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运用体外沉淀试验结合体内模拟和计算模型预测狗体内的地尔硫䓬沉淀及口服药代动力学。

Forecasting gastrointestinal precipitation and oral pharmacokinetics of dantrolene in dogs using an in vitro precipitation testing coupled with in silico modeling and simulation.

机构信息

Pharmaceutical Research and Technology Labs, Astellas Pharma Inc., 180 Ozumi, Yaizu, Shizuoka 425-0072, Japan; Institute of Pharmaceutical Technology, Goethe University Frankfurt am Main, Max von Laue Straβe 9, D-60438 Frankfurt am Main, Germany.

Institute of Pharmaceutical Technology, Goethe University Frankfurt am Main, Max von Laue Straβe 9, D-60438 Frankfurt am Main, Germany.

出版信息

Eur J Pharm Biopharm. 2017 Oct;119:107-113. doi: 10.1016/j.ejpb.2017.06.012. Epub 2017 Jun 13.

Abstract

The aim of the current research was to determine the precipitation kinetics of dantrolene sodium using canine biorelevant in vitro testing and to model the precipitation kinetics by appropriately coupling the data with an in silico tool adapted for dogs. The precipitation profiles of dantrolene sodium solutions were obtained with the in vitro paddle apparatus at a revolution rate of 50rpm. The in silico prediction tool was designed using STELLA software and the predicted plasma concentration profiles of dantrolene using the in vitro precipitation data were compared with the observed in vivo pharmacokinetics in beagle dogs. The plasma profiles of dantrolene, which served as a model weakly acidic drug which precipitates in the upper gastrointestinal tract, was successfully predicted using the in vitro precipitation testing coupled with the in silico modeling and simulation approach. The approach was subsequently used to forecast the effect of pharmaceutical excipients (HPMC/PG) on the ability of the drug to supersaturate in the gut and the resulting pharmacokinetics. The agreement of the simulated pharmacokinetics with the observed values confirms the ability of canine biorelevant media to predict oral performance of enhanced dosage forms in dogs.

摘要

本研究旨在使用犬生物相关的体外试验来确定硝苯地平的沉淀动力学,并通过适当将数据与为犬类设计的计算工具相结合来对沉淀动力学进行建模。采用桨式装置在 50rpm 的转速下获得硝苯地平溶液的沉淀曲线。使用 STELLA 软件设计了计算预测工具,并将使用体外沉淀数据预测的硝苯地平的血浆浓度曲线与比格犬的体内药代动力学观察结果进行了比较。硝苯地平的血浆浓度曲线作为模型弱酸性药物在上胃肠道中沉淀,成功地使用体外沉淀试验与计算建模和模拟方法进行了预测。该方法随后用于预测药物赋形剂(HPMC/PG)对药物在肠道中过饱和能力的影响及其随后的药代动力学。模拟药代动力学与观察值的一致性证实了犬生物相关介质能够预测增强剂型在犬中的口服性能。

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