REVIEW article
Front. Med.
Sec. Precision Medicine
This article is part of the Research TopicPrecision Diagnostics and Prevention in Bone and Joint Diseases: From Molecular Mechanisms to Clinical TranslationView all 3 articles
Advancing Precision Medicine in Axial Spondyloarthritis: Insights from Multi-Omics Approaches
Provisionally accepted
- 1Mianyang Central Hospital, Mianyang, China
- 2Affiliated Hospital of North Sichuan Medical College, Nanchong, China
- 3Shanghai Changzheng Hospital, Shanghai, China
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Axial Spondyloarthritis (AxSpA) is a chronic inflammatory disease influenced by genetic, immune, metabolic, and environmental factors, significantly impacting patients' quality of life. Recent advancements in multi-omics technologies—such as genomics, transcriptomics, proteomics, and metabolomics—provide new insights into AxSpA pathogenesis and precision medicine. These technologies reveal genetic susceptibility, immune responses, and metabolic alterations, uncovering potential biomarkers and therapeutic targets. This review explores multi-omics applications in understanding AxSpA mechanisms, developing targeted therapies, and advancing precision diagnostics. It also addresses challenges in data integration and highlights the role of artificial intelligence (AI) in enhancing analysis precision and constructing dynamic disease networks. Combining AI with multi-omics could revolutionize diagnosis, personalized treatment, and clinical translation for AxSpA, driving the future of precision medicine.
Keywords: Axial spondyloarthritis, Multi-omics integration, precision medicine, artificial intelligence, Disease biomarker
Received: 29 Sep 2025; Accepted: 27 Oct 2025.
Copyright: © 2025 Ni, Zhang, Wu, Xu and Qing. 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:
Huji Xu, huji_xu@smmu.edu.cn
Yu-Feng Qing, qingyufengqq@163.com
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.