Literature DB >> 28899799

Neutrophil extracellular traps (NETs) in autoimmune diseases: A comprehensive review.

Keum Hwa Lee1, Andreas Kronbichler2, David Duck-Young Park3, YoungMin Park3, Hanwool Moon3, Hyungdo Kim3, Jun Hyug Choi3, YoungSeo Choi3, Songjoo Shim3, Il Suk Lyu3, Byung Hwan Yun3, Yeonseung Han3, Donghee Lee3, Sang Yoon Lee3, Byung Hun Yoo3, Kyung Hwan Lee3, Tai Lim Kim3, Heonki Kim3, Joo Sung Shim3, Wonseok Nam3, Heesung So3, SooYeon Choi3, Sangmok Lee3, Jae Il Shin4.   

Abstract

Neutrophil extracellular traps (NETs) are fibrous networks which protrude from the membranes of activated neutrophils. NETs are found in a variety of conditions such as infection, malignancy, atherosclerosis, and autoimmune diseases including rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), anti-neutrophil cytoplasmic antibodies (ANCA)-associated vasculitis (AAV), psoriasis, and gout. Studies suggest that an imbalance between "NETosis," which is a process by which NETs are formed, and NET degradation may be associated with autoimmune diseases. Neutrophils, interleukin-8, ANCA and other inflammatory molecules are considered to play a key role in NET formation. Prolonged exposure to NETs-related cascades is associated with autoimmunity and increases the chance of systemic organ damage. In this review, we discuss the roles of various inflammatory molecules in relation to NETs. We also describe the role of NETs in the pathogenesis of autoimmune diseases and discuss the possibility of using targeted therapies directed to NETs and associated molecules to treat autoimmune diseases.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  ANCA-associated vasculitis (AAV); Anti-neutrophil cytoplasmic antibodies (ANCA); Autoimmunity; Interleukin-8 (IL-8); Neutrophil extracellular traps (NETs); Neutrophils; Rheumatoid arthritis (RA); Systemic lupus erythematosus (SLE)

Mesh:

Year:  2017        PMID: 28899799     DOI: 10.1016/j.autrev.2017.09.012

Source DB:  PubMed          Journal:  Autoimmun Rev        ISSN: 1568-9972            Impact factor:   9.754


  132 in total

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