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Diagnostic and prognostic biomarker discovery strategies for autoimmune disorders.

机译:自身免疫性疾病的诊断和预后生物标志物发现策略。

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摘要

Current clinical, laboratory or radiological parameters cannot accurately diagnose or predict disease outcomes in a range of autoimmune disorders. Biomarkers which can diagnose at an earlier time point, predict outcome or help guide therapeutic strategies in autoimmune diseases could improve clinical management of this broad group of debilitating disorders. Additionally, there is a growing need for a deeper understanding of multi-factorial autoimmune disorders. Proteomic platforms offering a multiplex approach are more likely to reflect the complexity of autoimmune disease processes. Findings from proteomic based studies of three distinct autoimmune diseases are presented and strategies compared. It is the authors' view that such approaches are likely to be fruitful in the movement of autoimmune disease treatment away from reactive decisions and towards a preventative stand point.
机译:当前的临床,实验室或放射学参数不能准确诊断或预测一系列自身免疫性疾病的疾病结果。可以在更早的时间点诊断,预测结局或帮助指导自身免疫性疾病治疗策略的生物标记物可以改善这一广泛的衰弱性疾病的临床管理。另外,越来越需要对多因素自身免疫性疾病有更深的了解。提供多重方法的蛋白质组学平台更可能反映出自身免疫疾病过程的复杂性。提出了基于蛋白质组学的三种不同的自身免疫性疾病研究结果,并比较了策略。作者认为,这种方法可能在自身免疫性疾病治疗从反应性决策转向预防立场的过程中取得了丰硕的成果。

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