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支持数据外推的新方法(NAMs):基于两个神经毒性 AOP 的 IATA 案例研究。

New approach methods (NAMs) supporting read-across: Two neurotoxicity AOP-based IATA case studies.

机构信息

Division of Drug Discovery and Safety, Leiden Academic Centre of Drug Research, Leiden University, Leiden, The Netherlands.

Division of Molecular and Computational Toxicology, Department of Chemistry and Pharmaceutical Sciences, AIMMS, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.

出版信息

ALTEX. 2021;38(4):615-635. doi: 10.14573/altex.2103051. Epub 2021 Jun 10.

Abstract

Read-across approaches are considered key in moving away from in vivo animal testing towards addressing data-gaps using new approach methods (NAMs). Ample successful examples are still required to substantiate this strategy. Here we present and discuss the learnings from two OECD IATA endorsed read-across case studies. They involve two classes of pesticides – rotenoids and strobilurins – each having a defined mode-of-action that is assessed for its neurological hazard by means of an AOP-based testing strategy coupled to toxicokinetic simulations of human tissue concentrations. The endpoint in question is potential mitochondrial respiratory chain mediated neurotoxicity, specifically through inhibition of complex I or III. An AOP linking inhibition of mitochondrial respiratory chain complex I to the degeneration of dopaminergic neurons formed the basis for both cases but was deployed in two different regulatory contexts. The two cases also exemplify several different read-across concepts: analogue versus category approach, consolidated versus putative AOP, positive versus negative prediction (i.e., neurotoxicity versus low potential for neurotoxicity), and structural versus biological similarity. We applied a range of NAMs to explore the toxicodynamic properties of the compounds, e.g., in silico docking as well as in vitro assays and readouts – including transcriptomics – in various cell systems, all anchored to the relevant AOPs. Interestingly, although some of the data addressing certain elements of the read-across were associated with high uncertainty, their impact on the overall read-across conclusion remained limited. Coupled to the elaborate regulatory review that the two cases underwent, we propose some generic learnings of AOP-based testing strategies supporting read-across.

摘要

阅读交叉方法被认为是从体内动物测试转向使用新方法(NAMs)解决数据空白的关键。仍然需要充分的成功案例来证实这一策略。在这里,我们介绍并讨论了经 OECD IATA 认可的两个阅读交叉案例研究的经验教训。它们涉及两类农药——鱼藤酮和strobilurins——每一类都有一个明确的作用模式,通过基于 AOP 的测试策略和对人体组织浓度的毒代动力学模拟来评估其神经危害。所涉及的终点是潜在的线粒体呼吸链介导的神经毒性,特别是通过抑制复合物 I 或 III。将线粒体呼吸链复合物 I 的抑制与多巴胺能神经元的退化联系起来的 AOP 为这两个案例提供了基础,但在两个不同的监管背景下进行了部署。这两个案例还体现了几种不同的阅读交叉概念:类似物与类别方法、综合与假定的 AOP、阳性与阴性预测(即神经毒性与低神经毒性潜力)以及结构与生物相似性。我们应用了一系列 NAMs 来探索化合物的毒代动力学特性,例如,基于计算机的对接以及在各种细胞系统中的体外测定和读出——包括转录组学——所有这些都基于相关的 AOP。有趣的是,尽管某些阅读交叉的某些元素的数据存在高度不确定性,但它们对整体阅读交叉结论的影响仍然有限。结合这两个案例所经历的精心监管审查,我们提出了一些基于 AOP 的测试策略支持阅读交叉的一般经验教训。

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