Literature DB >> 21813066

Association of anti-CCP positivity and carriage of TNFRII susceptibility variant with anti-TNF-α response in rheumatoid arthritis.

Y Vasilopoulos1, V Bagiatis, D Stamatopoulou, D Zisopoulos, I Alexiou, T Sarafidou, L Settas, L Sakkas, Z Mamouris.   

Abstract

OBJECTIVES: To investigate the possible influence of tumour necrosis factor-alpha (TNF), TNF receptor I (TNFRI) and TNF receptor II (TNFRII) gene polymorphisms on anti-TNF treatment responsiveness, stratified by autoantibody status.
METHODS: A Greek multi-centre collaboration was established to recruit a cohort of patients (n=100) with active RA treated with anti-TNF drugs. TNF g.-238G>A (rs361525), g.-308G>A (rs1800629), g.-857C>T (rs1799724), TNFRI c.36A>G (rs4149584) and TNFRII c.676T>G (rs1061622) polymorphisms were genotyped by PCRRFLP assays. Serum RF and anti-CCP antibody status were determined using commercially available kits. Single-SNP, haplotype and stratification by autoantibody status analyses were performed in predicting response to treatment by 6 months, defined as the absolute change in DAS28.
RESULTS: 31 patients (31%) were defined as non-responders due to failure to fulfill the DAS28 criteria. 79% and 66% were RF and anti-CCP positive, respectively. None of the genotyped SNPs was alone associated with responsiveness to drug treatment. However, after stratification by autoantibody status, carriage of TNFRII c.676G allele was associated with poorer response to drug treatment in anti-CCP positive patients (p=0.03), after 6 months of anti-TNF therapy.
CONCLUSIONS: In concordance with previous studies, genetic polymorphisms alone cannot be used to safely predict clinical response to anti-TNF therapy however the combination of genetic factors and autoantibody status warrants further investigation in larger independent cohorts.

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Year:  2011        PMID: 21813066

Source DB:  PubMed          Journal:  Clin Exp Rheumatol        ISSN: 0392-856X            Impact factor:   4.473


  8 in total

1.  Correlation of Demographic and Clinical Characteristics with Rheumatoid Factor Seropositivity in Rheumatoid Arthritis Patients.

Authors:  Maizatul Akmal Othman; Wan Syamimee Wan Ghazali; Nurul Khaiza Yahya; Kah Keng Wong
Journal:  Malays J Med Sci       Date:  2016-12-07

2.  Pharmacogenetic analysis of TNF, TNFRSF1A, and TNFRSF1B gene polymorphisms and prediction of response to anti-TNF therapy in psoriasis patients in the Greek population.

Authors:  Yiannis Vasilopoulos; Marilena Manolika; Efterpi Zafiriou; Theologia Sarafidou; Vasilis Bagiatis; Sabine Krüger-Krasagaki; Androniki Tosca; Aikaterini Patsatsi; Dimitris Sotiriadis; Zissis Mamuris; Angeliki Roussaki-Schulze
Journal:  Mol Diagn Ther       Date:  2012-02-01       Impact factor: 4.074

3.  Pharmacogenetics of Drug Therapies in Rheumatoid Arthritis.

Authors:  Atinuke Aluko; Prabha Ranganathan
Journal:  Methods Mol Biol       Date:  2022

4.  The Clinical Impact of Seropositivity on Treatment Response in Patients with Rheumatoid Arthritis Treated with Etanercept: A Real-World Iraqi Experience.

Authors:  Asal Ridha; Saba Hussein; Ali AlJabban; Levent Mert Gunay; Faiq I Gorial; Nizar Abdulateef Al Ani
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5.  Gene Ontology Analysis Highlights Biological Processes Influencing Non-Response to Anti-TNF Therapy in Rheumatoid Arthritis.

Authors:  Gregor Jezernik; Mario Gorenjak; Uroš Potočnik
Journal:  Biomedicines       Date:  2022-07-27

Review 6.  The status of rheumatoid factor and anti-cyclic citrullinated peptide antibody are not associated with the effect of anti-TNFα agent treatment in patients with rheumatoid arthritis: a meta-analysis.

Authors:  Qianwen Lv; Yufeng Yin; Xin Li; Guangliang Shan; Xiangni Wu; Di Liang; Yongzhe Li; Xuan Zhang
Journal:  PLoS One       Date:  2014-02-27       Impact factor: 3.240

7.  TNFR2 ligation in human T regulatory cells enhances IL2-induced cell proliferation through the non-canonical NF-κB pathway.

Authors:  Jun Wang; Ricardo Ferreira; Wanhua Lu; Samatha Farrow; Kate Downes; Lutz Jermutus; Ralph Minter; Rafia S Al-Lamki; Jordan S Pober; John R Bradley
Journal:  Sci Rep       Date:  2018-08-13       Impact factor: 4.379

Review 8.  Using the Immunophenotype to Predict Response to Biologic Drugs in Rheumatoid Arthritis.

Authors:  Ben Mulhearn; Anne Barton; Sebastien Viatte
Journal:  J Pers Med       Date:  2019-10-02
  8 in total

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