Veenstra T.D. How close is the bench to the bedside? Metabolic profiling in cancer research. Genome Med. 2009, 1:5.
86. Van Q.N., Veenstra T.D., Issaq H.J. Metabolic profiling for the detection of bladder cancer. Curr. Urol. Rep. 2011, 12:34-40.
87. Issaq H.J., Fox S.D., Chan K.C., Veenstra T.D. Global proteomics and metabolomics in cancer biomarker discovery. J. Sep. Sci. 2011, 34:3484-3492.
88. Serkova N.J., Glunde K. Metabolomics of cancer. Methods Mol. Biol. 2009, 520:273-295.
89. Spratlin J.L., Serkova N.J., Eckhardt S.G. Clinical applications of metabolomics in oncology: a review. Clin. Cancer Res. 2009, 15:431-440.
90. Ganti S., Taylor S.L., Kim K., Hoppel C.L., Guo L., Yang J. Urinary acylcarnitines are altered in human kidney cancer. Int. J. Cancer 2012, 130(12):2791-2800.
91. Kim K., Aronov P., Zakharkin S.O., Anderson D., Perroud B., Thompson I.M., et al. Urine metabolomics analysis for kidney cancer detection and biomarker discovery. Mol. Cell. Proteomics 2009, 8:558-570.
92. Kind T., Tolstikov V., Fiehn O., Weiss R.H. A comprehensive urinary metabolomic approach for identifying kidney cancer. Anal. Biochem. 2007, 363:185-195.
93. Lin L., Huang Z., Gao Y., Yan X., Xing J., Hang W. LC-MS based serum metabonomic analysis for renal cell carcinoma diagnosis, staging, and biomarker discovery. J. Proteome Res. 2010, 10:1396-1405.
94. Wang W., Feng B., Li X., Yin P., Gao P., Zhao X., et al. Urinary metabolic profiling of colorectal carcinoma based on online affinity solid phase extraction-high performance liquid chromatography and ultra performance liquid chromatography-mass spectrometry. Mol. Biosys. 2010, 6:1947.
95. Qiu Y., Cai G., Su M., Chen T., Zheng X., Xu Y., et al. Serum metabolite profiling of human colorectal cancer using GC-TOFMS and UPLC-QTOFMS. J. Proteome Res. 2009, 8:4844-4850.
96. Cao H., Huang H., Xu W., Chen D., Yu J., Li J., et al. Fecal metabolome profiling of liver cirrhosis and hepatocellular carcinoma patients by ultra performance liquid chromatography mass spectrometry. Anal. Chim. Acta 2011, 691:68-75.
97. Sheikh K.D., Khanna S., Byers S.W., Fornace A.J., Cheema A.K. Small molecule metabolite extraction strategy for improving LC/MS detection of cancer cell metabolome. J. Biomol. Tech. 2011, 22:1-4.
98. Sreekumar A., Poisson L.M., Rajendiran T.M., Khan A.P., Cao Q., Yu J., et al. Metabolomic profiles delineate potential role for sarcosine in prostate cancer progression. Nature 2009, 457:910-914.
99. Struys E.A., Heijboer A.C., van Moorselaar J., Jakobs C., Blankenstein M.A. Serum sarcosine is not a marker for prostate cancer. Ann. Clin. Biochem. 2010, 47:282.
100. Jentzmik F., Stephan C., Miller K., Schrader M., Erbersdobler A., Kristiansen G., et al. Sarcosine in urine after digital rectal examination fails as a marker in prostate cancer detection and identification of aggressive tumours. Eur. Urol. 2010, 58:12-18.
101. Thysell E., Surowiec I., Hörnberg E., Crnalic S., Widmark A., Johansson A.I., et al. Metabolomic characterization of human prostate cancer bone metastases reveals increased levels of cholesterol. PLoS ONE 2010, 5:e14175.
102. Kaur P., Sheikh K., Kirilyuk A., Kirilyuk K., Singh R., Ressom H.W., et al. Metabolomic profiling for biomarker discovery in pancreatic cancer. Int. J. Mass Spec. 2012, 310:44-51.
103. Denkert C., Bucher E., Hilvo M., Salek R., Orešič M., Griffin J., et al. Metabolomics of human breast cancer: new approaches for tumor typing and biomarker discovery. Genome Med. 2012, 4:37.
104. Laiakis E.C., Morris G.A.J., Fornace A.J., Howie S.R.C. Metabolomic analysis in severe childhood pneumonia in the Gambia, West Africa: findings from a pilot study. PLoS ONE 2010, 5.
105. Li N., Liu W., Li W., Li S., Chen X., Bi K., et al. Plasma metabolic profiling of Alzheimer's disease by liquid chromatography/mass spectrometry. Clin. Biochem. 2010, 43:992-997.
106. Kim J.Y., Park J.Y., Kim O.Y., Ham B.M., Kim H.-J., Kwon D.Y., et al. Metabolic profiling of plasma in overweight/obese and lean men using ultra performance liquid chromatography and Q-TOF mass spectrometry (UPLC-Q-TOF MS). J. Proteome Res. 2010, 9:4368-4375.
107. Zhang J., Yan L., Chen W., Lin L., Song X., Yan X., et al. Metabonomics research of diabetic nephropathy and type 2 diabetes mellitus based on UPLC-oaTOF-MS system. Anal. Chim. Acta 2009, 650:16-22.
108. Wang T.J., Larson M.G., Vasan R.S., Cheng S., Rhee E.P., McCabe E., et al. Metabolite profiles and the risk of developing diabetes. Nat. Med. 2011, 17:448-453.
109. Denery J.R., Nunes A.A.K., Hixon M.S., Dickerson T.J., Janda K.D. Metabolomics-based discovery of diagnostic biomarkers for onchocerciasis. PLoS Negl. Trop. Dis. 2010, 4.
110. Wijeyesekera A., Clarke P.A., Bictash M., Brown I.J., Fidock M., Ryckmans T., Yap I.K.S., Chan Q., Stamler J., Elliott P., Holmes E., Nicholson J.K. Quantitative UPLC-MS/MS analysis of the gut microbial co-metabolites phenylacetylglutamine, 4-cresyl 1042 sulphate and hippurate in human urine: INTERMAP Study. Anal. Methods 2012, 4:65-72.
111. Geenen S., Guallar-Hoyas C., Michopoulos F., Kenna G.J., Kolaja K.L., Westerhoff H.V., Thomas P., Wilson I. HPLC-MS/MS methods for the quantitative analysis of 5-oxoproline (pyroglutamate) in rat plasma and hepatic cell line culture medium. J. Pharm. Biomed. Anal. 2011, 56:655-663.
112. Geenen S., Michopoulos F., Kenna J.G., Kolaja K.L., Westerhoff H.V., Wilson I. HPLC-MS/MS methods for the quantitative analysis of ophthalmic acid in rodent plasma and hepatic cell line culture medium. J. Pharm. Biomed. Anal. 2011, 54:1128-1135.
113. Plumb R.S., Rainville P., Smith B.W., Johnson K.A., Castro-Perez J., Wilson I.D., Nicholson J.K. Generation of ultrahigh peak capacity LC separations via elevated temperatures and high linear mobile-phase velocities. Anal. Chem. 2006, 78:7278-7283.
114. Gika H.G., Theodoridis G., Extance J., Edge A.M.I., Wilson D. High temperature-ultra performance liquid chromatography-mass spectrometry for the metabonomic analysis of Zucker rat urine. J. Chromatogr. B 2008, 871:279-287.
115. Harry E.M., Weston D.J., Bristow A.W.T., Wilson I.D., Creaser C.S. An approach to enhancing coverage of the urinary metabonome using liquid chromatography-ion mobility-mass spectrometry. J. Chromatogr. B 2008, 871:357-361.
116. Lu W., Clasquin M.F., Melamud E., Amador-Noguez D., Caudy A.A., Rabinowitz J.D. Metabolomic analysis via reversed-phase ion-pairing liquid chromatography coupled to a stand alone orbitrap mass spectrometer. Anal. Chem. 2010, 82:3212-3221.
117. Kiefe P., Delmotte N., Vorholt J.A. Nanoscale ion-pair reversed-phase HPLC-MS for sensitive metabolome analysis. Anal. Chem. 2010, 83:850-855.
118. Coulier L., Bas R., Jespersen S., Verheij E., van der Werf E., Hankemeier T. Simultaneous quantitative analysis of metabolites using ion-pair liquid chromatography-electrospray ionization mass spectrometry. Anal. Chem. 2006, 78:6573-6582.
119. Saini A. London's Olympic drug testing lab to become national phenome center. Science 2012, 337:513.
120. Wishart D.S., Knox C., Guo A.C., Eisner R., Young N., Gautam B., et al. HMDB: a knowledgebase for the human metabolome. Nucleic Acids Res. 2009, 37:D603-D610.