Division of Pharmacology, Utrecht University, Utrecht Institute for Pharmaceutical Sciences, Utrecht, The Netherlands.
School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Liverpool, UK.
Arch Toxicol. 2024 Mar;98(3):929-942. doi: 10.1007/s00204-023-03637-7. Epub 2024 Jan 10.
Adverse outcome pathways (AOPs) were introduced in modern toxicology to provide evidence-based representations of the events and processes involved in the progression of toxicological effects across varying levels of the biological organisation to better facilitate the safety assessment of chemicals. AOPs offer an opportunity to address knowledge gaps and help to identify novel therapeutic targets. They also aid in the selection and development of existing and new in vitro and in silico test methods for hazard identification and risk assessment of chemical compounds. However, many toxicological processes are too intricate to be captured in a single, linear AOP. As a result, AOP networks have been developed to aid in the comprehension and placement of associated events underlying the emergence of related forms of toxicity-where complex exposure scenarios and interactions may influence the ultimate adverse outcome. This study utilised established criteria to develop an AOP network that connects thirteen individual AOPs associated with nephrotoxicity (as sourced from the AOP-Wiki) to identify several key events (KEs) linked to various adverse outcomes, including kidney failure and chronic kidney disease. Analysis of the modelled AOP network and its topological features determined mitochondrial dysfunction, oxidative stress, and tubular necrosis to be the most connected and central KEs. These KEs can provide a logical foundation for guiding the selection and creation of in vitro assays and in silico tools to substitute for animal-based in vivo experiments in the prediction and assessment of chemical-induced nephrotoxicity in human health.
译文:
不良结局途径(AOP)在现代毒理学中被引入,以提供基于证据的毒理学效应在不同生物组织水平上进展所涉及的事件和过程的表示,以更好地促进化学物质的安全性评估。AOP 提供了一个解决知识空白和帮助确定新的治疗靶点的机会。它们还有助于选择和开发现有的和新的体外和计算测试方法,用于危害识别和化学化合物的风险评估。然而,许多毒理学过程过于复杂,无法用单一的、线性的 AOP 来捕捉。因此,已经开发了 AOP 网络来帮助理解和放置与相关毒性形式出现相关的相关事件-在复杂的暴露情况和相互作用可能影响最终不良后果的情况下。本研究利用既定标准来开发一个 AOP 网络,将与肾毒性相关的 13 个单独的 AOP(源自 AOP-Wiki)连接起来,以确定与各种不良结局相关的几个关键事件(KEs),包括肾衰竭和慢性肾病。对模型化的 AOP 网络及其拓扑特征的分析确定线粒体功能障碍、氧化应激和肾小管坏死是最相关和最核心的 KEs。这些 KEs 可以为指导选择和创建体外测定和计算工具提供逻辑基础,以替代基于动物的体内实验,用于预测和评估化学物质引起的人类健康肾毒性。