First insights into serum metabolomics of trenbolone/estradiol implanted bovines; screening model to predict hormone-treated and control animals’ status
| Autor: | S. Chéreau, Giancarlo Biancotto, G. Dervilly-Pinel, Christopher T. Elliott, Fabrice Monteau, B. Le Bizec, Judith Kouassi Nzoughet |
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| Přispěvatelé: | Physiopathologie Cardiovasculaire et Mitochondriale (MITOVASC), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université d'Angers (UA) |
| Rok vydání: | 2015 |
| Předmět: |
Serum
Anabolism LC-HRMS metabolomics Endocrinology Diabetes and Metabolism Clinical Biochemistry Physiology Context (language use) Biology Pharmacology Omics Biochemistry Anabolic Agents implant Bovines Metabolomics Trenbolone Bovines Screening medicine Sample Type Steroids Steroids implant [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology medicine.drug Hormone |
| Zdroj: | Metabolomics Metabolomics, Springer Verlag, 2015, 11 (5), pp.1184-1196. ⟨10.1007/s11306-015-0775-x⟩ |
| ISSN: | 1573-3890 1573-3882 |
| Popis: | International audience; The use of anabolic agents in livestock production is a subject of much concern. Although prohibited for more than 20years within the EU, growth promoting practices are still widely suspected. To meet the current challenges for detecting illicit practices, ‘omics’ strategies have recently been demonstrated as important new investigative tools. These investigations, based on the observation of physiological disturbances, mainly in urine, demonstrated the possibility to monitor biomarkers enabling high throughput determination of animal status in terms of hormonal treatment. In this context, serum was investigated for the first time as an alternative and potential complementary sample type. A metabolomic approach based on liquid chromatography coupled to high resolution mass spectrometry, was exploited in order to, highlight metabolic perturbations in serum of Revalor-XS® (trenbolone acetate/estradiol) implanted bovines. Univariate and multivariate statistical analyses were carried out to establish descriptive and predictive models. These models enabled the discrimination of anabolised from control animals, and highlighted a number of metabolites which contributed the most in the observed discrimination. Further, a screening model combining a set of selected markers intensities was generated and it successfuly classified animals according to their status, up to 4weeks post Revalor-XS® implant. This research indicates, for the first time, that serum metabolomics has an important role in screening to detect for anabolic misuse in bovines. |
| Databáze: | OpenAIRE |
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