Suppr超能文献

重写基于生理的有限时间药代动力学(PBFTPK)模型的口服药代动力学。

Re-writing Oral Pharmacokinetics Using Physiologically Based Finite Time Pharmacokinetic (PBFTPK) Models.

机构信息

PharmaInformatics Unit, Research Center ATHENA, Athens, Greece.

Faculty of Pharmacy, Laboratory of Biopharmaceutics Pharmacokinetics, National and Kapodistrian University of Athens, Athens, Greece.

出版信息

Pharm Res. 2022 Apr;39(4):691-701. doi: 10.1007/s11095-022-03230-0. Epub 2022 Apr 4.

Abstract

PURPOSE

To develop physiologically based finite time pharmacokinetic (PBFTPK) models for the analysis of oral pharmacokinetic data.

METHODS

The models are based on the passive drug diffusion mechanism under the sink conditions principle. Up to three drug successive input functions of constant rate operating for a total time τ are considered. Differential equations were written for all these models assuming linear one- or two-compartment-model disposition. The differential equations were solved and functions describing the concentration of drug as a function of time for the central and the peripheral compartment were derived. The equations were used to generate simulated data and they were also fitted to a variety of experimental literature oral pharmacokinetic data.

RESULTS

The simulated curves resemble real life data. The end of the absorption processes τ is either equal to t or longer than t at the descending portion of the concentration time curve. Literature oral pharmacokinetic data of paracetamol, ibuprofen, almotriptan, cyclosporine (a total of four sets of data), and niraparib were analyzed using the PBFTPK models. Estimates for τ corresponding to a single or two or three different in magnitude input rates were derived along with the other model parameters for all data analyzed.

CONCLUSIONS

The PBFTPK models are a powerful tool for the analysis of oral pharmacokinetic data since they rely on the physiologically sound concept of finite absorption time.

摘要

目的

开发基于生理的有限时间药代动力学(PBFTPK)模型,用于分析口服药代动力学数据。

方法

该模型基于在吸收池条件原理下的被动药物扩散机制。考虑了三种药物连续输入的恒定速率操作,总时间为 τ。对于所有这些模型,都假设线性单室或双室模型处置,编写了微分方程。求解微分方程,并推导出描述药物在中央和外周室随时间变化的浓度的函数。使用这些方程生成模拟数据,并将其拟合到各种实验文献的口服药代动力学数据。

结果

模拟曲线与真实数据相似。在浓度时间曲线的下降部分,吸收过程的结束时间 τ 等于 t 或长于 t。使用 PBFTPK 模型分析了对乙酰氨基酚、布洛芬、阿莫曲坦、环孢素(共四组数据)和尼拉帕尼的文献口服药代动力学数据。对于单个或两个或三个不同幅度输入速率,推导出了 τ 的估计值,以及所有分析数据的其他模型参数。

结论

PBFTPK 模型是分析口服药代动力学数据的有力工具,因为它们依赖于有限吸收时间的生理合理概念。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验