Literature DB >> 20478724

Biomarkers for prediction of TNFalpha blockers response in rheumatoid arthritis.

Hubert Marotte1, Pierre Miossec.   

Abstract

Tumor necrosis factor alpha (TNFalpha) is a pro-inflammatory cytokine that plays pivotal roles in regulating the inflammatory response in rheumatoid arthritis (RA). Intensive studies on TNFalpha-driven inflammation processes have led to the development of TNFalpha blockers for RA treatment. However, response to these therapies is heterogeneous with roughly two-thirds of patient response and one-third non-response. Given the destructive nature of RA, the risk of adverse effects, and considerable costs for TNFalpha blocker therapy, there is a strong need to identify predictors of response prior to start the TNFalpha blocker therapy. Here we review several studies focused on predicting the response to TNFalpha blockers. Demographic, clinical, radiological, blood, genetic or synovial tissue biomarkers were studied to find some predictive biomarkers of TNFalpha blocker response. Unfortunately, results from these studies are heterogeneous. Discrepancy between these studies can be explained in part to the heterogeneity between the studies. As difference in the response criteria used, the delay of efficacy for the primary endpoint, and the genetic background of each population were all observed. Nevertheless, a high local and systemic level of TNFalpha prior to TNFalpha blocker therapy seems to be associated with a good clinical response. However, to validate these results, additional studies using independent and large cohorts are needed. Copyright 2010 Société française de rhumatologie. Published by Elsevier SAS. All rights reserved.

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Year:  2010        PMID: 20478724     DOI: 10.1016/j.jbspin.2010.02.026

Source DB:  PubMed          Journal:  Joint Bone Spine        ISSN: 1297-319X            Impact factor:   4.929


  9 in total

1.  The presence of anti-citrullinated protein antibodies (ACPA) does not affect the clinical response to adalimumab in a group of RA patients with the tumor necrosis factor (TNF) α-308 G/G promoter polymorphism.

Authors:  Lilian Soto; Francisca Sabugo; Diego Catalan; Pamela Wurmann; Tomás Cermenatti; Héctor Gatica; Octavio Aravena; Lorena Salazar; Juan Carlos Aguillón; Miguel Cuchacovich
Journal:  Clin Rheumatol       Date:  2011-01-14       Impact factor: 2.980

2.  A predictive model for remission and low disease activity in patients with established rheumatoid arthritis receiving TNF blockers.

Authors:  Cristina Pomirleanu; Codrina Ancuta; Smaranda Miu; Rodica Chirieac
Journal:  Clin Rheumatol       Date:  2013-01-06       Impact factor: 2.980

3.  S100A12 Is Associated with Response to Therapy in Juvenile Idiopathic Arthritis.

Authors:  Faekah Gohar; Janneke Anink; Halima Moncrieffe; Lisette W A Van Suijlekom-Smit; Femke H M Prince; Marion A J van Rossum; Koert M Dolman; Esther P A H Hoppenreijs; Rebecca Ten Cate; Simona Ursu; Lucy R Wedderburn; Gerd Horneff; Michael Frosch; Dirk Foell; Dirk Holzinger
Journal:  J Rheumatol       Date:  2018-01-15       Impact factor: 4.666

4.  Pretreatment Prediction of Individual Rheumatoid Arthritis Patients' Response to Anti-Cytokine Therapy Using Serum Cytokine/Chemokine/Soluble Receptor Biomarkers.

Authors:  Kazuko Uno; Kazuyuki Yoshizaki; Mitsuhiro Iwahashi; Jiro Yamana; Seizo Yamana; Miki Tanigawa; Katsumi Yagi
Journal:  PLoS One       Date:  2015-07-15       Impact factor: 3.240

5.  PUMA gene delivery to synoviocytes reduces inflammation and degeneration of arthritic joints.

Authors:  Saw-See Hong; Hubert Marotte; Guillaume Courbon; Gary S Firestein; Pierre Boulanger; Pierre Miossec
Journal:  Nat Commun       Date:  2017-07-27       Impact factor: 14.919

6.  Methotrexate Reduced TNF Bioactivity in Rheumatoid Arthritis Patients Treated with Infliximab.

Authors:  Delphine Dénarié; Mélanie Rinaudo-Gaujous; Thierry Thomas; Stéphane Paul; Hubert Marotte
Journal:  Mediators Inflamm       Date:  2017-03-02       Impact factor: 4.711

7.  MRP8/14 serum levels as a predictor of response to starting and stopping anti-TNF treatment in juvenile idiopathic arthritis.

Authors:  Janneke Anink; Lisette W A Van Suijlekom-Smit; Marieke H Otten; Femke H M Prince; Marion A J van Rossum; Koert M Dolman; Esther P A H Hoppenreijs; Rebecca ten Cate; Simona Ursu; Lucy R Wedderburn; Gerd Horneff; Michael Frosch; Thomas Vogl; Faekah Gohar; Dirk Foell; Johannes Roth; Dirk Holzinger
Journal:  Arthritis Res Ther       Date:  2015-08-07       Impact factor: 5.156

8.  Variations in the metabolome in response to disease activity of rheumatoid arthritis.

Authors:  Zuzana Tatar; Carole Migne; Melanie Petera; Philippe Gaudin; Thierry Lequerre; Hubert Marotte; Jacques Tebib; Estelle Pujos Guillot; Martin Soubrier
Journal:  BMC Musculoskelet Disord       Date:  2016-08-22       Impact factor: 2.362

9.  High titers of both rheumatoid factor and anti-CCP antibodies at baseline in patients with rheumatoid arthritis are associated with increased circulating baseline TNF level, low drug levels, and reduced clinical responses: a post hoc analysis of the RISING study.

Authors:  Tsutomu Takeuchi; Nobuyuki Miyasaka; Takashi Inui; Toshiro Yano; Toru Yoshinari; Tohru Abe; Takao Koike
Journal:  Arthritis Res Ther       Date:  2017-09-02       Impact factor: 5.156

  9 in total

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