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孕妇药代动力学最小生理混合模型:在产前皮质激素中的应用。

Minimal physiologically-based hybrid model of pharmacokinetics in pregnant women: Application to antenatal corticosteroids.

机构信息

School of Pharmacy and Pharmaceutical Sciences, State University of New York, University of Buffalo, Buffalo, New York, USA.

Milad Pharmaceutical Consulting LLC, Plymouth, Michigan, USA.

出版信息

CPT Pharmacometrics Syst Pharmacol. 2023 May;12(5):668-680. doi: 10.1002/psp4.12899. Epub 2023 Mar 14.

Abstract

Minimal physiologically-based pharmacokinetic (mPBPK) models are an alternative to full physiologically-based pharmacokinetic (PBPK) models as they offer reduced complexity while maintaining the physiological interpretation of key model components. Full PBPK models have been developed for pregnancy, but a mPBPK model eases the ability to perform a "top-down" meta-analysis melding all available pharmacokinetic (PK) data in the mother and fetus. Our hybrid mPBPK model consists of mPBPK models for the mother and fetus with connection by the placenta. This model was applied to describe the rich PK data of antenatal corticosteroid betamethasone (BET) jointly with the limited data for dexamethasone (DEX) in the mother and fetus. Physiologic model parameters were obtained from the literature while drug-dependent parameters were estimated by the simultaneous fitting of all available data for DEX and BET. Maternal clearances of DEX and BET confirmed the literature values, and the expected fetal-to-maternal plasma ratios ranged from 0.3 to 0.4 for both drugs. Simulations of maternal plasma concentrations for the dosing regimens of BET and DEX recommended by the World Health Organization based on our findings revealed up to 60% lower exposures than found in nonpregnant women and offers a means of devising alternative dosing regimens. Our hybrid mPBPK model and meta-analysis approach could facilitate assessment of other classes of drugs indicated for the treatment of pregnant women.

摘要

简化生理药代动力学(mPBPK)模型是全生理药代动力学(PBPK)模型的替代方法,因为它们提供了降低的复杂性,同时保持了关键模型组件的生理解释。已经为妊娠开发了完整的 PBPK 模型,但 mPBPK 模型可以更容易地进行“自上而下”的荟萃分析,融合母亲和胎儿中所有可用的药代动力学(PK)数据。我们的混合 mPBPK 模型由母亲和胎儿的 mPBPK 模型组成,通过胎盘连接。该模型用于描述产前皮质类固醇倍他米松(BET)的丰富 PK 数据,同时结合母亲和胎儿中地塞米松(DEX)的有限数据。生理模型参数从文献中获得,而药物依赖性参数则通过同时拟合 DEX 和 BET 的所有可用数据来估计。DEX 和 BET 的母体清除率证实了文献值,两种药物的预期胎儿与母体血浆比从 0.3 到 0.4 不等。根据我们的发现,对世界卫生组织推荐的 BET 和 DEX 给药方案的母体血浆浓度进行模拟表明,暴露量比未怀孕女性低 60%,这为设计替代给药方案提供了一种方法。我们的混合 mPBPK 模型和荟萃分析方法可以促进评估其他类别的药物,这些药物被指示用于治疗孕妇。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a63/10196440/715ec842164e/PSP4-12-668-g003.jpg

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