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Genomics and proteomics: Applications in autoimmune diseases

机译:基因组学和蛋白质组学:在自身免疫性疾病中的应用

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摘要

Tremendous progress has been made over the past decade in the development and refinement of genomic and proteomic technologies for the identification of novel drug targets and molecular signatures associated with clinically important disease states, disease subsets, or differential responses to therapies. The rapid progress in high-throughput technologies has been preceded and paralleled by the elucidation of cytokine networks, followed by the stepwise clinical development of pathway-specific biological therapies that revolutionized the treatment of autoimmune diseases. Together, these advances provide opportunities for a long-anticipated personalized medicine approach to the treatment of autoimmune disease. The ever-increasing numbers of novel, innovative therapies will need to be harnessed wisely to achieve optimal long-term outcomes in as many patients as possible while complying with the demands of health authorities and health care providers for evidence-based, economically sound prescription of these expensive drugs. Genomic and proteomic profiling of patients with autoimmune diseases holds great promise in two major clinical areas: (1) rapid identification of new targets for the development of innovative therapies and (2) identification of patients who will experience optimal benefit and minimal risk from a specific (targeted) therapy. In this review, we attempt to capture important recent developments in the application of genomic and proteomic technologies to translational research by discussing informative examples covering a diversity of autoimmune diseases.
机译:在过去的十年中,在基因组学和蛋白质组学技术的开发和完善方面已经取得了巨大进展,用于鉴定与临床上重要的疾病状态,疾病亚型或对疗法的不同反应相关的新型药物靶标和分子标记。高通量技术的飞速发展首先伴随着细胞因子网络的阐明,与此同时,随后是途径特异性生物疗法的逐步临床开发,彻底改变了自身免疫性疾病的治疗方法。总之,这些进展为人们期待已久的个性化医学治疗自身免疫性疾病的方法提供了机会。需要明智地利用越来越多的新颖,创新疗法,以在尽可能多的患者中实现最佳长期效果,同时遵守卫生当局和卫生保健提供者对循证,经济合理的处方的要求。这些昂贵的药物。自身免疫性疾病患者的基因组学和蛋白质组学分析在两个主要临床领域具有广阔的前景:(1)快速确定开发创新疗法的新靶标;(2)鉴定从特定疾病中获得最佳收益和最小风险的患者(针对性)治疗。在这篇综述中,我们试图通过讨论涵盖多种自身免疫性疾病的信息性实例,来捕捉基因组学和蛋白质组学技术在翻译研究中的重要最新进展。

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