Tian Xinyi, Wang Liuqing, Zhong Liuting, Zhang Kaiqi, Ge Xiaolei, Luo Zhengrong, Zhai Xu, Liu Shaoyan
School of Acupuncture-Moxibustion and Tuina, Shandong University of Traditional Chinese Medicine, Jinan, China.
Institute of Chinese Medical History and Literatures, China Academy of Chinese Medical Sciences, Beijing, China.
Front Med (Lausanne). 2025 Mar 5;12:1555077. doi: 10.3389/fmed.2025.1555077. eCollection 2025.
Type 2 diabetes mellitus (T2DM) is a complex metabolic disorder characterized by pathophysiological mechanisms such as insulin resistance and -cell dysfunction. Recent advancements in T2DM research have unveiled intricate multi-level regulatory networks and contributing factors underlying this disease. The emergence of precision medicine has introduced new perspectives and methodologies for understanding T2DM pathophysiology. A recent study found that personalized treatment based on genetic, metabolic, and microbiome data can improve the management of T2DM by more than 30%. This perspective aims to summarize the progress in T2DM pathophysiological research from the past 5 years and to outline potential directions for future studies within the framework of precision medicine. T2DM develops through the interplay of factors such as gut microbiota, genetic and epigenetic modifications, metabolic processes, mitophagy, NK cell activity, and environmental influences. Future research should focus on understanding insulin resistance, -cell dysfunction, interactions between gut microbiota and their metabolites, and the regulatory roles of miRNA and genes. By leveraging artificial intelligence and integrating data from genomics, epigenomics, metabolomics, and microbiomics, researchers can gain deeper insights into the pathophysiological mechanisms and heterogeneity of T2DM. Additionally, exploring the combined effects and interactions of these factors may pave the way for more effective prevention strategies and personalized treatments for T2DM.
2型糖尿病(T2DM)是一种复杂的代谢紊乱疾病,其特征在于胰岛素抵抗和β细胞功能障碍等病理生理机制。T2DM研究的最新进展揭示了该疾病背后复杂的多层次调控网络和促成因素。精准医学的出现为理解T2DM病理生理学引入了新的观点和方法。最近的一项研究发现,基于基因、代谢和微生物组数据的个性化治疗可将T2DM的管理改善30%以上。本观点旨在总结过去5年T2DM病理生理学研究的进展,并在精准医学框架内概述未来研究的潜在方向。T2DM通过肠道微生物群、基因和表观遗传修饰、代谢过程、线粒体自噬、NK细胞活性和环境影响等因素的相互作用而发展。未来的研究应侧重于理解胰岛素抵抗、β细胞功能障碍、肠道微生物群与其代谢产物之间的相互作用以及miRNA和基因的调控作用。通过利用人工智能并整合来自基因组学、表观基因组学、代谢组学和微生物组学的数据,研究人员可以更深入地了解T2DM的病理生理机制和异质性。此外,探索这些因素的联合效应和相互作用可能为T2DM更有效的预防策略和个性化治疗铺平道路。