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Validation of a rat behavioral avoidance model from a drug delivery perspective
Meenakshi G Bhat1, Raymond M Jordt, M Amin Khan
1Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, IN 46285, USA. mbhat@lilly.com
International Journal of Pharmaceutics
|August 30, 2005
Summary
A validated rat model effectively identifies bitter-tasting pharmaceutical compounds, mitigating business risks associated with drug taste perception. This behavioral avoidance assay aids in early detection of taste issues.
Area of Science:
- Pharmacology
- Drug Development
- Sensory Science
Background:
- Taste-masking pharmaceuticals is crucial but challenging for specific formulations like sublingual tablets.
- Limited toxicological data in early drug development phases hinders human taste panel studies.
- Bitter taste perception poses a significant business risk in pharmaceutical development.
Purpose of the Study:
- To validate a rat behavioral avoidance model for identifying bitter-tasting compounds.
- To assess the model's sensitivity in detecting bitter-tasting drugs at relevant concentrations.
- To establish a reliable surrogate assay for early identification of taste-related formulation challenges.
Main Methods:
- Utilized a rat behavioral avoidance model to assess taste perception.
- Tested five compounds (ergotamine tartrate, fluoxetine, sucrose, sumatriptan, povidone) representing a range of taste profiles.
- Validated the model's sensitivity against known bitter and non-bitter substances.
Main Results:
- The rat behavioral avoidance model successfully identified known bitter-tasting compounds.
- The model demonstrated sensitivity in distinguishing between compounds with varying taste profiles.
- Bitter taste was accurately detected for compounds like ergotamine tartrate and fluoxetine.
Conclusions:
- The validated rat behavioral avoidance model serves as a useful surrogate for identifying potentially bitter pharmaceutical compounds.
- This assay can mitigate business risks by enabling early detection of taste issues.
- The model supports formulation development, especially for challenging dosage forms like rapid dissolve sublingual tablets.