Review
Copyright ©The Author(s) 2025. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Diabetes. Jul 15, 2025; 16(7): 106218
Published online Jul 15, 2025. doi: 10.4239/wjd.v16.i7.106218
Illuminating diabetes via multi-omics: Unraveling disease mechanisms and advancing personalized therapy
Chen-Meng Song, Ta-Hui Lin, Hou-Tan Huang, Jeng-Yuan Yao
Chen-Meng Song, Ta-Hui Lin, Jeng-Yuan Yao, School of Public Health, Fujian Medical University, Fuzhou 350122, Fujian Province, China
Ta-Hui Lin, Hou-Tan Huang, Jeng-Yuan Yao, Key Laboratory of Functional and Clinical Translational Medicine, Fujian Province University, Xiamen Medical College, Xiamen 361023, Fujian Province, China
Co-first authors: Chen-Meng Song and Ta-Hui Lin.
Author contributions: Song CM and Lin TH contributed equally; Yao JY supervised all aspects, made critical revisions, and is responsible for correspondence; Song CM, Lin TH, and Huang HT carried out the literature review, interpreted the data, and drafted the original manuscript; All authors prepared the draft and approved the submitted version.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Jeng-Yuan Yao, PhD, Associate Professor, Key Laboratory of Functional and Clinical Translational Medicine, Fujian Province University, Xiamen Medical College, No. 1999 Guankou Middle Road, Jimei District, Xiamen 361023, Fujian Province, China. 201500080004@xmmc.edu.cn
Received: February 20, 2025
Revised: April 8, 2025
Accepted: May 27, 2025
Published online: July 15, 2025
Processing time: 146 Days and 7.2 Hours
Core Tip

Core Tip: Metabolomics offers key insights into the distinct metabolic pathways of each diabetes mellitus subtype. By integrating multiple omics layers-genomic, transcriptomic, proteomic, and microbiomic - researchers can refine disease classification, identify novel biomarkers, and develop personalized interventions, substantially enhancing the efficacy of diabetes management.