Makos, A, Kuiper, JH, Kehoe, O and Amarasena, R (2022) Psoriatic Arthritis: Review of potential biomarkers predicting response to TNF inhibitors. Inflammopharmacology: experimental and clinical studies. ISSN 0925-4692 (In Press)

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Abstract

Psoriatic arthritis (PsA) is a chronic and painful inflammatory immune-mediated disease. It affects up to 40% of people with psoriasis and it is associated with several comorbidities such as obesity, diabetes, metabolic syndrome and hypertension. PsA is difficult to diagnose because of its diverse symptoms, namely axial and peripheral arthritis, enthesitis, dactylitis, skin changes and nail dystrophy. Different drugs exist to treat the inflammation and pain. When patients do not respond to conventional drugs, they are treated with biologic drugs. Tumor Necrosis Factor inhibitors (TNFi’s) are commonly given as the first biologic drug but beside being expensive they also lack efficacy in 50% of patients. A biomarker predicting individual patient’s response to TNFi would help treating them earlier with an appropriate biologic drug. This study aimed to review the literature to identify potential biomarkers that should be investigated for their predictive ability. Several such biomarkers were identified, namely transmembrane TNFα (tmTNF) Human Serum Albumin (HSA) and its half-life receptor, the neonatal Fc receptor (FcRn) which is also involved in IgG lifespan; calprotectin, High Mobility Group Protein B1 (HMGB1) and Advanced Glycation Endproducts (AGEs) whose overexpression lead to excessive production of pro-inflammatory cytokines; lymphotoxin α (LTα) which induces inflammation by binding to TNF receptor (TNFR); and T helper 17 (Th17) cells which induce inflammation by IL-17A secretion.

Item Type: Article
Additional Information: The final version of this article and all relevant information related to it, including copyrights, can be found on the publisher website.
Subjects: R Medicine > RC Internal medicine > RC925 Diseases of the musculoskeletal system
Depositing User: Symplectic
Date Deposited: 04 Nov 2022 13:10
Last Modified: 09 Nov 2022 01:30
URI: https://eprints.keele.ac.uk/id/eprint/11642

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