Global urine fingerprinting by LC-ESI(+)-HRMS for better characterization of metabolic pathway disruption upon anabolic practices in bovine

Metabolomics

Volumn 11, Issue 1, 2015, Pages 184-197

  Jacob, Cristina C ^a   Dervilly Pinel, Gaud ^a   Biancotto, Giancarlo ^b   Monteau, Fabrice ^a   Le Bizec, Bruno ^a  

^a LUNAM UNIVERSITÉ   (France)

^b ISTITUTO ZOOPROFILATTICO SPERIMENTALE DELLE VENEZIE   (Italy)

Author keywords

Estradiol 17 ; HILIC; LC HRMS; Metabolomics; Screening; Trenbolone acetate

Indexed keywords

EID: 84939877475     PISSN: 15733882     EISSN: 15733890     Source Type: Journal    
DOI: 10.1007/s11306-014-0685-3     Document Type: Article

References (27)

1. Anizan, S., Bichon, E., Monteau, F., Cesbron, N., Antignac, J.-P., & Le Bizec, B. (2010). A new reliable sample preparation for high throughput focused steroid profiling by gas chromatography-mass spectrometry. Journal of Chromatography A,1217, 6652–6660.
2. Bartle, S. J., Preston, R. L., Brown, R. E., & Grant, R. J. (1992). Trenbolone acetate/estradiol combinations in feedlot steers: dose-response and implant carrier effects. Journal of Animal Science,70, 1326–1332.
3. Blanco CE1, Popper P, Micevych P. (1997). Anabolic-androgenic steroid induced alterations in choline acetyltransferase messenger RNA levels of spinal cord motoneurons in the male rat. Neuroscience. 78(3):873-82.
4. Cone, E. J., Caplan, Y. H., Moser, F., Robert, T., Shelby, M. K., & Black, D. L. (2009). Normalization of urinary drug concentrations with specific gravity and creatinine. Journal of Analytical Toxicology,33(1), 1–7.
5. Council Directive 2003/74/EC (2003). Amending Council Directive 96/22/EC concerning the prohibition on the use in stockfarming of certain substances having a hormonal or thyrostatic action anf of beta-agonists. Official Journal of European Communities, L262, 17–21.
6. Council Directive 2008/97/EC (2008). Amending Council Directive 96/22/EC concerning the prohibition on the use in stockfarming of certain substances having a hormonal or thyrostatic action and of beta-agonists. Official Journal of European Communities, L318, 9–11.
7. Council Directive 96/22/EC (1996). Concerning the prohibition on the use in stockfarming of certain substances having a hormonal or thyrostatic action and of beta-agonists, and repealing Directives 81/602/EEC, 88/146/EEC and 88/299/EEC. Official Journal of European Communities, L125, 3–9.
8. Courant, F., Pinel, G., Bichon, E., Monteau, F., Antignac, J.-P., & Le Bizec, B. (2009). Development of a metabolomic approach based on liquid chromatography-high resolution mass spectrometry to screen for a clenbuterol abuse in calves. Analyst,134, 1637–1646.
9. Dervilly-Pinel, G., Courant, F., Chereau, S., Royer, A. L., Boyard-Kieken, F., Antignac, J. P., et al. (2012). Metabolomics in food analysis: application to the control of forbidden substances. Drug Testing and Analysis,4, 59–69. doi:10.1002/dta.1349.
10. FDA (2007). Freedom of information summary original new animal drug administration. NADA 141-269. REVALOR-XS (Trenbolone acetate and Estradiol) Implant (pellets) for cattle (Steers fed in confinement for slaughter). http://www.fda.gov/downloads/AnimalVeterinary/Products/ApprovedAnimalDrug/Products/FOIADrugSummaries/ucm062321.pdf. Accessed July 13, 2012.
11. Jacob, C. C., Dervilly-Pinel, G., Biancotto, G., & Le Bizec, B. (2013). Evaluation of specific gravity as normalization strategy for cattle urinary metabolome analysis. Metabolomics, 1–11, doi:10.1007/s11306-013-0604-z.
12. Johnson, B. J., Anderson, P. T., Meiske, J. C., & Dayton, W. R. (1996). Effect of a combined trenbolone acetate and estradiol implant on feedlot performance, carcass characteristics and carcass composition of feedlot steers. Journal of Animal Science,74, 363–371.
13. Kind, T., & Fiehn, O. (2007). Seven golden rules for heuristic filtering of molecular formulas obtained by accurate mass spectrometry. BMC bioinformatics, 8, doi:10.1186/1471-2105-8-105.
14. MacDonald, M. A., Krueger, H., & Bogart, R. (1960). Rate and Efficiency of Gains in Beef Cattle. 8. Urinary Specific Gravity, pH, and Buffer Capacity in Beef Cattle (Vol. 54). Oregon State University: Technical Bulletin. Oregon Agricultural Experiment Station.
15. Pampusch, M. S., Johnson, B. J., White, M. E., Hathaway, M. R., Dunn, J. D., Waylan, A. T., et al. (2003). Time course of changes in growth factor mRNA levels in muscle of steroid-implanted and nonimplanted steers. Journal of Animal Science,81, 2733–2740.
16. Patti, G. J., Tautenhahn, R., & Siuzdak, G. (2012). Meta-analysis of untargeted metabolomic data from multiple profiling experiments. Nature Protocols,7(3), 508–516. doi:10.1038/nprot.2011.454.
17. Pinel, G., Weigel, S., Antignac, J.-P., Mooney, M. H., Elliot, C., Nielen, M. W. F., et al. (2010). Targeted and untargeted profiling of biological fluids to screen for anabolic practices in cattle. Trends in Analytical Chemistry,29, 1269–1280.
18. Pinel, G., Weigel, S., Lommen, A., Chereau, S., Rambaud, L., Essers, M. L., et al. (2011). Assessment of two complementary LC-HRMS metabolomics strategies for the screening of anabolic steroid treatment in calves. Analytica Chimica Acta,700, 144–154.
19. Ridgway, N. D. (2013). The role of phosphatidylcholine and choline metabolites to cell proliferation and survival. Critical Reviews in Biochemistry and Molecular Biology,48(1), 20–38.
20. Rijk, J. C. W., Lommen, A., Essers, M. L., Groot, M. J., Van Hende, J. M., Doeswijk, T. G., et al. (2009). Metabolomics approach to anabolic steroid urine profiling of bovines treated with prohormones. Analytical Chemistry,81(16), 6879–6888.
21. 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(3), 779–787. doi:10.1021/ac051437y.
22. Tautenhahn, R., Bottcher, C., & Neumann, S. (2008). Highly sensitive feature detection for high resolution LC/MS. BMC Bioinformatics,9, 504. doi:10.1186/1471-2105-9-504.
23. Tautenhahn, R., Patti, G. J., Kalisiak, E., Miyamoto, T., Schmidt, M., Lo, F. Y., et al. (2011). metaXCMS: Second-order analysis of untargeted metabolomics data. Analytical Chemistry,83(3), 696–700. doi:10.1021/ac102980g.
24. Trygg, J., Holmes, E., & Lundstedt, T. (2007). Chemometrics in metabonomics. Journal of Proteome Research,6, 469–479.
25. van der Kloet, F. M., Bobeldijk, I., Verheij, E. R., & Jellema, R. H. (2009). Analytical Error Reduction Using Single Point Calibration for Accurate and Precise Metabolomic Phenotyping. Journal of Proteome Research,8, 5132–5141.
26. Werner, E., Heilier, J.-F., Ducruix, C., Ezan, E., Junot, C., & Tabet, J.-C. (2008). Mass spectrometry for the identification of the discriminating signals from metabolomics: Current status and future trends. Journal of Chromatography B-Analytical Technologies in the Biomedical and Life Sciences,871(2), 143–163. doi:10.1016/j.jchromb.2008.07.004.
27. Westerhuis, J. A., Hoefsloot, H. C. J., Smit, S., Vis, D. J., Smilde, A. K., van Velzen, E. J. J., et al. (2008). Assessment of PLSDA cross validation. Metabolomics,4, 81–89.