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Proteomics in Rheumatoid Arthritis Research

Although rheumatoid arthritis (RA) is the most common chronic inflammatory autoimmune disease, diagnosis of RA is currently based on clinical manifestations, and there is no simple, practical assessment tool in the clinical field to assess disease activity and severity. Recently, there has been incr...

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Autores principales: Park, Yune-Jung, Chung, Min Kyung, Hwang, Daehee, Kim, Wan-Uk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Association of Immunologists 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4553255/
https://www.ncbi.nlm.nih.gov/pubmed/26330803
http://dx.doi.org/10.4110/in.2015.15.4.177
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author Park, Yune-Jung
Chung, Min Kyung
Hwang, Daehee
Kim, Wan-Uk
author_facet Park, Yune-Jung
Chung, Min Kyung
Hwang, Daehee
Kim, Wan-Uk
author_sort Park, Yune-Jung
collection PubMed
description Although rheumatoid arthritis (RA) is the most common chronic inflammatory autoimmune disease, diagnosis of RA is currently based on clinical manifestations, and there is no simple, practical assessment tool in the clinical field to assess disease activity and severity. Recently, there has been increasing interest in the discovery of new diagnostic RA biomarkers that can assist in evaluating disease activity, severity, and treatment response. Proteomics, the large-scale study of the proteome, has emerged as a powerful technique for protein identification and characterization. For the past 10 years, proteomic techniques have been applied to different biological samples (synovial tissue/fluid, blood, and urine) from RA patients and experimental animal models. In this review, we summarize the current state of the application of proteomics in RA and its importance in identifying biomarkers and treatment targets.
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spelling pubmed-45532552015-09-01 Proteomics in Rheumatoid Arthritis Research Park, Yune-Jung Chung, Min Kyung Hwang, Daehee Kim, Wan-Uk Immune Netw Review Article Although rheumatoid arthritis (RA) is the most common chronic inflammatory autoimmune disease, diagnosis of RA is currently based on clinical manifestations, and there is no simple, practical assessment tool in the clinical field to assess disease activity and severity. Recently, there has been increasing interest in the discovery of new diagnostic RA biomarkers that can assist in evaluating disease activity, severity, and treatment response. Proteomics, the large-scale study of the proteome, has emerged as a powerful technique for protein identification and characterization. For the past 10 years, proteomic techniques have been applied to different biological samples (synovial tissue/fluid, blood, and urine) from RA patients and experimental animal models. In this review, we summarize the current state of the application of proteomics in RA and its importance in identifying biomarkers and treatment targets. The Korean Association of Immunologists 2015-08 2015-08-26 /pmc/articles/PMC4553255/ /pubmed/26330803 http://dx.doi.org/10.4110/in.2015.15.4.177 Text en Copyright © 2015 The Korean Association of Immunologists http://creativecommons.org/licenses/by-nc/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Park, Yune-Jung
Chung, Min Kyung
Hwang, Daehee
Kim, Wan-Uk
Proteomics in Rheumatoid Arthritis Research
title Proteomics in Rheumatoid Arthritis Research
title_full Proteomics in Rheumatoid Arthritis Research
title_fullStr Proteomics in Rheumatoid Arthritis Research
title_full_unstemmed Proteomics in Rheumatoid Arthritis Research
title_short Proteomics in Rheumatoid Arthritis Research
title_sort proteomics in rheumatoid arthritis research
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4553255/
https://www.ncbi.nlm.nih.gov/pubmed/26330803
http://dx.doi.org/10.4110/in.2015.15.4.177
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