(232e) Development and Use of Modeling Techniques and Continuous Biomolecule Detection Towards Diabetes Treatment

Authors: 
Bakh, N., Massachusetts Institute of Technology
Bisker, G., Massachusetts Institute of Technology
Lee, M. A., Massachusetts Institute of Technology
Nguyen, F. T., Massachusetts Institute of Technology
Gong, X., Massachusetts Institute of Technology
Salem, D. P., Massachusetts Institute of Technology
Strano, M., Massachusetts Institute of Technology
Maintaining glycemic control is of critical for diabetic patients. A number of technologies are currently on the market to improve glycemic control such as using continuous glucose monitoring (CGM) with an insulin pump. However, CGM alone cannot provide perfect glycemic control. One way of maintaining blood glucose is through the development of glucose-responsive insulins (GRIs), which are synthetic insulin formulations that dynamically change their potency in response to their environmental conditions. GRIs provide great promise; however, their development is time consuming and requires iteration of in vivo experiments. We use well developed pharmacokinetic models of glucose-insulin metabolism to map out the kinetic parameter space of GRIs, allowing the time consuming experimental iteration to be conducted mathematically. Another strategy of improving glycemic control, would be to add continuous insulin monitoring (CIM) to the insulin pump, allowing for tighter control loop algorithms to be developed. We show the development of continuous biomolecule sensors based on the fluorescent single walled carbon nanotubes. These nanosensors show sensitivity to a variety of biologically relevant analytes and show promise for the development of a platform that can continuously detect biomolecules in vivo.