Division of Toxicology, Wageningen University and Research, Stippeneng 4, Wageningen 6708 WE, The Netherlands.
Environ Sci Technol. 2023 Dec 12;57(49):20521-20531. doi: 10.1021/acs.est.3c07077. Epub 2023 Nov 26.
Worldwide use of organophosphate pesticides as agricultural chemicals aims to maintain a stable food supply, while their toxicity remains a major public health concern. A common mechanism of acute neurotoxicity following organophosphate pesticide exposure is the inhibition of acetylcholinesterase (AChE). To support Next Generation Risk Assessment for public health upon acute neurotoxicity induced by organophosphate pesticides, physiologically based kinetic (PBK) modeling-facilitated quantitative to extrapolation (QIVIVE) approach was employed in this study, with fenitrothion (FNT) as an exemplary organophosphate pesticide. Rat and human PBK models were parametrized with data derived from predictions and incubations. Then, PBK model-based QIVIVE was performed to convert species-specific concentration-dependent AChE inhibition obtained from blood assays to corresponding dose-response curves, from which points of departure (PODs) were derived. The obtained values for rats and humans were comparable with reported no-observed-adverse-effect levels (NOAELs). Humans were found to be more susceptible than rats toward erythrocyte AChE inhibition induced by acute FNT exposure due to interspecies differences in toxicokinetics and toxicodynamics. The described approach adequately predicts toxicokinetics and acute toxicity of FNT, providing a proof-of-principle for applying this approach in a 3R-based chemical risk assessment paradigm.
全世界使用有机磷农药作为农用化学品,旨在维持稳定的粮食供应,而其毒性仍然是一个主要的公共卫生关注点。有机磷农药暴露后急性神经毒性的常见机制是乙酰胆碱酯酶(AChE)的抑制。为了支持基于生理学的毒代动力学(PBK)建模的下一代风险评估,在本研究中采用了定量向种间外推(QIVIVE)方法,以毒扁豆碱(FNT)作为典型的有机磷农药。使用从预测和孵育中得出的数据对大鼠和人体 PBK 模型进行了参数化。然后,进行基于 PBK 模型的 QIVIVE,将从血液分析中获得的、与物种特异性浓度相关的 AChE 抑制转化为相应的剂量-反应曲线,从中得出起始点(POD)。从获得的大鼠和人类数值与报告的无明显不良影响水平(NOAEL)相当。由于毒代动力学和毒效动力学的种间差异,人类对急性 FNT 暴露引起的红细胞 AChE 抑制比大鼠更敏感。所描述的方法可以充分预测 FNT 的毒代动力学和急性毒性,为在基于 3R 的化学风险评估范例中应用这种方法提供了原理证明。