Literature DB >> 25990005

Predictors of response to TNF-α antagonist therapy in Chinese rheumatoid arthritis.

Rui Ding1, Ping Li, Ding Song, Xin Zhang, Liqi Bi.   

Abstract

This study aimed to investigate the clinical, immunological, and radiologic predictors of response to tumor necrosis factor (TNF)-α antagonist therapy in Chinese rheumatoid arthritis (RA). Ninety RA patients were divided into two groups according to their responsiveness to TNF-α antagonist therapy at 1 month: group A (responders) and group B (non-responders). After 3 months of therapy, all the 90 patients were re-assessed and re-divided into another two groups: group C (responders) and group D (non-responders). Serum samples and clinical characteristics as well as radiographic features were collected at baseline, first month, and third month post-initial administration of TNF-α antagonist. Serum TNF-α, interleukin (IL)-6, IL-8, IL-34, and matrix metalloproteinase (MMP)-3 were measured by enzyme-linked immunosorbent assay (ELISA). Disease activity and Sharp score were evaluated. (1) Comparisons between groups A and B: subjects in group A showed a lower level of erythrocyte sedimentation rate (ESR) and a higher level of albumin (ALB) at baseline than that of group B (p < 0.05). The cutoff value of ALB for prediction was ≥34.9 g/l and that of ESR was ≤55.5 mm/h. (2) Comparisons between groups C and D: group C showed lower levels of ESR, health assessment questionnaire (HAQ), and IL-34 at baseline (p < 0.05). The threshold for prediction were as follows: ESR ≤60 mm/h, HAQ ≤1.3125, and IL-34 ≤194.12 pg/ml. (3) The serum cytokines were positively correlated with C-reactive protein (CRP) and disease activity index, while ALB was negatively correlated with CRP and disease activity. Baseline ALB ≥34.9 g/l or ESR ≤55.5 mm/h might predict a good response at 1-month treatment of TNF-α antagonist, while baseline ESR ≤60 mm/h, HAQ ≤1.3125, and IL-34 ≤194.12 pg/ml might predict a good response at 3-month treatment.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 25990005     DOI: 10.1007/s10067-015-2973-3

Source DB:  PubMed          Journal:  Clin Rheumatol        ISSN: 0770-3198            Impact factor:   2.980


  28 in total

1.  How to read radiographs according to the Sharp/van der Heijde method.

Authors:  D van der Heijde
Journal:  J Rheumatol       Date:  2000-01       Impact factor: 4.666

2.  The effect of smoking on response and drug survival in rheumatoid arthritis patients treated with their first anti-TNF drug.

Authors:  M K Söderlin; I F Petersson; P Geborek
Journal:  Scand J Rheumatol       Date:  2011-11-28       Impact factor: 3.641

3.  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

4.  Patients with early rheumatoid arthritis who smoke are less likely to respond to treatment with methotrexate and tumor necrosis factor inhibitors: observations from the Epidemiological Investigation of Rheumatoid Arthritis and the Swedish Rheumatology Register cohorts.

Authors:  Saedis Saevarsdottir; Sara Wedrén; Maria Seddighzadeh; Camilla Bengtsson; Annmarie Wesley; Staffan Lindblad; Johan Askling; Lars Alfredsson; Lars Klareskog
Journal:  Arthritis Rheum       Date:  2011-01

5.  Predictors of response to anti-TNF-alpha therapy among patients with rheumatoid arthritis: results from the British Society for Rheumatology Biologics Register.

Authors:  K L Hyrich; K D Watson; A J Silman; D P M Symmons
Journal:  Rheumatology (Oxford)       Date:  2006-05-16       Impact factor: 7.580

6.  Analysis of SF and plasma cytokines provides insights into the mechanisms of inflammatory arthritis and may predict response to therapy.

Authors:  Helen L Wright; Roger C Bucknall; Robert J Moots; Steven W Edwards
Journal:  Rheumatology (Oxford)       Date:  2011-12-16       Impact factor: 7.580

7.  Treatment responses and their predictors in patients with rheumatoid arthritis treated with biological agents.

Authors:  Shino Yuasa; Harutaka Yamaguchi; Yoshinori Nakanishi; Shingo Kawaminami; Ryo Tabata; Nobuhiko Shimizu; Mitsuhiro Kohno; Teruki Shimizu; Junya Miyata; Mayuko Nakayama; Jun Kishi; Yuko Toyoda; Yasuhiko Nishioka; Kenji Tani
Journal:  J Med Invest       Date:  2013

Review 8.  Clinical parameters and biomarkers for anti-TNF treatment prognosis in rheumatoid arthritis patients.

Authors:  Miguel Cuchacovich; Daniel Bueno; Rodrigo Carvajal; Nicolás Bravo; Juan Carlos Aguillón; Diego Catalán; Lilian Soto
Journal:  Clin Rheumatol       Date:  2014-08-02       Impact factor: 2.980

9.  Protein biochip array technology for cytokine profiling predicts etanercept responsiveness in rheumatoid arthritis.

Authors:  S Fabre; A M Dupuy; N Dossat; C Guisset; J D Cohen; J P Cristol; J P Daures; C Jorgensen
Journal:  Clin Exp Immunol       Date:  2008-06-18       Impact factor: 4.330

10.  Interleukin-34 produced by human fibroblast-like synovial cells in rheumatoid arthritis supports osteoclastogenesis.

Authors:  Seung-Jun Hwang; Bongkun Choi; Soon-Suk Kang; Jae-Ho Chang; Yong-Gil Kim; Yeon-Ho Chung; Dong Hyun Sohn; Min Wook So; Chang-Keun Lee; William H Robinson; Eun-Ju Chang
Journal:  Arthritis Res Ther       Date:  2012-01-20       Impact factor: 5.156

View more
  8 in total

1.  Anti-inflammatory and anti-angiogenic activities in vitro of eight diterpenes from Daphne genkwa based on hierarchical cluster and principal component analysis.

Authors:  Ling Wang; Xin-Yi Lan; Jun Ji; Chun-Feng Zhang; Fei Li; Chong-Zhi Wang; Chun-Su Yuan
Journal:  J Nat Med       Date:  2018-04-21       Impact factor: 2.343

Review 2.  Functions of interleukin-34 and its emerging association with rheumatoid arthritis.

Authors:  Ren-Peng Zhou; Xiao-Shan Wu; Ya-Ya Xie; Bei-Bei Dai; Wei Hu; Jin-Fang Ge; Fei-Hu Chen
Journal:  Immunology       Date:  2016-09-23       Impact factor: 7.397

Review 3.  Immunoregulatory properties of the cytokine IL-34.

Authors:  Carole Guillonneau; Séverine Bézie; Ignacio Anegon
Journal:  Cell Mol Life Sci       Date:  2017-03-03       Impact factor: 9.261

Review 4.  The twin cytokines interleukin-34 and CSF-1: masterful conductors of macrophage homeostasis.

Authors:  Javier Muñoz-Garcia; Denis Cochonneau; Stéphane Télétchéa; Emilie Moranton; Didier Lanoe; Régis Brion; Frédéric Lézot; Marie-Françoise Heymann; Dominique Heymann
Journal:  Theranostics       Date:  2021-01-01       Impact factor: 11.556

Review 5.  Communications Between Bone Marrow Macrophages and Bone Cells in Bone Remodeling.

Authors:  Kaixuan Chen; Yurui Jiao; Ling Liu; Mei Huang; Chen He; Wenzhen He; Jing Hou; Mi Yang; Xianghang Luo; Changjun Li
Journal:  Front Cell Dev Biol       Date:  2020-12-22

Review 6.  Traditional Tibetan medicine: therapeutic potential in rheumatoid arthritis.

Authors:  Liqiong Yu; Shiling Li; Lili Pu; Chunhong Yang; Qian Shi; Qi Zhao; Shengbu Meniga; Yue Liu; Yi Zhang; Xianrong Lai
Journal:  Front Pharmacol       Date:  2022-10-04       Impact factor: 5.988

Review 7.  Immunomodulation of Interleukin-34 and its Potential Significance as a Disease Biomarker and Therapeutic Target.

Authors:  Yun Ge; Man Huang; Yong-Ming Yao
Journal:  Int J Biol Sci       Date:  2019-07-20       Impact factor: 6.580

8.  Emerging roles of IL-34 in health and disease.

Authors:  Iva Lelios; Dilay Cansever; Sebastian G Utz; Wiebke Mildenberger; Sebastian A Stifter; Melanie Greter
Journal:  J Exp Med       Date:  2020-03-02       Impact factor: 14.307

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.