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ToxRefDB version 2.0: Improved utility for predictive and retrospective toxicology analyses.ToxRefDB 版本 2.0:用于预测和回顾性毒理学分析的改进工具。
Reprod Toxicol. 2019 Oct;89:145-158. doi: 10.1016/j.reprotox.2019.07.012. Epub 2019 Jul 21.
2
Pluripotent Stem Cells in Developmental Toxicity Testing: A Review of Methodological Advances.多能干细胞在发育毒性测试中的应用:方法学进展综述。
Toxicol Sci. 2018 Sep 1;165(1):31-39. doi: 10.1093/toxsci/kfy174.
3
Species-specific developmental toxicity in rats and rabbits: Generation of a reference compound list for development of alternative testing approaches.种属特异性发育毒性在大鼠和兔中的表现:替代检测方法开发中参考化合物清单的生成。
Reprod Toxicol. 2018 Mar;76:93-102. doi: 10.1016/j.reprotox.2018.01.005. Epub 2018 Feb 1.
4
A human induced pluripotent stem cell-based in vitro assay predicts developmental toxicity through a retinoic acid receptor-mediated pathway for a series of related retinoid analogues.一种基于人诱导多能干细胞的体外检测方法,通过视黄酸受体介导的途径,对一系列相关视黄酸类似物进行发育毒性预测。
Reprod Toxicol. 2017 Oct;73:350-361. doi: 10.1016/j.reprotox.2017.07.011. Epub 2017 Jul 23.
5
The Threshold of Toxicological Concern for prenatal developmental toxicity in rats and rabbits.大鼠和家兔产前发育毒性的毒理学关注阈值。
Regul Toxicol Pharmacol. 2017 Aug;88:157-172. doi: 10.1016/j.yrtph.2017.06.008. Epub 2017 Jun 20.
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Exposure-Based Validation of an In Vitro Gastrulation Model for Developmental Toxicity Assays.基于暴露的体外原肠胚形成模型用于发育毒性检测的验证。
Toxicol Sci. 2017 May 1;157(1):235-245. doi: 10.1093/toxsci/kfx034.
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Comparison of rat and rabbit embryo-fetal developmental toxicity data for 379 pharmaceuticals: on the nature and severity of developmental effects.379种药物的大鼠和兔胚胎-胎儿发育毒性数据比较:关于发育效应的性质和严重程度
Crit Rev Toxicol. 2016 Nov;46(10):900-910. doi: 10.1080/10408444.2016.1224807. Epub 2016 Oct 19.
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tcpl: the ToxCast pipeline for high-throughput screening data.TCPl:用于高通量筛选数据的ToxCast流程
Bioinformatics. 2017 Feb 15;33(4):618-620. doi: 10.1093/bioinformatics/btw680.
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FutureTox III: Bridges for Translation.未来毒理学III:翻译桥梁。
Toxicol Sci. 2017 Jan;155(1):22-31. doi: 10.1093/toxsci/kfw194. Epub 2016 Oct 25.
10
ToxCast Chemical Landscape: Paving the Road to 21st Century Toxicology.ToxCast化学图谱:为21世纪毒理学铺平道路。
Chem Res Toxicol. 2016 Aug 15;29(8):1225-51. doi: 10.1021/acs.chemrestox.6b00135. Epub 2016 Jul 20.

利用基于多能人(H9)干细胞系的发育毒性生物标志物测定法对 ToxCast 文库进行分析。

Profiling the ToxCast Library With a Pluripotent Human (H9) Stem Cell Line-Based Biomarker Assay for Developmental Toxicity.

机构信息

National Center for Computational Toxicology (NCCT).

National Health and Environmental Effects Research Laboratory (NHEERL), Office of Research and Development (ORD), U.S. Environmental Protection Agency (USEPA), Research Triangle Park, North Carolina.

出版信息

Toxicol Sci. 2020 Apr 1;174(2):189-209. doi: 10.1093/toxsci/kfaa014.

DOI:10.1093/toxsci/kfaa014
PMID:32073639
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8527599/
Abstract

The Stemina devTOX quickPredict platform is a human pluripotent stem cell-based assay that predicts the developmental toxicity potential based on changes in cellular metabolism following chemical exposure [Palmer, J. A., Smith, A. M., Egnash, L. A., Conard, K. R., West, P. R., Burrier, R. E., Donley, E. L. R., and Kirchner, F. R. (2013). Establishment and assessment of a new human embryonic stem cell-based biomarker assay for developmental toxicity screening. Birth Defects Res. B Dev. Reprod. Toxicol. 98, 343-363]. Using this assay, we screened 1065 ToxCast phase I and II chemicals in single-concentration or concentration-response for the targeted biomarker (ratio of ornithine to cystine secreted or consumed from the media). The dataset from the Stemina (STM) assay is annotated in the ToxCast portfolio as STM. Major findings from the analysis of ToxCast_STM dataset include (1) 19% of 1065 chemicals yielded a prediction of developmental toxicity, (2) assay performance reached 79%-82% accuracy with high specificity (> 84%) but modest sensitivity (< 67%) when compared with in vivo animal models of human prenatal developmental toxicity, (3) sensitivity improved as more stringent weights of evidence requirements were applied to the animal studies, and (4) statistical analysis of the most potent chemical hits on specific biochemical targets in ToxCast revealed positive and negative associations with the STM response, providing insights into the mechanistic underpinnings of the targeted endpoint and its biological domain. The results of this study will be useful to improving our ability to predict in vivo developmental toxicants based on in vitro data and in silico models.

摘要

Stemina devTOX quickPredict 平台是一种基于人多能干细胞的检测方法,可根据化学暴露后细胞代谢的变化预测发育毒性潜力[Palmer, J. A., Smith, A. M., Egnash, L. A., Conard, K. R., West, P. R., Burrier, R. E., Donley, E. L. R., and Kirchner, F. R. (2013). Establishment and assessment of a new human embryonic stem cell-based biomarker assay for developmental toxicity screening. Birth Defects Res. B Dev. Reprod. Toxicol. 98, 343-363]。我们使用该检测方法对 1065 种 ToxCast 一期和二期化学品进行了单点浓度或浓度反应筛查,针对的是靶向生物标志物(从培养基中分泌或消耗的鸟氨酸与胱氨酸之比)。Stemina(STM)检测法的数据集在 ToxCast 投资组合中被标注为 STM。从 ToxCast_STM 数据集分析中得出的主要发现包括:(1)1065 种化学物质中有 19%预测具有发育毒性,(2)与人类产前发育毒性的体内动物模型相比,当与体内动物模型相比时,检测法的性能达到了 79%-82%的准确率,具有较高的特异性(>84%)但敏感性较低(<67%),(3)随着对动物研究应用更严格的证据权重要求,敏感性提高,(4)对 ToxCast 中特定生化靶标上最有效化学物质的统计分析显示与 STM 反应呈阳性和阴性关联,为靶向终点及其生物学域的机制基础提供了深入了解。这项研究的结果将有助于提高我们基于体外数据和计算模型预测体内发育毒物的能力。