MINI REVIEW article
Front. Endocrinol.
Sec. Diabetes: Molecular Mechanisms
Volume 16 - 2025 | doi: 10.3389/fendo.2025.1582963
This article is part of the Research TopicInflammatory biomarkers in Type 1 diabetesView all articles
Recent Advances in Early Diagnosis and Treatment of T1D with miRNAs
Provisionally accepted
- Key Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province，Shulan International Medical College，Zhejiang Shuren University, Hangzhou, China
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Type 1 diabetes (T1D) is an autoimmune disease characterized by T cell-mediated destruction of pancreatic β-cells and is one of the most common chronic diseases in adults and children. In recent years, the incidence of T1D has been increasing worldwide. Currently, the diagnosis of T1D relies on clinical manifestations and autoantibody detection, with a lack of early predictive biomarkers.MicroRNAs (miRNAs), as crucial post-transcriptional regulatory factors, which are involved in various biological processes, including cell division, proliferation, differentiation, development, and metabolism. Additionally, miRNAs participate in the regulation of inflammatory complications in T1D, and their aberrant expression is closely associated with the disease. The stability of miRNAs makes them potential candidates for early diagnostic biomarkers and therapeutic targets in T1D. This paper discusses the pathogenesis of T1D and the potential applications of miRNAs in early diagnosis and interventional therapy. It provides references for advancing precision diagnosis and personalized treatment strategies through more profound miRNA research in the future.
Keywords: T1D, miRNAs, biomarkers, diagnosis, complications, Treatment
Received: 25 Feb 2025; Accepted: 22 Apr 2025.
Copyright: © 2025 Zhang, Qiu, Liu, Hu, Chen, Xu, Chen, Yuan and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Xiaoping Li, Key Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province，Shulan International Medical College，Zhejiang Shuren University, Hangzhou, China
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