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利用离体人胎盘灌注研究和基于生理学的模型预测人类胎儿药代动力学。

Prediction of human fetal pharmacokinetics using ex vivo human placenta perfusion studies and physiologically based models.

作者信息

De Sousa Mendes Maïlys, Hirt Deborah, Vinot Cécile, Valade Elodie, Lui Gabrielle, Pressiat Claire, Bouazza Naïm, Foissac Frantz, Blanche Stephane, Lê Minh Patrick, Peytavin Gilles, Treluyer Jean-Marc, Urien Saik, Benaboud Sihem

机构信息

EA08: Evaluation des thérapeutiques et pharmacologie périnatale et pédiatrique, Unité de Recherche Clinique Paris Centre, 75006, Paris, France.

Service de Pharmacologie Clinique, AP-HP, Hôpital Cochin-Broca-Hôtel-Dieu-Dieu, 75014, Paris, France.

出版信息

Br J Clin Pharmacol. 2016 Apr;81(4):646-57. doi: 10.1111/bcp.12815. Epub 2016 Jan 12.

Abstract

AIMS

Pregnant women can be exposed to numerous drugs during the gestational period. For obvious ethical reasons, in vivo studies of fetal exposure to drugs are limited. Information about the transplacental transfer of drugs prior to their administration to pregnant women would be highly useful. In the present study, a novel approach was developed quantitatively predict or to predict the fetal exposure to drugs administered to the mother quantitatively.

METHODS

Transplacental parameters estimated from ex vivo human placenta perfusion experiments were implemented in pregnancy-physiologically based pharmacokinetic (p-PBPK) models in order to predict fetal PK. Thereafter, fetal PK profiles for two antiretroviral drugs, tenofovir (TFV) and emtricitabine (FTC) were simulated. These predictions were then compared to observed cord blood concentrations, to validate these models.

RESULTS

Parameters obtained from the ex vivo experiments enabled a good prediction of observed cord blood concentrations without additional a scaling factor. Moreover, a sensitivity analysis showed that fetal predictions were sensitive to changes in transplacental parameters values obtained ex vivo.

CONCLUSION

The integration of ex vivo human placental perfusion parameters in a p-PBPK model should be a promising new approach for predicting human fetal exposure to xenobiotics.

摘要

目的

孕期女性可能会接触多种药物。出于明显的伦理原因,关于胎儿药物暴露的体内研究有限。在给孕妇用药之前,获取有关药物经胎盘转运的信息将非常有用。在本研究中,开发了一种新方法来定量预测母亲用药后胎儿的药物暴露情况。

方法

将从离体人胎盘灌注实验估计得到的经胎盘参数应用于基于妊娠生理的药代动力学(p-PBPK)模型,以预测胎儿的药代动力学。此后,模拟了两种抗逆转录病毒药物替诺福韦(TFV)和恩曲他滨(FTC)的胎儿药代动力学曲线。然后将这些预测结果与观察到的脐血浓度进行比较,以验证这些模型。

结果

从离体实验获得的参数无需额外的比例因子就能很好地预测观察到的脐血浓度。此外,敏感性分析表明,胎儿预测结果对离体获得的经胎盘参数值的变化敏感。

结论

将离体人胎盘灌注参数整合到p-PBPK模型中应该是预测人类胎儿外源化学物暴露的一种有前景的新方法。

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