Liquid chromatography-mass spectrometry methods for urinary biomarker detection in metabonomic studies with application to nutritional studies

Biomedical Chromatography

Volumn 24, Issue 7, 2010, Pages 737-743

  Legido Quigleya, Cristina ^a,b   Stella, Cinzia ^a   Perez Jimenez, Francisco ^c   Lopez Miranda, Jose ^c   Ordovas, Jose ^d   Powell, Jonathan ^e   Van der Ouderaa, Frans ^e   Ware, Lisa ^e   Lindon, John C ^a   Nicholson, Jeremy K ^a   Holmes, Elaine ^a  

^a KING'S COLLEGE LONDON   (United Kingdom)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

^c HOSPITAL UNIVERSITARIO REINA SOFÍA   (Spain)

^d TUFTS UNIVERSITY   (United States)

^e UNILEVER RESEARCH   (United Kingdom)

Author keywords

Chemometrics; Metabonomics; UPLC MS; Urine profiling

Indexed keywords

BIOMARKERS; BIOMOLECULES; BODY FLUIDS; CHROMATOGRAPHIC ANALYSIS; DISCRIMINANT ANALYSIS; LEAST SQUARES APPROXIMATIONS; LIQUID CHROMATOGRAPHY; MASS SPECTROMETRY; METABOLISM; METABOLITES; NUTRITION;

CHEMOMETRICES; CHROMATOGRAPHIC METHODS; LIQUID CHROMATOGRAPHY - MASS SPECTROMETRIES; LIQUID-LIQUID EXTRACTION; METABONOMICS; SAMPLE PREPARATION METHODS; UPLC-MS; URINARY BIOMARKERS; URINE PROFILING; URINE SAMPLE;

POLYUNSATURATED FATTY ACIDS;

BIOLOGICAL MARKER; MONOUNSATURATED FATTY ACID; POLYUNSATURATED FATTY ACID; SATURATED FATTY ACID;

ARTICLE; CONTROLLED STUDY; DILUTION; HUMAN; HUMAN EXPERIMENT; INTERVENTION STUDY; LIQUID CHROMATOGRAPHY; LIQUID LIQUID EXTRACTION; MALE; MASS SPECTROMETRY; NORMAL HUMAN; NUTRITIONAL ASSESSMENT; URINE OSMOLALITY;

EID: 77953525948     PISSN: 02693879     EISSN: 10990801     Source Type: Journal    
DOI: 10.1002/bmc.1357     Document Type: Article

References (24)

1. Brindle JT, Antti H, Holmes E, Tranter G, Nicholson JK, Bethell HW, Clarke S, Schofield PM, McKilligin E, Mosedale DE and Grainger DJ. Rapid and noninvasive diagnosis of the presence and severity of coronary heart disease using 1H-NMR-based metabonomics. Nature medicine 2002; 8: 1439-1444.
2. Crockford DJ, Holmes E, Lindon JC, Plumb RS, Zirah S, Bruce SJ, Rainville P, Stumpf CL and Nicholson JK. Statistical heterospectroscopy, an approach to the integrated analysis of NMR and UPLC-MS data sets: application in metabonomic toxicology studies. Analytical Chemistry 2006a; 78: 363-371.
3. Crockford DJ, Lindon JC, Cloarec O, Plumb RS, Bruce SJ, Zirah S, Rainville P, Stumpf CL, Johnson K, Holmes E and Nicholson JK. Statistical search space reduction and two-dimensional data display approaches for UPLC-MS in biomarker discovery and pathway analysis. Analytical Chemistry 2006b; 78: 4398-4408.
4. Fearnside JF, Dumas ME, Rothwell AR, Wilder SP, Cloarec O, Toye A, Blancher C, Holmes E, Tatoud R, Barton RH, Scott J, Nicholson JK and Gauguier D. Phylometabonomic patterns of adaptation to high fat diet feeding in inbred mice. PLoS ONE 2008; 3: e1668.
5. Gika HG, 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. Journal of Proteome Research 2007; 6: 3291-3303.
6. Gika HG, Theodoridis GA and Wilson ID. Liquid chromatography and ultraperformance liquid chromatography-mass spectrometry fi ngerprinting of human urine sample stability under different handling and storage conditions for metabonomics studies. Journal of Chromatography B 2008; 1189: 314-322.
7. Granger JH, Williams R, Lenz EM, Plumb RS, Stumpf CL and Wilson ID. A metabonomic study of strain- and age-related differences in the Zucker rat. Rapid Communications in Mass Spectrometry 2007; 21:2039-2045. (Pubitemid 46999256)
8. Greenberg N, Grassano A, Thambisetty M, Lovestone S and Legido-Quigley C. A proposed metabolic strategy for monitoring disease progression in Alzheimer's disease. Electrophoresis 2009; 30: 1235-1239.
9. Holmes E, Loo RL, Stamler J, Bictash M, Yap IK, Chan Q, Ebbels T, De Iorio M, Brown IJ, Veselkov KA, Daviglus ML, Kesteloot H, Ueshima H, Zhao L, Nicholson JK and Elliott P. Human metabolic phenotype diversity and its association with diet and blood pressure. Nature 2008.
10. Jerkovich AD, Lo Brutto R and Vivilecchia RV. The use of Acquity UPLC in pharmaceutical development. LC GC Europe Solutions for Separation Scientists 2005; 12: 12-19.
11. Lenz EM, Williams RE, Sidaway J, Smith BW, Plumb RS, Johnson KA, Rainville P, Shockcor J, Stumpf CL, Granger JH and Wilson ID. The application of microbore UPLC/oa-TOF-MS and 1H NMR spectroscopy to the metabonomic analysis of rat urine following the intravenous administration of pravastatin. Journal of Pharmaceutical Biomedical Analysis 2007; 44: 845-852.
12. Lindon JC, Holmes E and Nicholson JK. Metabonomics in pharmaceutical R&D. The FEBS Journal 2007; 274: 1140-1151.
13. Nicholson JK and Holmes E. Global systems biology and personalized healthcare solutions. Discovery Medicine 2006; 6: 63-70.
14. Nicholson JK, Sadler PJ, Bales JR, Juul SM, MacLeod AF and Sonksen PH. Monitoring metabolic disease by proton NMR of urine. Lancet 1984; 2: 751-752. (Pubitemid 14047186)
15. Nicholson JK, Holmes E, Lindon JC and Wilson ID. The challenges of modeling mammalian biocomplexity. Nature Biotechnology 2004; 22: 1268-1274.
16. Novakova L and Matysova L. Advantages of application of UPLC in pharmaceutical analysis. Talanta 2006; 68: 908-918. (Pubitemid 43052506)
17. Plumb R, Castro-Perez J, Granger J, Beattie I, Joncour K and Wright A. Ultra-performance liquid chromatography coupled to quadrupole-orthogonal time-of-flight mass spectrometry. Rapid Communications in Mass Spectrometry 2004; 18: 2331-2337. (Pubitemid 39297371)
18. Prakash C, Shaffer C and Nedderman A. Analytical strategies for identifying drug metabolites. Mass Spectrometry Reviews 2007; 26: 340-369.
19. Seifarth CC, Miertschischk J, Hahn EG and Hensen J. Measurement of serum and plasma osmolality in healthy young humans-influence of time and storage conditions. Clinical Chemistry and Laboratory Medicine 2004; 42: 927-932. (Pubitemid 39213896)
20. Stella C, Beckwith-Hall B, Cloarec O, Holmes E, Lindon JC, Powell J, van der Ouderaa F, Bingham S, Cross AJ and Nicholson JK. Susceptibility of human metabolic phenotypes to dietary modulation. Journal of Proteome Research 2006; 5: 2780-2788.
21. Teahan O, Gamble S, Holmes E, Waxman J, Nicholson JK, Bevan C and Keun HC. Impact of analytical bias in metabonomic studies of human blood serum and plasma. Analytical Chemistry 2006; 78: 4307-4318.
22. Wilson ID and Nicholson JK, Comprehensive Medicinal Chemistry II. Elsevier: Oxford, 2007; 989-1007.
23. Wold S, Ruhe A, Wold H and Dunn III WJ. The collinearity problem in linear regression. The partial least squares (PLS) approach to generalized inverses. SIAM Journal on Scientific and Statistical Computing 1984; 5:735-743.
24. Xiayan L and Legido-Quigley C. Advances in separation science applied to metabonomics. Electrophoresis 2008; 29: 3724-3736.