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Review Article

Matrix Metalloproteinases; A Biomarker of Disease Activity and Prognosis in Spondyloarthritis: A Narrative Review

Author(s): Maroua Slouma, Sirine Bouzid, Rim Dhahri, Safa Rahmouni*, Noureddine Litaiem, Imen Gharsallah, Leila Metoui and Bassem Louzir

Volume 18, Issue 1, 2023

Published on: 14 March, 2022

Page: [31 - 38] Pages: 8

DOI: 10.2174/2772432817666220113112809

Price: $65

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Abstract

Background: Matrix metalloproteinases, as components of the proteolytic system, are deemed to be implicated in the pathogenesis and progression of several rheumatic diseases. Their role in spondyloarthritis has been investigated by several studies.

Objective: This article aims to review and summarize the current knowledge related to metalloproteinases in patients with spondyloarthritis.

Methods: To examine the association between matrix metalloproteinases and spondyloarthritis, we conducted a narrative review using a literature search in SCOPUS for English-language sources. The search included studies published from the database inception to December 2020.

Results: A total number of 74 articles were included. It was found that levels of matrix metalloproteinases 3 were higher in radiographic axial spondyloarthritis patients and seemed to play a role in the progression of joint damage. The levels of matrix metalloproteinases 1, 2, and 9 were upregulated in psoriatic arthritis patients compared to psoriasis and could identify psoriasis patients who would develop rheumatic manifestations. The levels of matrix metalloproteinases correlated significantly with disease activity in ankylosing spondylitis and decreased upon treatment with Tumor Necrosis Factor inhibitors (TNFi).

Conclusion: Excessive matrix metalloproteinases activity is associated with articular destruction. Their levels can reflect disease activity, structural damage, and response to TNFi in patients with spondyloarthritis. Nevertheless, further studies are needed to confirm these results.

Keywords: Spondyloarthritis, ankylosing spondylitis, psoriatic arthritis, biomarkers, matrix metalloproteinases, TNF alpha inhibitors.

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