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Priyanka Shourie Aditya R. Trivedi

Abstract

Diabetes mellitus is a condition characterized by chronically high blood glucose levels. Early research into diabetes led to the discovery of its link to the pancreas in 1889 by French scientists, and in 1921, Canadian researchers identified insulin deficiency as a key factor. The 19th-century discovery by Mering and Minkowski, that removing the pancreas in dogs resulted in diabetic symptoms, emphasized the organ’s crucial role in the condition. Building on earlier theories, Banting, Best, and Macleod discovered insulin in 1921, which revolutionized diabetes treatment. Diabetes is classified into three main types: Type 1 Diabetes Mellitus (T1DM), an autoimmune disease where the body attacks insulin-producing cells, requiring lifelong insulin injections; Type 2 Diabetes Mellitus (T2DM), which results from insulin resistance or impaired insulin secretion, often linked to genetics and lifestyle factors; and Gestational Diabetes Mellitus (GDM), which develops during pregnancy due to hormonal changes affecting insulin production but typically resolves after childbirth. Recent research has expanded our understanding of diabetes through exploring genetic, environmental, and microbiome influences. The gut microbiome, in particular, is gaining attention for its potential role in the onset and management of diabetes, with emerging evidence suggesting that gut bacteria may influence insulin sensitivity and metabolic processes. Moreover, Artificial Intelligence (AI)-driven interventions are being developed to improve diabetes management, such as algorithms for personalized insulin delivery, predictive modeling for glycemic control, and the optimization of treatment regimens. Advancements in beta cell protection and regeneration, as well as closed-loop insulin delivery systems, offer hope for more effective diabetes management. While wellness programs and medications can reduce complications, the increasing prevalence of diabetes underscores the need for further research. Public health initiatives that promote healthy lifestyles remain essential for diabetes prevention. Future research is focused on novel therapies, including AI-driven technologies, as well as patient-centered approaches that aim to enhance quality of life and minimize complications.

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