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An appraisal of critical effect sizes for the benchmark dose approach to assess dose-response relationships in genetic toxicology

机译:基准剂量方法评估遗传毒理学剂量响应关系的基准剂量方法的临界效应大小评估

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摘要

The benchmark dose (BMD) concept is increasingly utilized to analyze quantitative dose-response relationships in genetic toxicology. This methodology requires the user (i.e. the toxicologist) to a priori define a small increase over controls that is "acceptable" to be induced by a genotoxic test substance. The increase is called benchmark response (BMR) or critical effect size (CES), depending on the software used. To render the metrics calculated from the data of animals treated with the test substance applicable for risk assessment, the BMR or CES must represent biologically relevant changes of parameters measured in in vivo genotoxicity assays such as the Micronucleus, Comet, Transgenic rodent or Pig-a assay. Current recommendations for CES in genotoxicology are arbitrary (10% increase over mean vehicle controls) or based on limited, usually 5-6, data points (i.e. the standard deviation of the concurrent vehicle control group). We have, therefore, analyzed historical vehicle control data of standard in vivo genotoxicity test systems with statistical methods. Based on this evaluation, we illustrate limitations of the currently recommended CES values and propose a pragmatic approach that may contribute to better defining endpoint-specific CES values for BMD software like PROAST.
机译:基准剂量(BMD)概念越来越多地利用来分析遗传毒理学中的定量剂量 - 反应关系。该方法需要使用者(即毒理学家),优先考虑通过基因毒性测试物质诱导的“可接受”的对照进行小的增加。根据所使用的软件,增长称为基准响应(BMR)或临界效果大小(CES)。为了使根据适用于风险评估的测试物质治疗的动物的数据计算的度量,BMR或CE必须代表在体内遗传毒性测定中测量的参数的生物相关变化,例如微核,彗星,转基因啮齿动物或猪-A测定。目前基因毒理学中的CE的建议是任意的(平均载体控制增加10%)或基于有限的,通常为5-6个数据点(即并发车辆对照组的标准偏差)。因此,我们分析了具有统计方法的体内基因毒性测试系统中标准的历史载体控制数据。在此评估的基础上,我们说明了当前推荐的CES值的限制,并提出了一种务实的方法,可能有助于更好地为PROAST定义BMD软件的端点特定的CE值。

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