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Model Uncertainty via the Integration of Hormesis and LNT as the Default in Cancer Risk Assessment

机译:在癌症风险评估中,通过将兴奋剂和LNT集成为默认值来确定模型的不确定性

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On June 23, 2015, the US Nuclear Regulatory Commission (NRC) issued a formal notice in the Federal Register that it would consider whether “it should amend its ‘Standards for Protection Against Radiation’ regulations from the linear non-threshold (LNT) model of radiation protection to the hormesis model.” The present commentary supports this recommendation based on the (1) flawed and deceptive history of the adoption of LNT by the US National Academy of Sciences (NAS) in 1956; (2) the documented capacity of hormesis to make more accurate predictions of biological responses for diverse biological end points in the low-dose zone; (3) the occurrence of extensive hormetic data from the peer-reviewed biomedical literature that revealed hormetic responses are highly generalizable, being independent of biological model, end point measured, inducing agent, level of biological organization, and mechanism; and (4) the integration of hormesis and LNT models via a model uncertainty methodology that optimizes public health responses at 10?4. Thus, both LNT and hormesis can be integratively used for risk assessment purposes, and this integration defines the so-called “regulatory sweet spot.”.
机译:2015年6月23日,美国核监管委员会(NRC)在《联邦公报》中发布了正式通知,它将考虑“是否应根据线性非阈值(LNT)模型修改其“防辐射标准”规定。防护模型的辐射防护效果。”本评论基于以下内容支持此建议:(1)美国国家科学院(NAS)在1956年采用LNT的错误和欺骗性历史; (2)已记录的兴奋剂对低剂量区域中各种生物终点做出更准确的生物反应预测的能力; (3)从同行评审的生物医学文献中发现了大量的钟表数据,这些数据表明钟表的反应具有高度的普遍性,与生物学模型,测定的终点,诱导剂,生物学组织水平和机制无关。 (4)通过模型不确定性方法对兴奋剂和LNT模型进行整合,该方法可以优化10 ?4 的公共卫生响应。因此,LNT和兴奋剂都可以综合用于风险评估目的,这种整合定义了所谓的“监管最佳点”。

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