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March 8, 2026Frontiers in Immunology4 citationsOpen Access

Immunometabolism in rheumatoid arthritis: mechanisms, biomarkers, and the path to precision medicine

XLXinyu LiuChangchun University of Chinese MedicineJWJiajia WangChangchun University of Chinese MedicineTLTong LouChangchun University of Chinese Medicine

Key Points

  • The aim is to explore immunometabolic mechanisms in rheumatoid arthritis and their implications for patient treatment.
  • Reviewed metabolic reprogramming in immune and stromal cells associated with RA
  • Analyzed high-dimensional biomarkers for patient stratification
  • Evaluated metabolic inhibitors and drug repurposing strategies
  • Identified key metabolic pathways involved in RA pathogenesis
  • Demonstrated the potential of blood-based biomarkers to predict treatment responses
  • Highlighted the need for individualized treatment based on immunometabolic profiling

Abstract

Synovitis and gradual joint degeneration are hallmarks of rheumatoid arthritis (RA), a chronic inflammatory illness. To sustain inflammation and tissue damage, pathogenic immune and stromal cells undergo specific metabolic reprogramming that alters glycolysis, oxidative phosphorylation, and lipid metabolism. This pathology is driven by immunometabolic dysregulation, according to new research. This review summarizes the current understanding of cell-type-specific immunometabolic dysregulation in RA, with particular attention to T cells, macrophages, B cells, and fibroblast-like synoviocytes. We assess how high-dimensional biomarkers, such as blood-based metabolomic, transcriptomic, and proteomic signatures, and synovial molecular pathotypes can be used to stratify patients and predict how well biologic and targeted treatments will work. We also reviewed treatment approaches targeting immunometabolic pathways, including new metabolic inhibitors and drug repurposing, such as metformin. To facilitate a more individualized and efficient RA treatment, we conclude by offering a clinically applicable paradigm to integrate immunometabolic profiling into precision medicine.

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Cite This Study

Liu et al. (2026) studied this question.

synapsesocial.com/papers/69ada804bc08abd80d5bb323https://doi.org/10.3389/fimmu.2026.1691946
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