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基于生理的3-氯-1,2-丙二醇和缩水甘油醛毒代动力学模型的开发。

Development of physiologically based toxicokinetic models for 3-monochloropropane-1,2-diol and glycidol.

作者信息

Jia Wei, Jiang Jiahao, Ke Xing, Zhang Lange, Li Yaoran, Wan Xuzhi, Jiao Jingjing, Zhang Yu

机构信息

National Engineering Laboratory of Intelligent Food Technology and Equipment, Zhejiang Key Laboratory for Agro-Food Processing, Zhejiang University, Hangzhou, 310058, China.

Key Laboratory of Drug Prevention and Control Technology of Zhejiang Province, Department of Criminal Science and Technology, Zhejiang Police College, Hangzhou, 310053, Zhejiang, China.

出版信息

Food Chem Toxicol. 2023 Feb;172:113555. doi: 10.1016/j.fct.2022.113555. Epub 2022 Dec 7.

Abstract

3-Monochloropropane-1,2-diol (3-MCPD), glycidol, together with their fatty acid esters are commonly presented in various food and have shown carcinogenicity in various laboratory animals. Public health risk assessment of 3-MPCD and glycidol exposure relies on quantitative tools that represent their in vivo toxicokinetics. In order to better understand the absorption, distribution, metabolism, and excretion profiles of 3-MCPD and glycidol in male rats, a physiologically based pharmacokinetic (PBTK) model was developed. The model's predictive power was evaluated by comparing in silico simulations to in vivo time course data obtained from experimental studies. Results indicate that our PBTK model successfully captured the toxicokinetics of both free chemicals in key organs, and their metabolites in accessible biological fluids. With the validated PBTK model, we then gave an animal-free example on how to extrapolate the toxicological knowledge acquired from a single gavage to a realistic dietary intake scenario. Three biomarkers, free compound in serum, urinary metabolite DHPMA, and glycidol-hemoglobin adduct (diHOPrVal) were selected for in silico simulation following constant dietary intakes, and their internal levels were correlated with proposed external daily exposure via reverse dosimetry approaches. Taken together, our model provides a computational approach for extrapolating animal toxicokinetic experiments to biomonitoring measurement and risk assessment.

摘要

3-一氯丙烷-1,2-二醇(3-MCPD)、缩水甘油及其脂肪酸酯通常存在于各类食品中,并已在多种实验动物中显示出致癌性。对3-MPCD和缩水甘油暴露的公共卫生风险评估依赖于能够反映其体内毒代动力学的定量工具。为了更好地了解3-MCPD和缩水甘油在雄性大鼠体内的吸收、分布、代谢和排泄情况,建立了一个基于生理的药代动力学(PBTK)模型。通过将计算机模拟结果与从实验研究中获得的体内时间进程数据进行比较,对该模型的预测能力进行了评估。结果表明,我们的PBTK模型成功捕捉到了关键器官中游离化学物质及其在可获取生物体液中代谢物的毒代动力学情况。利用经过验证的PBTK模型,我们随后给出了一个无需动物实验的示例,展示了如何将从单次灌胃获得的毒理学知识外推到实际饮食摄入情况。在持续饮食摄入后,选择了三种生物标志物,即血清中的游离化合物、尿液代谢物DHPMA和缩水甘油-血红蛋白加合物(二氢氧丙基缬氨酸)进行计算机模拟,并通过反向剂量测定法将它们的体内水平与建议的每日外部暴露量相关联。综上所述,我们的模型提供了一种计算方法,可将动物毒代动力学实验外推至生物监测测量和风险评估。

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