Research Group of Analytical Chemistry, Applied Chemometrics and Molecular Modeling, Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090, Brussels, Belgium.
Research Group of Pharmaceutical Chemistry, Drug Analysis and Drug Information, Center for Neurosciences, Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090, Brussels, Belgium.
Arch Toxicol. 2022 Nov;96(11):2881-2897. doi: 10.1007/s00204-022-03351-w. Epub 2022 Aug 4.
Adverse outcome pathways (AOPs), introduced in modern toxicology, intend to provide an evidence-based representation of toxicological effects and facilitate safety assessment of chemicals not solely based on laboratory animal in vivo experiments. However, some toxicological processes are too complicated to represent in one AOP. Therefore, AOP networks are developed that help understanding and predicting toxicological processes where complex exposure scenarios interact and lead to the emergence of the adverse outcome. In this study, we present an AOP network for breast cancer, developed after an in-depth survey of relevant scientific literature. Several molecular initiating events (MIE) were identified and various key events that link the MIEs with breast cancer were described. The AOP was developed according to Organization of Economic Co-Operation and Development (OECD) guidance, weight of evidence was assessed through the Bradford Hill criteria and confidence was tested by the OECD key questions. The AOP network provides a straightforward understanding of the disease onset and progression at different biological levels. It can be used to pinpoint knowledge gaps, identify novel therapeutic targets and act as a stepping stone for the development of novel in vitro test methods for hazard identification and risk assessment of newly developed chemicals and drugs.
译文: 不良结局途径(AOPs)是现代毒理学中的一个概念,旨在提供基于证据的毒理学效应描述,并促进化学品的安全性评估,而不仅仅依赖于实验室动物的体内实验。然而,一些毒理学过程过于复杂,无法用一个 AOP 来表示。因此,开发了 AOP 网络,以帮助理解和预测在复杂暴露场景下相互作用并导致不良结局出现的毒理学过程。在这项研究中,我们根据相关科学文献的深入调查,提出了一个用于乳腺癌的 AOP 网络。确定了几个分子起始事件(MIE),并描述了将 MIE 与乳腺癌联系起来的各种关键事件。该 AOP 是根据经济合作与发展组织(OECD)的指导方针开发的,通过 Bradford Hill 标准评估了证据权重,并通过 OECD 关键问题测试了置信度。该 AOP 网络提供了对不同生物学水平下疾病发生和进展的直观理解。它可用于发现知识空白、确定新的治疗靶点,并作为开发新的体外测试方法的垫脚石,用于新开发的化学品和药物的危害识别和风险评估。