511026 Drug Release of paclitaxel from Ace-DEX Particles: An Experimental and Mathematical Model

Rebeca Thweatt, Mork Family Department of Chemical Engineering, University of Southern California, Los Angeles, CA, Matthew Gallovic, Division of Pharmacoengineering and Molecular Pharmaceutics, Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, John Diep, Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, Gauri Rao, Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC and Kristy M. Ainslie, Division of Pharmacoengineering and Molecular Pharmaceutics, Eshelman School of Pharmacy, University of North Carolina - Chapel Hill, Chapel Hill, NC

Microparticles (MPs) can be used to enhance local drug delivery and control release while protecting the drug from degradation and reducing off-target toxicity. Utilizing acetalated dextran (Ace-DEX) as a MP drug delivery platform allows for triggered release in acidic environments, such as the endosome of phagocytic cells, tumor microenvironments, and sites of inflammation. Ace-DEX is a biodegradable, acid-sensitive polymer that is formed when water-soluble dextran is chemically modified with acetal groups. Reaction time during polymer synthesis determines the ratio of cyclic to acyclic acetal groups, where a longer reaction time yields a higher cyclic acetal coverage (CAC). Since cyclic acetal groups are more stable and have increased resistance to hydrolysis over noncyclic groups, higher CAC Ace-DEX degrades more slowly than lower CAC polymer. In this work, the effect of CAC on the release of paclitaxel (PTX), a hydrophobic small molecule chemotherapeutic, was evaluated in a pH 7.4 environment to mimic physiological pH. A mathematical model to predict drug release from Ace-DEX MPs in vitro was developed based on a combination of relationships modelling simple diffusion and particle degradation via surface erosion. This model was evaluated against our lab’s previously published data for resiquimod release from Ace-DEX particles in pH 5 and pH 7.4 environments before adjusting parameter values to predict PTX release. Our initial results indicate that our mathematical model can accurately predict drug release from Ace-DEX particles, even while varying polymer CAC. To further evaluate our model, we have planned in vivo experiments with our particles.

Extended Abstract: File Not Uploaded