title: Can rheumatoid arthritis be prevented?
abstract: The discovery of elevations of rheumatoid arthritis (RA)-related biomarkers prior to the onset of clinically apparent RA raises hopes that individuals who are at risk of future RA can be identified in a preclinical phase of disease that is defined as abnormalities of RA-related immune activity prior to the clinically apparent onset of joint disease. Additionally, there is a growing understanding of the immunologic processes that are occurring in preclinical RA, as well as a growing understanding of risk factors that may be mechanistically related to RA development. Furthermore, there are data supporting that treatment of early RA can lead to drug-free remission. Taken as a whole, these findings suggest that it may be possible to use biomarkers and other factors to accurately identify the likelihood and timing of onset of future RA, and then intervene with immunomodulatory therapies and/or risk factor modification to prevent the future onset of RA in at-risk individuals. Importantly, several clinical prevention trials for RA have already been tried, and one is underway. However, while our growing understanding of the mechanisms and natural history of RA development may be leading us to the implementation of prevention strategies for RA, there are still several challenges to be met. These include developing sufficiently accurate methods of predicting those at high risk of future RA so that clinical trials can be developed based on accurate rates of development of arthritis and subjects can be adequately informed of their risk of disease, identifying the appropriate interventions and biologic targets for optimal prevention, and addressing the psychosocial and economic aspects that are crucial to developing broadly applicable prevention measures for RA. These issues notwithstanding, prevention of RA may be within reach in the near future.
authors: Division of Rheumatology, University of Colorado School of Medicine, Aurora, CO, USA. Electronic address: Kevin.Deane@UCDenver.edu.
authors: Kevin D
authors: KD
authors: Deane
mesh_terms: D001172:Arthritis, Rheumatoid / Q000175:diagnosis / Q000188:drug therapy / Q000517:prevention & control*; D015415:Biomarkers / Q000378:metabolism; D006801:Humans; D018570:Risk Assessment
chemical_list: D015415:Biomarkers
keywords: Pathophysiology; Preclinical disease; Prediction; Prevention; Rheumatoid arthritis