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Published on: November 3, 2023
Development of glucose-responsive 'smart' insulin systems
Nischay K Rege1, Nelson F B Phillips, Michael A Weiss
1aDepartment of Biochemistry and Medical Scientist Training Program bDepartment of Biochemistry cDepartment of Biomedical Engineering dDepartment of Biochemistry eDepartment of Medicine, Case Western Reserve University, Cleveland, Ohio, USA.
Smart insulin technologies (glucose-responsive insulin, GRI) aim to improve diabetes management by providing insulin activity proportional to blood glucose levels. Recent advances in algorithms, polymer encapsulation, and molecular modifications show promise for clinical implementation.
Area of Science:
- Biomedical Engineering
- Endocrinology
- Materials Science
Background:
- Modern insulin therapy for diabetes mellitus is complex, with risks from blood glucose fluctuations (hyperglycemia, hypoglycemia).
- Glucose-responsive insulin (GRI) technologies aim to provide insulin activity that automatically adjusts to a patient's glycemic state.
- GRI eliminates the need for continuous patient or healthcare provider monitoring.
Purpose of the Study:
- To review the historical development of GRI technologies.
- To highlight three distinct approaches to GRI development: closed-loop systems, polymer encapsulation, and molecular insulin modification.
Main Methods:
- Review of recent advancements in GRI research.
- Illustration of newly developed algorithms for continuous glucose monitoring (CGM)-based insulin delivery.
- Description of glucose-sensitive and hypoxia-sensitive polymer matrices.
- Discussion of molecular modifications of insulin and polymer-encapsulated, stem-cell-derived pancreatic β cells.
Main Results:
- Significant progress has been made in algorithm development for closed-loop systems.
- Novel glucose-sensitive modifications of existing insulin analogs have been developed.
- New polymer matrices, including hypoxia-sensitive ones, are being explored for insulin delivery.
- Advancements include polymer-encapsulated, stem-cell-derived pancreatic β cells.
Conclusions:
- While GRI technologies are not yet perfected, recent interdisciplinary advances offer a clear path toward clinical application.
- The reviewed technologies represent a significant step forward in smart insulin development.
- Further research and development are expected to lead to successful clinical implementation of GRI.
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