Literature DB >> 18250114

Gene expression profiling in rheumatoid arthritis: current concepts and future directions.

E J M Toonen1, P Barrera, T R D J Radstake, P L C M van Riel, H Scheffer, B Franke, M J H Coenen.   

Abstract

Over the last years microarray technologies have generated new perspectives for the high-throughput analysis of biological systems. Nowadays, it is possible to monitor thousands of genes in a single experiment. This molecular profiling technology combined with standardised and validated clinical measurements can allow a more precise characterisation of a patient's phenotype, and may lead to the design of therapeutic protocols and procedures better tailored to an individual patient's needs. In this report we provide an overview of expression profiling studies in rheumatoid arthritis (RA). RA is a chronic inflammatory disease in which both genetic and environmental factors are involved. The precise molecular mechanisms underlying RA are not fully understood. A systematic literature search revealed nine array-based expression profiling studies in patients with RA. Findings from these studies were compared with those of linkage and genome-wide association (GWA) studies. Although we observed many differences in study design, analysis and interpretation of results between the different studies, we extracted two sets of genes: (1) those differentially expressed in more than one study, and (2) genes differentially expressed in at least one of the reviewed studies and present in RA linkage or GWA loci. We suggest that both sets of genes include interesting candidate genes for further study in RA.

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Year:  2008        PMID: 18250114     DOI: 10.1136/ard.2007.076588

Source DB:  PubMed          Journal:  Ann Rheum Dis        ISSN: 0003-4967            Impact factor:   19.103


  16 in total

Review 1.  Studying disability trends in aging populations.

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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.  Early and long-standing rheumatoid arthritis: distinct molecular signatures identified by gene-expression profiling in synovia.

Authors:  Thierry Lequerré; Carine Bansard; Olivier Vittecoq; Céline Derambure; Martine Hiron; Maryvonne Daveau; François Tron; Xavier Ayral; Norman Biga; Isabelle Auquit-Auckbur; Gilles Chiocchia; Xavier Le Loët; Jean-Philippe Salier
Journal:  Arthritis Res Ther       Date:  2009-06-29       Impact factor: 5.156

4.  Differential gene expression of peripheral blood mononuclear cells from rheumatoid arthritis patients may discriminate immunogenetic, pathogenic and treatment features.

Authors:  Cristina Moraes Junta; Paula Sandrin-Garcia; Ana Lúcia Fachin-Saltoratto; Stephano Spanó Mello; Renê D R Oliveira; Diane Meyre Rassi; Silvana Giuliatti; Elza Tiemi Sakamoto-Hojo; Paulo Louzada-Junior; Eduardo Antonio Donadi; Geraldo A S Passos
Journal:  Immunology       Date:  2008-12-17       Impact factor: 7.397

5.  Validation study of existing gene expression signatures for anti-TNF treatment in patients with rheumatoid arthritis.

Authors:  Erik J M Toonen; Christian Gilissen; Barbara Franke; Wietske Kievit; Agnes M Eijsbouts; Alfons A den Broeder; Simon V van Reijmersdal; Joris A Veltman; Hans Scheffer; Timothy R D J Radstake; Piet L C M van Riel; Pilar Barrera; Marieke J H Coenen
Journal:  PLoS One       Date:  2012-03-21       Impact factor: 3.240

Review 6.  Applications of systems approaches in the study of rheumatic diseases.

Authors:  Ki-Jo Kim; Saseong Lee; Wan-Uk Kim
Journal:  Korean J Intern Med       Date:  2015-02-27       Impact factor: 2.884

7.  Divergent gene activation in peripheral blood and tissues of patients with rheumatoid arthritis, psoriatic arthritis and psoriasis following infliximab therapy.

Authors:  Alexander Rosenberg; Hongtao Fan; Yahui G Chiu; Rebecca Bolce; Darren Tabechian; Rick Barrett; Sharon Moorehead; Frédéric Baribaud; Hao Liu; Nancy Peffer; David Shealy; Edward M Schwarz; Christopher T Ritchlin
Journal:  PLoS One       Date:  2014-10-21       Impact factor: 3.240

8.  Transcriptome analysis describing new immunity and defense genes in peripheral blood mononuclear cells of rheumatoid arthritis patients.

Authors:  Vitor Hugo Teixeira; Robert Olaso; Marie-Laure Martin-Magniette; Sandra Lasbleiz; Laurent Jacq; Catarina Resende Oliveira; Pascal Hilliquin; Ivo Gut; François Cornelis; Elisabeth Petit-Teixeira
Journal:  PLoS One       Date:  2009-08-27       Impact factor: 3.240

9.  From desk to bed: computational simulations provide indication for rheumatoid arthritis clinical trials.

Authors:  Jennifer E Dent; Christine Nardini
Journal:  BMC Syst Biol       Date:  2013-01-22

10.  Pharmacogenetics of rheumatoid arthritis: Potential targets from susceptibility genes and present therapies.

Authors:  Darren D O'Rielly; Proton Rahman
Journal:  Pharmgenomics Pers Med       Date:  2010-03-30
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