首页> 外文期刊>Food and Chemical Toxicology: An International Journal Published for the British Industrial Biological Research >Applying theoretical premises of binary toxicity mathematical modeling to combined impacts of chemical plus physical agents (A case study of moderate subchronic exposures to fluoride and static magnetic field)
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Applying theoretical premises of binary toxicity mathematical modeling to combined impacts of chemical plus physical agents (A case study of moderate subchronic exposures to fluoride and static magnetic field)

机译:将二元毒性数学模型的理论前提应用于化学和物理因素的综合影响(以中等亚慢性暴露于氟化物和静磁场为例)

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Sodium fluoride solution was injected i.p. to rats at a dose equivalent to 0.1 LD50 three times a week up to 18 injections. Two thirds of these rats and of the sham-injected ones were exposed to the whole body impact of a 25 mT static magnetic field for 2 or 4 h a day, 5 times a week. For mathematical analysis of the effects they produced in combination, we used a response surface model. This analysis demonstrated that (like in combined toxicity) the combined adverse action of a chemical plus a physical agent was characterized by a diversity of types depending not only on particular effects these types were assessed for but on their level as well. From this point of view, the indices for which at least one statistically significant effect was observed could be classified as identifying (1) single-factor action; (2) additivity; (3) synergism; (4) antagonism (both subadditive unidirectional action and all variants of contradirectional action). Although the classes (2) and (3) taken together encompass a smaller part of the indices, the biological importance of some of them renders the combination of agents studied as posing a higher health risk than that associated with each them acting alone. (C) 2016 Elsevier Ltd. All rights reserved.
机译:腹膜内注射氟化钠溶液。每周三次,以0.1 LD50的剂量给予大鼠,最多18次注射。这些大鼠和假注射的大鼠中,有三分之二每天暴露于25 mT静磁场的全身冲击下,每天2至4小时,每周5次。为了对其组合产生的效果进行数学分析,我们使用了响应面模型。该分析表明(如组合毒性一样),化学物与物理剂的综合不良作用的特征在于多种类型,不仅取决于评估这些类型的特定效果,还取决于其水平。从这一观点出发,可以将观察到至少一项统计学上显着影响的指标归类为:(1)单因素作用; (2)可加性; (3)协同作用; (4)拮抗作用(亚加性单向作用和反向作用的所有变体)。尽管类别(2)和(3)一起占了指标的较小部分,但其中某些指标的生物学重要性使所研究的药物组合比与单独使用各自的药物相关的健康风险更高。 (C)2016 Elsevier Ltd.保留所有权利。

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