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Correlation of serum protein biomarkers with disease activity in psoriatic arthritis.
Expert Review of Clinical Immunology ( IF 4.4 ) Pub Date : 2020-02-24 , DOI: 10.1080/1744666x.2020.1729129
T A Boyd 1 , P S Eastman 2 , D H Huynh 1 , F Qureshi 2 , E H Sasso 2 , R Bolce 2 , J Temple 1 , J Hillman 1 , D L Boyle 1 , A Kavanaugh 1
Affiliation  

Objective: To assess the correlation of serum protein biomarkers with disease activity across different domains of psoriatic arthritis (PsA).Material and methods: A cross-sectional cohort of 45 adult patients with PsA fulfilling the classification for psoriatic arthritis (CASPAR) criteria was recruited from University of California San Diego (UCSD) Arthritis Clinics. Clinical data and serum samples were collected and serum was analyzed for protein biomarkers hypothesized to be relevant to disease activity in PsA. Correlations were evaluated for clinical disease activity measures across disease domains.Results: Biomarkers with the highest correlation to the composite indices and disease domains were SAA, IL-6, YKL-40, and ICAM-1. In addition, several biomarkers were moderately correlated with individual composite indices and/or disease domains. Low or no correlation was observed with some biomarkers, e.g. MMP-3, MMP-1, EGF, VEGF, and IL-6R. In contrast, the correlation of all biomarkers with certain disease domains was low; specifically, pain, percent body surface area of psoriasis, and patient global assessment. The multi-biomarker disease activity score (MBDA) developed for rheumatoid arthritis (RA) showed high correlations with most composite indices and some disease domains in PsA.Conclusions: These data suggest biomarker analysis can reflect disease activity across disease domains in PsA. Certain domains would likely benefit from the evaluation of additional biomarkers.

中文翻译:

银屑病关节炎患者血清蛋白生物标志物与疾病活动的相关性。

目的:评估血清蛋白生物标志物与银屑病关节炎(PsA)不同领域疾病活动之间的相关性。材料和方法:纳入符合银屑病关节炎(CASPAR)标准分类的45例成年PsA患者的横断队列来自加利福尼亚大学圣地亚哥分校(UCSD)关节炎诊所。收集临床数据和血清样本,并分析血清中的蛋白质生物标志物,这些蛋白质标志物被认为与PsA中的疾病活动有关。结果:与综合指数和疾病域相关性最高的生物标记是SAA,IL-6,YKL-40和ICAM-1。此外,一些生物标志物与个体综合指数和/或疾病域具有中等相关性。与某些生物标记物,例如MMP-3,MMP-1,EGF,VEGF和IL-6R,相关性较低或没有相关性。相反,所有生物标志物与某些疾病域的相关性很低。具体来说,是疼痛,牛皮癣的身体表面积百分比以及患者的整体评估。针对类风湿关节炎(RA)制定的多生物标志物疾病活动评分(MBDA)与PsA中的大多数综合指标和某些疾病域高度相关。结论:这些数据表明,生物标志物分析可以反映PsA中跨疾病域的疾病活动。某些领域可能会受益于其他生物标志物的评估。牛皮癣的身体表面积百分比以及患者总体评估。针对类风湿关节炎(RA)制定的多生物标志物疾病活动评分(MBDA)与PsA中的大多数综合指标和某些疾病域高度相关。结论:这些数据表明,生物标志物分析可以反映PsA中跨疾病域的疾病活动。某些领域可能会受益于其他生物标志物的评估。牛皮癣的身体表面积百分比以及患者总体评估。针对类风湿关节炎(RA)制定的多生物标志物疾病活动评分(MBDA)与PsA中的大多数综合指标和某些疾病域高度相关。结论:这些数据表明,生物标志物分析可以反映PsA中跨疾病域的疾病活动。某些领域可能会受益于其他生物标志物的评估。
更新日期:2020-04-20
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