Data presented today at the European League Against Rheumatism Annual Congress (EULAR 2014) demonstrate the possibility of using biomarkers (developed from whole blood gene expression profiles) in children with juvenile idiopathic arthritis (JIA) to predict the status of their disease at 12 months. The long-term disease status at 12 months was accurately predicted only after treatment had been initiated, in newly diagnosed patients.1
JIA is the most common childhood* chronic rheumatic disease,2 affecting 16-150 children in every 100,000. As indicated by the name, the cause of JIA is largely unknown.3
"By predicting disease progression in these young children we can better understand the course of the disease and how best to treat the individual," said lead author of the study Professor James Jarvis, from the Department of Paediatrics, University at Buffalo, Buffalo, New York.
Blood gene expression profiling has led to major advances in the field of rheumatology over the last decade but to date it has only been possible to predict therapeutic outcome at 6 months.4
"The challenge was to test the feasibility of using these prognostic biomarkers from whole blood gene expression profiles in children with newly diagnosed JIA to predict disease status at one year," explained Professor Jarvis. "Baseline expression profiles that could predict disease status at six months could not predict status at 12 months. However, using four month data (the earliest point at which samples were collected from children on treatment) we were able to determine strong predictive properties for disease status at 12 months. Thus, after children had initiated therapy longer term outcome was predictable," Professor Jarvis said.
In this study, researchers also discovered the appearance of different mechanisms of response in Rheumatoid Factor (RF) positive and RF negative patients after four months of therapy, a finding that could explain the relati
|Contact: EULAR Press Office|
European League Against Rheumatism