Literature DB >> 25438073

Proteomic profiling of antigens in circulating immune complexes associated with each of seven autoimmune diseases.

Kaname Ohyama1, Miyako Baba2, Mami Tamai3, Nozomi Aibara2, Kunihiro Ichinose3, Naoya Kishikawa2, Atsushi Kawakami3, Naotaka Kuroda4.   

Abstract

OBJECTIVE: Immune complexes (ICs) trigger humoral immune responses. Therefore, the identification of constituent antigens within ICs would have very different clinical significance than identification of free antigens. DESIGN AND METHODS: Here, we applied immune complexome analysis of serum to the study of seven major autoimmune diseases-anti-neutrophil cytoplasmic antibody-associated vasculitis, Takayasu's arteritis, mixed connective tissue disease, dermatomyositis, Sjögren's syndrome, systemic scleroderma, and systemic lupus erythematosus-and healthy donors to comprehensively identify antigens incorporated into circulating ICs and to find disease-specific antigens.
RESULTS: We identified 468 distinct IC-associated antigens using this method. Importantly, 62 of those antigens were disease-specific antigens, and there were at least three disease-specific antigens for each of the seven autoimmune diseases. Of the disease-specific antigens identified, coiled-coil domain-containing protein 158 and spectrin were identified as potential autoantigens important to SSc and SS pathogenesis, respectively; notable titin and spectrin autoantibodies are reportedly found in SSc and SS patients, respectively.
CONCLUSION: Immune complexome analysis may be generally applicable to the study of the relationship between ICs and autoimmune diseases in animals and humans.
Copyright © 2014 The Canadian Society of Clinical Chemists. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Autoimmune disease; Immune complex; Immune complexome analysis; Tandem mass spectrometry

Mesh:

Substances:

Year:  2014        PMID: 25438073     DOI: 10.1016/j.clinbiochem.2014.11.008

Source DB:  PubMed          Journal:  Clin Biochem        ISSN: 0009-9120            Impact factor:   3.281


  12 in total

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Authors:  K Yamane; H Nakamura; M Hamasaki; Y Minei; N Aibara; T Shimizu; A Kawakami; M Nakashima; N Kuroda; K Ohyama
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