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REVIEW article
Front. Endocrinol.
Sec. Diabetes: Molecular Mechanisms
Volume 16 - 2025 | doi: 10.3389/fendo.2025.1520436
Multi-omics Approaches for Biomarker Discovery and Precision Diagnosis of Prediabetes
Provisionally accepted
Jielin Song 1
Chuanfu Wang 2 Tong Zhao 1 Yu Zhang 1 Jixiang Xing 1
Xuelian Zhao 1
Yunsha ZHANG 1 Zhaohui Zhang 3*- 1 Tianjin University of Traditional Chinese Medicine, Tianjin, China
- 2 Liangping District Hospital of Traditional Chinese Medicine, Chongqing, China
- 3 Second Affiliated Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, Hebei, China
Recent advancements in multi-omics technologies have provided unprecedented opportunities to identify biomarkers associated with prediabetes, offering novel insights into its diagnosis and management. This review synthesizes the latest findings on prediabetes from multiple omics domains, including genomics, epigenomics, transcriptomics, proteomics, metabolomics, microbiomics, and radiomics. We explore how these technologies elucidate the molecular and cellular mechanisms underlying prediabetes and analyze potential biomarkers with predictive value in disease progression. Integrating multi-omics data helps address the limitations of traditional diagnostic methods, enabling early detection, personalized interventions, and improved patient outcomes. However, challenges such as data integration, standardization, and clinical validation and translation remain to be resolved. Future research leveraging artificial intelligence and machine learning is expected to further enhance the predictive power of multi-omics technologies, contributing to the precision diagnosis and tailored management of prediabetes.
Keywords: prediabetes, multi-omics, biomarkers, diagnosis, Management, data integration
Received: 31 Oct 2024; Accepted: 24 Feb 2025.
Copyright: © 2025 Song, Wang, Zhao, Zhang, Xing, Zhao, ZHANG and Zhang. 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:
Zhaohui Zhang, Second Affiliated Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, Hebei, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.