School of Environmental Engineering, University of Seoul, Dongdaemun-gu, Seoul, Republic of Korea.
School of Environmental Engineering, University of Seoul, Dongdaemun-gu, Seoul, Republic of Korea.
Regul Toxicol Pharmacol. 2023 Jun;141:105391. doi: 10.1016/j.yrtph.2023.105391. Epub 2023 Apr 15.
An adverse outcome pathway (AOP) framework can facilitate the use of alternative assays in chemical regulations by providing scientific evidence. Previously, an AOP, peroxisome proliferative-activating receptor gamma (PPARγ) antagonism that leads to pulmonary fibrosis, was developed. Based on a literature search, PPARγ inactivation has been proposed as a molecular initiating event (MIE). In addition, a list of candidate chemicals that could be used in the experimental validation was proposed using toxicity database and deep learning models. In this study, the screening of environmental chemicals for MIE was conducted using in silico and in vitro tests to maximize the applicability of this AOP for screening inhalation toxicants. Initially, potential inhalation exposure chemicals that are active in three or more key events were selected, and in silico molecular docking was performed. Among the chemicals with low binding energy to PPARγ, nine chemicals were selected for validation of the AOP using in vitro PPARγ activity assay. As a result, rotenone, triorthocresyl phosphate, and castor oil were proposed as PPARγ antagonists and stressor chemicals of the AOP. Overall, the proposed tiered approach of the database-in silico-in vitro can help identify the regulatory applicability and assist in the development and experimental validation of AOP.
一个不利结局途径(AOP)框架可以通过提供科学证据来促进替代检测方法在化学法规中的应用。之前已经开发了一个 AOP,即过氧化物酶体增殖物激活受体γ(PPARγ)拮抗作用导致的肺纤维化。基于文献检索,PPARγ失活被提出作为分子起始事件(MIE)。此外,还使用毒性数据库和深度学习模型提出了一份可用于实验验证的候选化学物质清单。在这项研究中,使用计算机模拟和体外试验对环境化学物质进行了 MIE 的筛选,以最大限度地提高该 AOP 对筛选吸入性毒物的适用性。最初,选择了在三个或更多关键事件中活跃的潜在吸入暴露化学物质,并进行了计算机分子对接。在与 PPARγ 结合能低的化学物质中,选择了九种化学物质用于体外 PPARγ 活性测定验证 AOP。结果表明,鱼藤酮、三邻甲苯基磷酸酯和蓖麻油是该 AOP 的 PPARγ 拮抗剂和应激化学物质。总的来说,数据库-计算机模拟-体外的分层方法有助于确定监管适用性,并有助于 AOP 的开发和实验验证。