Injectable Nano-Network for Glucose-Mediated Insulin Delivery
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Anderson_Injectable nano.pdf
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Checksum (MD5)
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Author(s)
Gu, Zhen
Aimetti, Alex A.
Wang, Qun
Dang, Tram T.
Zhang, Yunlong
Veiseh, Omid
Cheng, Hao
Anderson, Daniel Griffith
Langer, Robert S
Date Issued
May 2013
Journal
ACS Nano
Publisher
American Chemical Society (ACS)
Citation
Gu, Zhen, Alex A. Aimetti, Qun Wang, Tram T. Dang, Yunlong Zhang, Omid Veiseh, Hao Cheng, Robert S. Langer, and Daniel G. Anderson. “Injectable Nano-Network for Glucose-Mediated Insulin Delivery.” ACS Nano 7, no. 5 (May 28, 2013): 4194–4201. © 2013 American Chemical Society.
Version
Author's final manuscript
Abstract
Diabetes mellitus, a disorder of glucose regulation, is a global burden affecting 366 million people across the world. An artificial “closed-loop” system able to mimic pancreas activity and release insulin in response to glucose level changes has the potential to improve patient compliance and health. Herein we develop a glucose-mediated release strategy for the self-regulated delivery of insulin using an injectable and acid-degradable polymeric network. Formed by electrostatic interaction between oppositely charged dextran nanoparticles loaded with insulin and glucose-specific enzymes, the nanocomposite-based porous architecture can be dissociated and subsequently release insulin in a hyperglycemic state through the catalytic conversion of glucose into gluconic acid. In vitro insulin release can be modulated in a pulsatile profile in response to glucose concentrations. In vivo studies validated that these formulations provided improved glucose control in type 1 diabetic mice subcutaneously administered with a degradable nano-network. A single injection of the developed nano-network facilitated stabilization of the blood glucose levels in the normoglycemic state (<200 mg/dL) for up to 10 days.
MIT Department
Harvard University--MIT Division of Health Sciences and Technology
Massachusetts Institute of Technology. Department of Chemical Engineering
Koch Institute for Integrative Cancer Research at MIT
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1021/nn400630x
