Raimondo Sandy, Vivian Deborah N, Barron Mace G
National Health and Environmental Effects Laboratory, Gulf Ecology Division, US Environmental Protection Agency, 1 Sabine Island Drive, Gulf Breeze, FL, 32561, USA.
Ecotoxicology. 2009 Oct;18(7):918-28. doi: 10.1007/s10646-009-0353-y. Epub 2009 Jun 16.
Ecotoxicological models generally have large data requirements and are frequently based on existing information from diverse sources. Standardizing data for toxicological models may be necessary to reduce extraneous variation and to ensure models reflect intrinsic relationships. However, the extent to which data standardization is necessary remains unclear, particularly when data transformations are used in model development. An extensive acute toxicity database was compiled for aquatic species to comprehensively assess the variation associated with acute toxicity test type (e.g., flow-through, static), reporting concentrations as nominal or measured, and organism life stage. Three approaches were used to assess the influence of these factors on log-transformed acute toxicity: toxicity ratios, log-linear models of factor groups, and comparison of interspecies correlation estimation (ICE) models developed using either standardized test types or reported concentration type. In general, median ratios were generally less than 2.0, the slopes of log-linear models were approximately one for well-represented comparisons, and ICE models developed using data from standardized test types or reported concentrations did not differ substantially. These results indicate that standardizing test data by acute test type, reported concentration type, or life stage may not be critical for developing ecotoxicological models using large datasets of log-transformed values.
生态毒理学模型通常需要大量数据,且常常基于来自不同来源的现有信息。为毒理学模型标准化数据可能有必要减少无关变异,并确保模型反映内在关系。然而,数据标准化的必要性程度仍不明确,尤其是在模型开发中使用数据转换时。为水生物种编制了一个广泛的急性毒性数据库,以全面评估与急性毒性试验类型(如流水式、静态式)、报告浓度为标称浓度或实测浓度以及生物生命阶段相关的变异。采用了三种方法来评估这些因素对对数转换后的急性毒性的影响:毒性比、因子组的对数线性模型,以及使用标准化试验类型或报告浓度类型开发的种间相关性估计(ICE)模型的比较。一般来说,中位数比通常小于2.0,对于代表性较好的比较,对数线性模型的斜率约为1,并且使用来自标准化试验类型或报告浓度的数据开发的ICE模型没有显著差异。这些结果表明,通过急性试验类型、报告浓度类型或生命阶段对试验数据进行标准化,对于使用对数转换值的大型数据集开发生态毒理学模型可能并不关键。