Literature DB >> 21454308

The value of rheumatoid factor and anti-citrullinated protein antibodies as predictors of response to infliximab in rheumatoid arthritis: an exploratory study.

Ruth Klaasen1, Tineke Cantaert, Carla A Wijbrandts, Christine Teitsma, Danielle M Gerlag, Theo A Out, Monique J de Nooijer, Dominique Baeten, Paul P Tak.   

Abstract

OBJECTIVE: It remains unclear whether autoantibodies are useful biomarkers to tailor the choice of biological treatment in RA. We investigated the relationship between the presence and levels of different RF and ACPA isotypes and the response to TNF blockade in an exploratory study.
METHODS: A total of 101 active RA patients were prospectively treated with infliximab (3 mg/kg). Changes in disease activity were monitored by the 28-joint DAS (DAS-28). Serum levels of different isotypes [immunoglobulins M, G and A (IgM, IgG and IgA)] of RF and anti-citrullinated peptide antibodies were measured by ELISA.
RESULTS: The mean DAS-28 decreased from 5.9 (1.1) at baseline to 4.0 (1.3) at Week 16 of infliximab treatment (P < 0.001). High baseline levels of different isotypes of RF (all P < 0.008), ACPA IgM (P = 0.008) and ACPA IgG (P = 0.07) were associated with an absolute decrease in DAS-28 after TNF blockade. This relationship persisted after adjusting for DAS-28 at baseline. However, the different isotypes of baseline RF and ACPA levels accounted for only a small proportion of variance in treatment response (RF: R² between 7 and 12% and ACPA: R² between 4 and 7%). The simultaneous presence of all three isotypes of RF or ACPA had no additive value.
CONCLUSION: Presence as well as the titres of RF and IgM ACPA at baseline are significantly correlated with better response to infliximab treatment. However, this correlation is not strong enough to allow a reliable prediction in individual patients. Trial Registration. ISRCTN Register, http://www.controlled-trials.com/isrctn/, ISRCTN36847425.

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Year:  2011        PMID: 21454308     DOI: 10.1093/rheumatology/ker010

Source DB:  PubMed          Journal:  Rheumatology (Oxford)        ISSN: 1462-0324            Impact factor:   7.580


  23 in total

Review 1.  Human leukocyte antigen polymorphisms and personalized medicine for rheumatoid arthritis.

Authors:  Hiroshi Furukawa; Shomi Oka; Kota Shimada; Atsushi Hashimoto; Shigeto Tohma
Journal:  J Hum Genet       Date:  2015-04-23       Impact factor: 3.172

2.  Association between seropositivity and discontinuation of tumor necrosis factor inhibitors due to ineffectiveness in rheumatoid arthritis.

Authors:  Yoshikazu Ogawa; Nobunori Takahashi; Atsushi Kaneko; Yuji Hirano; Yasuhide Kanayama; Yuichiro Yabe; Takeshi Oguchi; Takayoshi Fujibayashi; Hideki Takagi; Masahiro Hanabayashi; Koji Funahashi; Masatoshi Hayashi; Seiji Tsuboi; Shuji Asai; Nobuyuki Asai; Takuya Matsumoto; Yasumori Sobue; Naoki Ishiguro; Toshihisa Kojima
Journal:  Clin Rheumatol       Date:  2019-06-10       Impact factor: 2.980

3.  NF-κB and Rheumatoid Arthritis: Will Understanding Genetic Risk Lead to a Therapeutic Reward?

Authors:  Robert Scheinman
Journal:  For Immunopathol Dis Therap       Date:  2013-04-01

4.  Differential efficacy of TNF inhibitors with or without the immunoglobulin fragment crystallizable (Fc) portion in rheumatoid arthritis: the ANSWER cohort study.

Authors:  Yoichi Nakayama; Ryu Watanabe; Kosaku Murakami; Koichi Murata; Masao Tanaka; Hiromu Ito; Wataru Yamamoto; Kosuke Ebina; Kenichiro Hata; Yuri Hiramatsu; Masaki Katayama; Yonsu Son; Hideki Amuro; Kengo Akashi; Akira Onishi; Ryota Hara; Keiichi Yamamoto; Koichiro Ohmura; Shuichi Matsuda; Akio Morinobu; Motomu Hashimoto
Journal:  Rheumatol Int       Date:  2022-03-10       Impact factor: 2.631

5.  [Biomarkers and personalized medicine].

Authors:  H U Scherer; G-R Burmester; T Häupl
Journal:  Z Rheumatol       Date:  2013-02       Impact factor: 1.372

6.  [Personalized medicine in cytokine-targeted therapy].

Authors:  F Behrens; M Köhm
Journal:  Z Rheumatol       Date:  2013-02       Impact factor: 1.372

7.  A personalized medicine approach to biologic treatment of rheumatoid arthritis: a preliminary treatment algorithm.

Authors:  Paul P Tak
Journal:  Rheumatology (Oxford)       Date:  2011-09-02       Impact factor: 7.580

8.  Predictors of European League Against Rheumatism (EULAR) good response, DAS-28 remission and sustained responses to TNF-inhibitors in rheumatoid arthritis: a prospective study in refractory disease.

Authors:  Reem Hamdy A Mohammed; Faisal Farahat; Hanady H Kewan; Mohammed A Bukhari
Journal:  Springerplus       Date:  2015-05-01

9.  Serum survivin predicts responses to treatment in active rheumatoid arthritis: a post hoc analysis from the SWEFOT trial.

Authors:  Adrian Levitsky; Malin C Erlandsson; Ronald F van Vollenhoven; Maria I Bokarewa
Journal:  BMC Med       Date:  2015-09-30       Impact factor: 8.775

10.  Rituximab versus an alternative TNF inhibitor in patients with rheumatoid arthritis who failed to respond to a single previous TNF inhibitor: SWITCH-RA, a global, observational, comparative effectiveness study.

Authors:  P Emery; J E Gottenberg; A Rubbert-Roth; P Sarzi-Puttini; D Choquette; V M Martínez Taboada; L Barile-Fabris; R J Moots; A Ostor; A Andrianakos; E Gemmen; C Mpofu; C Chung; L Hinsch Gylvin; A Finckh
Journal:  Ann Rheum Dis       Date:  2014-01-17       Impact factor: 19.103

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