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自身免疫性疾病中 B 细胞的体细胞超突变和抗原驱动选择发生改变。

Somatic hypermutation and antigen-driven selection of B cells are altered in autoimmune diseases.

机构信息

The Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat-Gan 52900, Israel.

出版信息

J Autoimmun. 2010 Dec;35(4):325-35. doi: 10.1016/j.jaut.2010.07.004. Epub 2010 Aug 19.

Abstract

B cells have been found to play a critical role in the pathogenesis of several autoimmune (AI) diseases. A common feature amongst many AI diseases is the formation of ectopic germinal centers (GC) within the afflicted tissue or organ, in which activated B cells expand and undergo somatic hypermutation (SHM) and antigen-driven selection on their immunoglobulin variable region (IgV) genes. However, it is not yet clear whether these processes occurring in ectopic GCs are identical to those in normal GCs. The analysis of IgV mutations has aided in revealing many aspects concerning B cell expansion, mutation and selection in GC reactions. We have applied several mutation analysis methods, based on lineage tree construction, to a large set of data, containing IgV productive and non-productive heavy and light chain sequences from several different tissues, to examine three of the most profoundly studied AI diseases - Rheumatoid Arthritis (RA), Multiple Sclerosis (MS) and Sjögren's Syndrome (SS). We have found that RA and MS sequences exhibited normal mutation spectra and targeting motifs, but a stricter selection compared to normal controls, which was more apparent in RA. SS sequence analysis results deviated from normal controls in both mutation spectra and indications of selection, also showing differences between light and heavy chain IgV and between different tissues. The differences revealed between AI diseases and normal control mutation patterns may result from the different microenvironmental influences to which ectopic GCs are exposed, relative to those in normal secondary lymphoid tissues.

摘要

B 细胞被发现在几种自身免疫性(AI)疾病的发病机制中起着关键作用。许多 AI 疾病的一个共同特征是在受影响的组织或器官内形成异位生发中心(GC),其中激活的 B 细胞扩增,并在其免疫球蛋白可变区(IgV)基因上经历体细胞超突变(SHM)和抗原驱动选择。然而,目前尚不清楚这些在异位 GC 中发生的过程是否与正常 GC 中的过程相同。对 IgV 突变的分析有助于揭示 GC 反应中 B 细胞扩增、突变和选择的许多方面。我们应用了几种基于谱系树构建的突变分析方法,对一组包含来自几种不同组织的 IgV 有活性和无活性重链和轻链序列的大数据集进行了分析,以研究三种研究最深入的 AI 疾病 - 类风湿关节炎(RA)、多发性硬化症(MS)和干燥综合征(SS)。我们发现 RA 和 MS 序列表现出正常的突变谱和靶向基序,但与正常对照相比,选择更为严格,RA 更为明显。SS 序列分析结果在突变谱和选择迹象上均偏离正常对照,轻链和重链 IgV 以及不同组织之间也存在差异。AI 疾病与正常对照突变模式之间的差异可能是由于异位 GC 暴露于不同的微环境影响,而与正常次级淋巴组织中的影响不同。

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