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首页> 外文期刊>European journal of pharmaceutical sciences >In vitro - in silico - in vivo drug absorption model development based on mechanistic gastrointestinal simulation and artificial neural networks: Nifedipine osmotic release tablets case study
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In vitro - in silico - in vivo drug absorption model development based on mechanistic gastrointestinal simulation and artificial neural networks: Nifedipine osmotic release tablets case study

机译:基于机械胃肠道模拟和人工神经网络的体外-体内-体内药物吸收模型开发:硝苯地平渗透释放片案例研究

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摘要

In vitro - in vivo correlations (IVIVC) are generally accepted as a valuable tool in modified release formulation development aimed at (i) quantifying the in vivo drug delivery profile and formulation related effects on absorption; (ii) establishing clinically relevant dissolution specifications and (iii) supporting the biowaiver claims. The aim of the present study was to develop relevant IVIVC models based on mechanistic gastrointestinal simulation (GIS) and artificial neural network (ANN) analysis and to evaluate their applicability and usefulness in biopharmaceutical drug characterisation. Nifedipine osmotic release tablets were selected as model drug product on the basis of their robustness, dissolution limited drug absorption and the availability of relevant literature data. Although the osmotic release tablets have been designed to be robust against the influence of physiological conditions in the gastrointestinal tract, notable differences in nifedipine dissolution kinetics were observed depending on the in vitro experimental conditions employed. The results obtained indicate that both GIS and ANN model developed were sensitive to input kinetics represented by the in vitro profiles obtained under various experimental conditions. Different in silico approaches may be successfully employed in the in vitro - in silico - in vivo model development. However, the results obtained may differ and relevant outcomes are sensitive to the methodology employed.
机译:体外-体内相关性(IVIVC)通常被认为是调释制剂开发中的有价值的工具,旨在(i)定量体内药物传递曲线和制剂对吸收的影响; (ii)建立与临床相关的溶出度标准,以及(iii)支持生物豁免声明。本研究的目的是在机械胃肠道模拟(GIS)和人工神经网络(ANN)分析的基础上开发相关的IVIVC模型,并评估其在生物制药药物表征中的适用性和实用性。根据硝苯地平的稳健性,溶出度限制的药物吸收和相关文献数据的可用性,选择硝苯地平渗透释放片作为模型药物。尽管将渗透释放片设计成对胃肠道中生理条件的影响具有抵抗力,但根据所采用的体外实验条件,硝苯地平的溶出动力学存在明显差异。获得的结果表明,开发的GIS和ANN模型都对在各种实验条件下获得的体外曲线所代表的输入动力学敏感。不同的计算机模拟方法可以成功地用于体外-计算机模拟-体内模型开发。但是,获得的结果可能有所不同,并且相关结果对所采用的方法很敏感。

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