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Autoimmun Rev. 2017 Nov 28. pii: S1568-9972(17)30295-1. doi: 10.1016/j.autrev.2017.11.022. [Epub ahead of print]

A concise review of significantly modified serological biomarkers in giant cell arteritis, as detected by different methods.

Author information

1
Department of Rheumatology, University Medical Centre Ljubljana, Ljubljana SI-1000, Slovenia.
2
Department of Rheumatology, University Medical Centre Ljubljana, Ljubljana SI-1000, Slovenia; Faculty of Mathematics, Natural Science and Information Technologies, University of Primorska, SI-6000 Koper, Slovenia. Electronic address: snezna.sodin@kclj.si.
3
Department of Rheumatology, University Medical Centre Ljubljana, Ljubljana SI-1000, Slovenia; Faculty of Mathematics, Natural Science and Information Technologies, University of Primorska, SI-6000 Koper, Slovenia.
4
Institute of Computational Biotechnology, Graz University of Technology, 8010 Graz, Austria; OMICS Center Graz, BioTechMed Graz, 8010 Graz, Austria.
5
Department of Rheumatology, University Medical Centre Ljubljana, Ljubljana SI-1000, Slovenia; Faculty of Pharmacy, University of Ljubljana, Ljubljana SI-1000, Slovenia.
6
Department of Rheumatology, University Medical Centre Ljubljana, Ljubljana SI-1000, Slovenia; Faculty of Medicine, University of Ljubljana, Ljubljana SI-1000, Slovenia.

Abstract

Giant cell arteritis (GCA) is a primary systemic vasculitis present in subjects older than 50years with involvement of large- and medium-sized arteries. Early diagnosis for GCA is essential to prevent serious complications, such as permanent vision loss and/or cerebrovascular events. Elevated inflammatory cytokines, with acute phase and other proteins dominate large- and medium-sized arteries leading to stenosis or occlusion of arterial lumen. To date, there are no reliable serological markers for monitoring GCA. The review aims to provide concise overview of published GCA studies in order to: a) identify significantly changed serological biomarkers in GCA and compare the influences of techniques for marker evaluation and b) investigate most promising markers in GCA using analyte frequency and meta-analysis.

KEYWORDS:

Biomarkers; ELISA; Giant cell arteritis; Luminex multiarray; Serology

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