Predictive Factors of Response to Biological Disease Modifying Antirheumatic Drugs: Towards Personalized Medicine
Many therapies are now available for patients with rheumatoid arthritis (RA) who have an inadequate response to methotrexate including tumor necrosis factor inhibitors, abatacept, tocilizumab, and rituximab. Clinical response to drugs varies widely between individuals. A part of this variability is...
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Format: | Article |
Language: | English |
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Wiley
2014-01-01
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Series: | Mediators of Inflammation |
Online Access: | http://dx.doi.org/10.1155/2014/386148 |
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author | Claire I. Daïen Jacques Morel |
author_facet | Claire I. Daïen Jacques Morel |
author_sort | Claire I. Daïen |
collection | DOAJ |
description | Many therapies are now available for patients with rheumatoid arthritis (RA) who have an inadequate response to methotrexate including tumor necrosis factor inhibitors, abatacept, tocilizumab, and rituximab. Clinical response to drugs varies widely between individuals. A part of this variability is due to the characteristics of the patient such as age, gender, concomitant therapies, body mass index, or smoking status. Clinical response also depends on disease characteristics including disease activity and severity and presence of autoantibodies. Genetic background, cytokine levels, and immune cell phenotypes could also influence biological therapy response. This review summarizes the impact of all those parameters on response to biological therapies. |
format | Article |
id | doaj-art-e8fff8ced35044abac4f1b52515a9630 |
institution | Kabale University |
issn | 0962-9351 1466-1861 |
language | English |
publishDate | 2014-01-01 |
publisher | Wiley |
record_format | Article |
series | Mediators of Inflammation |
spelling | doaj-art-e8fff8ced35044abac4f1b52515a96302025-02-03T05:45:22ZengWileyMediators of Inflammation0962-93511466-18612014-01-01201410.1155/2014/386148386148Predictive Factors of Response to Biological Disease Modifying Antirheumatic Drugs: Towards Personalized MedicineClaire I. Daïen0Jacques Morel1Department of Rheumatology, Lapeyronie Hospital, University Montpellier I-II and IGMM-UMR5535, CNRS 1919, Route de Mende, 34295 Montpellier Cedex 5, FranceDepartment of Rheumatology, Lapeyronie Hospital, University Montpellier I-II and IGMM-UMR5535, CNRS 1919, Route de Mende, 34295 Montpellier Cedex 5, FranceMany therapies are now available for patients with rheumatoid arthritis (RA) who have an inadequate response to methotrexate including tumor necrosis factor inhibitors, abatacept, tocilizumab, and rituximab. Clinical response to drugs varies widely between individuals. A part of this variability is due to the characteristics of the patient such as age, gender, concomitant therapies, body mass index, or smoking status. Clinical response also depends on disease characteristics including disease activity and severity and presence of autoantibodies. Genetic background, cytokine levels, and immune cell phenotypes could also influence biological therapy response. This review summarizes the impact of all those parameters on response to biological therapies.http://dx.doi.org/10.1155/2014/386148 |
spellingShingle | Claire I. Daïen Jacques Morel Predictive Factors of Response to Biological Disease Modifying Antirheumatic Drugs: Towards Personalized Medicine Mediators of Inflammation |
title | Predictive Factors of Response to Biological Disease Modifying Antirheumatic Drugs: Towards Personalized Medicine |
title_full | Predictive Factors of Response to Biological Disease Modifying Antirheumatic Drugs: Towards Personalized Medicine |
title_fullStr | Predictive Factors of Response to Biological Disease Modifying Antirheumatic Drugs: Towards Personalized Medicine |
title_full_unstemmed | Predictive Factors of Response to Biological Disease Modifying Antirheumatic Drugs: Towards Personalized Medicine |
title_short | Predictive Factors of Response to Biological Disease Modifying Antirheumatic Drugs: Towards Personalized Medicine |
title_sort | predictive factors of response to biological disease modifying antirheumatic drugs towards personalized medicine |
url | http://dx.doi.org/10.1155/2014/386148 |
work_keys_str_mv | AT claireidaien predictivefactorsofresponsetobiologicaldiseasemodifyingantirheumaticdrugstowardspersonalizedmedicine AT jacquesmorel predictivefactorsofresponsetobiologicaldiseasemodifyingantirheumaticdrugstowardspersonalizedmedicine |