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Modeling toxic endpoints for improving human health risk assessment

机译:为毒性终点建模以改善人类健康风险评估

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摘要

Risk assessment procedures for mixtures of polycyclic aromatic hydrocarbons(PAHs) present a problem due to the lack of available potency and toxicity data onmixtures and individual compounds. This study examines the toxicity of parentcompound PAHs and binary mixtures of PAHs in order to bridge the gap betweencomponent assessment and mixture assessment. Seven pure parent compound PAHs andfour binary mixtures of PAHs were examined in the Salmonella/MicrosomeMutagenicity Assay, a Gap Junction Intercellular Communication (GJIC) assay and the7-ethoxyresorufin-O-deethylase assay (EROD). These assays were chosen for theirability to measure specific toxic endpoints related to the carcinogenic process (i.e.initiation, promotion, progression). Data from these assays was used in further studies tobuild Quantitative Structure-Activity Relationships (QSARs) to estimate toxic endpointsand to test the additive assumption in PAH mixtures. These QSAR models will allowfor the development of bioassay based potential potencies (PPB) or toxic equivalencyfactors (TEFs) that are derived not only from bioassay data, but also from structure,activity, and physical/chemical properties. These models can be extended to anyenvironmental media to evaluate risk to human health from exposures to PAHs.
机译:多环芳烃(PAHs)混合物的风险评估程序存在问题,原因是混合物和单个化合物缺乏有效的毒性和毒性数据。这项研究检查了母体化合物PAHs和PAHs的二元混合物的毒性,以弥补成分评估和混合物评估之间的差距。在沙门氏菌/微粒体致突变性测定,间隙连接细胞间通讯(GJIC)测定和7-乙氧基试卤灵-O-脱乙基酶测定(EROD)中检测了七个纯母体化合物PAH和四个PAH二元混合物。选择这些测定法是因为它们具有测量与致癌过程(即起始,促进,进展)相关的特定毒性终点的能力。这些测定的数据用于进一步的研究,以建立定量构效关系(QSAR),以估计毒性终点并测试PAH混合物中的加和假设。这些QSAR模型将允许开发基于生物测定的潜在效价(PPB)或毒性当量因子(TEF),这些潜能不仅来源于生物测定数据,而且还来源于结构,活性和物理/化学性质。这些模型可以扩展到任何环境介质,以评估暴露于PAHs对人体健康的风险。

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    Bruce Erica Dawn;

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  • 年度 2009
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