研究目的
To develop second-generation insulin photoactivated depot (PAD) materials that use visible light to stimulate insulin release, improving upon the in vivo performance of first-generation materials by incorporating coumarin photo-cleavable groups and eliminating the need for polymers to confer material insolubility.
研究成果
The study successfully developed second-generation insulin PAD materials with significantly improved in vivo performance, releasing 28-fold more insulin per energy basis than first-generation materials. The materials use visible light for insulin release, enhancing tissue penetration and reducing phototoxicity risks. The approach eliminates the need for polymers, increasing insulin density and ease of release.
研究不足
The study's limitations include the need for mechanical milling to make the insoluble trimer injectable and the potential for skin heating with the light source, requiring careful control of light intensity to prevent damage.
1:Experimental Design and Method Selection:
The study involved the synthesis of new azide-terminated coumarin linkers reacted with the amine groups of insulin, followed by reaction with a tridentate strained alkyne linker to form an insulin trimer. The trimer's photolysis and insulin release were assessed in vitro and in vivo.
2:Sample Selection and Data Sources:
Human recombinant insulin was used as the starting material. The study included in vitro analysis of photolysis rates and in vivo assessment in diabetic rats.
3:List of Experimental Equipment and Materials:
Equipment included a USB-2000 fiber optic spectrometer, HPLC systems, ESI-MS, and a DLS particle size analyzer. Materials included human recombinant insulin, various chemicals for synthesis, and a 406 nm LED light source.
4:Experimental Procedures and Operational Workflow:
The synthesis of coumarin linkers, their reaction with insulin, purification of isomers, formation of the insulin trimer, and assessment of photolysis and insulin release in vitro and in vivo.
5:Data Analysis Methods:
Data were analyzed using HPLC, ESI-MS, and gel electrophoresis. In vivo data were analyzed using ELISA for insulin levels and glucometer for blood glucose levels.
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