Using the tools of proteomics to understand the pathogenesis of idiopathic inflammatory myopathies.
Using the tools of proteomics to understand the pathogenesis of idiopathic inflammatory myopathies.
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DOI：
10.1097/bor.0000000000000643
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发表时间：
2019-11
影响因子：
5.1
通讯作者：
R. Karasawa;J. Jarvis
中科院分区：
文献类型：
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作者：
R. Karasawa;J. Jarvis
回顾目的过去 20 年医学研究最重要的进展之一是评估全球范围内复杂生物过程的技术的出现。尽管基因组规模的遗传学和基因组学技术受到了极大的关注，但以全面的方式研究蛋白质组的效用有时并未得到充分认识。在这篇综述中，我们讨论了应用于皮肌炎/多发性肌炎的蛋白质组学的最新进展，以及其他炎症性疾病的研究结果，这些发现可能启发我们对皮肌炎/多发性肌炎的理解。最近的发现蛋白质组学方法已被用来研究导致皮肌炎/多发性肌炎的肺部和皮肤疾病以及肌肉疾病本身的基本机制。此外，蛋白质组学方法已用于鉴定针对青少年皮肌炎内皮的自身抗体。其他炎症性疾病的研究表明，利用蛋白质组学来表征免疫复合物的组成和外泌体的蛋白质货物是有希望的。摘要 皮肌炎/多发性肌炎存在许多相关的科学和临床问题，可以使用蛋白质组学方法来解决。为了获得有用且可重复的数据，需要仔细注意方法论和分析方法。
PURPOSE OF REVIEW One of the most important advances in medical research over the past 20 years has been the emergence of technologies to assess complex biological processes on a global scale. Although a great deal of attention has been given to genome-scale genetics and genomics technologies, the utility of studying the proteome in a comprehensive way is sometimes under-appreciated. In this review, we discuss recent advances in proteomics as applied to dermatomyositis/polymyositis as well as findings from other inflammatory diseases that may enlighten our understanding of dermatomyositis/polymyositis. RECENT FINDINGS Proteomic approaches have been used to investigate basic mechanisms contributing to lung and skin disease in dermatomyositis/polymyositis as well as to the muscle disease itself. In addition, proteomic approaches have been used to identify autoantibodies targeting the endothelium in juvenile dermatomyositis. Studies from other inflammatory diseases have shown the promise of using proteomics to characterize the composition of immune complexes and the protein cargoes of exosomes. SUMMARY There are many relevant scientific and clinical questions in dermatomyositis/polymyositis that can be addressed using proteomics approaches. Careful attention to both methodology and analytic approaches are required to obtain useful and reproducible data.