Important advances have occurred during the last decade in the understanding of the pathogenesis of rheumatoid arthritis (RA). However, we are still far from having a clear picture of the molecular network that predisposes an individual to develop the disease, to worsen the symptoms after that, or to successfully respond to a specific treatment. In this sense, different -omics fields (including transcriptomics, proteomics, metabolomics, genomics and epigenomics) have recently produced promising insights that could definitively help us to sharpen such picture if integrated trough a systems biology approach. In this review we will summarise and discuss the recent progress achieved in those fields and its possible impact on the discovery of suitable biomarkers for RA diagnosis, prognosis and treatment response.
Keywords: Rheumatoid arthritis; biomarkers; epigenomics; genomics; metabolomics; proteomics; transcriptomics.