Blokland M H, van Tricht E F, van Ginkel L A, Sterk S S
RIKILT Wageningen University & Research, P.O. Box 230, Wageningen, The Netherlands.
RIKILT Wageningen University & Research, P.O. Box 230, Wageningen, The Netherlands.
J Steroid Biochem Mol Biol. 2017 Nov;174:265-275. doi: 10.1016/j.jsbmb.2017.10.007. Epub 2017 Oct 13.
A robust LC-MS/MS method was developed to quantify a large number of phase I and phase II steroids in urine. The decision limit is for most compounds lower than 1ngml with a measurement uncertainty smaller than 30%. The method is fully validated and was applied to assess the influence of administered synthetic steroids and beta-agonists on the steroidogenesis. From three animal experiments, clenbuterol, diethylstilbestrol and stanozolol, the steroid profiles in urine of bovine animals were compared before and after treatment. It was demonstrated that the steroid profiles were altered due to these treatments. A predictive multivariate model was built to identify deviations from normal population steroid profiles. The abuse of synthetic steroids can be detected in urine samples from bovine animals using this model. The samples from the animal experiments were randomly analysed using this method and predictive model. It was shown that these samples were predicted correctly in the exogenous steroids group.
开发了一种稳健的液相色谱-串联质谱法来定量尿液中大量的I相和II相类固醇。大多数化合物的决策限低于1ng/ml，测量不确定度小于30%。该方法已得到充分验证，并用于评估所施用的合成类固醇和β-激动剂对类固醇生成的影响。在三个动物实验中，比较了牛在使用克伦特罗、己烯雌酚和司坦唑醇治疗前后尿液中的类固醇谱。结果表明，这些治疗改变了类固醇谱。建立了一个预测性多变量模型来识别与正常群体类固醇谱的偏差。使用该模型可以在牛的尿液样本中检测到合成类固醇的滥用情况。使用该方法和预测模型对动物实验的样本进行了随机分析。结果表明，在外源类固醇组中，这些样本被正确预测。
