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Quantitative in vitro to in vivo extrapolation (QIVIVE) and physiologically based modelling of human toxicokinetics for AOP-based risk assessment

机译:在体内外推(Qivive)中的体外定量,以及基于AOP的风险评估的人类毒物动力学的生理学模拟

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For future risk assessments based on in vitro data it will be necessary to perform quantitative in vitro to in vivo extrapolation (QIVIVE) - translation of the in vitro data on bioactive concentrations into estimates of safe in vivo exposures, or extrapolation of the in vitro concentration-effect relationship to an in vivo dose-response, for regulatory use in safety assessments. QIVIVE approaches with differing degrees of complexity can support different aspects of safety assessment, from prioritization to safe exposure estimation. In particular, physiologically based pharmacokinetic (PBPK) modeling can be used to integrate data collected based on aggregate exposure pathways (AEPs) and adverse outcome pathways (AOPs) to support risk-based decisions. Their physiological structure facilitates the incorporation of in silico- and in vitro-derived chemical-specific parameters in order to predict in vivo kinetic behaviors of the test chemicals. With the use of modern parameterization methods based on in silico and in vitro data, PBPK modeling will provide the quantitative bridge from bioactive concentrations in vitro to equivalent in vivo exposure conditions, using the internal exposure at the target tissue as the linking point. Together with the USEPA, we are currently developing an open source PBPK modelling platform, the Population Lifecourse Exposure-To-Health-Effects Model (PLETHEM) suite, to efficiently describe the exposure to health effect continuum using a suite of PBPK models as the integration point. To support high-throughput PBPK modeling, the platform includes capabilities for rapid parameterization of PBPK models, including a database of physiological parameters, automated IVIVE for in vitro metabolism data, and in silico prediction models for tissue partitioning. This freely available PBPK platform will increase the applicability of PBPK models to support the new safety assessment paradigm.
机译:对于基于体外数据,有必要进行未来的风险评估定量在体外对体内外推(QIVIVE) - 在生物活性浓度体外数据翻译成体内暴露,或体外浓度的外推的安全预测 - 效应关系的体内剂量反应,对于安全评估规使用。 QIVIVE具有不同程度的复杂性可以支持安全评估的不同方面,从优先到安全暴露评估方法。特别是,生理学基础上的药代动力学(PBPK)模型可用于基于聚合暴露途径(用铝型材)和不良后果的途径(高级氧化),以支持基于风险的决策收集到的数据进行整合。它们的生理结构有利于掺入在硅 - 和体外衍生的特定化学参数,以便在测试的化学品的体内动力学行为来预测。与使用基于在硅片和体外数据现代参数化方法,PBPK建模将提供从生物活性的浓度在体外等效体内曝光条件定量桥,使用在靶组织作为连接点的内部暴露。加上美国环保局,我们目前正在开发一个开源PBPK建模平台,人口生命历程暴露对健康效应模型(PLETHEM)套件,能够有效地使用一套PBPK模型作为整合形容暴露对健康的影响连续观点。为了支持高吞吐量PBPK建模,所述平台包括用于PBPK模型的快速参数化能力,包括生理参数的数据库,自动IVIVE用于体外代谢数据,并且在用于组织分区硅片预测模型。这个免费的平台PBPK会增加PBPK模型的适用性,以支持新的安全评估模式。

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