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常见的自身免疫性疾病先天途径。

Common innate pathways to autoimmune disease.

机构信息

University of Maryland School of Medicine, Baltimore, MD, United States of America; Baltimore VA Medical Center, Baltimore, MD, United States of America.

Brigham and Women's Hospital, United States of America; Harvard Medical School, Boston, MA, United States of America.

出版信息

Clin Immunol. 2020 Mar;212:108361. doi: 10.1016/j.clim.2020.108361. Epub 2020 Feb 10.

Abstract

Until recently, autoimmune disease research has primarily been focused on elucidating the role of the adaptive immune system. In the past decade or so, the role of the innate immune system in the pathogenesis of autoimmunity has increasingly been realized. Recent findings have elucidated paradigm-shifting concepts, for example, the implications of "trained immunity" and a dysbiotic microbiome in the susceptibility of predisposed individuals to clinical autoimmunity. In addition, the application of modern technologies such as the quantum dot (Qdot) system and 'Omics' (e.g., genomics, proteomics, and metabolomics) data-processing tools has proven fruitful in revisiting mechanisms underlying autoimmune pathogenesis and in identifying novel therapeutic targets. This review highlights recent findings discussed at the American Autoimmune Related Disease Association (AARDA) 2019 colloquium. The findings covering autoimmune diseases and autoinflammatory diseases illustrate how new developments in common innate immune pathways can contribute to the better understanding and management of these immune-mediated disorders.

摘要

直到最近,自身免疫性疾病的研究主要集中在阐明适应性免疫系统的作用上。在过去的十年左右,人们越来越认识到固有免疫系统在自身免疫发病机制中的作用。最近的发现阐明了具有颠覆性的概念,例如,“训练有素的免疫”和失调的微生物组在易感性个体向临床自身免疫发展中的影响。此外,现代技术的应用,如量子点(Qdot)系统和“组学”(例如,基因组学、蛋白质组学和代谢组学)数据处理工具,在重新审视自身免疫发病机制的机制以及确定新的治疗靶点方面已被证明是富有成效的。这篇综述强调了美国自身免疫相关疾病协会(AARDA)2019 年会讨论的最新发现。涵盖自身免疫性疾病和自身炎症性疾病的研究结果表明,固有免疫途径的新发展如何有助于更好地理解和管理这些免疫介导的疾病。

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