Great Lakes Toxicology and Ecology Division, U.S. Environmental Protection Agency, Office of Research and Development, Center for Computational Toxicology and Exposure, Duluth, Minnesota 55804.
Badger Technical Services, Great Lakes Toxicology and Ecology Division, U.S. Environmental Protection Agency, Office of Research and Development, Center for Computational Toxicology and Exposure, Duluth, Minnesota 55804.
Toxicol Sci. 2020 Jun 1;175(2):236-250. doi: 10.1093/toxsci/kfaa036.
Chemical safety evaluation is in the midst of a transition from traditional whole-animal toxicity testing to molecular pathway-based in vitro assays and in silico modeling. However, to facilitate the shift in reliance on apical effects for risk assessment to predictive surrogate metrics having characterized linkages to chemical mechanisms of action, targeted in vivo testing is necessary to establish these predictive relationships. In this study, we demonstrate a means to predict thyroid-related metamorphic success in the model amphibian Xenopus laevis using relevant biochemical measurements during early prometamorphosis. The adverse outcome pathway for thyroperoxidase inhibition leading to altered amphibian metamorphosis was used to inform a pathway-based in vivo study design that generated response-response relationships. These causal relationships were used to develop Bayesian probabilistic network models that mathematically determine conditional dependencies between biochemical nodes and support the predictive capability of the biochemical profiles. Plasma thyroxine concentrations were the most predictive of metamorphic success with improved predictivity when thyroid gland sodium-iodide symporter gene expression levels (a compensatory response) were used in conjunction with plasma thyroxine as an additional regressor. Although thyroid-mediated amphibian metamorphosis has been studied for decades, this is the first time a predictive relationship has been characterized between plasma thyroxine and metamorphic success. Linking these types of biochemical surrogate metrics to apical outcomes is vital to facilitate the transition to the new paradigm of chemical safety assessments.
化学安全评估正处于从传统的整体动物毒性测试向基于分子途径的体外检测和计算建模的转变过程中。然而,为了促进从基于顶极效应的风险评估转向具有化学作用机制关联特征的预测替代指标,有必要进行靶向体内测试,以建立这些预测关系。在这项研究中,我们展示了一种使用早期前变形期相关生化测量值预测模型两栖动物非洲爪蟾甲状腺相关变形成功的方法。甲状腺过氧化物酶抑制导致的改变两栖动物变形的不良结局途径被用来告知基于途径的体内研究设计,该设计产生了反应-反应关系。这些因果关系被用来开发贝叶斯概率网络模型,这些模型从数学上确定生化节点之间的条件依赖关系,并支持生化特征的预测能力。血浆甲状腺素浓度是预测变形成功的最具预测性指标,当将甲状腺钠碘转运体基因表达水平(代偿反应)与血浆甲状腺素一起用作附加回归因子时,预测能力得到提高。尽管甲状腺介导的两栖动物变形已经研究了几十年,但这是首次描述血浆甲状腺素与变形成功之间的预测关系。将这些类型的生化替代指标与顶极结果联系起来对于促进化学安全评估的新模式转变至关重要。