DOI 10.1248/yakushi.15-00226-3
[Screening for Potential Drug Targets by Comprehensive Identification of Disease-specific Antigens Incorporated into Immune Complexes in Patients with Immunological Diseases].
Аннотация
Our immune system resembles an intelligent security system, which continually monitors for foreign invaders (infectious diseases); however, in some cases, this system recognizes healthy parts as something harmful or foreign and then attacks them (autoimmune diseases). The defining characteristics of an autoimmune disease are the existence of T- and B-cell autoreactivity against self proteins (autoantigens). In addition to autoimmune diseases, aberrant host proteins that occur during a certain state of diseases (e.g., cancer) can be recognized as an autoantigen. Immune complexes (ICs) are produced during an immune response and may reflect some aspects of an ongoing immune response. Therefore, the identity of antigens incorporated into ICs provides the information that in the future may aid in the development of diagnosis and treatment strategies for autoimmune diseases, infection, cancer, and transplantation therapy, and this information might be more relevant than information on free antigens. We developed a novel proteomic strategy (immune complexome analysis) in which ICs are separated from serum, followed by direct tryptic digestion and nano-liquid chromatography-tandem mass spectrometry for the identification and profiling of antigens in circulating ICs. We applied this strategy to the analysis of circulating ICs in autoimmune diseases (rheumatoid arthritis, anti-neutrophil cytoplasmic antibody-associated vasculitis, Takayasu's arteritis, mixed connective tissue disease, dermatomyositis, Sjögren's syndrome, systemic scleroderma, and systemic lupus erythematosus), infectious diseases and cancers. In this review, we mainly discuss the results for autoimmune diseases.
Предметные рубрики MeSH
Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Ошибки и ограничения
История · было → стало
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