生物信息学
决策树
工具箱
数量结构-活动关系
畸形学
毒理
稳健性(进化)
生化工程
计算机科学
计算生物学
机器学习
生物
工程类
生物化学
怀孕
妊娠期
遗传学
基因
程序设计语言
作者
M. Burbank,F. Gautier,Nicola J. Hewitt,Ann Detroyer,L. Guillet-Revol,Léopold Carron,T. Wildemann,T. Bringel,A. Riu,A. Noel-Voisin,N. De Croze,Martine Léonard,Gladys Ouédraogo
标识
DOI:10.1016/j.reprotox.2023.108454
摘要
Many New Approach methodologies (NAMs) have been developed for the safety assessment of new ingredients. Research into reproductive toxicity and teratogenicity is a particularly high priority, especially given their mechanistic complexity. Forty-six non-teratogenic and 39 teratogenic chemicals were screened for teratogenic potential using the in silico DART model from the OECD QSAR Toolbox; the devTox quickPredictTM test and the Zebrafish Embryotoxicity Test (ZET). The sensitivity and specificity were 94.7% and 84.1%, respectively, for the DART tree (83 chemicals), 86.1% and 35.6% for the devTox (81 chemicals) and 77.8% and 76.7% for the ZET (57 chemicals)). Fifty-three chemicals were tested in all three assays and when results were combined and based on a "2 out of 3 rule", the sensitivity and specificity were 96.0% and 71.4%, respectively. The specificity of the devTox assay for a sub-set of 43 chemicals was increased from 26.1% to 82.6% by incorporating human plasma concentrations into the assay interpretation. When all 85 chemicals were assessed in a decision tree approach, there was an excellent predictivity and assay robustness of 90%. In conclusion, all three models exhibited a good sensitivity and specificity, especially when outcomes from all three were combined or used in "2 out of 3" or a tiered decision tree approach. The latter is an interesting predictive approach for evaluating the teratogenic potential of new chemicals. Future investigations will extend the number of chemicals tested, as well as explore ways to refine the results and obtain a robust Integrated Testing Strategy to evaluate teratogenic potential.
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