Literature DB >> 17696278

Peripheral blood expression of nuclear factor-kappab-regulated genes is associated with rheumatoid arthritis disease activity and responds differentially to anti-tumor necrosis factor-alpha versus methotrexate.

Alex Parker1, Elena S Izmailova, Jigna Narang, Sunita Badola, Tinh Le, Ronenn Roubenoff, Geoffrey S Ginsburg, Agnes Maier, Jonathan S Coblyn, Nancy A Shadick, Michael E Weinblatt.   

Abstract

OBJECTIVE: To evaluate peripheral blood expression of genes regulated by nuclear factor-kappaB (NF-kappaB), a key mediator of tumor necrosis factor-alpha (TNF-alpha) signaling, in patients with rheumatoid arthritis (RA) before and during treatment with anti-TNF-alpha or methotrexate (MTX). We analyzed association of gene expression with disease activity, rheumatoid factor (RF), age, sex, disease duration, treatment modality, and clinical response.
METHODS: Sixty patients consented for RNA analysis at baseline and after 2 and 6 weeks of treatment. Disease activity was quantified using Disease Activity Score (DAS28) and C-reactive protein (CRP). Expression of 67 TNF-alpha-responsive, NF-kappaB-regulated genes was measured using Affymetrix arrays and RT-PCR.
RESULTS: Expression of 34 genes was associated with DAS28-CRP, notably S100A12/calgranulin C, IL7R, and aquaporin 3. No association was observed with age, sex, RF, or disease duration. Expression of 16 genes changed in a manner that differed significantly between treatment groups. Eleven were reduced in anti-TNF-alpha-treated patients relative to MTX, while 5 were increased. The majority of these observations were confirmed using RT-PCR. Gene expression was not associated significantly with change in disease activity.
CONCLUSION: NF-kappaB-dependent gene expression in peripheral leukocytes is highly correlated with RA activity as measured by DAS28-CRP. Expression of many genes responds differentially to anti-TNF-alpha versus MTX, suggesting fundamentally different effects on the NF-kappaB pathway. This peripheral blood expression signature provides candidate markers that could lead to development of a simple, minimally invasive pharmacodynamic assay for RA treatments directed at the NF-kappaB pathway. Combination of gene expression data with clinical scores and serum markers may provide more sensitive and predictive measures of RA disease activity.

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Year:  2007        PMID: 17696278

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


  11 in total

1.  Generation of novel pharmacogenomic candidates in response to methotrexate in juvenile idiopathic arthritis: correlation between gene expression and genotype.

Authors:  Halima Moncrieffe; Anne Hinks; Simona Ursu; Laura Kassoumeri; Angela Etheridge; Mike Hubank; Paul Martin; Tracey Weiler; David N Glass; Susan D Thompson; Wendy Thomson; Lucy R Wedderburn
Journal:  Pharmacogenet Genomics       Date:  2010-11       Impact factor: 2.089

2.  A comprehensive molecular interaction map for rheumatoid arthritis.

Authors:  Gang Wu; Lisha Zhu; Jennifer E Dent; Christine Nardini
Journal:  PLoS One       Date:  2010-04-16       Impact factor: 3.240

3.  Hypogalactosylation of serum N-glycans fails to predict clinical response to methotrexate and TNF inhibition in rheumatoid arthritis.

Authors:  Altan Ercan; Jing Cui; Melissa M Hazen; Franak Batliwalla; Louise Royle; Pauline M Rudd; Jonathan S Coblyn; Nancy Shadick; Michael E Weinblatt; Peter Gregersen; David M Lee; Peter A Nigrovic
Journal:  Arthritis Res Ther       Date:  2012-03-05       Impact factor: 5.156

4.  Network-based gene expression biomarkers for cold and heat patterns of rheumatoid arthritis in traditional chinese medicine.

Authors:  Cheng Lu; Xuyan Niu; Cheng Xiao; Gao Chen; Qinglin Zha; Hongtao Guo; Miao Jiang; Aiping Lu
Journal:  Evid Based Complement Alternat Med       Date:  2012-03-22       Impact factor: 2.629

5.  Validation of a novel multibiomarker test to assess rheumatoid arthritis disease activity.

Authors:  Jeffrey R Curtis; Annette H van der Helm-van Mil; Rachel Knevel; Tom W Huizinga; Douglas J Haney; Yijing Shen; Saroja Ramanujan; Guy Cavet; Michael Centola; Lyndal K Hesterberg; David Chernoff; Kerri Ford; Nancy A Shadick; Max Hamburger; Roy Fleischmann; Edward Keystone; Michael E Weinblatt
Journal:  Arthritis Care Res (Hoboken)       Date:  2012-12       Impact factor: 4.794

6.  Pre-treatment whole blood gene expression is associated with 14-week response assessed by dynamic contrast enhanced magnetic resonance imaging in infliximab-treated rheumatoid arthritis patients.

Authors:  Kenzie D MacIsaac; Richard Baumgartner; Jia Kang; Andrey Loboda; Charles Peterfy; Julie DiCarlo; Jonathan Riek; Chan Beals
Journal:  PLoS One       Date:  2014-12-12       Impact factor: 3.240

7.  Identification of AF4/FMR2 family, member 3 (AFF3) as a novel rheumatoid arthritis susceptibility locus and confirmation of two further pan-autoimmune susceptibility genes.

Authors:  Anne Barton; Steve Eyre; Xiayi Ke; Anne Hinks; John Bowes; Edward Flynn; Paul Martin; Anthony G Wilson; Ann W Morgan; Paul Emery; Sophia Steer; Lynne J Hocking; David M Reid; Pille Harrison; Paul Wordsworth; Wendy Thomson; Jane Worthington
Journal:  Hum Mol Genet       Date:  2009-04-09       Impact factor: 6.150

Review 8.  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

9.  B-cell phenotype and IgD-CD27- memory B cells are affected by TNF-inhibitors and tocilizumab treatment in rheumatoid arthritis.

Authors:  Rita A Moura; Cláudia Quaresma; Ana R Vieira; Maria J Gonçalves; Joaquim Polido-Pereira; Vasco C Romão; Nádia Martins; Helena Canhão; João E Fonseca
Journal:  PLoS One       Date:  2017-09-08       Impact factor: 3.240

10.  Genome-wide association study and gene expression analysis identifies CD84 as a predictor of response to etanercept therapy in rheumatoid arthritis.

Authors:  Jing Cui; Eli A Stahl; Saedis Saevarsdottir; Corinne Miceli; Dorothee Diogo; Gosia Trynka; Towfique Raj; Maša Umiċeviċ Mirkov; Helena Canhao; Katsunori Ikari; Chikashi Terao; Yukinori Okada; Sara Wedrén; Johan Askling; Hisashi Yamanaka; Shigeki Momohara; Atsuo Taniguchi; Koichiro Ohmura; Fumihiko Matsuda; Tsuneyo Mimori; Namrata Gupta; Manik Kuchroo; Ann W Morgan; John D Isaacs; Anthony G Wilson; Kimme L Hyrich; Marieke Herenius; Marieke E Doorenspleet; Paul-Peter Tak; J Bart A Crusius; Irene E van der Horst-Bruinsma; Gert Jan Wolbink; Piet L C M van Riel; Mart van de Laar; Henk-Jan Guchelaar; Nancy A Shadick; Cornelia F Allaart; Tom W J Huizinga; Rene E M Toes; Robert P Kimberly; S Louis Bridges; Lindsey A Criswell; Larry W Moreland; João Eurico Fonseca; Niek de Vries; Barbara E Stranger; Philip L De Jager; Soumya Raychaudhuri; Michael E Weinblatt; Peter K Gregersen; Xavier Mariette; Anne Barton; Leonid Padyukov; Marieke J H Coenen; Elizabeth W Karlson; Robert M Plenge
Journal:  PLoS Genet       Date:  2013-03-28       Impact factor: 5.917

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