研究基于生理学的完全机械化药代动力学吸收模型,以支持母乳喂养妇女乳汁浓度的预测和婴儿的暴露:阿苯达唑案例研究。

IF 3.1 3区 医学 Q2 PHARMACOLOGY & PHARMACY
Susan Cole, Maria Malamatari, Andrew Butler, Mahnoor Arshad, Essam Kerwash
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引用次数: 0

摘要

由于非临床和临床数据有限,欧洲指南建议在服用阿苯达唑时停止母乳喂养。本研究旨在考虑使用 PBPK 模型来支持母乳喂养婴儿的预期暴露量。该研究采用完全机械的 PBPK 方法,对哺乳期妇女血浆和母乳中的阿苯达唑及其主要活性代谢物阿苯达唑亚砜的浓度进行了定量预测。该模型预测了成人的暴露量和较大的食物效应,但无法预测儿童暴露量的所有临床数据。对这种亲脂性化合物的乳汁/血浆比率预测也大多过高,但对亲脂性较低的代谢物则没有过高预测。使用观察到的比率和基于 Cmax 预测的较差情况暴露量进行预测,表明儿童通过牛奶摄入的剂量较低。不过,在预测母乳喂养婴儿的全部暴露量之前,还需要更多的临床数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Investigation of a fully mechanistic physiologically based pharmacokinetics model of absorption to support predictions of milk concentrations in breastfeeding women and the exposure of infants: A case study for albendazole

Investigation of a fully mechanistic physiologically based pharmacokinetics model of absorption to support predictions of milk concentrations in breastfeeding women and the exposure of infants: A case study for albendazole

Due to limited non-clinical and clinical data, European guidance recommends to discontinue breastfeeding when taking albendazole. The aim of this study was to consider the use of PBPK modeling to support the expected exposure in breastfed infants. A fully mechanistic PBPK approach was used to provide quantitative predictions of albendazole and its main active metabolite, albendazole sulfoxide, concentrations in plasma and breast milk of lactating women. The model predicted the exposure in adults and the large food effect, however, it does not predict all the clinical data for the exposure in children. Milk/plasma ratio predictions were also largely over-predicted for this lipophilic compound, but not for the less lipophilic metabolite. Predictions using the observed ratio and a worse-case exposure based on Cmax predictions, suggest doses to children through milk will be low. However, more clinical data are required before full exposure predictions can be made to breastfed infants.

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来源期刊
CiteScore
5.00
自引率
11.40%
发文量
146
审稿时长
8 weeks
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