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Low Percentage of Signal Regulatory Protein α/β(+) Memory B Cells in Blood Predicts Development of Anti-drug Antibodies (ADA) in Adalimumab-Treated Rheumatoid Arthritis Patients

An important goal for personalized treatment is predicting response to a particular therapeutic. A drawback of biological treatment is immunogenicity and the development of antibodies directed against the drug [anti-drug antibodies (ADA)], which are associated with a poorer clinical outcome. Here we...

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Autores principales: Magill, Laura, Adriani, Marsilio, Berthou, Véronique, Chen, Keguan, Gleizes, Aude, Hacein-Bey-Abina, Salima, Hincelin-Mery, Agnes, Mariette, Xavier, Pallardy, Marc, Spindeldreher, Sebastian, Szely, Natacha, Isenberg, David A., Manson, Jessica J., Jury, Elizabeth C., Mauri, Claudia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6290031/
https://www.ncbi.nlm.nih.gov/pubmed/30568660
http://dx.doi.org/10.3389/fimmu.2018.02865
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author Magill, Laura
Adriani, Marsilio
Berthou, Véronique
Chen, Keguan
Gleizes, Aude
Hacein-Bey-Abina, Salima
Hincelin-Mery, Agnes
Mariette, Xavier
Pallardy, Marc
Spindeldreher, Sebastian
Szely, Natacha
Isenberg, David A.
Manson, Jessica J.
Jury, Elizabeth C.
Mauri, Claudia
author_facet Magill, Laura
Adriani, Marsilio
Berthou, Véronique
Chen, Keguan
Gleizes, Aude
Hacein-Bey-Abina, Salima
Hincelin-Mery, Agnes
Mariette, Xavier
Pallardy, Marc
Spindeldreher, Sebastian
Szely, Natacha
Isenberg, David A.
Manson, Jessica J.
Jury, Elizabeth C.
Mauri, Claudia
author_sort Magill, Laura
collection PubMed
description An important goal for personalized treatment is predicting response to a particular therapeutic. A drawback of biological treatment is immunogenicity and the development of antibodies directed against the drug [anti-drug antibodies (ADA)], which are associated with a poorer clinical outcome. Here we set out to identify a predictive biomarker that discriminates rheumatoid arthritis (RA) patients who are more likely to develop ADA in response to adalimumab, a human monoclonal antibody against tumor necrosis factor (TNF)α. By taking advantage of an immune-phenotyping platform, LEGENDScreen™, we measured the expression of 332 cell surface markers on B and T cells in a cross-sectional adalimumab-treated RA patient cohort with a defined ADA response. The analysis revealed seven differentially expressed markers (DEMs) between the ADA(+) and ADA(−) patients. Validation of the DEMs in an independent prospective European cohort of adalimumab treated RA patients, revealed a significant and consistent reduced frequency of signal regulatory protein (SIRP)α/β-expressing memory B cells in ADA(+) vs. ADA(−) RA patients. We also assessed the predictive value of SIRPα/β expression in a longitudinal RA cohort prior to the initiation of adalimumab treatment. We show that a frequency of < 9.4% of SIRPα/β-expressing memory B cells predicts patients that will develop ADA, and consequentially fail to respond to treatment, with a receiver operating characteristic (ROC) area under the curve (AUC) score of 0.92. Thus, measuring the frequency of SIRPα/β-expressing memory B cells in patients prior to adalimumab treatment may be clinically useful to identify a subgroup of active RA subjects who are going to develop an ADA response and not gain substantial clinical benefit from this treatment.
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spelling pubmed-62900312018-12-19 Low Percentage of Signal Regulatory Protein α/β(+) Memory B Cells in Blood Predicts Development of Anti-drug Antibodies (ADA) in Adalimumab-Treated Rheumatoid Arthritis Patients Magill, Laura Adriani, Marsilio Berthou, Véronique Chen, Keguan Gleizes, Aude Hacein-Bey-Abina, Salima Hincelin-Mery, Agnes Mariette, Xavier Pallardy, Marc Spindeldreher, Sebastian Szely, Natacha Isenberg, David A. Manson, Jessica J. Jury, Elizabeth C. Mauri, Claudia Front Immunol Immunology An important goal for personalized treatment is predicting response to a particular therapeutic. A drawback of biological treatment is immunogenicity and the development of antibodies directed against the drug [anti-drug antibodies (ADA)], which are associated with a poorer clinical outcome. Here we set out to identify a predictive biomarker that discriminates rheumatoid arthritis (RA) patients who are more likely to develop ADA in response to adalimumab, a human monoclonal antibody against tumor necrosis factor (TNF)α. By taking advantage of an immune-phenotyping platform, LEGENDScreen™, we measured the expression of 332 cell surface markers on B and T cells in a cross-sectional adalimumab-treated RA patient cohort with a defined ADA response. The analysis revealed seven differentially expressed markers (DEMs) between the ADA(+) and ADA(−) patients. Validation of the DEMs in an independent prospective European cohort of adalimumab treated RA patients, revealed a significant and consistent reduced frequency of signal regulatory protein (SIRP)α/β-expressing memory B cells in ADA(+) vs. ADA(−) RA patients. We also assessed the predictive value of SIRPα/β expression in a longitudinal RA cohort prior to the initiation of adalimumab treatment. We show that a frequency of < 9.4% of SIRPα/β-expressing memory B cells predicts patients that will develop ADA, and consequentially fail to respond to treatment, with a receiver operating characteristic (ROC) area under the curve (AUC) score of 0.92. Thus, measuring the frequency of SIRPα/β-expressing memory B cells in patients prior to adalimumab treatment may be clinically useful to identify a subgroup of active RA subjects who are going to develop an ADA response and not gain substantial clinical benefit from this treatment. Frontiers Media S.A. 2018-12-05 /pmc/articles/PMC6290031/ /pubmed/30568660 http://dx.doi.org/10.3389/fimmu.2018.02865 Text en Copyright © 2018 Magill, Adriani, Berthou, Chen, Gleizes, Hacein-Bey-Abina, Hincelin-Mery, Mariette, Pallardy, Spindeldreher, Szely, Isenberg, Manson, Jury and Mauri. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Magill, Laura
Adriani, Marsilio
Berthou, Véronique
Chen, Keguan
Gleizes, Aude
Hacein-Bey-Abina, Salima
Hincelin-Mery, Agnes
Mariette, Xavier
Pallardy, Marc
Spindeldreher, Sebastian
Szely, Natacha
Isenberg, David A.
Manson, Jessica J.
Jury, Elizabeth C.
Mauri, Claudia
Low Percentage of Signal Regulatory Protein α/β(+) Memory B Cells in Blood Predicts Development of Anti-drug Antibodies (ADA) in Adalimumab-Treated Rheumatoid Arthritis Patients
title Low Percentage of Signal Regulatory Protein α/β(+) Memory B Cells in Blood Predicts Development of Anti-drug Antibodies (ADA) in Adalimumab-Treated Rheumatoid Arthritis Patients
title_full Low Percentage of Signal Regulatory Protein α/β(+) Memory B Cells in Blood Predicts Development of Anti-drug Antibodies (ADA) in Adalimumab-Treated Rheumatoid Arthritis Patients
title_fullStr Low Percentage of Signal Regulatory Protein α/β(+) Memory B Cells in Blood Predicts Development of Anti-drug Antibodies (ADA) in Adalimumab-Treated Rheumatoid Arthritis Patients
title_full_unstemmed Low Percentage of Signal Regulatory Protein α/β(+) Memory B Cells in Blood Predicts Development of Anti-drug Antibodies (ADA) in Adalimumab-Treated Rheumatoid Arthritis Patients
title_short Low Percentage of Signal Regulatory Protein α/β(+) Memory B Cells in Blood Predicts Development of Anti-drug Antibodies (ADA) in Adalimumab-Treated Rheumatoid Arthritis Patients
title_sort low percentage of signal regulatory protein α/β(+) memory b cells in blood predicts development of anti-drug antibodies (ada) in adalimumab-treated rheumatoid arthritis patients
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6290031/
https://www.ncbi.nlm.nih.gov/pubmed/30568660
http://dx.doi.org/10.3389/fimmu.2018.02865
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