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实验性自身免疫性脑脊髓炎——成就与展望。

Experimental autoimmune encephalomyelitis--achievements and prospective advances.

机构信息

Department of Anatomy I, University of Cologne, Cologne, Germany.

出版信息

APMIS. 2011 Dec;119(12):819-30. doi: 10.1111/j.1600-0463.2011.02794.x. Epub 2011 Oct 18.

Abstract

Multiple sclerosis (MS) is an autoimmune disorder of the CNS. Different subtypes of the disease have been noted, and characterized by distinct clinical courses and histopathologic manifestations. The most intensively studied animal model of MS, experimental autoimmune encephalomyelitis (EAE), classically leads to deficits in motor functions, and is mediated by T helper cells. Recently, T(H)17 cells were ascribed an even greater pathogenic impact than T(H)1 cells, but new findings render this view controversial. Although classic EAE has been an invaluable tool, it does not cover the entire pathogenic entity of MS. Especially B-cell contribution and autoantibody-dependence are not mirrored adequately: therefore, new B-cell-dependent models, such as MP4-induced EAE, have been introduced. Furthermore, certain symptoms and the spontaneous onset of MS are not featured in classic EAE. Herein, atypical and spontaneous EAE models can be used for investigation of common symptoms, such as tremor and ataxia, as well as spontaneous disease development. MS displays a marked inter-individual heterogeneity, and no single model will be able to cover all features. Thus, depending on the objective of one's study, the appropriate EAE model has to be carefully chosen. In addition, refined models should be designed to gain a more complete understanding of MS.

摘要

多发性硬化症(MS)是一种中枢神经系统自身免疫性疾病。已注意到该病有不同的亚型,其特征是具有不同的临床病程和组织病理学表现。MS 最受关注的动物模型,实验性自身免疫性脑脊髓炎(EAE),经典地导致运动功能缺陷,由辅助性 T 细胞介导。最近,辅助性 T 细胞 17(T(H)17)细胞被认为比辅助性 T 细胞 1(T(H)1)细胞具有更大的致病性作用,但新的发现使这一观点受到争议。虽然经典的 EAE 一直是一个非常有价值的工具,但它并没有涵盖 MS 的整个致病实体。特别是 B 细胞的贡献和自身抗体的依赖性没有得到充分反映:因此,已经引入了新的 B 细胞依赖性模型,如 MP4 诱导的 EAE。此外,某些症状和 MS 的自发性发病在经典 EAE 中并不明显。在这里,非典型和自发性 EAE 模型可用于研究常见症状,如震颤和共济失调,以及自发性疾病的发展。MS 表现出明显的个体间异质性,没有单一的模型能够涵盖所有的特征。因此,根据研究的目的,必须仔细选择合适的 EAE 模型。此外,应设计更精细的模型以更全面地了解 MS。

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