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Biologic predictors of clinical improvement in rituximab-treated refractory myositis
BACKGROUND: To examine the longitudinal utility of a biomarker signature in conjunction with myositis autoantibodies (autoAbs) as predictors of disease improvement in refractory myositis patients treated with rituximab. METHODS: In the RIM Trial, all subjects received rituximab on 2 consecutive week...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4574570/ https://www.ncbi.nlm.nih.gov/pubmed/26382217 http://dx.doi.org/10.1186/s12891-015-0710-3 |
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author | Reed, Ann M. Crowson, Cynthia S. Hein, Molly de Padilla, Consuelo Lopez Olazagasti, Jeannette M. Aggarwal, Rohit Ascherman, Dana P. Levesque, Marc C. Oddis, Chester V. |
author_facet | Reed, Ann M. Crowson, Cynthia S. Hein, Molly de Padilla, Consuelo Lopez Olazagasti, Jeannette M. Aggarwal, Rohit Ascherman, Dana P. Levesque, Marc C. Oddis, Chester V. |
author_sort | Reed, Ann M. |
collection | PubMed |
description | BACKGROUND: To examine the longitudinal utility of a biomarker signature in conjunction with myositis autoantibodies (autoAbs) as predictors of disease improvement in refractory myositis patients treated with rituximab. METHODS: In the RIM Trial, all subjects received rituximab on 2 consecutive weeks. Using start of treatment as baseline, serum samples (n = 177) were analyzed at baseline and after rituximab with multiplexed sandwich immunoassays to quantify type-1 IFN-regulated and other pro-inflammatory chemokines and cytokines. Biomarker scores were generated for the following pathways: type-1 IFN-inducible (IFNCK), innate, Th1, Th2, Th17 and regulatory cytokines. Myositis autoAbs (anti-synthetase n = 28, TIF-γ n = 19, Mi-2 n = 25, SRP n = 21, MJ n = 18, non-MAA n = 24, unidentified autoantibody n = 9, and no autoantibodies n = 33) determined by immunoprecipitation at baseline, were correlated with outcome measures. Kruskal-Wallis rank sum tests were used for comparisons. RESULTS: The mean (SD) values for muscle disease and physician global disease activity VAS scores (0–100 mm) were 46 (22) and 49 (19). IFNCK scores (median values) were higher at baseline in subjects with anti-synthetase (43), TIF1-γ (31) and Mi-2 (30) compared with other autoAb groups (p < 0.001). At 16 weeks after rituximab, anti-synthetase and Mi-2 autoAb positive subjects and non-MAA had a greater improvement in IFNCK scores (− 6.7, − 6.1 and −7.2, p < .001). Both IFNCK high scores (>30) and autoAb group (Mi-2, non-MAA, and undefined autoantibody) demonstrated the greatest clinical improvement based on muscle VAS (muscle-interaction p = 0.075). CONCLUSION: Biomarker signatures in conjunction with autoAbs help predict response to rituximab in refractory myositis. Biomarker and clinical responses are greatest at 16 weeks after rituximab. |
format | Online Article Text |
id | pubmed-4574570 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-45745702015-09-19 Biologic predictors of clinical improvement in rituximab-treated refractory myositis Reed, Ann M. Crowson, Cynthia S. Hein, Molly de Padilla, Consuelo Lopez Olazagasti, Jeannette M. Aggarwal, Rohit Ascherman, Dana P. Levesque, Marc C. Oddis, Chester V. BMC Musculoskelet Disord Research Article BACKGROUND: To examine the longitudinal utility of a biomarker signature in conjunction with myositis autoantibodies (autoAbs) as predictors of disease improvement in refractory myositis patients treated with rituximab. METHODS: In the RIM Trial, all subjects received rituximab on 2 consecutive weeks. Using start of treatment as baseline, serum samples (n = 177) were analyzed at baseline and after rituximab with multiplexed sandwich immunoassays to quantify type-1 IFN-regulated and other pro-inflammatory chemokines and cytokines. Biomarker scores were generated for the following pathways: type-1 IFN-inducible (IFNCK), innate, Th1, Th2, Th17 and regulatory cytokines. Myositis autoAbs (anti-synthetase n = 28, TIF-γ n = 19, Mi-2 n = 25, SRP n = 21, MJ n = 18, non-MAA n = 24, unidentified autoantibody n = 9, and no autoantibodies n = 33) determined by immunoprecipitation at baseline, were correlated with outcome measures. Kruskal-Wallis rank sum tests were used for comparisons. RESULTS: The mean (SD) values for muscle disease and physician global disease activity VAS scores (0–100 mm) were 46 (22) and 49 (19). IFNCK scores (median values) were higher at baseline in subjects with anti-synthetase (43), TIF1-γ (31) and Mi-2 (30) compared with other autoAb groups (p < 0.001). At 16 weeks after rituximab, anti-synthetase and Mi-2 autoAb positive subjects and non-MAA had a greater improvement in IFNCK scores (− 6.7, − 6.1 and −7.2, p < .001). Both IFNCK high scores (>30) and autoAb group (Mi-2, non-MAA, and undefined autoantibody) demonstrated the greatest clinical improvement based on muscle VAS (muscle-interaction p = 0.075). CONCLUSION: Biomarker signatures in conjunction with autoAbs help predict response to rituximab in refractory myositis. Biomarker and clinical responses are greatest at 16 weeks after rituximab. BioMed Central 2015-09-17 /pmc/articles/PMC4574570/ /pubmed/26382217 http://dx.doi.org/10.1186/s12891-015-0710-3 Text en © Reed et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 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. |
spellingShingle | Research Article Reed, Ann M. Crowson, Cynthia S. Hein, Molly de Padilla, Consuelo Lopez Olazagasti, Jeannette M. Aggarwal, Rohit Ascherman, Dana P. Levesque, Marc C. Oddis, Chester V. Biologic predictors of clinical improvement in rituximab-treated refractory myositis |
title | Biologic predictors of clinical improvement in rituximab-treated refractory myositis |
title_full | Biologic predictors of clinical improvement in rituximab-treated refractory myositis |
title_fullStr | Biologic predictors of clinical improvement in rituximab-treated refractory myositis |
title_full_unstemmed | Biologic predictors of clinical improvement in rituximab-treated refractory myositis |
title_short | Biologic predictors of clinical improvement in rituximab-treated refractory myositis |
title_sort | biologic predictors of clinical improvement in rituximab-treated refractory myositis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4574570/ https://www.ncbi.nlm.nih.gov/pubmed/26382217 http://dx.doi.org/10.1186/s12891-015-0710-3 |
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