Drug Delivery
Kayleigh Trumbull
Undergraduate Student
Clemson University
Central, South Carolina, United States
Pabi Sahoo
Research Assistant Professor
University of South Carolina
Columbia, South Carolina, United States
Jeffrey Twiss
Professor, SmartState Chair in Childhood Neurotherapeutics, Associate Dean for Research and Graduate
University of South Carolina, United States
Jessica Larsen (she/her/hers)
Carol and John Cromer ’63 Family Endowed Associate Professor
Clemson University, United States
Upon injury, neurons begin to regenerate immediately, but their growth is inhibited by the formation of stress granules—clusters of untranslated mRNAs—across the cells. Delivery of a nerve-regenerative peptide to disassemble these stress granules presents a possible treatment for injuries in the peripheral nervous system (PNS). The current challenge facing this method is the presence of highly selective membranes known as the blood-brain (BBB) and blood-nerve barrier (BNB), which block nearly all small molecules and render treatment of the central nervous system (CNS) and PNS extremely difficult. Polymersomes are self-assembling vesicles made from amphiphilic block copolymers, capable of encapsulating both hydrophilic and hydrophobic molecules. Polymersomes can be fine-tuned for membrane structure, size, vesicle shape, and membrane thickness in drug delivery applications. In this project, we develop polymersomes capable of delivering a nerve-regenerative peptide through the BBB and BNB in treatment of nerve and spinal cord injuries. By manipulating the surface binding properties of polymersomes, we hypothesize that we will be able to customize them for targeted delivery of a nerve-regenerative peptide with appropriate peptide release windows for various types of nerve injuries and thus create a customizable approach to neurological repair. We will also assess the efficacy of administering the polymersomes via intranerve (IN) versus intramuscular (IM) injection immediately after the creation of a sciatic nerve crush injury (SCNI) model in vivo.