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首页> 外文期刊>Toxicology: An International Journal Concerned with the Effects of Chemicals on Living Systems >The margin of internal exposure (MOIE) concept for dermal risk assessment based on oral toxicity data – A case study with caffeine
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The margin of internal exposure (MOIE) concept for dermal risk assessment based on oral toxicity data – A case study with caffeine

机译:基于口服毒性数据的皮肤风险评估的内部曝光率(Moie)概念 - 以咖啡因为例

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Highlights ? The concept of Margin of Internal Exposure (MOIE) is proposed for route-to-route extrapolation. ? It is an extension of the Margin of Exposure (MOE) approach for cosmetics in the EU. ? PBK modelling integrates in vitro and in silico predictions of ADME-properties. ? The MOIE approach is transparent and facilitates to make uncertainties explicit. ? The MOIE can be extended to include in vitro toxicity data in animal-free risk assessment. Abstract Route-to-route extrapolation is a common part of human risk assessment. Data from oral animal toxicity studies are commonly used to assess the safety of various but specific human dermal exposure scenarios. Using theoretical examples of various user scenarios, it was concluded that delineation of a generally applicable human dermal limit value is not a practicable approach, due to the wide variety of possible human exposure scenarios, including its consequences for internal exposure. This paper uses physiologically based kinetic (PBK) modelling approaches to predict animal as well as human internal exposure dose metrics and for the first time, introduces the concept of Margin of Internal Exposure (MOIE) based on these internal dose metrics. Caffeine was chosen to illustrate this approach. It is a substance that is often found in cosmetics and for which oral repeated dose toxicity data were available. A rat PBK model was constructed in order to convert the oral NOAEL to rat internal exposure dose metrics, i.e. the area under the curve (AUC) and the maximum concentration (C max ), both in plasma. A human oral PBK model was constructed and calibrated using human volunteer data and adapted to accommodate dermal absorption following human dermal exposure. Use of the MOIE approach based on internal dose metrics predictions provides excellent opportunities to investigate the consequences of variations in human dermal exposure scenarios. It can accommodate within-day variation in plasma concentrations and is scientifically more robust than assuming just an exposure in mg/kg bw/day.
机译:强调 ?提出了内部曝光范围的概念(Moie),用于路线到路线推断。还它是欧盟化妆品的曝光边缘(MOE)方法的延伸。还PBK建模在体外整合,在Adme-属性的硅预测中。还Moie方法是透明的,有助于使不确定性明确。还Moie可以扩展到包括无动物风险评估中的体外毒性数据。摘要路线到路线外推是人类风险评估的常见部分。来自口腔动物毒性研究的数据通常用于评估各种但特异的人类皮肤暴露情景的安全性。使用各种用户情景的理论示例,得出的结论是,由于各种可能的人体暴露情景,划分普遍适用的人类皮肤极限值不是一种可行的方法,包括其对内部暴露的后果。本文使用生理基础的动力学(PBK)建模方法来预测动物以及人类内部暴露剂量度量,并首次介绍基于这些内部剂量指标的内部曝光(MOIE)的概念。选择咖啡因以说明这种方法。它是一种经常在化妆品中发现的物质,并且可以使用哪种口服重复剂量毒性数据。构建了大鼠PBK模型以将口鼻线转化为大鼠内部曝光剂量度量,即曲线下的面积(AUC)和等离子体中的最大浓度(C max)。使用人志愿者数据构建和校准人口PBK模型,并适合于人类皮肤暴露后适应皮肤吸收。根据内部剂量指标预测的使用Moie方法提供了探讨人类皮肤暴露情景变异的后果的绝佳机会。它可以适应血浆浓度的日期内变化,并且科学上比在mg / kg bw /天中的暴露中进行了科学更强壮。

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