Development and validation of a UPLC/MS method for a nutritional metabolomic study of human plasma

Metabolomics

Volumn 6, Issue 2, 2010, Pages 207-218

  Pereira, Hélène ^a,b   Martin, Jean François ^a,b   Joly, Charlotte ^a,b   Sébédio, Jean Louis ^a,b   Pujos Guillot, Estelle ^a,b  

^a INRA and University of Auvergne   (France)

^b UNIVERSITÉ CLERMONT AUVERGNE   (France)

Author keywords

Anticoagulant; Human nutrition; Matrix effect; Metabolomics; Plasma; Protein precipitation; UPLC MS; Validation

Indexed keywords

EID: 77952090855     PISSN: 15733882     EISSN: 15733890     Source Type: Journal    
DOI: 10.1007/s11306-009-0188-9     Document Type: Article

References (54)

1. FDA. (May 2001) Guidance for industry, Bioanalytical method validation. Rockville: Food and drug administration, Center for Drug Evaluation and research (CDER).
2. America, A. H. P., Cordewener, J. H. G., van Geffen, M. H. A., Lommen, A., Vissers, J. P. C., Bino, R. J., et al. (2006). Alignment and statistical difference analysis of complex peptide data sets generated by multidimensional LC-MS. Proteomics, 6, 641-653.
3. Benton, H. P., Wong, D. M., Trauger, S. A., & Siuzdak, G. (2008). XCMS2: Processing tandem mass spectrometry data for metabolite identification and structural characterization. Analytical Chemistry, 80, 6382-6389.
4. Boernsen, K. O., Gatzek, S., & Imbert, G. (2005). Controlled protein precipitation in combination with chip-based nanospray infusion mass spectrometry. An approach for metabolomics profiling of plasma. Analytical Chemistry, 77, 7255-7264.
5. Bruce, S. J., Jonsson, P., Antti, H., Cloarec, O., Trygg, J., Marklund, S. L., et al. (2008). Evaluation of a protocol for metabolic profiling studies on human blood plasma by combined ultra-performance liquid chromatography/mass spectrometry: From extraction to data analysis. Analytical Biochemistry, 372, 237-249.
6. Bruce, S. J., Tavazzi, I., Parisod, V., Rezzi, S., Kochhar, S., & Guy, P. A. (2009). Investigation of human blood plasma sample preparation for performing metabolomics using ultrahigh performance liquid chromatography/mass spectrometry. Analytical Chemistry, 81, 3285-3296.
7. Chambers, E., Wagrowski-Diehl, D. M., Lu, Z., & Mazzeo, J. R. (2007). Systematic and comprehensive strategy for reducing matrix effects in LC/MS/MS analyses. Journal of Chromatography B, 852, 22-34.
8. Chernushevich, I. V., Loboda, A. V., & Thomson, B. A. (2001). An introduction to quadrupole-time-of-flight mass Spectrometry. Journal of Mass Spectrometry and Ion Physics, 36, 849-865.
9. Churchwell, M. I., Twaddle, N. C., Meeker, L. R., & Doerge, D. R. (2005). Improving LC-MS sensitivity through increases in chromatographic performance: Comparisons of UPLC-ES/MS/MS to HPLC-ES/MS/MS. Journal of Chromatography B, 825, 134-143.
10. De Villiers, A., Lestremau, F., Szucs, R., Gélébart, S., David, F., & Sandra, P. (2006). Evaluation of ultra performance liquid chromatography: Part I. Possibilities and limitations. Journal of Chromatography A, 1127, 60-69.
11. De Vos, C. H. R., Moco, S., Lommen, A., Keurentjes, J. J., Bino, R. J., & Hall, R. D. (2007). Untargeted large-scale plant metabolomics using liquid chromatography coupled to mass spectrometry. Nature Protocols, 2, 778-791.
12. Dettmer, K., Pavel, A. A., & Hammock, B. D. (2007). Mass spectrometry based metabolomics. Mass Spectrometry Reviews, 26, 51-78.
13. Dumas, M.-E., Barton, R. H., Toye, A., Cloarec, O., Blancher, C., Rothwell, A., et al. (2006). Metabolic profiling reveals a contribution of gut microbiota to fatty liver phenotype in insulin-resistant mice. PNAS, 103, 12511-12516.
14. Fardet, A., Llorach, R., Martin, J. F., Besson, C., Lyan, B., Pujos-Guillot, E., et al. (2008). A liquid chromatography-quadrupole time-of-flight (LC-QTOF)-based metabolomic approach reveals new metabolic effects of catechin in rats fed high-fat diets. Journal of Proteome Research, 7, 2388-2398.
15. Fiehn, O., Kopka, J., Dörmann, P., Altmann, T., Trethewey, R. N., & Willmitzer, L. (2000). Metabolite profiling for plant functional genomics. Nature, 18, 1157-1161.
16. German, J. B., Roberts, M. A., Fay, L., & Watkins, S. M. (2002). Metabolomics and individual metabolic assessment: The next great challenge for nutrition. Journal of Nutrition, 132, 2486-2487.
17. Gibney, M. J., & Gibney, E. R. (2004). Symposium on 'implications for dietary guidelines of genetic influences on requirements' diet, genes and disease: Implications for nutrition policy. Proceedings of the Nutrition Society, 63, 491-500.
18. Gibney, M. J., Walsh, M., Brennan, L., Roche, H. M., German, J. B., & van Ommen, B. (2005). Metabolomics in human nutrition: Opportunities and challanges. American Journal of Clinical Nutrition, 82, 497-503.
19. Gika, H., Macpherson, E., Theodoridis, G., & Wilson, I. D. (2008). Evaluation of the repeatability of ultra-performance liquid chromatography-TOF-MS for global metabolic profiling of human urine samples. Journal of Chromatography B, 871, 299-305.
20. Guo, Z., Yarasheski, K., & Jensen, M. D. (2006). High-precision isotopic analysis of palmitoylcarnitine by liquid chromatography/electrospray ionization ion-trap tandem mass spectrometry. Rapid Communications in Mass Spectrometry, 20, 3361-3366.
21. Guy, P. A., Tavazzi, I., Bruce, S. J., Ramadan, Z., & Kochhar, S. (2008). Global metabolic profiling analysis on human urine by UPLC-TOFMS: Issues and method validation in nutritional metabolomics. Journal of Chromatography B, 871, 253-260.
22. Houjou, T., Kotoko, Y., Masayoshi, I., Takao, S., & Ryo, T. (2005). A shotgun tandem mass spectrometric analysis of phospholipids with normal-phase and/or reverse-phase liquid chromatography/electrospray ionization mass spectrometry. Rapid Communications in Mass Spectrometry, 19, 654-666.
23. Idle, J. R., & Gonzalez, F. J. (2007). Metabolomics. Cell Metabolism, 6, 348-351.
24. Jonsson, P., Gullberg, J., Nordstrom, A., Kusano, M., Kowalczyk, M., Sjostrom, T., et al. (2004). A strategy for identifying differences in large series of metabolomic samples analyzed by GC/MS. Analytical Chemistry, 76, 1738-1745.
25. Koutsari, C., & Jensen, M. D. (2006). Thematic review series: Patient-oriented research. Free fatty acid metabolism in human obesity. Journal of Lipid Research, 47, 1643-1650.
26. Lawton, K. A., Berger, A., Mitchell, M., Milgram, K. E., Evans, A. M., Guo, L. N., et al. (2008). Analysis of the adult human plasma metabolome. Pharmacogen, 9, 383-397.
27. Lenz, W. (2007). Analytical strategies in metabonomics. Journal of Proteome Research, 6, 443-458.
28. Liebisch, G., Drobnik, W., Lieser, B., & Schmitz, G. (2002). High-throughput quantification of lysophosphatidylcholine by electrospray ionization tandem mass spectrometry. Clinical Chemistry, 48, 2217-2224.
29. Liebisch, G., Lieser, B., Rathenberg, J., Drobnik, W., & Schmitz, G. (2004). High-throughput quantification of phosphatidylcholine and sphingomyelin by electrospray ionization tandem mass spectrometry coupled with isotope correction algorithm. Biochimica et Biophysica Acta-Molecular and Cell Biology of Lipids, 1686, 108-117.
30. Lindon, J. C., & Nicholson, J. K. (2008). Analytical technologies for metabonomics and metabolomics, and multi-omic information recovery. TrAC, 27, 194-204.
31. Ma, L., Luo, H., Dai, J., & Carr, P. W. (2006). Development of acid stable, hyper-crosslinked, silica-based reversed-phase liquid chromatography supports for the separation of organic bases. Journal of Chromatography A, 1114, 21-28.
32. Maher, A. D., Zirah, S. F. M., Holmes, E., & Nicholson, J. K. (2007). Experimental and analytical variation in human urine in 1H NMR spectroscopy-based metabolic phenotyping studies. Analytical Chemistry, 79, 5204-5211.
33. Major, H., Williams, R., Wilson, A., & Wilson, I. (2006). A metabonomic analysis of plasma from Zucker rat strains using gas chromatography/mass spectrometry and pattern recognition. Rapid Communications in Mass Spectrometry, 20, 3295-3302.
34. Michopoulos, F., Lai, L., Gika, H., Theodoridis, G., & Wilson, I. (2009). UPLC-MS-based analysis of human plasma for metabonomics using solvent precipitation or solid phase extraction. Journal of Proteome Research, 8, 2114-2121.
35. Moco, S., Bino, R. J., Vos, R. C. H. D., & Vervoort, J. (2007). Metabolomics technologies and metabolite identification. TrAC, 26, 855-866.
36. Nicholson, J. K., & Foxall, P. (1995). 750 MHz 1H and 1H 13C NMR spectroscopy of human blood plasma. Analytical Chemistry, 67, 793-811.
37. Nicholson, J. K., Lindon, J. C., & 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, 1181-1189.
38. Nordstrom, A., O'Maille, G., Qin, C., & Siuzdak, G. (2006). Nonlinear data alignment for UPLC-MS and HPLC-MS based metabolomics: Quantitative analysis of endogenous and exogenous metabolites in human serum. Analytical Chemistry, 78, 3289-3295.
39. Pietilainen, K. H., Sysi-Aho, M., Rissanen, A., Seppanen-Laakso, T., Yki-Jarvinen, H., Kaprio, J., et al. (2007). Acquired obesity is associated with changes in the serum lipidomic profile independent of genetic effects-a monozygotic twin study. PLoS ONE, 5, 472-483.
40. Piraud, M., Vianey-Saban, C., Petritis, K., Elfakir, C., Steghens, J. P., Morla, A., et al. (2003). ESI-MS/MS analysis of underivatised amino acids: A new tool for the diagnosis of inherited disorders of amino acid metabolism. Fragmentation study of 79 molecules of biological interest in positive and negative ionisation mode. Rapid Communications in Mass Spectrometry, 17, 1297-1311.
41. Plumb, R. S., Johnson, K. A., Rainville, P. D., Shockcor, J. P., Williams, R., Granger, J. H., et al. (2006a). The detection of phenotypic differences in the metabolic plasma profile of three strains of Zucker rats at 20 weeks of age using ultra-performance liquid chromatography/orthogonal acceleration time-of-flight mass spectrometry. Rapid Communications in Mass Spectrometry, 20, 2800-2806.
42. Plumb, R. S., Johnson, K. A., Rainville, P. D., Smith, B. W., Wilson, I. D., Castro-Perez, J. M., et al. (2006b). UPLC/MS; a new approach for generating molecular fragment information for biomarker structure elucidation. Rapid Communications in Mass Spectrometry, 20, 1989-1994.
43. Rezzi, S., Ramadan, Z., Fay, L. B., & Kochlar, S. (2006). Nutritional metabonomics: Applications and perspectives. Journal of Proteome Research. Reviews, 6, 513-525.
44. Sadagopan, N. P., Li, W., Cook, J. A., Galvan, J. A., Weller, D. L., Fountain, S. T., et al. (2003). Investigation of EDTA anticoagulant in plasma to improve the throughput of liquid chromatography/tandem mass spectrometric assays. Rapid Communications in Mass Spectrometry, 17, 1065-1070.
45. Sébedio, J. L., Martin, J. F., & Pujos, E. (2008). Nutritional metabolomics: What are the perspectives? OCL, 15, 341-345.
46. Skeaff, C. M., Hodson, L., & McKenzie, J. E. (2006). Dietary-induced changes in fatty acid composition of human plasma, platelet, and erythrocyte lipids follow a similar time course. Journal of Nutrition, 136, 565-569.
47. Smith, C. A., Want, E. J., O'Maille, G., Abagyan, R., & Siuzdak, G. (2006). XCMS: Processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching, and identification. Analytical Chemistry, 78, 779-787.
48. Tikunov, Y., Lommen, A., de Vos, C. H. R., Verhoeven, H. A., Bino, R. J., Hall, R. D., et al. (2005). A novel approach for nontargeted data analysis for metabolomics. Large-scale profiling of tomato fruit volatiles. Plant Physiology, 139, 1125-1137.
49. van De Steene, J. C., & Lambert, W. E. (2008). Comparaison of matrix effects in HPLC-MS/MS and UPLC-MS/MS analysis of nine basic pharmaceuticals in surface waters. American Society for Mass Spectrometry, 19, 713-718.
50. Want, E., O'Maille, G., Smith, C., Brandon, T., Uritboonthai, W., Qin, C., et al. (2006). Solvent-dependent metabolite distribution, clustering, and protein extraction for serum profiling with mass spectrometry. Analytical Chemistry, 78, 743-752.
51. Watkins, S. M., Hammock, B. D., Newman, J. W., & German, J. B. (2001). Individual metabolism should guide agriculture toward foods for improved health and nutrition. American Journal of Clinical Nutrition, 74, 283-286.
52. Wilson, I. D., Plumb, R., Granger, J., Major, H., Williams, R., & Lenz, E. M. (2005). HPLC-MS-based methods for the study of metabonomics. Journal of Chromatography B, 817, 67-76.
53. Wong, M. C. Y., Lee, W. T. K., Wong, J. S. Y., Frost, G., & Lodge, J. (2008). An approach towards method development for untargeted urinary metabolite profiling in metabonomic research using UPLC/QToF MS. Journal of Chromatography B, 871, 341-348.
54. Zelena, E., Dunn, W. B., Broadhurst, D., Francis-McIntyre, S., Carroll, K. M., Begley, P., et al. (2009). Development of a robust and repeatable UPLC; MS method for the long-term metabolomic study of human serum. Analytical Chemistry, 81, 1357-1364.