Abdullah Rozaini, Alhusainy Wasma, Woutersen Jasper, Rietjens Ivonne M C M, Punt Ans
Division of Toxicology, Wageningen University, Tuinlaan 5, 6703 HE Wageningen, The Netherlands; Department of Environmental & Occupational Health, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, 43400, UPM Serdang, Selangor, Malaysia.
Division of Toxicology, Wageningen University, Tuinlaan 5, 6703 HE Wageningen, The Netherlands.
Food Chem Toxicol. 2016 Jun;92:104-16. doi: 10.1016/j.fct.2016.03.017. Epub 2016 Mar 23.
Aristolochic acids are naturally occurring nephrotoxins. This study aims to investigate whether physiologically based kinetic (PBK) model-based reverse dosimetry could convert in vitro concentration-response curves of aristolochic acid I (AAI) to in vivo dose response-curves for nephrotoxicity in rat, mouse and human. To achieve this extrapolation, PBK models were developed for AAI in these different species. Subsequently, concentration-response curves obtained from in vitro cytotoxicity models were translated to in vivo dose-response curves using PBK model-based reverse dosimetry. From the predicted in vivo dose-response curves, points of departure (PODs) for risk assessment could be derived. The PBK models elucidated species differences in the kinetics of AAI with the overall catalytic efficiency for metabolic conversion of AAI to aristolochic acid Ia (AAIa) being 2-fold higher for rat and 64-fold higher for mouse than human. Results show that the predicted PODs generally fall within the range of PODs derived from the available in vivo studies. This study provides proof of principle for a new method to predict a POD for in vivo nephrotoxicity by integrating in vitro toxicity testing with in silico PBK model-based reverse dosimetry.
马兜铃酸是天然存在的肾毒素。本研究旨在探讨基于生理药代动力学(PBK)模型的反向剂量测定法是否能够将马兜铃酸I(AAI)的体外浓度-反应曲线转化为大鼠、小鼠和人类体内肾毒性的剂量-反应曲线。为实现这种外推,针对不同物种建立了AAI的PBK模型。随后,使用基于PBK模型的反向剂量测定法将体外细胞毒性模型获得的浓度-反应曲线转化为体内剂量-反应曲线。从预测的体内剂量-反应曲线中,可以得出风险评估的起始点(POD)。PBK模型阐明了AAI动力学的物种差异,AAI代谢转化为马兜铃酸Ia(AAIa)的总体催化效率,大鼠比人类高2倍,小鼠比人类高64倍。结果表明,预测的POD通常落在现有体内研究得出的POD范围内。本研究为通过将体外毒性测试与基于计算机模拟PBK模型的反向剂量测定法相结合来预测体内肾毒性POD的新方法提供了原理证明。