DOI
https://doi.org/10.25772/K6V1-8923
Defense Date
2007
Document Type
Thesis
Degree Name
Master of Science
Department
Pharmaceutics
First Advisor
Dr. Jurgen Venitz
Abstract
Purpose: To establish a tool, termed as antimuscarinic activity (AMA), to predict the incidence of antimuscarinic adverse events (AMAEs).Methods: A literature review, focused on drugs having off-target interaction with muscarinic receptors, was performed. Prototypical drugs olanzapine, diphenhydramine, paroxetine were selected for the analysis. Scopolamine and darifenacin were included as positive and negative controls, respectively. Physiochemical properties, pharmacokinetic data, and clinical incidence of AMAEs for the selected drugs were collected from reported literature. Extrapolation of literature data was carried-out to obtain exposure data. To determine the drugs muscarinic affinity (Ki values), experiments were performed using 3H-QNB and membrane suspensions of M1, M2, and M3. Cmax, values were combined with Ki values to generate the relevant AMA. Validation of the AMA biomarker was carried-out against the reported AMAEs incidence. Results: With the exclusion of scopolamine and olanzapine for CNS and peripheral AMAEs, respectively, AMA ranking was related to the drugs AMAEs.
Rights
© The Author
Is Part Of
VCU University Archives
Is Part Of
VCU Theses and Dissertations
Date of Submission
June 2008