| Literature DB >> 31783160 |
Juliëtte Pouw1, Emmerik Leijten2, Timothy Radstake2, Marianne Boes3.
Abstract
Psoriatic arthritis (PsA) is a heterogeneous, chronic inflammatory musculoskeletal disorder that affects ~0.1% of the population. PsA may severely impact quality-of-life and constitutes a significant economic burden on our health care system. While early effective treatment is deemed essential to prevent irreversible joint damage and functional impairment, not all patients respond to the same disease modifying anti-rheumatic drugs (DMARDs). DMARD options for PsA are rapidly evolving, yet only 50-60% of patients show a satisfactory response to their first-line DMARD therapy. Hence, there is an urgent medical need to predict which patients benefit from a particular treatment. To this end, molecular biomarkers capable of predicting therapeutic response are currently being scrutinized in clinical studies, that together should build a framework for clinical guidelines that improve personalized targeted treatment. In this review new developments within the field of biomarker discovery for predicting therapeutic response to DMARDs in PsA are examined.Entities:
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Year: 2019 PMID: 31783160 DOI: 10.1016/j.clim.2019.108318
Source DB: PubMed Journal: Clin Immunol ISSN: 1521-6616 Impact factor: 3.969