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MINI REVIEW article

Front. Immunol.
Sec. Systems Immunology
Volume 15 - 2024 | doi: 10.3389/fimmu.2024.1381272
This article is part of the Research Topic Systemic immune response through a multi-omic lens View all articles

An Overview of Multi-Omics Technologies in Rheumatoid Arthritis: Applications in Biomarker and Pathway Discovery

Provisionally accepted
  • 1 Clinical Medical College, Southwest Medical University, Luzhou, Sichuan Province, China
  • 2 Department of Sports Rehabilitation, Southwest Medical University, Luzhou, Sichuan Province, China
  • 3 Department of Geriatrics, Dazhou Central Hospital, DaZhou, China
  • 4 Orthopedics and Traumatology Department of TCM, Wenzhou TCM Hospital of Zhejiang Chinese Medical University, Wenzhou, Zhejiang Province, China
  • 5 Department of Specialty Medicine, Ohio University, Athens, Ohio, United States

The final, formatted version of the article will be published soon.

    Rheumatoid arthritis (RA) is a chronic inflammatory autoimmune disease with a complex pathological mechanism involving autoimmune response, local inflammation and bone destruction. Metabolic pathways play an important role in immune-related diseases and their immune responses. The pathogenesis of rheumatoid arthritis may be related to its metabolic dysregulation. Moreover, histological techniques, including genomics, transcriptomics, proteomics and metabolomics, provide powerful tools for comprehensive analysis of molecular changes in biological systems. The present study explores the molecular and metabolic mechanisms of RA, emphasising the central role of metabolic dysregulation in the RA disease process and highlighting the complexity of metabolic pathways, particularly metabolic remodelling in synovial tissues and its association with cytokine-mediated inflammation. This paper reveals the potential of histological techniques in identifying metabolically relevant therapeutic targets in RA; specifically, we summarise the genetic basis of RA and the dysregulated metabolic pathways, and explore their functional significance in the context of immune cell activation and differentiation. This study demonstrates the critical role of histological techniques in decoding the complex metabolic network of RA and discusses the integration of histological data with other types of biological data.

    Keywords: Rheumatoid arthritis, multi-omics integrative analysis, Autoimmune Diseases, Metabolism, Metabolic pathways, Dysregulation, therapeutic targets, Systems Immunology

    Received: 03 Feb 2024; Accepted: 12 Jul 2024.

    Copyright: © 2024 Chi, Gong, Su, Huang, Liu, Wang, Luo and Yang. 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:
    Hao Chi, Clinical Medical College, Southwest Medical University, Luzhou, Sichuan Province, China
    Qinglai Wang, Orthopedics and Traumatology Department of TCM, Wenzhou TCM Hospital of Zhejiang Chinese Medical University, Wenzhou, Zhejiang Province, China
    Xiufang Luo, Department of Geriatrics, Dazhou Central Hospital, DaZhou, China
    Guanhu Yang, Department of Specialty Medicine, Ohio University, Athens, 45701, Ohio, United States

    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.