REVIEW article
Front. Immunol.
Sec. Autoimmune and Autoinflammatory Disorders : Autoimmune Disorders
This article is part of the Research TopicCommunity Series in towards precision medicine for immune-mediated disorders: Advances in using big data and artificial intelligence to understand heterogeneity in inflammatory responses, Volume IIIView all 5 articles
Multi-Omics-Driven Biomarker Discovery in Autoimmune Diseases: A Comprehensive Review
Provisionally accepted
- Department of Clinical Laboratory, Honghui Hospital, Xi’an Jiaotong University, Xi’an, China
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Autoimmune diseases (ADs) exhibit complex heterogeneity and dynamic pathological mechanisms. Traditional biomarkers face numerous challenges in the diagnosis and treatment of ADs. However, the rapid development of multi-omics technologies and bioinformatics has not only deepened the understanding of the pathogenesis of ADs but also identified many novel diagnostic and therapeutic biomarkers with good diagnostic performance. These biomarkers are now beginning to overcome these limitations. This review systematically explores the discovery of novel biomarkers driven by multi-omics technologies such as genomics, epigenomics, transcriptomics, proteomics, metabolomics, and microbiomics, in response to the limitations of traditional biomarkers. It emphasizes the significant importance of discovering novel biomarkers through multi-omics in the diagnosis and treatment of ADs, and proposes a concept from omics analysis to solving clinical problems, providing new directions for the diagnosis and treatment of ADs.
Keywords: Autoimmune Diseases, biomarker, Multi -omics, machine learning, Network analysis
Received: 23 Jun 2025; Accepted: 24 Nov 2025.
Copyright: © 2025 Zhang, Xu, Xu, Jiang, Yu and Zhao. 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:
Yan Yu
Heping Zhao
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