Glucose-Responsive Materials for Smart Insulin Delivery: From Protein-Based to Protein-Free Design

被引:0
|
作者
Pal, Suchetan [1 ,2 ]
Rakshit, Tatini [3 ]
Saha, Sunita [2 ]
Jinagal, Dharmesh [2 ]
机构
[1] Indian Inst Technol Bhilai, Dept Biosci & Biomed Engn, Durg 491002, CG, India
[2] Indian Inst Technol Bhilai, Dept Chem, Durg 491002, CG, India
[3] Shiv Nadar Inst Eminence, Dept Chem, Greater Noida 201314, UP, India
来源
ACS MATERIALS AU | 2025年 / 5卷 / 02期
关键词
Artificial pancreas; glucose-responsive material; smart insulin; smart hydrogel; diabetes; CONCANAVALIN-A; POLY(VINYL ALCOHOL); SENSITIVE VESICLES; DIABETES-MELLITUS; POLYMER; MICROGELS; HYDROGEL; LOOP; OXIDASE; GEL;
D O I
10.1021/acsmaterialsau.4c00138
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Over the last four decades, glucose-responsive materials have emerged as promising candidates for developing smart insulin delivery systems, offering an alternative approach to treating diabetes. These materials replicate the pancreas's natural "closed loop" insulin secretion function by detecting changes in blood glucose levels and releasing insulin accordingly. This perspective highlights the evolution of glucose-responsive materials from protein-based materials, such as glucose oxidase (GOx), and glucose-binding proteins, such as concanavalin A (ConA), to protein-free materials, including phenylboronic acid (PBA) and their applications in smart insulin delivery. We first describe protein-based glucose-responsive systems that depend on different macromolecules, including enzymes and proteins, that interact directly with glucose to promote insulin release. However, these systems encounter significant stability, scalability, and immunogenicity challenges. In contrast, protein-free systems include hydrogels, nanogels/microgels, and microneedle patches, offering long-term stability and storability. In this direction, we discuss the design principles, mechanisms of glucose/pH sensitivity, and the disintegration of both protein-based and protein-free systems into different glucose environments. Finally, we outline the key challenges, potential solutions, and prospects for developing smart insulin delivery systems.
引用
收藏
页码:239 / 252
页数:14
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