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一种新型的干扰素状态两分系统可将自身免疫性疾病分类,并与临床特征相关联。

A novel two-score system for interferon status segregates autoimmune diseases and correlates with clinical features.

机构信息

National Institute of Health Research Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK.

Clinical Pathology Department, Faculty of Medicine, Mansoura University, Mansoura, Egypt.

出版信息

Sci Rep. 2018 Apr 11;8(1):5793. doi: 10.1038/s41598-018-24198-1.

Abstract

Measurement of type I interferon (IFN-I) has potential to diagnose and stratify autoimmune diseases, but existing results have been inconsistent. Interferon-stimulated-gene (ISG) based methods may be affected by the modularity of the ISG transcriptome, cell-specific expression, response to IFN-subtypes and bimodality of expression. We developed and clinically validated a 2-score system (IFN-Score-A and -B) using Factor Analysis of 31 ISGs measured by TaqMan selected from 3-IFN-annotated modules. We evaluated these scores using in-vitro IFN stimulation as well as in sorted cells then clinically validated in a cohort of 328 autoimmune disease patients and healthy controls. ISGs varied in response to IFN-subtypes and both scores varied between cell subsets. IFN-Score-A differentiated Systemic Lupus Erythematosus (SLE) from both Rheumatoid Arthritis (RA) and Healthy Controls (HC) (both p < 0.001), while IFN-Score-B differentiated SLE and RA from HC (both p < 0.001). In SLE, both scores were associated with cutaneous and hematological (all p < 0.05) but not musculoskeletal disease activity. Comparing with bimodal (IFN-high/low) classification, significant differences in IFN-scores were found between diagnostic groups within the IFN-high group. Our continuous 2-score system is more clinically relevant than a simple bimodal classification of IFN status. This system should allow improvement in diagnosis, stratification, and therapy in IFN-mediated autoimmunity.

摘要

测量 I 型干扰素(IFN-I)有潜力用于诊断和分层自身免疫性疾病,但现有结果并不一致。基于干扰素刺激基因(ISG)的方法可能受到 ISG 转录组的模块性、细胞特异性表达、对 IFN 亚型的反应以及表达的双峰性的影响。我们使用 TaqMan 测量的 31 个 ISG 的因子分析开发并临床验证了一个 2 分系统(IFN-Score-A 和 -B),这些 ISG 是从 3-IFN 注释模块中选择的。我们通过体外 IFN 刺激以及分选细胞评估了这些评分,然后在 328 名自身免疫性疾病患者和健康对照者的队列中进行了临床验证。ISG 对 IFN 亚型的反应不同,两个评分在细胞亚群之间也不同。IFN-Score-A 将系统性红斑狼疮(SLE)与类风湿关节炎(RA)和健康对照者(HC)区分开来(均 p<0.001),而 IFN-Score-B 将 SLE 和 RA 与 HC 区分开来(均 p<0.001)。在 SLE 中,两个评分都与皮肤和血液学(均 p<0.05)相关,但与肌肉骨骼疾病活动无关。与双峰(IFN-高/低)分类相比,在 IFN-高组中,诊断组之间的 IFN 评分存在显著差异。我们的连续 2 分系统比 IFN 状态的简单双峰分类更具临床相关性。该系统应能提高 IFN 介导的自身免疫性疾病的诊断、分层和治疗效果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/432e/5895784/1f853aa73c6a/41598_2018_24198_Fig1_HTML.jpg

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