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利用尿药代动力学数据建立氯化钾缓释片体外-体内相关性

Development of In Vitro-In Vivo Correlation for Potassium Chloride Extended Release Tablet Formulation Using Urinary Pharmacokinetic Data.

作者信息

Mittapalli Rajendar K, Marroum Patrick, Qiu Yihong, Apfelbaum Kathleen, Xiong Hao

机构信息

Clinical Pharmacology and Pharmacometrics, AbbVie Inc., 1 North Waukegan Road, North Chicago, Illinois, 60064, USA.

Drug products, Operations Science and Technology, AbbVie Inc., North Chicago, Illinois, USA.

出版信息

Pharm Res. 2017 Jul;34(7):1527-1533. doi: 10.1007/s11095-017-2179-2. Epub 2017 May 16.

Abstract

PURPOSE

To develop and validate a Level A in vitro-in vivo correlation (IVIVC) for potassium chloride extended-release (ER) formulations.

METHODS

Three prototype ER formulations of potassium chloride with different in vitro release rates were developed and their urinary pharmacokinetic profiles were evaluated in healthy subjects. A mathematical model between in vitro dissolution and in vivo urinary excretion, a surrogate for measuring in vivo absorption, was developed using time-scale and time-shift parameters. The IVIVC model was then validated based on internal and external predictability.

RESULTS

With the established IVIVC model, there was a good correlation between the observed fraction of dose excreted in urine and the time-scaled and time-shifted fraction of the drug dissolved, and between the in vitro dissolution time and the in vivo urinary excretion time for the ER formulations. The percent prediction error (%PE) on cumulative urinary excretion over the 24 h interval (A) and maximum urinary excretion rate (R) was less than 15% for the individual formulations and less than 10% for the average of the two formulations used to develop the model. Further, the %PE values using external predictability were below 10%.

CONCLUSIONS

A novel Level A IVIVC was successfully developed and validated for the new potassium chloride ER formulations using urinary pharmacokinetic data. This successful IVIVC may facilitate future development or manufacturing changes to the potassium chloride ER formulation.

摘要

目的

建立并验证氯化钾缓释(ER)制剂的A级体外-体内相关性(IVIVC)。

方法

研发了三种体外释放速率不同的氯化钾ER原型制剂,并在健康受试者中评估其尿药代动力学特征。利用时间尺度和时间偏移参数,建立了体外溶出与体内尿排泄(体内吸收的替代指标)之间的数学模型。然后基于内部和外部预测性对IVIVC模型进行验证。

结果

利用建立的IVIVC模型,尿中排泄剂量的观察分数与药物溶解的时间尺度和时间偏移分数之间,以及ER制剂的体外溶出时间与体内尿排泄时间之间存在良好的相关性。各制剂在24小时时间段内累积尿排泄量(A)和最大尿排泄速率(R)的预测误差百分比(%PE)小于15%,用于建立模型的两种制剂平均值的%PE小于10%。此外,利用外部预测性得到的%PE值低于10%。

结论

利用尿药代动力学数据成功建立并验证了新型氯化钾ER制剂的A级IVIVC。这种成功的IVIVC可能有助于氯化钾ER制剂未来的研发或生产变更。

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