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循环干扰素调节因子-5 水平与系统性红斑狼疮患者亚群相关。

Circulating Levels of Interferon Regulatory Factor-5 Associates With Subgroups of Systemic Lupus Erythematosus Patients.

机构信息

Division of Rheumatology, Department of Medicine Solna, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden.

SciLifeLab, Division of Affinity Proteomics, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden.

出版信息

Front Immunol. 2019 May 17;10:1029. doi: 10.3389/fimmu.2019.01029. eCollection 2019.

DOI:10.3389/fimmu.2019.01029
PMID:31156624
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6533644/
Abstract

Systemic Lupus Erythematosus (SLE) is a heterogeneous autoimmune disease, which currently lacks specific diagnostic biomarkers. The diversity within the patients obstructs clinical trials but may also reflect differences in underlying pathogenesis. Our objective was to obtain protein profiles to identify potential general biomarkers of SLE and to determine molecular subgroups within SLE for patient stratification. Plasma samples from a cross-sectional study of well-characterized SLE patients ( = 379) and matched population controls ( = 316) were analyzed by antibody suspension bead array targeting 281 proteins. To investigate the differences between SLE and controls, Mann-Whitney -test with Bonferroni correction, generalized linear modeling and receiver operating characteristics (ROC) analysis were performed. K-means clustering was used to identify molecular SLE subgroups. We identified Interferon regulating factor 5 (IRF5), solute carrier family 22 member 2 (SLC22A2) and S100 calcium binding protein A12 (S100A12) as the three proteins with the largest fold change between SLE patients and controls (SLE/Control = 1.4, 1.4, and 1.2 respectively). The lowest -values comparing SLE patients and controls were obtained for S100A12, Matrix metalloproteinase-1 (MMP1) and SLC22A2 (p = 3 × 10, 3 × 10, and 5 × 10 respectively). In a set of 15 potential biomarkers differentiating SLE patients and controls, two of the proteins were transcription factors, i.e., IRF5 and SAM pointed domain containing ETS transcription factor (SPDEF). IRF5 was up-regulated while SPDEF was found to be down-regulated in SLE patients. Unsupervised clustering of all investigated proteins identified three molecular subgroups among SLE patients, characterized by (1) high levels of rheumatoid factor-IgM, (2) low IRF5, and (3) high IRF5. IRF5 expressing microparticles were analyzed by flow cytometry in a subset of patients to confirm the presence of IRF5 in plasma and detection of extracellular IRF5 was further confirmed by immunoprecipitation-mass spectrometry (IP-MS). Interestingly IRF5, a known genetic risk factor for SLE, was detected extracellularly and suggested by unsupervised clustering analysis to differentiate between SLE subgroups. Our results imply a set of circulating molecules as markers of possible pathogenic importance in SLE. We believe that these findings could be of relevance for understanding the pathogenesis and diversity of SLE, as well as for selection of patients in clinical trials.

摘要

系统性红斑狼疮 (SLE) 是一种异质性自身免疫性疾病,目前缺乏特异性诊断生物标志物。患者的多样性阻碍了临床试验,但也可能反映了潜在发病机制的差异。我们的目标是获得蛋白质谱,以鉴定 SLE 的潜在一般生物标志物,并确定 SLE 内的分子亚组以进行患者分层。通过针对 281 种蛋白质的抗体悬浮珠阵列分析了来自特征明确的 SLE 患者(= 379)和匹配人群对照(= 316)的横断面研究的血浆样本。为了研究 SLE 和对照组之间的差异,进行了 Mann-Whitney -检验,Bonferroni 校正,广义线性模型和接收者操作特征(ROC)分析。使用 K-均值聚类来识别分子 SLE 亚组。我们确定干扰素调节因子 5(IRF5),溶质载体家族 22 成员 2(SLC22A2)和 S100 钙结合蛋白 A12(S100A12)为 SLE 患者与对照组之间差异最大的三种蛋白质(SLE/Control = 1.4、1.4 和 1.2)。比较 SLE 患者和对照组时,S100A12、基质金属蛋白酶 1(MMP1)和 SLC22A2 的最低 -值(p = 3×10、3×10 和 5×10 )。在一组 15 种区分 SLE 患者和对照组的潜在生物标志物中,有两种蛋白质是转录因子,即 IRF5 和 SAM 点结构域包含 ETS 转录因子(SPDEF)。IRF5 上调,而 SPDEF 在 SLE 患者中下调。对所有研究蛋白质的无监督聚类在 SLE 患者中鉴定出三个分子亚组,其特征在于(1)类风湿因子-IgM 水平高,(2)IRF5 水平低,(3)IRF5 水平高。通过流式细胞术分析了亚组患者的 IRF5 表达微粒体,以确认 IRF5 在血浆中的存在,并通过免疫沉淀 -质谱(IP-MS)进一步证实了细胞外 IRF5 的检测。有趣的是,SLE 的已知遗传风险因子 IRF5 被检测到细胞外,并且通过无监督聚类分析提示它可区分 SLE 亚组。我们的结果暗示了一组循环分子作为 SLE 中可能具有致病意义的标志物。我们相信,这些发现可能与理解 SLE 的发病机制和多样性以及临床试验中患者的选择有关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/096e/6533644/65cc1e05322d/fimmu-10-01029-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/096e/6533644/c7552725a79c/fimmu-10-01029-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/096e/6533644/bb1d4a29e8f6/fimmu-10-01029-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/096e/6533644/178765bb3771/fimmu-10-01029-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/096e/6533644/5fb04c49cec8/fimmu-10-01029-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/096e/6533644/2de3f04f7e4e/fimmu-10-01029-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/096e/6533644/65cc1e05322d/fimmu-10-01029-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/096e/6533644/c7552725a79c/fimmu-10-01029-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/096e/6533644/bb1d4a29e8f6/fimmu-10-01029-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/096e/6533644/178765bb3771/fimmu-10-01029-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/096e/6533644/5fb04c49cec8/fimmu-10-01029-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/096e/6533644/2de3f04f7e4e/fimmu-10-01029-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/096e/6533644/65cc1e05322d/fimmu-10-01029-g0006.jpg

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