Ryan Akman

BME PhD Thesis Proposal Presentation

Date: March 3, 2020

Time: 11 AM

Location: Marcus Nano Conference Room 1117-1118

(BlueJeans information below)

Advisor: Scott Hollister

Committee: Bob Guldberg (University of Oregon), M.G. Finn, Dave Safranski, Vahid Serpooshan, Rudy Gleason

Title: Development and Characterization of the 3D Printed Biodegradable and Shape Memory Polymer Poly(glycerol dodecanoate) for Soft Tissue Reconstruction

Abstract:

In the tissue engineering field there remains a gap with regards to the development of biomaterials utilizable for the treatment of soft tissue pathologies that can be deployed via minimally invasive techniques, while modeling the target soft tissue’s mechanical properties. Despite this gap in the field, minimally invasive surgical procedures are increasing in frequency across multiple fields of medicine due to lower operational costs, shorter length of stay, less adverse events and in turn lower reimbursement costs. To fully address these concerns devices need to be produced that model the complex mechanics of soft tissue. Using synthetic polymers is advantageous as they can be rationally designed for the treatment of a range of target tissues via alterations in their underlying chemistry to impart the mechanical properties desired for specific applications.

The chemistry of synthetic polymers can be readily tuned to 3D print these materials, which provides the ability to manufacture patient-specific devices replicating complex geometries that cannot be produced through traditional manufacturing methods. In addition this biomaterial must be biocompatible, biodegradable, and should be cell adhesive to promote tissue infiltration into the implant in order to improve healing outcomes for the damaged region being targeted for treatment. Finally, materials used in minimally invasive procedures require shape memory attributes in order to initially fit in a delivery device and, ultimately upon implantation, expand to address the tissue pathology. Poly(glycerol-dodecanoate) (PGD), a biodegradable shape memory polymer developed by our lab, is well positioned for this application. The goals of this work are to 1. develop and characterize photocurable PGD through acrylation chemistry, 2. 3D print PGD using nozzle-based and LCD print modalities, and 3. measure the inflammatory response and changes in material properties of PGD samples after in vivo subcutaneous implantation.

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