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Microneedle-Based Multiplexed Monitoring of Diabetes Biomarkers: Capabilities Beyond Glucose Toward Closed-Loop Theranostic Systems

闭环 糖尿病 连续血糖监测 多路复用 医学 纳米技术 计算机科学 材料科学 计算生物学 生物医学工程 1型糖尿病 工程类 生物 内分泌学 电信 控制工程
作者
Chochanon Moonla,Maria Reynoso,An‐Yi Chang,Tamoghna Saha,Stacey Surace,Joseph Wang
出处
期刊:ACS Sensors [American Chemical Society]
卷期号:10 (8): 5363-5379 被引量:14
标识
DOI:10.1021/acssensors.5c00652
摘要

Significant advances have been made in the management of diabetes through the development of wearable biomedical monitoring and drug-delivery devices. Technologies such as continuous glucose monitors (CGMs) and insulin pumps have particularly transformed diabetes care over the past two decades. However, most current efforts largely focus on glucose and insulin regulation, limiting a broader understanding of metabolic health and the interplay of various biomarkers. Comprehensive diabetes management requires a more holistic approach encompassing diverse biomarkers to address the full spectrum of metabolic health. Adequate response to glycemic variability thus requires continuous monitoring of additional chemical and physical parameters that affect insulin sensitivity. Leveraging recent advances in wearable microneedle (MN) platforms, such systems have received considerable attention for biomedical applications, ranging from continuous multiplexed monitoring to transdermal drug delivery. This review article provides a thorough analysis of the use of MNs for enhanced diabetes management, emphasizing their unique capabilities for simultaneous monitoring of multiple key diabetes biomarkers beyond glucose and for autonomous transdermal delivery of insulin and glucagon based on novel glucose-responsive MN materials and addressing literature gaps regarding the integration of such diagnostic and treatment technologies onto single MN arrays. Representative applications of key MN sensing and delivery devices are highlighted, underscoring their capabilities to revolutionize disease management. We conclude with a forward-looking vision of next-generation AI-guided MN-based closed-loop "Sense-Release" artificial pancreas systems for enhanced glycemic control and improved patient outcomes.
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