与银屑病关节炎疾病表现相关的生物标志物

Juneblad Kristina, R. Solbritt, Alenius Gerd-Marie
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引用次数: 3

摘要

背景:银屑病关节炎(PsA)是一种复杂的疾病,缺乏可测量的实验室参数,需要诊断和预后工具来应对早期诊断和疾病严重程度评估的挑战。目的:分析可溶性生物标志物是否能区分精神分裂症的疾病表型。方法:本横断面研究包括174名已确诊疾病的患者和30名健康对照。研究了39种不同的血清学生物标志物与疾病活动、疾病表现以及与对照组的比较。除了标准统计方法外,还使用正交偏最小二乘判别分析(OPLS-DA)来研究PsA的不同表型。结果:银屑病关节炎活性与CRP(pc=0.0008)、IL-6(pc=0.001)、IL-16(pc=0.007)、钙卫蛋白(pc=0.014)、IL-12/IL-23p40(pc=0.02)和ICAM-1(pc=0.045)显著相关,IL-16(pc=0.044)、MIP-1β(pc=0.039)和多关节炎与IL-6(pc=0.0006)、SAA(pc=0.009)、CRP(pc=0.012)和IL-8(pc=0.04)相关,尽管OPLSDA无法从统计学上区分不同的表型。PsA患者在任何时候都服用bDMARD(TNFβ(pc=0.0001)、TNFα(pc=0.0003)、钙卫蛋白(pc=0.0009)、CRP(pc=0.016)和较低水平的Tie-2(pc=0.027))。与健康对照组相比,没有发现显著差异。结论:在本研究中,炎症/促炎生物标志物与银屑病的不同疾病表型相关,但由于OPLS-DA分析无法区分各组,因此各种生物标志物的影响并不明显。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Biomarkers in Relation to Disease Manifestations in Psoriatic Arthritis
Background: In psoriatic arthritis (PsA), a complex disease with a lack of measurable laboratory parameters, there is a need for diagnostic and prognostic tools to meet the challenge of early diagnosis and assessment of disease severity. Objective: To analyze whether soluble biomarkers could discriminate between disease phenotypes in PsA. Methods: Two-hundred and seventy-four patients with established disease and 30 healthy controls were included in this cross-sectional study. Thirty-nine different serological biomarkers were investigated in relation to disease activity, disease manifestations and in comparison with controls. In addition to standard statistical methods, orthogonal partial least squares discriminant analysis (OPLS-DA) was used to investigate different phenotypes of PsA. Results: Psoriatic arthritis activity was significantly associated with CRP (pc = 0.0008), IL-6 (pc = 0.001), IL-16 (pc = 0.007), calprotectin (pc = 0.014), IL-12/IL-23p40 (pc = 0.02), and ICAM-1 (pc = 0.045). Different PsA disease phenotypes were associated with different biomarkers, e.g., axial disease (with or without peripheral disease) was associated with IL-6 (pc = 0.044), IL-16 (pc = 0.044), MIP-1β (pc = 0.039) and polyarthritis was associated with IL-6 (pc = 0.0006), SAA (pc = 0.009), CRP (pc = 0.012) and IL-8 (pc = 0.04), although it was not possible to statistically separate the different phenotypes with OPLSDA. An association was also seen in patients with PsA who, at any time had been prescribed bDMARD, (TNFβ (pc = 0.0001), TNFα (pc = 0.0003), calprotectin (pc = 0.0009), CRP (pc = 0.016) and lower levels of Tie-2 (pc = 0.027)). No significant differences were detected when PsA patients were compared with healthy controls. Conclusions: In this study, inflammatory/pro-inflammatory biomarkers were associated with different disease phenotypes in PsA, however the impact of the various biomarkers is not evident as OPLS-DA analyses could not separate between groups.
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