首页> 外文期刊>Toxicology Letters: An International Journal Providing a Forum for Original and Pertinent Contributions in Toxicology Research >Prediction of dose-hepatotoxic response in humans based on toxicokinetic/toxicodynamic modeling with or without in vivo data: A case study with acetaminophen
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Prediction of dose-hepatotoxic response in humans based on toxicokinetic/toxicodynamic modeling with or without in vivo data: A case study with acetaminophen

机译:基于有或没有体内数据的毒物动力学/毒物动力学模型预测人的剂量-肝毒性反应:对乙酰氨基酚的案例研究

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In the present legislations, the use of methods alternative to animal testing is explicitly encouraged, to use animal testing only 'as a last resort' or to ban it. The use of alternative methods to replace kinetics or repeated dose in vivo tests is a challenging issue. We propose here a strategy based on in vitro tests and QSAR (Quantitative Structure Activity Relationship) models to calibrate a dose-response model predicting hepatotoxicity. The dose response consists in calibrating and coupling a PBPK (physiologically-based pharmacokinetic) model with a toxicodynamic model for cell viability. We applied our strategy to acetaminophen and compared three different ways to calibrate the PBPK model: only with in vitro and in silico methods, using rat data or using all available data including data on humans. Some estimates of kinetic parameters differed substantially among the three calibration processes, but, at the end, the three models were quite comparable in terms of liver toxicity predictions and close to the usual range of human overdose. For the model based on alternative methods, the good adequation with the two other models resulted from an overestimated renal elimination rate which compensated for the underestimation of the metabolism rate. Our study points out that toxicokinetics/toxicodynamics approaches, based on alternative methods and modelling only, can predict in vivo liver toxicity with accuracy comparable to in vivo methods.
机译:在现行法律中,明确鼓励使用替代动物测试的方法,仅“不得已”使用动物测试或禁止使用动物测试。使用替代方法代替动力学或体内重复剂量测试是一个具有挑战性的问题。我们在此提出一种基于体外测试和QSAR(定量结构活性关系)模型的策略,以校准预测肝毒性的剂量反应模型。剂量反应在于将PBPK(基于生理学的药代动力学)模型与细胞动力学的毒性动力学模型进行校准和耦合。我们将策略应用于对乙酰氨基酚,并比较了三种不同的校准PBPK模型的方法:仅使用体外和计算机方法,使用大鼠数据或使用所有可用数据,包括人类数据。在三个校准过程中,动力学参数的某些估计值存在很大差异,但是最后,在肝毒性预测方面,这三个模型具有相当的可比性,接近人类过量的通常范围。对于基于替代方法的模型,与其他两个模型的良好匹配是由于高估了肾脏消除率,从而弥补了新陈代谢率的低估。我们的研究指出,仅基于替代方法和建模的毒物动力学/毒物动力学方法可以预测体内肝毒性,其准确性可与体内方法媲美。

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