Recent Advancements in Glucose-Modulated Insulin Delivery Systems

The management of diabetes has expanded tremendously with the development of glucose-modulated insulin delivery systems to improve glycemic control and reduce the risk of hypoglycemia. Traditional insulin therapy requires regular monitoring and precise dosing by the patient which can then lead to discomfort or possible ramifications. New technologies such as smart insulin formulations and automated delivery systems that can react in real-time after blood glucose fluctuations have emerged. An important contribution is glucose-responsive insulin (GRI), which consists of insulin molecules that were chemically modified to release insulin in response to elevated glucose concentrations. These formulations include glucose-sensing moieties, which include phenylboronic acid, glucose oxidase, and polymer hydrogels, for controlled release of insulin. One of the key developments was the development of engineered insulin analogs that can independently modify their activity according to glucose concentrations to increase efficacy. In addition, smart insulin pumps and artificial pancreas systems that combine continuous glucose monitoring (CGM) and automated insulin delivery, where dosing is based on data from machine learning algorithms, have been developed. Novel nanotech-type carriers such as microneedles, hydrogels, and nanoparticles can improve stability of insulin and controlled release. These new technologies have common goals of improving patient adherence, reducing glucose variability, and minimizing the long-term and acute consequences associated with diabetes. Despite these advancements, challenges with biocompatibility, cost, and regulatory approvals still need to be addressed. Future studies plan to optimize these technologies for widespread use in clinical practice, as they offer a more physiological and patient-centered approach to diabetes management. The integration of nanomedicine, artificial intelligence, and biomaterial engineering will continue to push ahead in the field, getting us closer to an autonomous insulin delivery system.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-24
DOI
https://doi.org/10.5281/zenodo.15507327
Primary Topic
Marine and fisheries research
Type
article
Field-Weighted Citation Impact
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article

Recent Advancements in Glucose-Modulated Insulin Delivery Systems

Zenodo (CERN European Organization for Nuclear Research)
Marine and fisheries research
article

Recent Advancements in Glucose-Modulated Insulin Delivery Systems

article en

Abstract

The management of diabetes has expanded tremendously with the development of glucose-modulated insulin delivery systems to improve glycemic control and reduce the risk of hypoglycemia. Traditional insulin therapy requires regular monitoring and precise dosing by the patient which can then lead to discomfort or possible ramifications. New technologies such as smart insulin formulations and automated delivery systems that can react in real-time after blood glucose fluctuations have emerged. An important contribution is glucose-responsive insulin (GRI), which consists of insulin molecules that were chemically modified to release insulin in response to elevated glucose concentrations. These formulations include glucose-sensing moieties, which include phenylboronic acid, glucose oxidase, and polymer hydrogels, for controlled release of insulin. One of the key developments was the development of engineered insulin analogs that can independently modify their activity according to glucose concentrations to increase efficacy. In addition, smart insulin pumps and artificial pancreas systems that combine continuous glucose monitoring (CGM) and automated insulin delivery, where dosing is based on data from machine learning algorithms, have been developed. Novel nanotech-type carriers such as microneedles, hydrogels, and nanoparticles can improve stability of insulin and controlled release. These new technologies have common goals of improving patient adherence, reducing glucose variability, and minimizing the long-term and acute consequences associated with diabetes. Despite these advancements, challenges with biocompatibility, cost, and regulatory approvals still need to be addressed. Future studies plan to optimize these technologies for widespread use in clinical practice, as they offer a more physiological and patient-centered approach to diabetes management. The integration of nanomedicine, artificial intelligence, and biomaterial engineering will continue to push ahead in the field, getting us closer to an autonomous insulin delivery system.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 56%
Marine and fisheries research
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