German Federal Institute for Risk Assessment, Dept. Food Safety, Berlin, Germany.
National Institute for Agricultural Research, INRA Unit 1331, TOXALIM, France.
Food Chem Toxicol. 2020 May;139:111283. doi: 10.1016/j.fct.2020.111283. Epub 2020 Mar 19.
Exposure to complex chemical mixtures requires a tiered strategy for efficient mixture risk assessment. As a part of the EuroMix project we developed an adverse outcome pathway (AOP)-based assay toolbox to investigate the combined effects of the liver steatosis-inducing compounds imazalil, thiacloprid, and clothianidin in human HepaRG hepatocarcinoma cells. Compound-specific relative potency factors were determined using a benchmark dose approach. Equipotent mixtures were tested for nuclear receptor activation, gene and protein expression, and triglyceride accumulation, according to the molecular initiating events and key events proposed in the steatosis AOP. All three compounds affected the activity of nuclear receptors, but not key genes/proteins as proposed. Triglyceride accumulation was observed with three different methods. Mixture effects were in agreement with the assumption of dose additivity for all the combinations and endpoints tested. Compound-specific RPFs remained similar over the different endpoints studied downstream the AOP. Therefore, it might be possible to reduce testing to a smaller battery of key tests. The results demonstrate the suitability of our in vitro assay toolbox, integrated within an AOP framework and combined with the RPF approach, for the analysis of steatotic effects of chemical mixtures. However, mRNA results suggest that the steatosis AOP still needs improvement.
接触复杂的化学混合物需要分层策略来有效进行混合物风险评估。作为 EuroMix 项目的一部分,我们开发了一种基于不良结局途径 (AOP) 的测定工具包,用于研究致肝脂肪变性化合物咪鲜胺、噻虫啉和噻虫嗪在人 HepaRG 肝癌细胞中的联合作用。使用基准剂量方法确定了化合物特异性相对效力因子。根据脂肪变性 AOP 中提出的分子起始事件和关键事件,对等效混合物进行了核受体激活、基因和蛋白表达以及甘油三酯积累的测试。这三种化合物都影响了核受体的活性,但没有像提议的那样影响关键基因/蛋白。使用三种不同的方法观察到甘油三酯积累。所有测试组合和终点的混合物效应均符合加和性假设。在研究 AOP 下游的不同终点时,化合物特异性 RPF 保持相似。因此,有可能将测试减少到更小的一组关键测试。结果表明,我们的体外测定工具包在 AOP 框架内集成并结合 RPF 方法,非常适合分析化学混合物的脂肪变性效应。然而,mRNA 结果表明脂肪变性 AOP 仍需要改进。