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费氏弧菌急性毒性数据的验证:基于作用机制的非极性麻醉药和极性麻醉酚类定量构效关系

Validation of Vibrio fisheri acute toxicity data: mechanism of action-based QSARs for non-polar narcotics and polar narcotic phenols.

作者信息

Cronin M T, Schultz T W

机构信息

School of Pharmacy and Chemistry, Liverpool John Moores University, UK.

出版信息

Sci Total Environ. 1997 Sep 19;204(1):75-88. doi: 10.1016/s0048-9697(97)00179-4.

Abstract

Quantitative structure-activity relationships (QSARs) have been utilized to validate toxicity data to Vibrio fisheri (the acute Microtox test) at each of the 5-, 15- and 30-min endpoints. Statistically robust QSARs were found for chemicals acting by a non-polar narcosis mechanism of action (MOA). The baseline, non-polar narcosis QSARs were similar to those found in other aquatic organisms, thus indicating that for this MOA, the acute V. fisheri assay makes a suitable surrogate for higher test species. For the toxicity of phenols, previously modeled in other species with parameters describing membrane transport (i.e. hydrophobicity) and soft electrophilicity or ionization, no significant relationships were obtained. The use of acute V. fisheri toxicity data is not recommended for extrapolation to higher species for these compounds. Despite this recommendation, it was noted, however, that a 'minimal' phenolic toxicity was apparent that was analogous to polar narcosis in other species. This confirmed that a polar narcosis MOA does operate in the acute V. fisheri system analogous to other species. For all the compounds considered, there were highly significant correlations between the toxicities at each endpoint, indicating that data from different time endpoints were effectively interchangeable.

摘要

定量构效关系(QSARs)已被用于验证在5分钟、15分钟和30分钟这三个时间点对费氏弧菌(急性发光细菌毒性试验)的毒性数据。对于通过非极性麻醉作用机制(MOA)起作用的化学物质,发现了具有统计学稳健性的QSARs。基线非极性麻醉QSARs与在其他水生生物中发现的相似,因此表明对于这种作用机制,急性费氏弧菌试验可作为高等试验物种的合适替代方法。对于酚类的毒性,此前在其他物种中用描述膜转运(即疏水性)和软亲电性或电离的参数进行建模,但未获得显著关系。不建议使用急性费氏弧菌毒性数据来外推这些化合物对高等物种的毒性。尽管有此建议,但值得注意的是,一种类似于其他物种中极性麻醉的“最小”酚类毒性是明显的。这证实了极性麻醉作用机制在急性费氏弧菌系统中与其他物种类似地起作用。对于所有考虑的化合物,每个时间点的毒性之间存在高度显著的相关性,表明来自不同时间点的数据可有效互换。

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