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首页> 外文期刊>risk analysis >Application of a Biologically‐Based RFD Estimation Method to Tetrachlorodibenzo‐P‐Dioxin (TCDD) Mediated Immune Suppression and Enzyme Induction
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Application of a Biologically‐Based RFD Estimation Method to Tetrachlorodibenzo‐P‐Dioxin (TCDD) Mediated Immune Suppression and Enzyme Induction

机译:基于生物学的RFD估计方法在四氯二苯并对二恶英(TCDD)介导的免疫抑制和酶诱导中的应用

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The current methods for a reference dose (RfD) determination can be enhanced through the use of biologically‐based dose‐response analysis. Methods developed here utilizes information from tetrachlorodibenzo‐p‐dioxin (TCDD) to focus on noncancer endpoints, specifically TCDD mediated immune system alterations and enzyme induction. Dose‐response analysis, using the Sigmoid‐Emax (EMAX) function, is applied to multiple studies to determine consistency of response. Through the use of multiple studies and statistical comparison of parameter estimates, it was demonstrated that the slope estimates across studies were very consistent. This adds confidence to the subsequent effect dose estimates. This study also compares traditional methods of risk assessment such as the NOAEL/safety factor to a modified benchmark dose approach which is introduced here. Confidence in the estimation of an effect dose (ED10) was improved through the use of multiple datasets. This is key to adding confidence to the benchmark dose estimates. In addition, the Sigmoid‐Emax function when applied to dose‐response data using nonlinear regression analysis provides a significantly improved fit to data increasing confidence in parameter estimates which subsequently improve effect
机译:通过使用基于生物学的剂量反应分析,可以增强当前用于确定参考剂量 (RfD) 的方法。这里开发的方法利用来自四氯二苯并对二恶英 (TCDD) 的信息来关注非癌症终点,特别是 TCDD 介导的免疫系统改变和酶诱导。使用 Sigmoid-Emax (EMAX) 函数的剂量反应分析应用于多项研究,以确定反应的一致性。通过使用多项研究和参数估计的统计比较,证明不同研究的斜率估计非常一致。这增加了后续效应剂量估计的可信度。本研究还将传统的风险评估方法(例如 NOAEL/安全系数)与此处介绍的改进基准剂量方法进行了比较。通过使用多个数据集,提高了效应剂量(ED10)估计的可信度。这是增加基准剂量估计可信度的关键。此外,当使用非线性回归分析将 Sigmoid-Emax 函数应用于剂量反应数据时,可以显着改善对数据的拟合,从而提高参数估计的可信度,从而改善效果

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