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区分化合物在斑马鱼胚胎中诱导颅面畸形的作用方式,以支持联合暴露中剂量-反应建模。

Distinguishing mode of action of compounds inducing craniofacial malformations in zebrafish embryos to support dose-response modeling in combined exposures.

机构信息

Department for Innovative Testing Strategies, Centre for Health Protection, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands.

Centre for Safety of Substances and Products, RIVM, the Netherlands.

出版信息

Reprod Toxicol. 2020 Sep;96:114-127. doi: 10.1016/j.reprotox.2020.06.002. Epub 2020 Jun 15.

DOI:10.1016/j.reprotox.2020.06.002
PMID:32553615
Abstract

Knowledge on mode-of-action (MOA) is required to understand toxicological effects of compounds, notably in the context of risk assessment of mixtures. Such information is generally scarce, and often complicated by the existence of multiple MOAs per compound. Here, MOAs related to developmental craniofacial malformations were derived from literature, and assembled in a MOA network. A selection of gene expression markers was based on these MOAs. Next, these markers were verified by qPCR in zebrafish embryos, after exposure to reference compounds. These were: triazoles for inhibition of retinoic acid (RA) metabolism, AM580 and CD3254 for selective activation of respectively RA-receptor (RAR) and retinoid-X-receptor (RXR), dithiocarbamates for inhibition of lysyl oxidase, TCDD for activation of the aryl-hydrocarbon-receptor (AhR), VPA for inhibition of histone deacetylase (HDAC), and PFOS for activation of peroxisome proliferator-activated receptor-alpha (PPARα). Next, marker gene profiles for these reference compounds were used to map the profiles of test compounds to known MOAs. In this way, 2,4-dinitrophenol matched with the TCDD and RAR profiles, boric acid with RAR, endosulfan with PFOS, fenpropimorph with dithiocarbamates, PCB126 with AhR, and RA with triazoles and RAR profiles. Prochloraz showed no match. Activities of these compounds in ToxCast assays, and in silico analysis of binding affinity to the respective targets showed limited concordance with the marker gene expression profiles, but still confirmed the complex MOA profiles of reference and test compounds. Ultimately, this approach could be used to support modeling of mixture effects based on upfront knowledge of (dis)similarity of MOAs.

摘要

关于作用模式(MOA)的知识对于理解化合物的毒理学效应是必要的,特别是在混合物风险评估的背景下。此类信息通常较为缺乏,而且往往因每个化合物存在多种作用模式而变得复杂。在这里,我们从文献中提取了与发育性颅面畸形相关的作用模式,并将其组装成一个作用模式网络。根据这些作用模式选择了一组基因表达标志物。接下来,我们在暴露于参考化合物后,使用这些标志物在斑马鱼胚胎中进行 qPCR 验证。参考化合物包括:三唑类化合物,用于抑制视黄酸(RA)代谢;AM580 和 CD3254,分别用于选择性激活 RA 受体(RAR)和视黄醛-X 受体(RXR);二硫代氨基甲酸盐,用于抑制赖氨酰氧化酶;TCDD,用于激活芳烃受体(AhR);VPA,用于抑制组蛋白去乙酰化酶(HDAC);PFOS,用于激活过氧化物酶体增殖物激活受体-α(PPARα)。然后,我们将这些参考化合物的标记基因图谱用于将测试化合物的图谱映射到已知的作用模式上。这样,2,4-二硝基苯酚与 TCDD 和 RAR 图谱相匹配,硼酸与 RAR 图谱相匹配,硫丹与 PFOS 图谱相匹配,苯醚甲环唑与二硫代氨基甲酸盐图谱相匹配,PCB126 与 AhR 图谱相匹配,而 RA 与三唑类化合物和 RAR 图谱相匹配。丙环唑则没有匹配。这些化合物在 ToxCast 测定中的活性,以及与各自靶标的结合亲和力的计算机模拟分析,与标记基因表达图谱的一致性有限,但仍证实了参考化合物和测试化合物的复杂作用模式。最终,这种方法可用于支持基于作用模式(相似或不同)的混合物效应建模。

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