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Dose Metrics in Repeatedly Dosed In Vitro Toxicity Assays

机译:多次给药的剂量指标在体外毒性测定中

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Aim: The emphasis in toxicological risk assessment is moving away from animal testing towards integrating in vitro cell-based assays with computational modeling to extrapolate in vitro derived effective concentrations to human-relevant doses. To improve in vitro assays to predict repeat-dose systemic toxicity, testing strategies are developed where batteries of complex in vitro assays with highly differentiated cells of human origin and representing multiple organs are repeatedly dosed for extended periods of time. One such strategy was developed during the EU FP7 Predict-IV project, where RPTEC/TERT1 kidney cells, primary rat and human hepatocytes, HepaRG liver cells and 2D and 3D primary brain cultures were dosed daily or every other day for 14 days to a selection of drugs varying in their mechanism of pharmacological action. Molecular perturbations induced by the drugs were assessed by integrating a suite of omics technologies. Dose response analyses and physiologically based pharmacokinetic models were developed to relate daily oral exposure to in vitro derived points of departures. To address the increasingly acknowledged problem that traditionally used in vitro nominal concentrations are not necessarily proportional to the concentration at the target site, which is directly related to the initial molecular changes caused by the drugs, one aim of the project was to assess whether and how knowledge of the kinetics of drugs in in vitro assays helps explain the variations in observed effect between drugs, cell types and assay setup. Methods: The concentration of a selection of drugs in cells, labware, cell attachment matrices, and exposure medium was measured over time. Results: Results indicate that lipophilic drugs like chlorpromazine bind significantly to serum constituents in the exposure medium and plastic labware. A few drugs, including less lipophilic drugs like ibuprofen, bind to cell-attachment matrices. Chemicals that reach high concentrations is cells, including cyclosporin A and amiodarone, significantly accumulate over time after repeated dosing, partly explaining their increased toxicity after repeated dosing, compared to a single dose. Conclusions: The results of these studies clearly suggest that integrating knowledge of the differences in concentration over time of drugs in cells in vitro between dosing regimens, as well as knowledge of transporter and biotransformation enzyme function, allows for the development of a mechanistic understanding of the observed in vitro toxicity.
机译:目的:毒理学风险评估的重点远离动物检测,以将基于体外细胞的测定与计算模拟相结合,以将体外衍生的有效浓度推断为人类相关剂量。为了改善体外测定以预测重复剂量的系统性毒性,开发了测试策略,其中复合体外测定的具有高度分化的人源细胞和代表多个器官的体外测定的电池被延长时多次给药。在欧盟FP7预测-IV项目期间开发了一种这样的策略,其中RPTEC / TERT1肾细胞,原代大鼠和人肝细胞,肝细胞和2D和3D原发性脑培养,每天或每隔一天给予选择14天药物作用机制不同的药物。通过整合OMICS技术套件评估药物诱导的分子扰动。为剂量反应分析和生理基础的药代动力学模型是开发的,以使每日口服暴露于体外脱离点。为了解决越来越公认的问题,传统上用于体外标称浓度不一定与靶位点的浓度成比例,这与药物引起的初始分子变化直接相关,该项目的一个目的是评估是否和如何对体外试验中药物动力学的知识有助于解释药物,细胞类型和测定设置的观察到的变化。方法:随着时间的推移,测量细胞,实验室,细胞附着基质和曝光培养基中选择药物的浓度。结果:结果表明,氯丙嗪等亲脂性药物在曝光介质和塑料实验室软件中的血清成分显着结合。少量药物,包括较少的亲醇类药物,如布洛芬,与细胞连接基质相结合。达到高浓度的化学物质是细胞,包括环孢菌素A和胺碘酮,随着单剂量相比,部分解释了重复剂量后的毒性随时间而显着积累。结论:这些研究的结果清楚地表明,在给药方案之间的体外群体中药物中浓度差异的知识,以及转运蛋白和生物转化酶功能的知识,允许开发对机械理解的发展观察到体外毒性。

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