Insulin-Dendrimer Nanocomplex for Multi-Day Glucose-Responsive Therapy in Mice and Swine

Sijie Xian,Yuanhui Xiang,Dongping Liu, Bowen Fan,Katarina Mitrova, Rachel C. Ollier,Bo Su, Muhammad Ali Alloosh,Jiri Jiracek, Michael Sturek,Mouhamad Alloosh,Matthew J. Webber

ADVANCED MATERIALS(2023)

引用 0|浏览4
暂无评分
摘要
The management of diabetes in a manner offering autonomous insulin therapy responsive to glucose-directed need, and moreover with a dosing schedule amenable to facile administration, remains an ongoing goal to improve the standard of care. While basal insulins with reduced dosing frequency, even once-weekly administration, are on the horizon, there is still no approved therapy that offers glucose-responsive insulin function. Herein, a nanoscale complex combining both electrostatic- and dynamic-covalent interactions between a synthetic dendrimer carrier and an insulin analogue modified with a high-affinity glucose-binding motif yields an injectable insulin depot affording both glucose-directed and long-lasting insulin availability. Following a single injection, it is even possible to control blood glucose for at least one week in diabetic swine subjected to daily oral glucose challenges. Measurements of serum insulin concentration in response to challenge show increases in insulin corresponding to elevated blood glucose levels, an uncommon finding even in preclinical work on glucose-responsive insulin. Accordingly, the subcutaneous nanocomplex that results from combining electrostatic- and dynamic-covalent interactions between a modified insulin and a synthetic dendrimer carrier affords a glucose-responsive insulin depot for week-long control following a single routine injection. An insulin nanocomplex formulation prepared by coupling electrostatic- and dynamic-covalent interactions is shown that affords long-lasting blood glucose control with an elevated insulin response to glucose challenge for up to a week following a single injection.image
更多
查看译文
关键词
bioconjugation,drug delivery,materials chemistry,nanotechnology
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要