Li Hequn, Rietjens Ivonne M C M, Louisse Jochem, Blok Martine, Wang Xinyi, Snijders Linda, van Ravenzwaay Bennard
Division of Toxicology, Wageningen University, Tuinlaan 5, 6703 HE Wageningen, The Netherlands.
Division of Toxicology, Wageningen University, Tuinlaan 5, 6703 HE Wageningen, The Netherlands.
Toxicol In Vitro. 2015 Mar;29(2):320-8. doi: 10.1016/j.tiv.2014.11.012. Epub 2014 Dec 6.
We investigated the applicability of the ES-D3 cell differentiation assay combined with the in vitro BeWo transport model to predict the relative in vivo developmental toxicity potencies. To this purpose, the in vitro developmental toxicity of five antifungal compounds was investigated by characterizing their inhibitory effect on the differentiation of ES-D3 cells into cardiomyocytes. The BeWo transport model, consisting of BeWo b30 cells grown on transwell inserts and mimicking the placental barrier, was used to determine the relative placental transport velocity. The ES-D3 cell differentiation data were first compared to benchmark doses (BMDs) for in vivo developmental toxicity as derived from data reported in the literature. Correlation between the benchmark concentration for 50% effect (BMCd50) values, obtained in the ES-D3 cell differentiation assay, with in vivo BMD10 values showed a reasonable correlation (R(2)=0.57). When the ES-D3 cell differentiation data were combined with the relative transport rates obtained from the BeWo model, the correlation with the in vivo data increased (R(2)=0.95). In conclusion, we show that the ES-D3 cell differentiation assay is able to better predict the in vivo developmental toxicity ranking of antifungal compounds when combined with the BeWo transport model, than as a stand-alone assay.
我们研究了ES-D3细胞分化试验与体外BeWo转运模型相结合用于预测相对体内发育毒性效力的适用性。为此,通过表征五种抗真菌化合物对ES-D3细胞分化为心肌细胞的抑制作用,研究了它们的体外发育毒性。由生长在Transwell小室上并模拟胎盘屏障的BeWo b30细胞组成的BeWo转运模型,用于确定相对胎盘转运速度。首先将ES-D3细胞分化数据与文献报道数据得出的体内发育毒性基准剂量(BMDs)进行比较。在ES-D3细胞分化试验中获得的50%效应基准浓度(BMCd50)值与体内BMD10值之间的相关性显示出合理的相关性(R(2)=0.57)。当将ES-D3细胞分化数据与从BeWo模型获得的相对转运速率相结合时,与体内数据的相关性增加(R(2)=0.95)。总之,我们表明,与单独试验相比,ES-D3细胞分化试验与BeWo转运模型相结合时能够更好地预测抗真菌化合物的体内发育毒性排名。