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基于 NanoString 技术的干扰素评分验证方法的建立。

Development of a Validated Interferon Score Using NanoString Technology.

机构信息

1 Lawrence Shulman Scholar, Office of the Clinical Director, and Pediatric Translational Research Branch, NIAMS, NIH , Bethesda, Maryland.

2 Translational Autoinflammatory Disease Studies (TADS), NIAID, NIH , Bethesda, Maryland.

出版信息

J Interferon Cytokine Res. 2018 Apr;38(4):171-185. doi: 10.1089/jir.2017.0127.

Abstract

Chronic elevation of interferon (IFN)-response genes (IRG) in a subset of patients with systemic immune-dysregulatory diseases, including the Mendelian Type-I IFN-mediated autoinflammatory diseases and some autoimmune diseases suggest a causative role of excessive IFN signaling in the disease pathogenesis and as target for treatment. We developed a 28-IFN response gene scoring system to calculate either a standardized or geomean score by customizing a NanoString assay to quantify the expression of putative IRGs. The gene targets were selected in patients with the IFN-mediated disease chronic atypical neutrophilic dermatosis with lipodystrophy and elevated temperature (CANDLE) and an adult patient with chronic hepatitis C who received the first dose of pegylated interferon alpha-2a. The putative target genes were validated in patients with STING-associated vasculopathy with onset in infancy (SAVI), a monogenic autoinflammatory disease caused by gain-of-function mutations in TMEM173 that encodes the viral sensor stimulator of IFN genes (STING), and had low expression in clinically active patients with the monogenic IL-1-mediated autoinflammatory disease, neonatal-onset multisystem inflammatory disease (NOMID) and in healthy controls. The score calculation on the NanoString assay is rapid and showed high reproducibility and low intra-, and interassay variability. The utility of this 28-gene IFN score may be explored in the diagnosis of patients with presumed interferonopathies and as a biomarker to assess disease activity, long-term outcome, and treatment responses.

摘要

慢性系统性免疫失调疾病患者亚群中干扰素(IFN)反应基因(IRG)持续升高,包括孟德尔 I 型 IFN 介导的自身炎症性疾病和一些自身免疫性疾病,提示过度 IFN 信号在疾病发病机制中的因果作用,以及作为治疗靶点。我们开发了一个 28-IFN 反应基因评分系统,通过定制 NanoString 检测来量化假定的 IRG 表达,计算标准化或几何平均值评分。该基因靶点在干扰素介导的疾病慢性非典型中性粒细胞皮肤病伴脂肪营养不良和发热(CANDLE)患者和接受聚乙二醇干扰素 α-2a 首剂量治疗的慢性丙型肝炎成年患者中选择。假定的靶基因在 STING 相关性血管病伴婴儿期发病(SAVI)患者中得到验证,这是一种单基因自身炎症性疾病,由编码病毒传感器干扰素基因刺激物(STING)的 TMEM173 的功能获得性突变引起,在具有单基因 IL-1 介导的自身炎症性疾病、新生儿发病多系统炎症性疾病(NOMID)和健康对照的临床活动期患者中低表达。NanoString 检测的评分计算快速,显示出高重复性和低内、间试验变异性。这种 28 基因 IFN 评分的用途可能在疑似干扰素病患者的诊断中得到探索,并作为评估疾病活动、长期结局和治疗反应的生物标志物。

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