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Evaluating In Vitro-In Vivo Extrapolation of Toxicokinetics

机译:评估毒物动力学的体内-体外推断

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摘要

Prioritizing the risk posed by thousands of chemicals potentially present in the environment requires exposure, toxicity, and toxicokinetic (TK) data, which are often unavailable. Relatively high throughput, in vitro TK (HTTK) assays and in vitro-to-in vivo extrapolation (IVIVE) methods have been developed to predict TK, but most of the in vivo TK data available to benchmark these methods are from pharmaceuticals. Here we report on new, in vivo rat TK experiments for 26 non-pharmaceutical chemicals with environmental relevance. Both intravenous and oral dosing were used to calculate bioavailability. These chemicals, and an additional 19 chemicals (including some pharmaceuticals) from previously published in vivo rat studies, were systematically analyzed to estimate in vivo TK parameters (e.g., volume of distribution [Vd], elimination rate). For each of the chemicals, rat-specific HTTK data were available and key TK predictions were examined: oral bioavailability, clearance, Vd, and uncertainty. For the non-pharmaceutical chemicals, predictions for bioavailability were not effective. While no pharmaceutical was absorbed at less than 10%, the fraction bioavailable for non-pharmaceutical chemicals was as low as 0.3%. Total clearance was generally more under-estimated for nonpharmaceuticals and Vd methods calibrated to pharmaceuticals may not be appropriate for other chemicals. However, the steady-state, peak, and time-integrated plasma concentrations of nonpharmaceuticals were predicted with reasonable accuracy. The plasma concentration predictions improved when experimental measurements of bioavailability were incorporated. In summary, HTTK and IVIVE methods are adequately robust to be applied to high throughput in vitro toxicity screening data of environmentally relevant chemicals for prioritizing based on human health risks.
机译:优先考虑环境中可能存在的成千上万种化学药品构成的风险需要暴露,毒性和毒物代谢动力学(TK)数据,而这些数据通常不可用。已经开发出相对高通量的体外TK(HTTK)测定法和体外至体内外推法(IVIVE)来预测TK,但是可用于对这些方法进行基准测试的大多数体内TK数据均来自药物。在这里,我们报告了与环境相关的26种非医药化学品的新的体内大鼠TK实验。静脉和口服给药均用于计算生物利用度。系统分析了这些化学药品以及之前发表的体内大鼠研究的其他19种化学药品(包括某些药物),以估算体内TK参数(例如,分布体积[Vd],消除率)。对于每种化学物质,均可获得大鼠特异性的HTTK数据,并检查了关键的TK预测:口服生物利用度,清除率,Vd和不确定性。对于非医药化学品,生物利用度的预测无效。虽然没有任何一种药物的吸收率低于10%,但非药物化学物质的生物利用度低至0.3%。对于非药品,总清除率通常被低估,针对药品校准的Vd方法可能不适用于其他化学品。但是,非药物的稳态,峰值和时间积分血浆浓度被预测为具有合理的准确性。当纳入生物利用度的实验测量值时,血浆浓度预测值会提高。总之,HTTK和IVIVE方法具有足够的鲁棒性,可用于环境相关化学物质的高通量体外毒性筛选数据,以便根据人类健康风险进行优先级排序。

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