Introduction to the OrBiTo decision tree to select the most appropriate in vitro methodology for release testing of...

Area of Science:

• Pharmaceutical Sciences
• Drug Development
• Biopharmaceutics

Background:

• The EU research initiative OrBiTo (oral biopharmaceutics tools) aimed to enhance drug absorption prediction and accelerate formulation development.
• Work Package 2 (WP2) of the OrBiTo project specifically focused on the characterization of drug formulations.
• Existing methods for optimizing oral drug formulation and development require efficient tools for selecting appropriate in vitro assays.

Purpose of the Study:

• To introduce the OrBiTo WP2 Decision Tree, a novel tool designed to guide researchers in choosing suitable in vitro methods.
• To assist in optimizing oral formulation design and development by providing a structured approach to method selection.
• To facilitate the prediction of drug absorption in humans and streamline the formulation development process.

Main Methods:

• The OrBiTo WP2 Decision Tree employs a four-stage process for guiding investigators.
• Stage 1: Selection of the formulation type.
• Stage 2: Identification of preferred or available equipment (compendial, modified, noncompendial).
• Stage 3: Evaluation of active pharmaceutical ingredient (API) characteristics.
• Stage 4: Recommendation of appropriate experimental protocols.

Main Results:

• The Decision Tree provides a systematic framework for selecting in vitro methods relevant to oral drug formulation.
• It integrates formulation type, equipment availability, and API properties to recommend specific experimental protocols.
• A 'living' document of the Decision Tree is available for community use and feedback.

Conclusions:

• The OrBiTo WP2 Decision Tree serves as a valuable resource for the pharmaceutical sciences community.
• Its application can improve the efficiency and effectiveness of oral drug formulation development and characterization.
• The project invites collaboration for the continuous improvement and expansion of the Decision Tree tool.