Zimmer B, Pallocca G, Dreser N, Foerster S, Waldmann T, Westerhout J, Julien S, Krause K H, van Thriel C, Hengstler J G, Sachinidis A, Bosgra S, Leist M
Center for Stem Cell Biology, Sloan-Kettering Institute for Cancer Research, New York City, NY, USA.
Arch Toxicol. 2014 May;88(5):1109-26. doi: 10.1007/s00204-014-1231-9. Epub 2014 Apr 2.
Developmental toxicity in vitro assays have hitherto been established as stand-alone systems, based on a limited number of toxicants. Within the embryonic stem cell-based novel alternative tests project, we developed a test battery framework that allows inclusion of any developmental toxicity assay and that explores the responses of such test systems to a wide range of drug-like compounds. We selected 28 compounds, including several biologics (e.g., erythropoietin), classical pharmaceuticals (e.g., roflumilast) and also six environmental toxicants. The chemical, toxicological and clinical data of this screen library were compiled. In order to determine a non-cytotoxic concentration range, cytotoxicity data were obtained for all compounds from HEK293 cells and from murine embryonic stem cells. Moreover, an estimate of relevant exposures was provided by literature data mining. To evaluate feasibility of the suggested test framework, we selected a well-characterized assay that evaluates 'migration inhibition of neural crest cells.' Screening at the highest non-cytotoxic concentration resulted in 11 hits (e.g., geldanamycin, abiraterone, gefitinib, chlorpromazine, cyproconazole, arsenite). These were confirmed in concentration-response studies. Subsequent pharmacokinetic modeling indicated that triadimefon exerted its effects at concentrations relevant to the in vivo situation, and also interferon-β and polybrominated diphenyl ether showed effects within the same order of magnitude of concentrations that may be reached in humans. In conclusion, the test battery framework can identify compounds that disturb processes relevant for human development and therefore may represent developmental toxicants. The open structure of the strategy allows rich information to be generated on both the underlying library, and on any contributing assay.
迄今为止,基于有限数量的毒物,体外发育毒性试验已被确立为独立的系统。在基于胚胎干细胞的新型替代试验项目中,我们开发了一个试验组合框架,该框架允许纳入任何发育毒性试验,并探索此类试验系统对多种类药物化合物的反应。我们选择了28种化合物,包括几种生物制品(如促红细胞生成素)、传统药物(如罗氟司特)以及六种环境毒物。编制了该筛选库的化学、毒理学和临床数据。为了确定无细胞毒性的浓度范围,获取了所有化合物在人胚肾293细胞和小鼠胚胎干细胞中的细胞毒性数据。此外,通过文献数据挖掘提供了相关暴露量的估计值。为了评估所建议试验框架的可行性,我们选择了一种特征明确的试验,该试验评估“神经嵴细胞迁移抑制”。在最高无细胞毒性浓度下进行筛选,得到了11个阳性结果(如格尔德霉素、阿比特龙、吉非替尼、氯丙嗪、环丙唑醇、亚砷酸盐)。这些结果在浓度-反应研究中得到了证实。随后的药代动力学建模表明,三唑酮在与体内情况相关的浓度下发挥作用,干扰素-β和多溴二苯醚在可能在人体中达到的相同浓度数量级内也显示出作用。总之,试验组合框架可以识别干扰与人类发育相关过程的化合物,因此可能代表发育毒物。该策略的开放结构允许在基础库和任何相关试验方面生成丰富信息。