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A correlative model to predict in vivo AUC for nanosystem drug delivery with release rate-limited absorption

机译:一种相关模型,用于预测纳米系统药物释放的体内aUC,具有释放速率限制的吸收

摘要

Purpose. Drug release from nanosystems at the sites of either absorption or effect biophase is a major determinant of its biological action. Thus, in vitro drug release is of paramount importance in gaining insight for the systems performance in vivo. Methods. A novel in vitro in vivo correlation, IVIVC, model denoted as double reciprocal area method was presented and applied to 19 drugs from 55 nano formulations with total 336 data, gathered from literature. Results. The proposed model correlated the in vitro with in vivo parameters with overall error of 12.4 ± 3.9%. Also the trained version of the model predicted the test formulations with overall error of 15.8 ± 3.7% indicating the suitability of the approach. A theoretical justification was provided for the model considering the unified classical release laws. Conclusion. The model does not necessitate bolus intravenous drug data and seems to be suitable for IVIVC of drugs with release rate-limited absorption.
机译:目的。在吸收或效应生物相的部位从纳米系统释放的药物是其生物作用的主要决定因素。因此,体外药物释放对于深入了解体内系统性能至关重要。方法。提出了一种新的体外体内相关性IIVVC模型,该模型称为双倒数面积法,并将其应用于55种纳米制剂中的19种药物,并从文献中收集了336个数据。结果。所提出的模型将体外参数与体内参数相关联,总误差为12.4±3.9%。此外,模型的训练版还预测了测试配方,总体误差为15.8±3.7%,表明该方法的适用性。为模型提供了考虑统一古典发行法则的理论依据。结论。该模型不需要静脉推注药物数据,似乎适用于释放速率受限制的药物的IVIVC。

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