Recent Advances in Diabetes Drug Therapy and Personalized Treatment Strategies

Among the global health challenges, diabetes mellitus—an archetypal meta-bolic disorder—continues to increase in prevalence. According to the World Health Organization, the number of diagnosed patients has more than tripled over the past two decades, making it a significant cause of disability and death. The accelerated ageing of the population, the prevalence of sedentary behaviours, and the problem of over-nutrition are all contributing to the increase in the prevalence of diabetes mellitus. Although conventional interventions such as glucose-lowering medications, dietary modification, and physical exercise can alleviate symptoms, they are unable to overcome the inherent limitations of fluctuating efficacy and poor patient compliance. Modern medicine is undergoing a therapeutic paradigm shift: breakthroughs in genomics technology have made individualised medication possible, artificial intelligence-assisted diagnostic systems have dramatically improved the accuracy of disease typing, and real-time monitoring by wearable devices has provided data support for dynamic adjustments to treatment regimens. By integrating multi-omics data (including genomic features, metabolomic profiles, and the composition of intestinal flora) with patients' behavioural patterns, clinicians are able to build precise treatment models and achieve the transformation from “one person for every patient” to “tailor-made”. This individualised strategy, based on big data, not only optimises glycemic control but also significantly reduces the risk of long-term complications such as retinopathy and nephropathy. In this study, we focus on the cutting-edge advances in precision medicine for diabetes, and systematically discuss the key issues of biomarker screening, development of intelligent diagnostic and treatment systems, and optimisation of personalised intervention plans, with the aim of providing theoretical basis and practical guidance for the construction of the next-generation diabetes management system, and ultimately realising the leap-forward development from disease treatment to health management.

Authors

Publication Details

Journal
International Journal of Clinical and Experimental Medicine Research
Published
2025-04-02
DOI
https://doi.org/10.26855/ijcemr.2025.03.010
Primary Topic
Pancreatic function and diabetes
Type
article
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article

Recent Advances in Diabetes Drug Therapy and Personalized Treatment Strategies

Wen Zhu, Qing Li
International Journal of Clinical and Experimental Medicine Research
Pancreatic function and diabetes
article

Recent Advances in Diabetes Drug Therapy and Personalized Treatment Strategies

Wen Zhu, Qing Li
article en

Abstract

Among the global health challenges, diabetes mellitus—an archetypal meta-bolic disorder—continues to increase in prevalence. According to the World Health Organization, the number of diagnosed patients has more than tripled over the past two decades, making it a significant cause of disability and death. The accelerated ageing of the population, the prevalence of sedentary behaviours, and the problem of over-nutrition are all contributing to the increase in the prevalence of diabetes mellitus. Although conventional interventions such as glucose-lowering medications, dietary modification, and physical exercise can alleviate symptoms, they are unable to overcome the inherent limitations of fluctuating efficacy and poor patient compliance. Modern medicine is undergoing a therapeutic paradigm shift: breakthroughs in genomics technology have made individualised medication possible, artificial intelligence-assisted diagnostic systems have dramatically improved the accuracy of disease typing, and real-time monitoring by wearable devices has provided data support for dynamic adjustments to treatment regimens. By integrating multi-omics data (including genomic features, metabolomic profiles, and the composition of intestinal flora) with patients' behavioural patterns, clinicians are able to build precise treatment models and achieve the transformation from “one person for every patient” to “tailor-made”. This individualised strategy, based on big data, not only optimises glycemic control but also significantly reduces the risk of long-term complications such as retinopathy and nephropathy. In this study, we focus on the cutting-edge advances in precision medicine for diabetes, and systematically discuss the key issues of biomarker screening, development of intelligent diagnostic and treatment systems, and optimisation of personalised intervention plans, with the aim of providing theoretical basis and practical guidance for the construction of the next-generation diabetes management system, and ultimately realising the leap-forward development from disease treatment to health management.

International Journal of Clinical and Experimental Medicine ResearchVol. 9(2)
Good health and well-being
Openalex Percentile: Top 70%
Pancreatic function and diabetes
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Recent Advances in Diabetes Drug Therapy and Personalized Treatment Strategies — Wen Zhu, Qing Li · International Journal of Clinical and Experimental Medicine Research (2025) | TGRS Research Map | TGRS