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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:体外到体内的定量外推(QIVIVE)和基于人体生理学的人毒代动力学模型,用于基于AOP的风险评估

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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:对于基于体外数据的未来风险评估,有必要进行定量的体外到体内外推(QIVIVE)-将生物活性浓度的体外数据转换为安全体内暴露量的估计值,或体外浓度的外推与体内剂量反应的效应关系,用于安全性评估中的法规使用。复杂程度不同的QIVIVE方法可以支持安全评估的不同方面,从优先级划分到安全暴露估算。特别是,基于生理的药代动力学(PBPK)建模可用于整合基于总体暴露途径(AEP)和不良结局途径(AOP)收集的数据,以支持基于风险的决策。它们的生理结构有助于整合计算机和体外衍生的化学特异性参数,以便预测测试化学品的体内动力学行为。借助基于计算机和体外数据的现代参数化方法,PBPK模型将以目标组织的内部暴露为联系点,提供从体外生物活性浓度到等效的体内暴露条件的定量桥梁。我们目前正在与USEPA一起开发一个开源的PBPK建模平台,即人口生命历程暴露于健康的影响模型(PLETHEM)套件,以使用一组PBPK模型作为集成来有效地描述对健康影响连续性的暴露观点。为了支持高通量PBPK建模,该平台包括用于PBPK模型快速参数化的功能,包括生理参数数据库,用于体外代谢数据的自动IVIVE和用于组织分区的计算机模拟模型。这个免费可用的PBPK平台将增加PBPK模型的适用性,以支持新的安全评估范例。

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