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应用生理基于生物药剂学模型理解溶出差异对即释产品体内性能的影响:以比索洛尔为例。

Application of physiologically based biopharmaceutics modeling to understand the impact of dissolution differences on in vivo performance of immediate release products: The case of bisoprolol.

机构信息

Simulations Plus, Inc, Lancaster, California, USA.

Quantitative Pharmacology, Merck KGaA, Darmstadt, Germany.

出版信息

CPT Pharmacometrics Syst Pharmacol. 2021 Jun;10(6):622-632. doi: 10.1002/psp4.12634. Epub 2021 Jun 3.

Abstract

Merck KGaA observed slight differences in the dissolution of Concor (bisoprolol) batches over the years. The purpose of this work was to assess the impact of in vitro dissolution on the simulated pharmacokinetics of bisoprolol using in vitro-in vivo relationship established with available in vitro dissolution and corresponding plasma concentrations-time data for several bisoprolol batches. A mechanistic absorption model/physiologically based pharmacokinetics model linked with a biopharmaceutics tool such as dissolution testing, namely, physiologically based biopharmaceutics modeling (PBBM), can be valuable in determining a dissolution "safe space." A PBBM for bisoprolol was built using in vitro, in silico, and clinical data. We evaluated potential influences of variability in dissolution of bisoprolol batches on its clinical performance through PBBM and virtual bioequivalence (BE) trials. We demonstrated that in vitro dissolution was not critical for the clinical performance of bisoprolol over a wide range of tested values. Based on virtual BE trials, safe space expansion was explored using hypothetical dissolution data. A formulation with in vitro dissolution reaching 70% dissolved in 15 min and 79.5% in 30 min was shown to be BE to classical fast dissolution of bisoprolol (>85% within 15 min), as point estimates and 90% confidence intervals of the maximum plasma concentration and area under the concentration-time curve were within the BE limits (0.8-1.25).

摘要

默克公司观察到多年来康可(比索洛尔)批次的溶解情况略有差异。这项工作的目的是评估体外溶出度对建立了体外-体内相关性的比索洛尔模拟药代动力学的影响,该相关性利用了几个比索洛尔批次的现有体外溶出度和相应的血浆浓度-时间数据。一个与生物药剂学工具(如溶出度测试)相关联的机制吸收模型/基于生理学的药代动力学模型,如基于生理学的生物药剂学建模(PBBM),可以在确定溶出度“安全空间”方面具有价值。使用体外、计算机模拟和临床数据构建了比索洛尔的 PBBM。我们通过 PBBM 和虚拟生物等效性(BE)试验评估了比索洛尔批次的溶出度变异性对其临床性能的潜在影响。我们证明,在广泛的测试值范围内,体外溶出度对比索洛尔的临床性能并不关键。基于虚拟 BE 试验,使用假设的溶出度数据探索了安全空间的扩展。具有在 15 分钟内溶解 70%和 30 分钟内溶解 79.5%的体外溶出度的制剂被证明与比索洛尔的经典快速溶出度(15 分钟内>85%)等效,因为最大血浆浓度和浓度-时间曲线下面积的点估计值和 90%置信区间都在 BE 范围内(0.8-1.25)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c30a/8213417/86eab4dce676/PSP4-10-622-g004.jpg

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