Autoantibody profiling for the study and treatment of autoimmune disease.

Arthritis Research Pub Date : 2002-01-01 Epub Date: 2002-05-07 DOI:10.1186/ar426
Wolfgang Hueber, Paul J Utz, Lawrence Steinman, William H Robinson
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引用次数: 2

Abstract

Proteomics technologies enable profiling of autoantibody responses using biological fluids derived from patients with autoimmune disease. They provide a powerful tool to characterize autoreactive B-cell responses in diseases including rheumatoid arthritis, multiple sclerosis, autoimmune diabetes, and systemic lupus erythematosus. Autoantibody profiling may serve purposes including classification of individual patients and subsets of patients based on their 'autoantibody fingerprint', examination of epitope spreading and antibody isotype usage, discovery and characterization of candidate autoantigens, and tailoring antigen-specific therapy. In the coming decades, proteomics technologies will broaden our understanding of the underlying mechanisms of and will further our ability to diagnose, prognosticate and treat autoimmune disease.

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自身抗体谱分析用于自身免疫性疾病的研究和治疗。
蛋白质组学技术能够利用自身免疫性疾病患者的生物体液分析自身抗体反应。它们为类风湿关节炎、多发性硬化症、自身免疫性糖尿病和系统性红斑狼疮等疾病的自身反应性b细胞反应表征提供了强有力的工具。自身抗体谱分析的目的包括:根据患者的“自身抗体指纹”对个体患者和患者亚群进行分类,检查表位扩散和抗体同型使用,发现和表征候选自身抗原,以及定制抗原特异性治疗。在未来的几十年里,蛋白质组学技术将扩大我们对潜在机制的理解,并将进一步提高我们诊断、预测和治疗自身免疫性疾病的能力。
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