Serum protein profiling reveals distinct patient clusters in giant cell arteritis.

Zingg, Flavia; Ryser, Fabio S; Gloor, Andrea D; Polysopoulos, Christos; Villiger, Peter M; Maurer, Britta; Christ, Lisa (2024). Serum protein profiling reveals distinct patient clusters in giant cell arteritis. Rheumatology, 63(10), pp. 2887-2896. Oxford University Press 10.1093/rheumatology/keae072

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OBJECTIVES

We investigated the potential of serum proteins to distinguish clinical and molecular subtypes in patients with giant cell arteritis (GCA).

METHODS

Proximity extension assays were used to analyse 1463 proteins in serum samples from patients with new-onset GCA (n = 16) and after achieving remission (n = 13). Unsupervised and supervised cluster analyses were performed.

RESULTS

Unsupervised cluster analysis identified three distinct clusters based on the protein signature. Compared with cluster 2, patients of cluster 1 had less polymyalgia rheumatica symptoms, increased levels of macrophage migration inhibitory factor (MIF) and pronounced NF-kB, STAT5 and interleukin-1 signalling. The changes in serum proteins upon remission differed between cluster 1 and 2.Patients with cranial GCA were characterised 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 ischemic optic neuropathy displayed higher levels of CHI3L1 (YKL40), MMP12 and reduced levels of TIMP3.

CONCLUSIONS

Protein profiling identifies 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.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Dermatology, Urology, Rheumatology, Nephrology, Osteoporosis (DURN) > Clinic of Rheumatology and Immunology
04 Faculty of Medicine > Department of General Internal Medicine (DAIM) > Clinic of General Internal Medicine

Graduate School:

Graduate School for Health Sciences (GHS)

UniBE Contributor:

Zingg, Flavia Martina, Ryser, Fabio Simon, Gloor, Andrea Daniela, Maurer, Britta, Christ, Lisa Alexandra

Subjects:

600 Technology > 610 Medicine & health

ISSN:

1462-0332

Publisher:

Oxford University Press

Language:

English

Submitter:

Pubmed Import

Date Deposited:

08 Feb 2024 15:02

Last Modified:

02 Oct 2024 00:12

Publisher DOI:

10.1093/rheumatology/keae072

PubMed ID:

38323660

Uncontrolled Keywords:

Biomarkers Giant Cell Arteritis Phenotype Proteomics Vasculitis

BORIS DOI:

10.48350/192674

URI:

https://boris.unibe.ch/id/eprint/192674

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