The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Injectable Nano-Network for Glucose-Mediated Insulin Delivery
Open accessAbstract
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.
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Metadata
- Authors
- Gu, Z., Aimetti, A. A., Wang, Q., Dang, T. T., Zhang, Y., Veiseh, O., Cheng, H., Langer, R. S., & Anderson, D. G.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2013-05-02
- Volume
- 7
- Issue
- 5
- Pages
- 4194-4201
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2159584298
- Cited by
- 462
- References
- 29
- FWCI
- 15.22
- Type
- journal article
- Language
- en
- Open access
- green
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- Gu, Z., Aimetti, A. A., Wang, Q., Dang, T. T., Zhang, Y., Veiseh, O., Cheng, H., Langer, R. S., & Anderson, D. G. (2013). Injectable Nano-Network for Glucose-Mediated Insulin Delivery. ACS Nano. https://doi.org/10.1021/nn400630x
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
