REVIEW

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

E J M Toonen¹, P Barrera², T R D J Radstake², P L C M van Riel², H Scheffer¹, B Franke¹, M J H Coenen¹

¹ Department of Human Genetics of the Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
² Department of Rheumatology of the Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands

Marieke J H Coenen, Department of Human Genetics, Nijmegen Centre for Molecular Life Sciences and Institute of Genetic and Metabolic Disease, Radboud University Nijmegen Medical Centre, PO Box 9101, 6500 HB Nijmegen, The Netherlands; m.coenen{at}antrg.umcn.nl

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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