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Serum biomarker panel for the diagnosis of rheumatoid arthritis
BACKGROUND: Rheumatoid arthritis (RA) is an autoimmune disease of inflammatory joint damage, wherein C-reactive protein and autoantibodies including rheumatoid factor (RF) and anti-cyclic citrullinated peptide (anti-CCP) are rapidly elevated. These serological factors are diagnostic markers of RA; h...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7812661/ https://www.ncbi.nlm.nih.gov/pubmed/33461622 http://dx.doi.org/10.1186/s13075-020-02405-7 |
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author | Mun, Sora Lee, Jiyeong Park, Mira Shin, Jieun Lim, Mi-Kyoung Kang, Hee-Gyoo |
author_facet | Mun, Sora Lee, Jiyeong Park, Mira Shin, Jieun Lim, Mi-Kyoung Kang, Hee-Gyoo |
author_sort | Mun, Sora |
collection | PubMed |
description | BACKGROUND: Rheumatoid arthritis (RA) is an autoimmune disease of inflammatory joint damage, wherein C-reactive protein and autoantibodies including rheumatoid factor (RF) and anti-cyclic citrullinated peptide (anti-CCP) are rapidly elevated. These serological factors are diagnostic markers of RA; however, their sensitivity and specificity for prediction warrant improvement for an early and accurate diagnosis. METHODS: We aimed to identify alternative biomarkers by serum protein profiling using LC-MS/MS. We performed statistical and functional analysis of differentially expressed proteins to identify biomarker candidates complementing conventional serological tests. RESULTS: Seven biomarker candidates were verified through multiple reaction monitoring-based quantitative analysis, of which angiotensinogen (AGT), serum amyloid A-4 protein (SAA4), vitamin D-binding protein (VDBP), and retinol-binding protein-4 (RBP4) had an area under the curve over 0.8, thus distinguishing RA patients, including seronegative (RF- and anti-CCP-negative) RA patients, from healthy controls. CONCLUSIONS: Therefore, among seronegative RA patients, a four-biomarker panel (AGT, SAA4, VDBP, and RBP4) can prevent false negatives and help diagnose RA accurately. |
format | Online Article Text |
id | pubmed-7812661 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-78126612021-01-19 Serum biomarker panel for the diagnosis of rheumatoid arthritis Mun, Sora Lee, Jiyeong Park, Mira Shin, Jieun Lim, Mi-Kyoung Kang, Hee-Gyoo Arthritis Res Ther Research Article BACKGROUND: Rheumatoid arthritis (RA) is an autoimmune disease of inflammatory joint damage, wherein C-reactive protein and autoantibodies including rheumatoid factor (RF) and anti-cyclic citrullinated peptide (anti-CCP) are rapidly elevated. These serological factors are diagnostic markers of RA; however, their sensitivity and specificity for prediction warrant improvement for an early and accurate diagnosis. METHODS: We aimed to identify alternative biomarkers by serum protein profiling using LC-MS/MS. We performed statistical and functional analysis of differentially expressed proteins to identify biomarker candidates complementing conventional serological tests. RESULTS: Seven biomarker candidates were verified through multiple reaction monitoring-based quantitative analysis, of which angiotensinogen (AGT), serum amyloid A-4 protein (SAA4), vitamin D-binding protein (VDBP), and retinol-binding protein-4 (RBP4) had an area under the curve over 0.8, thus distinguishing RA patients, including seronegative (RF- and anti-CCP-negative) RA patients, from healthy controls. CONCLUSIONS: Therefore, among seronegative RA patients, a four-biomarker panel (AGT, SAA4, VDBP, and RBP4) can prevent false negatives and help diagnose RA accurately. BioMed Central 2021-01-18 2021 /pmc/articles/PMC7812661/ /pubmed/33461622 http://dx.doi.org/10.1186/s13075-020-02405-7 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Mun, Sora Lee, Jiyeong Park, Mira Shin, Jieun Lim, Mi-Kyoung Kang, Hee-Gyoo Serum biomarker panel for the diagnosis of rheumatoid arthritis |
title | Serum biomarker panel for the diagnosis of rheumatoid arthritis |
title_full | Serum biomarker panel for the diagnosis of rheumatoid arthritis |
title_fullStr | Serum biomarker panel for the diagnosis of rheumatoid arthritis |
title_full_unstemmed | Serum biomarker panel for the diagnosis of rheumatoid arthritis |
title_short | Serum biomarker panel for the diagnosis of rheumatoid arthritis |
title_sort | serum biomarker panel for the diagnosis of rheumatoid arthritis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7812661/ https://www.ncbi.nlm.nih.gov/pubmed/33461622 http://dx.doi.org/10.1186/s13075-020-02405-7 |
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