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本文引用的文献

1
Detection and Prioritization of Developmentally Neurotoxic and/or Neurotoxic Compounds Using Zebrafish.利用斑马鱼检测和优先考虑具有发育神经毒性和/或神经毒性的化合物。
Toxicol Sci. 2019 Mar 1;168(1):225-240. doi: 10.1093/toxsci/kfy291.
2
International Regulatory and Scientific Effort for Improved Developmental Neurotoxicity Testing.国际监管和科学努力以改善发育神经毒性测试。
Toxicol Sci. 2019 Jan 1;167(1):45-57. doi: 10.1093/toxsci/kfy211.
3
Teratological and Behavioral Screening of the National Toxicology Program 91-Compound Library in Zebrafish (Danio rerio).斑马鱼(Danio rerio)中 91 种化合物库的畸形学和行为筛选——国家毒理学计划
Toxicol Sci. 2019 Jan 1;167(1):77-91. doi: 10.1093/toxsci/kfy266.
4
Application of Benchmark Concentration (BMC) Analysis on Zebrafish Data: A New Perspective for Quantifying Toxicity in Alternative Animal Models.基准浓度(BMC)分析在斑马鱼数据中的应用:替代动物模型中量化毒性的新视角。
Toxicol Sci. 2019 Jan 1;167(1):92-104. doi: 10.1093/toxsci/kfy258.
5
Functional and Mechanistic Neurotoxicity Profiling Using Human iPSC-Derived Neural 3D Cultures.利用人诱导多能干细胞衍生的神经 3D 培养物进行功能和机制神经毒性分析。
Toxicol Sci. 2019 Jan 1;167(1):58-76. doi: 10.1093/toxsci/kfy218.
6
Comparative Analysis of Zebrafish and Planarian Model Systems for Developmental Neurotoxicity Screens Using an 87-Compound Library.斑马鱼和水螅模型系统在使用 87 种化合物文库进行发育神经毒性筛选中的比较分析。
Toxicol Sci. 2019 Jan 1;167(1):15-25. doi: 10.1093/toxsci/kfy180.
7
Multi-Behavioral Endpoint Testing of an 87-Chemical Compound Library in Freshwater Planarians.淡水涡虫中 87 种化合物文库的多行为终点测试。
Toxicol Sci. 2019 Jan 1;167(1):26-44. doi: 10.1093/toxsci/kfy145.
8
Systematic developmental neurotoxicity assessment of a representative PAH Superfund mixture using zebrafish.使用斑马鱼对代表性 PAH 超级基金混合物进行系统发育神经毒性评估。
Toxicol Appl Pharmacol. 2018 Sep 1;354:115-125. doi: 10.1016/j.taap.2018.03.029. Epub 2018 Apr 6.
9
Testing for developmental neurotoxicity using a battery of in vitro assays for key cellular events in neurodevelopment.使用一组体外测定法检测神经发育过程中的关键细胞事件,以评估发育神经毒性。
Toxicol Appl Pharmacol. 2018 Sep 1;354:24-39. doi: 10.1016/j.taap.2018.04.001. Epub 2018 Apr 5.
10
Recommendation on test readiness criteria for new approach methods in toxicology: Exemplified for developmental neurotoxicity.关于毒理学中新方法测试准备标准的建议:以发育神经毒性为例。
ALTEX. 2018;35(3):306-352. doi: 10.14573/altex.1712081. Epub 2018 Feb 23.

国家毒理学计划中的发育神经毒性筛查:未来已来。

Screening for Developmental Neurotoxicity at the National Toxicology Program: The Future Is Here.

机构信息

Division of the National Toxicology Program, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina 27709.

Kelly Government Solutions, Durham, North Carolina 27709.

出版信息

Toxicol Sci. 2019 Jan 1;167(1):6-14. doi: 10.1093/toxsci/kfy278.

DOI:10.1093/toxsci/kfy278
PMID:30496580
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6657567/
Abstract

The National Toxicology Program (NTP) receives requests to evaluate chemicals with potential to cause adverse health effects, including developmental neurotoxicity (DNT). Some recent requests have included classes of chemicals such as flame retardants, polycyclic aromatic compounds, perfluoroalkyl substances, and bisphenol A analogs with approximately 20-50 compounds per class, many of which include commercial mixtures. However, all the compounds within a class cannot be tested using traditional DNT animal testing guideline studies due to resource and time limitations. Hence, a rapid and biologically relevant screening approach is required to prioritize compounds for further in vivo testing. Because neurodevelopment is a complex process involving multiple distinct cellular processes, one assay will unlikely address the complexity. Hence, the NTP sought to characterize a battery of in vitro and alternative animal assays to quantify chemical effects on a variety of neurodevelopmental processes. A culmination of this effort resulted in a NTP-hosted collaborative project with approximately 40 participants spanning across domains of academia, industry, government, and regulatory agencies; collaborators presented data on cell-based assays and alternative animal models that was generated using a targeted set of compounds provided by the NTP. The NTP analyzed the assay results using benchmark concentration (BMC) modeling to be able to compare results across the divergent assays. The results were shared with the contributing researchers on a private web application during the workshop, and are now publicly available. This article highlights the overview and goals of the project, and describes the NTP's approach in creating the chemical library, development of NTPs data analysis strategy, and the structure of the web application. Finally, we discuss key issues with emphasis on the utility of this approach, and knowledge gaps that need to be addressed for its use in regulatory decision making.

摘要

国家毒理学计划(NTP)收到了评估具有潜在不良健康影响的化学物质的请求,包括发育神经毒性(DNT)。最近的一些请求包括阻燃剂、多环芳烃化合物、全氟烷基物质和双酚 A 类似物等类别的化学物质,每类约有 20-50 种化合物,其中许多包含商业混合物。然而,由于资源和时间限制,无法使用传统的 DNT 动物测试指南研究对一类中的所有化合物进行测试。因此,需要一种快速且与生物学相关的筛选方法来优先考虑进一步体内测试的化合物。由于神经发育是一个复杂的过程,涉及多个不同的细胞过程,一种测定方法不太可能解决复杂性。因此,NTP 试图描述一系列体外和替代动物测定方法,以量化化学物质对各种神经发育过程的影响。这项工作的成果是 NTP 主办的一个合作项目,大约有 40 名参与者来自学术界、工业界、政府和监管机构等领域;合作者提供了基于细胞的测定和替代动物模型的数据,这些数据是使用 NTP 提供的一组目标化合物生成的。NTP 使用基准浓度 (BMC) 建模分析了测定结果,以便能够比较不同测定方法的结果。在研讨会上,研究结果通过私人网络应用程序与做出贡献的研究人员共享,现在已经公开。本文重点介绍了该项目的概述和目标,并描述了 NTP 创建化学文库、制定 NTP 数据分析策略以及网络应用程序结构的方法。最后,我们讨论了关键问题,并强调了这种方法的实用性以及在监管决策中使用它需要解决的知识差距。