首页> 外文期刊>Toxicology in vitro: an international journal published in association with BIBRA >Drug biokinetic and toxicity assessments in rat and human primary hepatocytes and HepaRG cells within the EU-funded Predict-IV project
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Drug biokinetic and toxicity assessments in rat and human primary hepatocytes and HepaRG cells within the EU-funded Predict-IV project

机译:欧盟资助的Predict-IV项目中的大鼠和人类原代肝细胞和HepaRG细胞的药物生物动力学和毒性评估

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The overall aim of Predict-IV (EU-funded collaborative project #202222) was to develop improved testing strategies for drug safety in the late discovery phase. One major focus was the prediction of hepatotoxicity as liver remains one of the major organ leading to failure in drug development, drug withdrawal and has a poor predictivity from animal experiments. In this overview we describe the use and applicability of the three cell models employed, i.e., primary rat hepatocytes, primary human hepatocytes and the human HepaRG cell line, using four model compounds, chlorpromazine, ibuprofen, cyclosporine A and amiodarone. This overview described the data generated on mode of action of liver toxicity after long-term repeat-dosing. Moreover we have quantified parent compound and its distribution in various in vitro compartments, which allowed us to develop biokinetic models where we could derive real exposure concentrations in vitro. In conclusion, the complex data set enables quantitative measurements that proved the concept that we can define human relevant free and toxic exposure levels in vitro. Further compounds have to be analyzed in a broader concentration range to fully exploit these promising results for improved prediction of hepatotoxicity and hazard assessment for humans. (C) 2015 Elsevier Ltd. All rights reserved.
机译:Predict-IV(欧盟资助的合作项目#202222)的总体目标是在发现后期开发改进的药物安全性测试策略。肝脏毒性的预测是一个主要重点,因为肝脏仍然是导致药物开发失败,戒断药物的主要器官之一,并且动物实验的预测性较差。在本概述中,我们描述了使用四种模型化合物氯丙嗪,布洛芬,环孢菌素A和胺碘酮使用的三种细胞模型,即原代大鼠肝细胞,原代人肝细胞和人HepaRG细胞系的用途和适用性。该概述描述了长期重复给药后产生的肝毒性作用方式的数据。此外,我们已经量化了母体化合物及其在各种体外隔室中的分布,这使我们能够建立生物动力学模型,从而可以得出体外的实际暴露浓度。总之,复杂的数据集可以进行定量测量,这证明了我们可以在体外定义人类相关的游离和有毒接触水平的概念。必须在更宽的浓度范围内分析其他化合物,以充分利用这些有希望的结果,以改善对人类肝毒性的预测和危害评估。 (C)2015 Elsevier Ltd.保留所有权利。

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