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PBPK Modelling for Environmental Chemicals: Linking to In Vitro Data

机译:PBPK建模的环境化学品:链接到体外数据

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The field of toxicology is currently undergoing a global paradigm shift to use of in vitro approaches for assessing the risks of chemicals and drugs, yielding results more rapidly and more mechanistically based than current approaches relying primarily on live animal testing. However, the use of in vitro data in risk assessment entails a number of new challenges associated with translating the in vitro data on bioactive concentrations into estimates of safe in vivo exposures. When used within a Mode of Action / Adverse Outcome Pathway framework, physiologically based pharmacokinetic (PBPK) models provide an effective tool for conducting quantitative in vitro to in vivo extrapolation (IVIVE). Their physiological structure facilitates the incorporation of in silico- and in vitro-derived chemical-specific parameters in order to predict in vivo absorption, distribution, metabolism and excretion. In particular, the combination of in silico and in vitro parameter estimation with PBPK modeling can be used to predict the in vivo exposure conditions that would produce chemical concentrations in the target tissue equivalent to the concentrations at which effects were observed with in vitro assays of tissue/organ toxicity. They can also support the identification of potentially susceptible populations associated with age-dependent pharmacokinetics or metabolic polymorphisms. This presentation will describe the key elements of IVIVE and the critical issues that must be addressed to move forward. Two examples of PBPK-based IVIVE will be described: the use of in vitro assays and PBPK modeling to estimate a margin of exposure for endocrine active compounds and the use of in vitro metabolism data and PBPK modeling to evaluate early life sensitivity to pesticides.
机译:目前,毒理学领域正在发生一种全球范式的转变,即使用体外方法评估化学药品和药物的风险,与目前主要依靠活体动物测试的方法相比,其更快,更机械地产生结果。但是,在风险评估中使用体外数据带来了许多与将生物活性浓度的体外数据转化为安全的体内暴露量估计值相关的新挑战。当在作用模式/不良结果途径框架内使用时,基于生理学的药代动力学(PBPK)模型为进行定量的体外到体内外推(IVIVE)提供了有效的工具。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,以预测体内的吸收,分布,代谢和排泄。特别地,计算机模拟和体外参数估计与PBPK模型的结合可用于预测体内暴露条件,该条件将在靶组织中产生与在组织的体外测定中观察到的作用浓度相等的化学浓度/器官毒性。它们还可以支持识别与年龄相关的药代动力学或代谢多态性相关的潜在易感人群。本演讲将描述IVIVE的关键要素以及前进中必须解决的关键问题。将描述基于PBPK的IVIVE的两个示例:使用体外测定和PBPK模型来估计内分泌活性化合物的暴露裕度,以及使用体外代谢数据和PBPK模型来评估对农药的早期生命敏感性。

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