Literature DB >> 22467923

Peripheral blood gene expression and IgG glycosylation profiles as markers of tocilizumab treatment in rheumatoid arthritis.

Bertalan Mesko1, Szilard Poliska, Szilvia Szamosi, Zoltan Szekanecz, Janos Podani, Csaba Varadi, Andras Guttman, Laszlo Nagy.   

Abstract

OBJECTIVE: Tocilizumab, a humanized anti-interleukin-6 receptor monoclonal antibody, has recently been approved as a biological therapy for rheumatoid arthritis (RA) and other diseases. It is not known if there are characteristic changes in gene expression and immunoglobulin G glycosylation during therapy or in response to treatment.
METHODS: Global gene expression profiles from peripheral blood mononuclear cells of 13 patients with RA and active disease at Week 0 (baseline) and Week 4 following treatment were obtained together with clinical measures, serum cytokine levels using ELISA, and the degree of galactosylation of the IgG N-glycan chains. Gene sets separating responders and nonresponders were tested using canonical variates analysis. This approach also revealed important gene groups and pathways that differentiate responders from nonresponders.
RESULTS: Fifty-nine genes showed significant differences between baseline and Week 4 and thus correlated with treatment. Significantly, 4 genes determined responders after correction for multiple testing. Ten of the 12 genes with the most significant changes were validated using real-time quantitative polymerase chain reaction. An increase in the terminal galactose content of N-linked glycans of IgG was observed in responders versus nonresponders, as well as in treated samples versus samples obtained at baseline.
CONCLUSION: As a preliminary report, gene expression changes as a result of tocilizumab therapy in RA were examined, and gene sets discriminating between responders and nonresponders were found and validated. A significant increase in the degree of galactosylation of IgG N-glycans in patients with RA treated with tocilizumab was documented.

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Year:  2012        PMID: 22467923     DOI: 10.3899/jrheum.110961

Source DB:  PubMed          Journal:  J Rheumatol        ISSN: 0315-162X            Impact factor:   4.666


  12 in total

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Review 2.  Genetics of rheumatoid arthritis - a comprehensive review.

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Review 3.  Pharmacogenetics and pharmacogenomics in rheumatology.

Authors:  Zoltán Szekanecz; Bertalan Meskó; Szilard Poliska; Andrea Váncsa; Szilvia Szamosi; Edit Végh; Enikö Simkovics; Judit Laki; Júlia Kurkó; Timea Besenyei; Katalin Mikecz; Tibor T Glant; László Nagy
Journal:  Immunol Res       Date:  2013-07       Impact factor: 2.829

4.  Inflammatory bowel disease associates with proinflammatory potential of the immunoglobulin G glycome.

Authors:  Irena Trbojević Akmačić; Nicholas T Ventham; Evropi Theodoratou; Frano Vučković; Nicholas A Kennedy; Jasminka Krištić; Elaine R Nimmo; Rahul Kalla; Hazel Drummond; Jerko Štambuk; Malcolm G Dunlop; Mislav Novokmet; Yurii Aulchenko; Olga Gornik; Harry Campbell; Maja Pučić Baković; Jack Satsangi; Gordan Lauc
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5.  Blood-based identification of non-responders to anti-TNF therapy in rheumatoid arthritis.

Authors:  Ty M Thomson; Reynald M Lescarbeau; David A Drubin; Daphna Laifenfeld; David de Graaf; David A Fryburg; Bruce Littman; Renée Deehan; Aaron Van Hooser
Journal:  BMC Med Genomics       Date:  2015-06-03       Impact factor: 3.063

6.  Glycomic signatures on serum IgGs for prediction of postvaccination response.

Authors:  Jing-Rong Wang; Wen-Da Guan; Lee-Fong Yau; Wei-Na Gao; Yang-Qing Zhan; Liang Liu; Zi-Feng Yang; Zhi-Hong Jiang
Journal:  Sci Rep       Date:  2015-01-23       Impact factor: 4.379

7.  A Comprehensive Gene Expression Meta-analysis Identifies Novel Immune Signatures in Rheumatoid Arthritis Patients.

Authors:  Sumbul Afroz; Jeevan Giddaluru; Sandeep Vishwakarma; Saima Naz; Aleem Ahmed Khan; Nooruddin Khan
Journal:  Front Immunol       Date:  2017-02-02       Impact factor: 7.561

8.  IgG Galactosylation status combined with MYOM2-rs2294066 precisely predicts anti-TNF response in ankylosing spondylitis.

Authors:  Jing Liu; Qi Zhu; Jing Han; Hui Zhang; Yuan Li; Yanyun Ma; Dongyi He; Jianxin Gu; Xiaodong Zhou; John D Reveille; Li Jin; Hejian Zou; Shifang Ren; Jiucun Wang
Journal:  Mol Med       Date:  2019-06-13       Impact factor: 6.354

Review 9.  Gene expression analysis in RA: towards personalized medicine.

Authors:  A N Burska; K Roget; M Blits; L Soto Gomez; F van de Loo; L D Hazelwood; C L Verweij; A Rowe; G N Goulielmos; L G M van Baarsen; F Ponchel
Journal:  Pharmacogenomics J       Date:  2014-03-04       Impact factor: 3.550

Review 10.  Right drug, right patient, right time: aspiration or future promise for biologics in rheumatoid arthritis?

Authors:  Vasco C Romão; Edward M Vital; João Eurico Fonseca; Maya H Buch
Journal:  Arthritis Res Ther       Date:  2017-10-24       Impact factor: 5.156

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