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Effect of prednisone on type I interferon signature in rheumatoid arthritis: consequences for response prediction to rituximab

Overview of attention for article published in Arthritis Research & Therapy, March 2015
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Title
Effect of prednisone on type I interferon signature in rheumatoid arthritis: consequences for response prediction to rituximab
Published in
Arthritis Research & Therapy, March 2015
DOI 10.1186/s13075-015-0564-y
Pubmed ID
Authors

Tamarah D de Jong, Saskia Vosslamber, Marjolein Blits, Gertjan Wolbink, Mike T Nurmohamed, Conny J van der Laken, Gerrit Jansen, Alexandre E Voskuyl, Cornelis L Verweij

Abstract

Elevated type I interferon (IFN) response gene (IRG) expression has proven clinical relevance in predicting rituximab non-response in rheumatoid arthritis (RA). Interference between glucocorticoids (GCs) and type I IFN signaling has been demonstrated in vitro. Since GC use and dose are highly variable among patients before rituximab treatment, the aim of this study was to determine the effect of GC use on IRG expression in relation to rituximab response prediction in RA. In two independent cohorts of 32 and 182 biologic-free RA patients and a third cohort of 40 rituximab-starting RA patients, peripheral blood expression of selected IRGs was determined by microarray or quantitative real-time polymerase chain reaction (qPCR), and an IFN-score was calculated. The baseline IFN-score was tested for its predictive value towards rituximab response in relation to GC use using receiver operating characteristics (ROC) analysis in the rituximab cohort. Patients with a decrease in disease activity score (∆DAS28) >1.2 after 6 months of rituximab were considered responders. We consistently observed suppression of IFN-score in prednisone users (PREDN(+)) compared to non-users (PREDN(-)). In the rituximab cohort, analysis on PREDN(-) patients (n = 13) alone revealed improved prediction of rituximab non-response based on baseline IFN-score, with an area under the curve (AUC) of 0.975 compared to 0.848 in all patients (n = 40). Using a group-specific IFN-score cut-off for all patients and PREDN(-) patients alone, sensitivity increased from 41% to 88%, respectively, combined with 100% specificity. Because of prednisone-related suppression of IFN-score, higher accuracy of rituximab response prediction was achieved in PREDN(-) patients. These results suggest that the IFN-score-based rituximab response prediction model could be improved upon implementation of prednisone use.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Germany 1 3%
Unknown 37 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 23%
Researcher 4 10%
Student > Ph. D. Student 4 10%
Student > Doctoral Student 3 8%
Student > Bachelor 2 5%
Other 7 18%
Unknown 10 26%
Readers by discipline Count As %
Medicine and Dentistry 11 28%
Immunology and Microbiology 7 18%
Agricultural and Biological Sciences 4 10%
Biochemistry, Genetics and Molecular Biology 2 5%
Psychology 2 5%
Other 3 8%
Unknown 10 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 July 2020.
All research outputs
#20,655,488
of 25,373,627 outputs
Outputs from Arthritis Research & Therapy
#2,907
of 3,381 outputs
Outputs of similar age
#206,901
of 278,101 outputs
Outputs of similar age from Arthritis Research & Therapy
#62
of 73 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,381 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one is in the 7th percentile – i.e., 7% of its peers scored the same or lower than it.
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We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.