Development of Prediction System for Drug Absorption after Intranasal Administration Incorporating Physiologic Functions of Nose -Estimation of in Vivo Drug Permeation through Nasal Mucosa Using in Vitro Membrane Permeability

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The nasal drug application has drawn much attention as the strategy for the delivery route of many drug modalities such as the poorly absorbed drugs, peptides, nucleic acid, and central nervous system drugs. The absorption of drug after intranasal (IN) application depends on the nasal residence time of applied drug, affected by mucociliary clearance (MC). MC is a decisive factor in the nasal absorption of drug. We describe the establishment of in vitro evaluation system of nasal MC via the moving velocity of a marker particle on nasal mucosa, and the development of the pharmacokinetic model to which in vitro parameters on nasal MC was incorporated to enable the prediction of drug absorption after IN application. Moreover, the pharmacokinetics of norfloxacin after IN application was investigated using MC-modified rats pretreated with MC modulators. Nasal absorption fluctuated due to changes in the nasal residence time of drug in response to changes in MC. The prediction system enables quantitative evaluation of changes in drug absorption associated with MC fluctuations. In addition, for a precise prediction system for drug absorption after IN application from the drug absorption model, the relationships between in vitro drug permeability through Calu-3 layers, in vivo transnasal permeation of drug and in vivo bioavailability after IN application were evaluated. The significant correlations between these parameters were obtained, suggesting that transnasal permeability and drug absorption after IN application can be predicted from in vitro membrane permeability.