Application of an automated small-scale in vitro transfer model to predict in vivo precipitation inhibition
Autor: | Christian Wagner, Christian Jede, Werner Weitschies, Christian Weber, Holger Kubas, Mirko Koziolek, Markus Weigandt |
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Rok vydání: | 2019 |
Předmět: |
Drug
media_common.quotation_subject Biological Availability Pharmaceutical Science 02 engineering and technology Methylcellulose Pharmacology Lapatinib Models Biological 030226 pharmacology & pharmacy Polyethylene Glycols 03 medical and health sciences 0302 clinical medicine In vivo medicine Chemical Precipitation Solubility Protein Kinase Inhibitors media_common Supersaturation Gastric emptying Chemistry Hydrogen-Ion Concentration 021001 nanoscience & nanotechnology Bioavailability Intestines Drug Liberation Ketoconazole Polyvinyls 0210 nano-technology medicine.drug |
Zdroj: | International Journal of Pharmaceutics. 565:458-471 |
ISSN: | 0378-5173 |
Popis: | The majority of NCEs are weakly basic drugs. Consequently, their solubility is highly pH-dependent, with higher solubility in the acidic stomach and poor solubility in the neutral intestinal environment. The gastric emptying of dissolved drug can lead to the intestinal precipitation of the drug. One option of reducing this process is to formulate the drug together with a precipitation inhibitor (PI). The aim of this study was to investigate the effects of different PIs on the intestinal concentrations of ketoconazole and five orally administered kinase inhibitors (i.e. pazopanib, gefitinib, lapatinib, vemurafenib, and a Merck KGaA research compound, MSC-A) with the aid of a predictive small-scale in vitro transfer model. This screening revealed that HPMCAS and Soluplus® were the most effective PIs. Whereas all other drugs precipitated within several minutes, gefitinib expressed highly variable amorphous precipitation which was confirmed by PXRD. During the transfer model experiments, this intermediate supersaturated state was stabilized using HPMCAS and Soluplus®. The PI screening protocol described herein allows to study the effect of PIs for solubility and potential bioavailability improvement of poorly soluble drugs to support formulation development already in early stages. |
Databáze: | OpenAIRE |
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