Literature DB >> 19609487

Efficacy of tocilizumab and evaluation of clinical remission as determined by CDAI and MMP-3 level.

Keiko Funahashi1, Satoru Koyano, Takako Miura, Takafumi Hagiwara, Kosuke Okuda, Tsukasa Matsubara.   

Abstract

Tocilizumab, a biological agent developed in Japan, is a human anti-interleukin-6 (anti-IL-6) receptor antibody. Rheumatoid arthritis improves with its use. A remission rate of 59% is attainable, as measured by disease activity score 28 (DAS28) in the SAMURAI study. However, in tocilizumab treatment, C-reactive protein (CRP) and erythrocyte sedimentation rate (ESR) levels drop to negative values; therefore we sought to utilize a different index for measuring its efficacy. In order to evaluate the effects of tocilizumab we carried out this study using clinical disease activity index (CDAI), as it is not reliant on blood data and would also allow us to determine which markers are present in remission. Twenty-two patients under treatment with tocilizumab participated in this study. Effects of treatment as well as the remission rate were measured by CDAI and DAS28 3 months after initiation of treatment. IL-6 and matrix metalloproteinase-3 (MMP-3) levels were measured at the same time. We studied the clinical efficacy of tocilizumab using DAS28 after treatment; remission as measured by DAS28 was 57.1% at 1 year. However, the remission rate as measured by CDAI was only 19.1% at 1 year. CDAI was not only correlated with DAS28, but also other clinical variables, MMP-3, and IL-6. We conclude that CDAI is effective in measuring clinical response to tocilizumab treatment, and that MMP-3 level is as useful as IL-6 level as an indicator.

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Year:  2009        PMID: 19609487     DOI: 10.1007/s10165-009-0203-z

Source DB:  PubMed          Journal:  Mod Rheumatol        ISSN: 1439-7595            Impact factor:   3.023


  10 in total

1.  Clinical results for tocilizumab over one year in the clinical setting as assessed by CDAI (clinical disease activity index): CRP at week 12 and MMP-3 at week 24 are predictive factors for CDAI.

Authors:  Atsushi Kaneko; Daihei Kida; Kiwamu Saito; Masami Tsukamoto; Tomotaro Sato
Journal:  Rheumatol Int       Date:  2011-11-30       Impact factor: 2.631

2.  The roles of interleukin-6 in the pathogenesis of rheumatoid arthritis.

Authors:  Misato Hashizume; Masahiko Mihara
Journal:  Arthritis       Date:  2011-05-26

3.  Expression of K2P5.1 potassium channels on CD4+ T lymphocytes correlates with disease activity in rheumatoid arthritis patients.

Authors:  Stefan Bittner; Nicole Bobak; Martin Feuchtenberger; Alexander M Herrmann; Kerstin Göbel; Raimund W Kinne; Anker J Hansen; Thomas Budde; Christoph Kleinschnitz; Oliver Frey; Hans-Peter Tony; Heinz Wiendl; Sven G Meuth
Journal:  Arthritis Res Ther       Date:  2011-02-11       Impact factor: 5.156

4.  Evaluation of tocilizumab therapy in patients with rheumatoid arthritis based on FDG-PET/CT.

Authors:  Koichi Okamura; Yukio Yonemoto; Chisa Okura; Tetsuya Higuchi; Yoshito Tsushima; Kenji Takagishi
Journal:  BMC Musculoskelet Disord       Date:  2014-11-22       Impact factor: 2.362

5.  Continuously elevated serum matrix metalloproteinase-3 for 3 ~ 6 months predict one-year radiographic progression in rheumatoid arthritis: a prospective cohort study.

Authors:  Jian-Da Ma; Xiu-Ning Wei; Dong-Hui Zheng; Ying-Qian Mo; Le-Feng Chen; Xiang Zhang; Jin-Hua Li; Jing-Hua Li; Lie Dai
Journal:  Arthritis Res Ther       Date:  2015-10-14       Impact factor: 5.156

Review 6.  Recent advances in neutralizing the IL-6 pathway in arthritis.

Authors:  Charles J Malemud
Journal:  Open Access Rheumatol       Date:  2009-10-05

Review 7.  Tocilizumab, a humanized anti-interleukin-6 receptor antibody, for treatment of rheumatoid arthritis.

Authors:  Masahiko Mihara; Yoshiyuki Ohsugi; Tadamitsu Kishimoto
Journal:  Open Access Rheumatol       Date:  2011-02-25

8.  Use and effectiveness of tocilizumab among patients with rheumatoid arthritis: an observational study from the British Society for Rheumatology Biologics Register for rheumatoid arthritis.

Authors:  Mari Kihara; Rebecca Davies; Lianne Kearsley-Fleet; Kath D Watson; Mark Lunt; Deborah P M Symmons; Kimme L Hyrich
Journal:  Clin Rheumatol       Date:  2016-12-02       Impact factor: 2.980

Review 9.  Could biomarkers of bone, cartilage or synovium turnover be used for relapse prediction in rheumatoid arthritis patients?

Authors:  Delphine Dénarié; Elodie Constant; Thierry Thomas; Hubert Marotte
Journal:  Mediators Inflamm       Date:  2014-03-12       Impact factor: 4.711

10.  Differential long-term retention of biological disease-modifying antirheumatic drugs in patients with rheumatoid arthritis by age group from the FIRST registry.

Authors:  Akio Kawabe; Kazuhisa Nakano; Satoshi Kubo; Takeshi Asakawa; Yoshiya Tanaka
Journal:  Arthritis Res Ther       Date:  2020-06-08       Impact factor: 5.156

  10 in total

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