The role of calprotectin in giant cell arteritis - from pathophysiology to possible clinical applications
Giant cell arteritis (GCA) is an immune-mediated vasculitis predominantly affecting individuals aged 50 years and older, with clinical manifestations often overlapping with polymyalgia rheumatica (PMR). Despite advances in imaging and the advent of novel steroid-sparing agents, such as tocilizumab,...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-08-01
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| Series: | Frontiers in Immunology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fimmu.2025.1608402/full |
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| Summary: | Giant cell arteritis (GCA) is an immune-mediated vasculitis predominantly affecting individuals aged 50 years and older, with clinical manifestations often overlapping with polymyalgia rheumatica (PMR). Despite advances in imaging and the advent of novel steroid-sparing agents, such as tocilizumab, challenges persist in accurately diagnosing and monitoring disease activity. Traditional inflammatory markers like C-reactive protein and erythrocyte sedimentation rate are frequently limited by their inability to fully capture disease dynamics, especially in patients receiving IL-6 inhibitors. In this context, calprotectin (CLP), a heterodimeric complex derived from S100A8/S100A9 proteins, has emerged as a promising biomarker due to its integral role in mediating inflammatory responses and its relative independence from IL-6 pathways. This review synthesizes current evidence on the biological functions of CLP in GCA pathogenesis, its potential utility in distinguishing between different clinical forms of the GCA-PMR spectrum, and its role in assessing disease activity and guiding therapeutic decisions. Furthermore, emerging CLP-targeted therapies in other inflammatory conditions may offer novel treatment avenues for GCA. Future research should focus on validating CLP as a predictive marker for relapse and refining its integration into clinical monitoring protocols to enhance patient outcomes. |
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| ISSN: | 1664-3224 |