The interaction effects of binary mixtures of benzene and toluene on the developing heart of medaka (Oryzias latipes)
The interaction effects of binary mixtures of benzene and toluene on the developing heart of medaka (Oryzias latipes)
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DOI：
10.1016/j.chemosphere.2004.09.075
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发表时间：
2005-03-01
期刊：
影响因子：
8.8
通讯作者：
Cubbison, C
中科院分区：
文献类型：
--
作者：
Teuschler, LK;Gennings, C;Cubbison, C
自20世纪80年代初以来，美国环境保护署(USEPA)一直在评估接触化学混合物对健康不利影响的风险。用于计算混合物风险估计的方法往往基于单一的化学品信息，这些信息需要剂量-添加或反应-添加的假设，而不考虑由于化学品之间的相互作用而可能引起的反应的变化。实验室研究的完全析因设计可以产生相互作用的信息，但这些设计的执行成本很高，而且可能无法提供评估特定环境相关混合物所需的信息。在这项研究中，多组日本青竹胚胎被暴露在苯和甲苯的二元混合物中，以及单独接触这些化学物质中的每一种。在剂量-可加性假设下，利用苯和甲苯的单一化学剂量-反应信息，建立了碳氢化合物混合物的终点特定的剂量-反应模型。终点包括心率、心率进展和致死率。结果包括在发育72it时心率的协同反应，以及在发育96h时所有其他终点的相加或拮抗。这项工作使用了一种既定的统计方法来评估与环境相关的混合物的毒性，以确定是否发生了相互作用的影响，从而提供了关于毒性的额外信息。(C)2004爱思唯尔有限公司。保留所有权利。
The United States Environmental Protection Agency (USEPA) has pursued the estimation of risk of adverse health effects from exposure to chemical mixtures since the early 1980s. Methods used to calculate risk estimates of mixtures were often based on single chemical information that required assumptions of dose-addition or response-addition and did not consider possible changes in response due to interaction effects among chemicals. Full factorial designs for laboratory studies can produce interactions information, but these are expensive to perform and may not provide the information needed to evaluate specific environmentally relevant mixtures. In this research, groups of Japanese medaka (Oryzias latipes) embryos were exposed to binary mixtures of benzene and toluene as well as to each of these chemicals alone. Endpoint specific,dose-response models were built for the hydrocarbon mixture under an assumption of dose-additivity, using the single chemical dose-response information on benzene and toluene. The endpoints included heart rate, heart rate progression, and lethality. Results included a synergistic response for heart rate at 72 It of development, and either additivity or antagonism for all other endpoints at 96h of development. This work uses an established statistical method to evaluate the toxicity of an environmentally relevant mixture to ascertain whether interaction effects are occurring, thus providing additional information on toxicity. (C) 2004 Elsevier Ltd. All rights reserved.