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Proteomic analysis to define predictors of treatment response to adalimumab or methotrexate in rheumatoid arthritis patients
Seropositivity for anti-citrullinated peptide antibodies (ACPA) in patients with rheumatoid arthritis (RA), a chronic autoimmune arthritis, is associated with worse long-term disease outcomes. ACPA is ubiquitously tested in RA patients, but other autoantibodies exist (in both citrullinated and non-c...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7253356/ https://www.ncbi.nlm.nih.gov/pubmed/31819160 http://dx.doi.org/10.1038/s41397-019-0139-4 |
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author | Ling, Stephanie F. Nair, Nisha Verstappen, Suzanne M. M. Barton, Anne Zucht, Hans-Dieter Budde, Petra Schulz-Knappe, Peter Plant, Darren |
author_facet | Ling, Stephanie F. Nair, Nisha Verstappen, Suzanne M. M. Barton, Anne Zucht, Hans-Dieter Budde, Petra Schulz-Knappe, Peter Plant, Darren |
author_sort | Ling, Stephanie F. |
collection | PubMed |
description | Seropositivity for anti-citrullinated peptide antibodies (ACPA) in patients with rheumatoid arthritis (RA), a chronic autoimmune arthritis, is associated with worse long-term disease outcomes. ACPA is ubiquitously tested in RA patients, but other autoantibodies exist (in both citrullinated and non-citrullinated form) which may provide additional information on RA subtypes and/or treatment response. We used a multiplex bead-based assay of 376 autoantibodies to test associations between these autoantibodies and treatment response in RA patients. Clusters of patients with similar autoantibody expression were defined and cluster membership was associated with treatment response. Thirty-four autoantibodies were differentially expressed in RA patients compared with healthy controls; citrullinated vimentin was associated with treatment response. A selection of citrullinated autoantibodies was found to be associated with treatment response in a subanalysis of ACPA-negative RA patients. Finer ACPA specificities in ACPA-negative RA patients may be predictive of treatment response and could represent a rich vein of future study. |
format | Online Article Text |
id | pubmed-7253356 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-72533562020-06-05 Proteomic analysis to define predictors of treatment response to adalimumab or methotrexate in rheumatoid arthritis patients Ling, Stephanie F. Nair, Nisha Verstappen, Suzanne M. M. Barton, Anne Zucht, Hans-Dieter Budde, Petra Schulz-Knappe, Peter Plant, Darren Pharmacogenomics J Article Seropositivity for anti-citrullinated peptide antibodies (ACPA) in patients with rheumatoid arthritis (RA), a chronic autoimmune arthritis, is associated with worse long-term disease outcomes. ACPA is ubiquitously tested in RA patients, but other autoantibodies exist (in both citrullinated and non-citrullinated form) which may provide additional information on RA subtypes and/or treatment response. We used a multiplex bead-based assay of 376 autoantibodies to test associations between these autoantibodies and treatment response in RA patients. Clusters of patients with similar autoantibody expression were defined and cluster membership was associated with treatment response. Thirty-four autoantibodies were differentially expressed in RA patients compared with healthy controls; citrullinated vimentin was associated with treatment response. A selection of citrullinated autoantibodies was found to be associated with treatment response in a subanalysis of ACPA-negative RA patients. Finer ACPA specificities in ACPA-negative RA patients may be predictive of treatment response and could represent a rich vein of future study. Nature Publishing Group UK 2019-12-10 2020 /pmc/articles/PMC7253356/ /pubmed/31819160 http://dx.doi.org/10.1038/s41397-019-0139-4 Text en © The Author(s) 2019 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Ling, Stephanie F. Nair, Nisha Verstappen, Suzanne M. M. Barton, Anne Zucht, Hans-Dieter Budde, Petra Schulz-Knappe, Peter Plant, Darren Proteomic analysis to define predictors of treatment response to adalimumab or methotrexate in rheumatoid arthritis patients |
title | Proteomic analysis to define predictors of treatment response to adalimumab or methotrexate in rheumatoid arthritis patients |
title_full | Proteomic analysis to define predictors of treatment response to adalimumab or methotrexate in rheumatoid arthritis patients |
title_fullStr | Proteomic analysis to define predictors of treatment response to adalimumab or methotrexate in rheumatoid arthritis patients |
title_full_unstemmed | Proteomic analysis to define predictors of treatment response to adalimumab or methotrexate in rheumatoid arthritis patients |
title_short | Proteomic analysis to define predictors of treatment response to adalimumab or methotrexate in rheumatoid arthritis patients |
title_sort | proteomic analysis to define predictors of treatment response to adalimumab or methotrexate in rheumatoid arthritis patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7253356/ https://www.ncbi.nlm.nih.gov/pubmed/31819160 http://dx.doi.org/10.1038/s41397-019-0139-4 |
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