Issue 73, 2017, Issue in Progress

Novel amphiphilic glucose-responsive modified starch micelles for insulin delivery

Abstract

The high pKa (8.26 to 8.6) of PBA has restricted its glucose-responsiveness in physiological conditions, and the high cytotoxicity of polymers is also a limiting problem in their potential application for insulin delivery. Novel amphiphilic glucose-sensitive dialdehyde starch polymers containing 3-aminophenylboronic acid (APBA) as a glucose-responsive group and mPEGylated dialdehyde starch (mPEG-DAS) with hydrophobic 7-hydroxycoumarin-4-acetic acid (Cou) were synthesized. This dialdehyde starch derivative can self-assemble into mPEG-DAS–APBA–Cou micelles with “shell–core” structures in phosphate-buffered saline solution (PBS). In addition, the drug-loaded micelles can release insulin rapidly in response to hyperglycemia in a physiological environment. The results demonstrated that the mPEG-DAS–APBA–Cou micelles showed notable glucose responsive behavior near the physiological range. The insulin release from the nanocarriers is sensitive to different concentrations of glucose, releasing insulin rapidly under the conditions of 3 mg mL−1 glucose while demonstrating comparatively inert release at 1 mg mL−1 glucose (pH 7.4). MTT assays and hemolysis studies both confirmed that the mPEG-DAS–APBA–Cou micelles have low cytotoxic activity to A549 cells and low blood toxicity. These results suggest that the glucose-sensitive dialdehyde starch micelles (mPEG-DAS–APBA–Cou) have potential applications as a glucose-responsive material for insulin delivery.

Graphical abstract: Novel amphiphilic glucose-responsive modified starch micelles for insulin delivery

Supplementary files

Article information

Article type
Paper
Submitted
27 Jul 2017
Accepted
07 Sep 2017
First published
27 Sep 2017
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2017,7, 45978-45986

Novel amphiphilic glucose-responsive modified starch micelles for insulin delivery

N. Wen, C. Gao, S. Lü, X. Xu, X. Bai, C. Wu, P. Ning, S. Zhang and M. Liu, RSC Adv., 2017, 7, 45978 DOI: 10.1039/C7RA08291F

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