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过渡性B细胞中CD38、CD81和BAFFR的联合表达可区分活动性与非活动性系统性红斑狼疮。

CD38, CD81 and BAFFR combined expression by transitional B cells distinguishes active from inactive systemic lupus erythematosus.

作者信息

Henriques Ana, Silva Isabel, Inês Luís, Souto-Carneiro M Margarida, Pais M Luísa, Trindade Hélder, da Silva José António Pereira, Paiva Artur

机构信息

Blood and Transplantation Center of Coimbra, Portuguese Institute of Blood and Transplantation, Coimbra, Portugal.

Faculty of Medicine, University of Coimbra, Coimbra, Portugal.

出版信息

Clin Exp Med. 2016 May;16(2):227-32. doi: 10.1007/s10238-015-0348-3. Epub 2015 Apr 18.

Abstract

In view of its heterogeneous presentation and unpredictable course, clinical management of systemic lupus erythematosus (SLE) is difficult. There is a need for biomarkers and diagnostic aids to monitor SLE disease activity and severity prior to, during and after treatment. We undertook this study to search for unique phenotypic patterns in each peripheral blood (PB) B cell subset, capable of distinguishing SLE patients with inactive disease versus SLE patients with active disease versus controls by using an automated population separator (APS) visualization strategy. PB was collected from 41 SLE patients and 28 age- and gender-matched controls. We analyzed the cell surface markers (in a tube CD20/CD27/CD19/CD45/CD38/CD81/BAFFR combination) expression on PB B cell subsets using principal component analysis, implemented in the APS software tool. Overall, our analysis indicates that active SLE can be distinguished from inactive SLE on the basis of a single tube analysis, focused on the decreased expression of CD38, CD81 and BAFFR in transitional B cells. The cluster analysis of immunophenotypic profiles of B cell subsets highlighted disease-specific abnormalities on transitional B cells that emerge as promising surrogate markers for disease activity. Further validation is needed with larger samples and prospective follow-up of patients.

摘要

鉴于系统性红斑狼疮(SLE)临床表现的异质性和病程的不可预测性,其临床管理颇具难度。在治疗前、治疗期间及治疗后,需要生物标志物和诊断辅助手段来监测SLE的疾病活动度和严重程度。我们开展此项研究,旨在通过自动细胞分选仪(APS)可视化策略,寻找外周血(PB)各B细胞亚群中能够区分疾病非活动期SLE患者、疾病活动期SLE患者及健康对照的独特表型模式。收集了41例SLE患者及28例年龄和性别匹配的对照者的外周血。我们使用APS软件工具中实施的主成分分析,分析了外周血B细胞亚群上细胞表面标志物(管内CD20/CD27/CD19/CD45/CD38/CD81/BAFFR组合)的表达情况。总体而言,我们的分析表明,基于针对过渡性B细胞中CD38、CD81和BAFFR表达降低的单管分析,可区分活动期SLE与非活动期SLE。B细胞亚群免疫表型谱的聚类分析突出了过渡性B细胞上的疾病特异性异常,这些异常有望成为疾病活动度的替代标志物。需要更大样本量及对患者进行前瞻性随访以进一步验证。

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