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Updated: Sep 13, 2025

Ex Vivo Intestinal Sacs to Assess Mucosal Permeability in Models of Gastrointestinal Disease
Published on: February 9, 2016
In Vitro Oral Cavity Permeability Assessment to Enable Simulation of Drug Absorption
Pankaj Dwivedi1, Priyata Kalra2, Haiying Zhou2
1Department of Pharmaceutical and Administrative Sciences, University of Health Sciences and Pharmacy in Saint Louis, St. Louis, MO 63110, USA.
This study quantified drug permeation through oral cavity tissues using in vitro models. Findings will help develop predictive computational models for oral drug absorption, accelerating generic product development.
Area of Science:
- Pharmacology
- Drug Delivery
- Biotechnology
Background:
- The oral cavity offers a convenient drug administration route, bypassing hepatic first-pass metabolism.
- Selected active pharmaceutical ingredients (APIs) were investigated in U.S. Food and Drug Administration-approved oral cavity drug products.
Purpose of the Study:
- To quantify the mucosal permeation properties of APIs in oral cavity drug products.
- To evaluate human-derived sublingual (HO-1-u-1) and buccal (EpiOral™) in vitro tissue models for drug absorption studies.
Main Methods:
- Epithelial barrier properties were assessed using propranolol and Lucifer Yellow as markers.
- Transepithelial flux of APIs in artificial saliva (pH 6.7) was quantified via High-Performance Liquid Chromatography (HPLC).
Main Results:
- Apparent permeability coefficients (Papp) varied between APIs and tissue models.
- The buccal EpiOral™ model showed greater discrimination, with permeation values ranging from 3.31 ± 0.83 × 10⁻⁷ cm/s (acyclovir) to 2.56 ± 0.68 × 10⁻⁵ cm/s (sufentanil).
- Higher tissue-associated dose fractions were observed in the buccal EpiOral™ model (up to 8.5% for sufentanil).
Conclusions:
- Permeation data from in vitro models will train predictive computational models for oral drug absorption.
- In silico modeling strategies are expected to accelerate the development of generic oral cavity products.
- Model-integrated evidence will support regulatory decisions for generic drug development.
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