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源自动物模型的人类中钚-239的骨癌风险。

Bone cancer risk of (239)pu in humans derived from animal models.

作者信息

Bijwaard Harmen, Dekkers Fieke

机构信息

RIVM-National Institute for Public Health and the Environment, Laboratory of Radiation Research, Bilthoven, The Netherlands. Harmen.

出版信息

Radiat Res. 2007 Nov;168(5):582-92. doi: 10.1667/RR0903.1.

Abstract

Two-mutation model fits to bone cancer mortality data from mice, rats and beagle dogs injected with (239)Pu or (226)Ra show that (1) it is possible to fit the radiation-related parameters for animals from different strains of the same species together; (2) for every species the same significant parameters are found in the models for (239)Pu and in the models for (226)Ra, and the only difference is in the value of the linear mutation coefficient; and (3) the toxicity ratio, when defined as the ratio of the linear mutation coefficients for (239)Pu over (226)Ra, has a relatively uniform value of approximately 8 for the species considered. This relatively constant ratio enables the development of a (239)Pu model for humans that is based on the radium dial painters and the toxicity ratio for beagles. The model predictions agree well with published risk estimates based on other data and derived using alternative approaches. This has two important implications: (1) The two-mutation model appears to be a useful tool in translating from animal models to humans in a meaningful way; and (2) once a two-mutation model for humans has been derived, radiation risks can be calculated that depend on doses, dose rates and ages at exposure. Such a model therefore supplements published risk estimates that often lack such dependences.

摘要

对注射了(239)钚或(226)镭的小鼠、大鼠和比格犬的骨癌死亡率数据进行双突变模型拟合,结果表明:(1)有可能将同一物种不同品系动物的辐射相关参数合并拟合;(2)对于每个物种,在(239)钚模型和(226)镭模型中都能找到相同的显著参数,唯一的区别在于线性突变系数的值;(3)当将毒性比定义为(239)钚与(226)镭的线性突变系数之比时,在所考虑的物种中该值相对统一,约为8。这种相对恒定的比率使得能够基于镭表盘画家和比格犬的毒性比来开发人类的(239)钚模型。该模型预测与基于其他数据并使用替代方法得出的已发表风险估计值吻合良好。这有两个重要意义:(1)双突变模型似乎是一种以有意义的方式从动物模型转化到人类模型的有用工具;(2)一旦得出人类的双突变模型,就可以计算出取决于剂量、剂量率和暴露年龄的辐射风险。因此,这样一个模型补充了通常缺乏此类依赖性的已发表风险估计值。

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