| Literature DB >> 16212399 |
Marc-Emmanuel Dumas1, Cécile Canlet, Joseph Vercauteren, François André, Alain Paris.
Abstract
We used metabonomics to discriminate the urinary signature of different anabolic steroid treatments in cattle having different physiological backgrounds (age, sex, and race). (1)H-(13)C heteronuclear multiple bonding connectivity NMR spectroscopy and multivariate statistical methods reveal that metabolites such as trimethylamine-N-oxide, dimethylamine, hippurate, creatine, creatinine, and citrate characterize the biological fingerprint of anabolic treatment. These urinary biomarkers suggest an overall homeostatic adaptation in nitrogen and energy metabolism. From results obtained in this study, it is now possible to consider metabonomics as a complementary method usable to improve doping control strategies to detect fraudulent anabolic treatment in cattle since the oriented global metabolic response provides helpful discrimination.Entities:
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Year: 2005 PMID: 16212399 DOI: 10.1021/pr0500556
Source DB: PubMed Journal: J Proteome Res ISSN: 1535-3893 Impact factor: 4.466