Species specific kinetics of imidacloprid and carbendazim in mouse and rat and consequences for biomonitoring

IF 3.1 Q2 TOXICOLOGY Computational Toxicology Pub Date : 2024-10-18 DOI:10.1016/j.comtox.2024.100334
Bohan Hu, Ivonne M.C.M. Rietjens, Bert Spenkelink, Nico W. van den Brink
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Abstract

This study aimed to develop physiologically based kinetic (PBK) models to predict the blood concentrations of imidacloprid and carbendazim and their primary metabolites 5-hydroxy-imidacloprid and 2-aminobenzimidazole after single or repeated oral exposure in mouse (Mus musculus), and compare this to corresponding kinetic data in rat (Rattus norvegicus). PBK model constants for conversion of imidacloprid and carbendazim and formation and clearance of their selected primary metabolites were quantified by in vitro mouse liver microsomal and S9 incubations. The performance of the newly developed PBK models was evaluated, based on a comparison to available literature data, showing that the models performed well. Predictions made were also compared to results from PBK model simulations for rats reported previously to obtain insight in species dependent differences in kinetics of these pesticides. The results thus obtained revealed substantial species differences in kinetics for these two pesticides between mouse and rat, especially for imidacloprid and to a lesser extent for carbendazim. Repeated dose PBK model simulations revealed that the models can facilitate estimation of external exposure levels under wildlife conditions based on internal blood concentrations of the parent compound. The rate of conversion and liver volume fraction were shown to influence the accuracy of these predictions with lower values providing less variable outcomes. It is concluded that PBK modeling provides a new approach methodology of use for wildlife biomonitoring studies and that results of the present study facilitate benchmarking of the species and compounds for which kinetics enable this with sufficient accuracy.
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吡虫啉和多菌灵在小鼠和大鼠体内的物种特异性动力学及其对生物监测的影响
本研究旨在建立基于生理学的动力学(PBK)模型,以预测小鼠(Mus musculus)单次或多次口服吡虫啉和多菌灵及其主要代谢物 5-hydroxy-imidacloprid 和 2-aminobenzimidazole 后的血药浓度,并将其与大鼠(Rattus norvegicus)的相应动力学数据进行比较。通过体外小鼠肝脏微粒体和 S9 培养,对吡虫啉和多菌灵的转化及其选定初级代谢物的形成和清除的 PBK 模型常数进行了量化。根据与现有文献数据的比较,对新开发的 PBK 模型的性能进行了评估,结果表明这些模型性能良好。此外,还将预测结果与之前报告的大鼠 PBK 模型模拟结果进行了比较,以深入了解这些农药在动力学方面的物种差异。由此得出的结果表明,这两种农药的动力学在小鼠和大鼠之间存在很大的物种差异,尤其是吡虫啉,多菌灵的差异较小。重复剂量 PBK 模型模拟显示,这些模型有助于根据母体化合物的体内血液浓度估算野生动物条件下的外部暴露水平。结果表明,转化率和肝脏体积分数会影响这些预测的准确性,数值越低,结果的可变性越小。结论是,PBK 模型为野生动物生物监测研究提供了一种新的方法,本研究的结果有助于确定物种和化合物的基准,而动力学可以充分准确地实现这一点。
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来源期刊
Computational Toxicology
Computational Toxicology Computer Science-Computer Science Applications
CiteScore
5.50
自引率
0.00%
发文量
53
审稿时长
56 days
期刊介绍: Computational Toxicology is an international journal publishing computational approaches that assist in the toxicological evaluation of new and existing chemical substances assisting in their safety assessment. -All effects relating to human health and environmental toxicity and fate -Prediction of toxicity, metabolism, fate and physico-chemical properties -The development of models from read-across, (Q)SARs, PBPK, QIVIVE, Multi-Scale Models -Big Data in toxicology: integration, management, analysis -Implementation of models through AOPs, IATA, TTC -Regulatory acceptance of models: evaluation, verification and validation -From metals, to small organic molecules to nanoparticles -Pharmaceuticals, pesticides, foods, cosmetics, fine chemicals -Bringing together the views of industry, regulators, academia, NGOs
期刊最新文献
Reconstruction of exposure to volatile organic compounds from venous blood concentration and an uncertain physiologically-based pharmacokinetic model Developing quantitative Adverse Outcome Pathways: An ordinary differential equation-based computational framework Quantitative prediction of hemolytic activity of peptides Species specific kinetics of imidacloprid and carbendazim in mouse and rat and consequences for biomonitoring In silico analysis of the melamine structural analogues interaction with calcium-sensing receptor: A potential for nephrotoxicity
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