Biopharmaceutics classification by high throughput solubility assay and PAMPA

Area of Science:

• Pharmacokinetics and Drug Development
• Biopharmaceutical Sciences
• Analytical Chemistry

Background:

• The Biopharmaceutics Classification System (BCS) is crucial for predicting drug absorption and guiding formulation strategies.
• Accurate solubility and permeability data are essential for robust BCS classification.
• High-throughput screening methods are increasingly vital for efficient drug characterization.

Purpose of the Study:

• To evaluate the predictive relevance of high-throughput solubility assay (HTSA) and parallel artificial membrane permeation assay (PAMPA) for Biopharmaceutics Classification System (BCS) categorization.
• To assess the accuracy of HTSA and PAMPA in classifying a diverse set of pharmaceutical compounds.
• To determine the utility of these assays in streamlining drug development workflows.

Main Methods:

• Solubility was determined using high-throughput solubility assay (HTSA) in simulated gastric fluid (SGF, pH 1.2) and simulated intestinal fluid (SIF, pH 6.8).
• Permeability was assessed using the parallel artificial membrane permeation assay (PAMPA).
• Eighteen model drugs were subjected to HTSA and PAMPA for BCS classification.

Main Results:

• The combined HTSA and PAMPA approach correctly classified 14 out of 18 drugs, yielding a 78% overall success rate.
• HTSA demonstrated a high capability in predicting the solubility component of BCS classification.
• PAMPA proved effective in predicting drug permeation characteristics relevant to BCS.

Conclusions:

• HTSA and PAMPA are valuable, high-throughput tools for predicting drug behavior and facilitating Biopharmaceutics Classification System (BCS) classification.
• The study validates the use of HTSA and PAMPA as reliable predictors in early-stage drug development.
• These assays offer a practical and efficient method for assessing drug properties critical for formulation and bioavailability predictions.