Alex Aimetti

Alex AimettiAlex Aimetti
University of Colorado
Department of Chemical and Biological Engineering
Boulder, CO 80309
Phone: (303) 492-0876
Email: alex.aimetti@colorado.edu

[CV]

Type I diabetes is a genetic, autoimmune disorder that affects 1 in every 300 people under the age of 20 nationwide. The body’s immune system attacks and destroys the insulin producing beta cells of the pancreas. The most common treatment for the disease is daily injections of insulin, which require frequent glucose monitoring and patient compliance. Islet transplantation is a promising treatment for the disease where many research efforts are focused. Currently, patients who receive these grafts are treated systemically with immunosuppressant drugs to minimize the body’s rejection of the transplanted foreign islet cells. Consequently, immunosuppression turns off the patient’s immune system making them more susceptible to other diseases and illnesses.

Immunoprotection of islets by encapsulation with an inert, semi-permeable material can minimize cell-cell mediated destruction by immune cells and still allow for nutrient, glucose, O2, and insulin transport. However, these immune cells that are recruited to the site of implantation secrete other molecules that can diffuse through the passive barrier, such as cytokines and proteases which have an adverse effect on the viability of encapsulated islet cells. There is a need for an active barrier system that will provide localized immunosuppression in the surrounding environment, thus, enhancing tolerance of the grafted tissue.

This project aims to use bioconjugation techniques to covalently incorporate anti-inflammatory drugs attached to enzyme cleavable peptides into a poly(ethylene glycol) (PEG) hydrogel. Upon neutrophil (immune cell) activation, elastase is secreted which can penetrate the gel network and cleave its respective substrate releasing a therapeutic into the localized environment. This biomaterial will act as a physical, active barrier and protect encapsulated cells from the in vivo environment.


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