Development, validation and standardization of oromucosal ex-vivo permeation studies for implementation in quality-controlled environments

Abstract

Tissue-based ex-vivo studies on the oromucosal permeability of drugs are often insufficiently adapted to physiological and clinical conditions, which limits their predictivity. Moreover, the scientific community demands for the standardization of ex-vivo studies, since conceptual limitations (e.g. low sensitivity of analytical methods, insufficient monitoring, different designs) restrict the wide implementation in preclinical drug development.Therefore, an innovative ex-vivo permeation process consisting of novel Kerski diffusion cell coupled to fully automated sampling and sample preparation with LC–MS/MS quantification was developed and standardized. Novel assays for routine examination of tissue integrity and viability were developed and embedded in a comprehensive analytical control system. The high level of standardization and automation reduced the differences of between-run to within-run precision to ≤ 0.27 % CV. Successful validation proved a broad calibration range of 0.93–952.38 ng/mL of the model drug cyclobenzaprine with guideline-compliant relative errors from -7.9–12.6 % (between-run accuracy). Consequently, the method allowed the physiological-clinical alignment of the study conditions to therapeutic doses and the short residence time of intraoral drugs (sampling times 1−60 min).Applicability was demonstrated by assessing the oromucosal permeability for different sublingual cyclobenzaprine hydrochloride formulations representing the excipient selection as a common aspect during galenic development. Thereby, expressive evaluation of the dosage forms was achieved resulting in an improved permeation by replacing croscarmellose into polyvinylpyrrolidone (cumulative amount of 42.6 vs. 112.6 μg/cm²). Thus, the automated permeation process ensured lean, standardized and reproducible assessment of oromucosal permeability within quality-controlled academic and regulatory environments. Simultaneously, the improved ex-vivo predictivity through physiological-clinical adjustments facilitates the reduction of costly in-vivo studies.