Title
In vitro liver models are important tools to monitor the abuse of anabolic steroids in cattle
Author
Centraal Instituut voor Voedingsonderzoek TNO TNO Voeding
van Puymbroeck, M.
Kuilman, M.E.M.
Maas, R.F.M.
Witkamp, R.F.
Leyssens, T.
van der Zande, D.J.M.
Gelan, J.
Raus, J.
Publication year
1998
Abstract
Current veterinary residue analysis mainly focuses on the monitoring of residues of the administered parent compound. However, it is possible that larger amounts of metabolites are excreted and that they can have a prolonged excretion period. In order to unravel specific metabolic steps and to identify possible biological markers, two in vitro liver models were used, i.e. monolayer cultures of isolated hepatocytes and liver microsomes, both prepared from liver tissue of cattle. Clostebol, boldenone, norethandrolone (NE) and ethylestrenol (EES) were used as model substrates. Results show that the metabolic profiles derived from in vitro experiments are predictive for the in vivo metabolic pathways of the steroids evaluated in this study. By means of this strategy, it is possible to identify 17alpha-ethyl-5beta-estrane-3alpha, 17beta-diol (EED) as a common biological marker for NE and EES. By in vivo experiments it was shown that EED is particularly important for the detection of the abuse of NE or EES because of its high excretion levels and its prolonged presence as compared with the parent compounds or any other metabolite.
Subject
Anabolic agent
Biological marker
Boldenone
Clostebol
Estrane derivative
Ethylestrenol
Norethandrolone
Steroid
Animal tissue
Cattle
Conference paper
Controlled study
Drug abuse
Drug determination
Drug metabolism
Drug monitoring
Female
Liver
Liver cell culture
Liver metabolism
Liver microsome
Male
Model
Nonhuman
Steroid metabolism
Anabolic Agents
Animals
Biological Markers
Cattle
Cells, Cultured
Drug Residues
Estradiol
Ethylestrenol
Liver
Microsomes, Liver
Models, Biological
Norethandrolone
Predictive Value of Tests
Testosterone
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http://resolver.tudelft.nl/uuid:2dd1b09c-70e7-447b-9d35-b327fef7f2bb
DOI
https://doi.org/10.1039/a805013i
TNO identifier
234795
ISSN
0003-2654
Source
Analyst, 123 (123), 2453-2456
Document type
article