Laboratory of Toxicology, Unit of Environment and Health, Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium.
Institute for Medical Research and Occupational Health, Zagreb, Croatia.
ALTEX. 2021;38(4):580-594. doi: 10.14573/altex.2102191. Epub 2021 May 17.
Manufactured nanomaterials (NMs) are increasingly used in a wide range of industrial applications leading to a constant increase in the market size of nano-enabled products. The increased production and use of NMs are raising concerns among different stakeholder groups with regard to their effects on human and environmental health. Currently, nanosafety hazard assessment is still widely performed using in vivo (animal) models, however the development of robust and regulatory relevant strategies is required to prioritize and/or reduce animal testing. An adverse outcome pathway (AOP) is a structured representation of biological events that start from a molecular initiating event (MIE) leading to an adverse outcome (AO) through a series of key events (KEs). The AOP framework offers great advancement to risk assessment and regulatory safety assessments. While AOPs for chemicals have been more frequently reported, the AOP collection for NMs is limited. By using existing AOPs, we aimed to generate simple and testable strategies to predict if a given NM has the potential to induce a MIE leading to an AO through a series of KEs. Firstly, we identified potential MIEs or initial KEs reported for NMs in the literature. Then, we searched the identified MIE or initial KEs as keywords in the AOP-Wiki to find associated AOPs. Finally, using two case studies, we demonstrate how in vitro strategies can be used to test the identified MIE/KEs.
人工合成纳米材料(NMs)在广泛的工业应用中越来越多地被使用,导致纳米增强产品的市场规模不断扩大。NMs 的大量生产和使用引起了不同利益相关群体对其对人类和环境健康影响的关注。目前,纳米安全性危害评估仍然广泛采用体内(动物)模型进行,然而需要开发稳健且与监管相关的策略,以优先考虑和/或减少动物测试。不良结局途径(AOP)是对生物事件的结构化表示,这些事件从分子起始事件(MIE)开始,通过一系列关键事件(KEs)导致不良结局(AO)。AOP 框架为风险评估和监管安全评估提供了重大进展。虽然化学物质的 AOP 报告更为频繁,但纳米材料的 AOP 集合有限。通过使用现有的 AOP,我们旨在生成简单且可测试的策略,以预测给定的 NM 是否有可能通过一系列 KEs 引发导致 AO 的 MIE。首先,我们在文献中确定了 NM 报道的潜在 MIE 或初始 KEs。然后,我们将确定的 MIE 或初始 KEs 作为关键词在 AOP-Wiki 中进行搜索,以找到相关的 AOP。最后,通过两个案例研究,我们展示了如何使用体外策略来测试已识别的 MIE/KEs。
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