Predictive Factors of Response to Biological Disease Modifying Antirheumatic Drugs: Towards Personalized Medicine

Joint Authors

Daïen, Claire I.
Morel, Jacques

Source

Mediators of Inflammation

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-01-12

Country of Publication

Egypt

No. of Pages

11

Main Subjects

Diseases

Abstract EN

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.

American Psychological Association (APA)

Daïen, Claire I.& Morel, Jacques. 2014. Predictive Factors of Response to Biological Disease Modifying Antirheumatic Drugs: Towards Personalized Medicine. Mediators of Inflammation،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1043526

Modern Language Association (MLA)

Daïen, Claire I.& Morel, Jacques. Predictive Factors of Response to Biological Disease Modifying Antirheumatic Drugs: Towards Personalized Medicine. Mediators of Inflammation No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-1043526

American Medical Association (AMA)

Daïen, Claire I.& Morel, Jacques. Predictive Factors of Response to Biological Disease Modifying Antirheumatic Drugs: Towards Personalized Medicine. Mediators of Inflammation. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1043526

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1043526