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使用新型血清生物标志物区分无银屑病关节炎的银屑病关节炎与银屑病。

Differentiating Psoriatic Arthritis From Psoriasis Without Psoriatic Arthritis Using Novel Serum Biomarkers.

机构信息

University of Toronto, Toronto, Ontario, Canada.

University of Waterloo, Waterloo, Ontario, Canada.

出版信息

Arthritis Care Res (Hoboken). 2018 Mar;70(3):454-461. doi: 10.1002/acr.23298.

Abstract

OBJECTIVE

There is a high prevalence of undiagnosed psoriatic arthritis (PsA) in patients with psoriasis. Identifying soluble biomarkers for PsA will help in screening psoriasis patients for appropriate rheumatology referral. We therefore aimed to investigate whether serum levels of novel markers previously discovered by quantitative mass spectrometric analysis of synovial fluid and skin biopsies performs better than the C-reactive protein (CRP) level in differentiating PsA patients from those with psoriasis without PsA (PsC).

METHODS

In this case-control study, serum samples were obtained from 100 subjects with PsA, 100 with PsC, and 100 healthy controls. Patients with PsA and PsC were group matched for age, sex, psoriasis duration, and Psoriasis Area and Severity Index and were not currently receiving biologic treatment. Using enzyme-linked immunosorbent assay, 4 high-priority markers (Mac-2-binding protein [M2BP], CD5-like protein [CD5L], myeloperoxidase [MPO], and integrin β5 [ITGβ5]), as well as previously established markers (matrix metalloproteinase 3 [MMP-3] and CRP level) were assayed. Data were analyzed using logistic regression. Receiver operating characteristic (ROC) curves were plotted.

RESULTS

In comparisons to controls, CD5L, ITGβ5, M2BP, MPO, MMP-3, and CRP level were independently associated with PsA, while only CD5L, M2BP, and MPO were independently associated with PsC alone. In comparisons to PsC, ITGβ5, M2BP, and CRP level were independently associated with PsA. ROC analysis of this model shows an area under the curve (AUC) of 0.85 (95% confidence interval [95% CI] 0.80-0.90). The model that included CRP level alone had an AUC of 0.71 (95% CI 0.64-0.78).

CONCLUSION

CD5L, ITGβ5, M2BP, MPO, MMP-3, and CRP level are markers for PsA. The combination of ITGβ5, M2BP, and CRP level differentiates PsA from PsC, and performs better than CRP level alone.

摘要

目的

银屑病患者中未确诊的银屑病关节炎(PsA)患病率较高。鉴定出用于 PsA 的可溶性生物标志物将有助于对银屑病患者进行适当的风湿病转诊。因此,我们旨在研究通过定量质谱分析滑膜液和皮肤活检发现的新型标志物的血清水平是否优于 C 反应蛋白(CRP)水平,用于区分 PsA 患者和无 PsA 的银屑病患者(PsC)。

方法

在这项病例对照研究中,我们从 100 名 PsA 患者、100 名 PsC 患者和 100 名健康对照者中获得了血清样本。PsA 和 PsC 患者在年龄、性别、银屑病病程和银屑病面积和严重程度指数方面进行了组间匹配,并且当前未接受生物治疗。我们使用酶联免疫吸附试验检测了 4 种高优先级标志物(Mac-2 结合蛋白[M2BP]、CD5 样蛋白[CD5L]、髓过氧化物酶[MPO]和整合素β5[ITGβ5])以及先前建立的标志物(基质金属蛋白酶 3[MMP-3]和 CRP 水平)。使用逻辑回归分析数据。绘制了接收器工作特征(ROC)曲线。

结果

与对照组相比,CD5L、ITGβ5、M2BP、MPO、MMP-3 和 CRP 水平与 PsA 独立相关,而仅 CD5L、M2BP 和 MPO 与 PsC 独立相关。与 PsC 相比,ITGβ5、M2BP 和 CRP 水平与 PsA 独立相关。该模型的 ROC 分析显示曲线下面积(AUC)为 0.85(95%置信区间[95%CI]为 0.80-0.90)。仅包括 CRP 水平的模型 AUC 为 0.71(95%CI 为 0.64-0.78)。

结论

CD5L、ITGβ5、M2BP、MPO、MMP-3 和 CRP 水平是 PsA 的标志物。ITGβ5、M2BP 和 CRP 水平的组合可将 PsA 与 PsC 区分开来,并且优于单独使用 CRP 水平。

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