一致性
背景(考古学)
风险评估
行动方式
芳香烃受体
神经毒性
置信区间
不利影响
药理学
医学
毒理
环境卫生
生物
毒性
内科学
计算机科学
遗传学
古生物学
计算机安全
转录因子
基因
作者
Hehai Huang,Yanrong Lv,Qingfei Chen,Xiaowei Huang,Jingyao Qin,Yan Liu,Qilong Liao,Xiumei Xing,Liping Chen,Qing Liu,Shuangqi Li,Zihao Long,Qing Wang,Wen Chen,Qing Wei,Mengjun Hou,Qiansheng Hu,Yongmei Xiao
标识
DOI:10.1016/j.envres.2024.118708
摘要
The mode of action (MOA) framework is proposed to inform a biological link between chemical exposures and adverse health effects. Despite a significant increase in knowledge and awareness, the application of MOA in human health risk assessment (RA) remains limited. This study aims to discuss the adoption of MOA for health RA within a regulatory context, taking our previously proposed but not yet validated MOA for lead neurotoxicity as an example. We first conducted a quantitative weight of evidence (qWOE) assessment, which revealed that the MOA has a moderate confidence. Then, targeted bioassays were performed within an in vitro blood-brain barrier (BBB) model to quantitatively validate the scientific validity of key events (KEs) in terms of essentiality and concordance of empirical support (dose/temporal concordance), which increases confidence in utilizing the MOA for RA. Building upon the quantitative validation data, we further conducted benchmark dose (BMD) analysis to map dose-response relationships for the critical toxicity pathways, and the lower limit of BMD at a 5% response (BMDL5) was identified as the point of departure (POD) value for adverse health effects. Notably, perturbation of the Aryl Hydrocarbon Receptor (AHR) signaling pathway exhibited the lowest POD value, measured at 0.0062 μM. Considering bioavailability, we further calculated a provisional health-based guidance value (HBGV) for children's lead intake, determining it to be 2.56 μg/day. Finally, the health risk associated with the HBGV was assessed using the hazard quotient (HQ) approach, which indicated that the HBGV established in this study is a relative safe reference value for lead intake. In summary, our study described the procedure for utilizing MOA in health RA and set an example for MOA-based human health risk regulation.
科研通智能强力驱动
Strongly Powered by AbleSci AI