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Serum protein profiling reveals distinct patient clusters in giant cell arteritis.
- Source :
-
Rheumatology (Oxford, England) [Rheumatology (Oxford)] 2024 Oct 01; Vol. 63 (10), pp. 2887-2896. - Publication Year :
- 2024
-
Abstract
- Objectives: We investigated the potential of serum proteins for distinguishing clinical and molecular subtypes in patients with GCA.<br />Methods: Proximity extension assays were used to analyse 1463 proteins in serum samples from patients with new-onset GCA (n = 16) and patients who have achieved remission (n = 13). Unsupervised and supervised cluster analyses were performed.<br />Results: Unsupervised cluster analysis identified three distinct clusters based on the protein signature. Compared with cluster 2, patients of cluster 1 had fewer PMR symptoms, increased levels of macrophage migration inhibitory factor (MIF) and pronounced NF-κB, STAT5 and IL-1 signalling. The changes in serum proteins upon remission differed between cluster 1 and 2.Patients with cranial GCA were characterized by altered endothelial and Th17 signalling, whereas patients not responding to treatment within the GUSTO-trial showed increased Th1 and diminished B cell signalling. Patients with anterior ischaemic optic neuropathy displayed higher levels of CHI3L1 (YKL40) and MMP12, and reduced levels of TIMP3.<br />Conclusion: Protein profiling identified patient clusters in GCA with distinct proteomic features and therefore likely different pathophysiology. These unique proteomic footprints might lead to more targeted treatments in future.<br /> (© The Author(s) 2024. Published by Oxford University Press on behalf of the British Society for Rheumatology. All rights reserved. For permissions, please email: journals.permissions@oup.com.)
Details
- Language :
- English
- ISSN :
- 1462-0332
- Volume :
- 63
- Issue :
- 10
- Database :
- MEDLINE
- Journal :
- Rheumatology (Oxford, England)
- Publication Type :
- Academic Journal
- Accession number :
- 38323660
- Full Text :
- https://doi.org/10.1093/rheumatology/keae072