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Exogenous IFN-beta regulates the RANKL-c-Fos-IFN-beta signaling pathway in the collagen antibody-induced arthritis model

Overview of attention for article published in Journal of Translational Medicine, December 2014
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Title
Exogenous IFN-beta regulates the RANKL-c-Fos-IFN-beta signaling pathway in the collagen antibody-induced arthritis model
Published in
Journal of Translational Medicine, December 2014
DOI 10.1186/s12967-014-0330-y
Pubmed ID
Authors

Rong Zhao, Ni-Nan Chen, Xiao-Wei Zhou, Ping Miao, Chao-Ying Hu, Liu Qian, Qi-Wen Yu, Ji-Ying Zhang, Hong Nie, Xue-hua Chen, Pu Li, Rong Xu, Lian-Bo Xiao, Xin Zhang, Jian-Ren Liu, Dong-Qing Zhang

Abstract

BackgroundAlthough a variety of drugs have been used to treat the symptoms of rheumatoid arthritis (RA), none of them are able to cure the disease. Interferon ß (IFN-ß) has pleiotropic effects on RA, but whether it can be used to treat RA remains globally controversial. Thus, in this study we tested the effects of IFN-ß on RA patients and on collagen antibody-induced arthritis (CAIA) model mice.MethodsThe cytokine and auto-antibody expression profiles in the serum and synovial fluid (SF) from RA patients were assessed using enzyme-linked immunosorbent assay (ELISA) and compared with the results from osteoarthritis (OA) patients. Exogenous IFN-ß was administered to RA patients and CAIA model mice, and the therapeutic effects were evaluated. Endogenous IFN-ß expression in the joint bones of CAIA model mice was evaluated by quantitative real-time PCR (qRT-PCR). The effects of exogenous IFN-ß on CAIA model mice were assessed using a clinical scoring system, hematoxylin eosin and safranin-O with fast green counterstain histology, molybdenum target X-ray, and tartrate-resistant acid phosphatase (TRAP) staining. The RANKL-RANK signaling pathway was analyzed using qRT-PCR. The RAW 264.7 cell line was differentiated into osteoclasts with RANKL stimulation and then treated with exogenous IFN-ß.ResultsThe expression of inflammatory cytokines (IFN-¿, IL-17, MMP-3, and RANKL) and auto-antibodies (CII antibodies, RF-IgM, and anti-CCP/GPI) were significantly higher in RA compared with OA patients. After IFN-ß intervention, some clinical symptoms in RA patients were partially alleviated, and the expression of IFN-¿, IL-17, MMP-3, and OPG) returned to normal levels. In the CAIA model, the expression of endogenous IFN-ß in the joint bones was decreased. After IFN-ß administration, the arthritis scores were decreased; synovial inflammation, cartilage, and bone destruction were clearly attenuated; and the expression of c-Fos and NFATc1 were reduced, while RANKL and TRAF6 expression was unchanged. In addition, exogenous IFN-ß directly inhibited RANKL-induced osteoclastogenesis.ConclusionsExogenous IFN-ß administration immunomodulates CAIA, may reduce joint inflammation and, perhaps more importantly, bone destruction by inhibiting the RANKL-c-Fos signaling pathway. Exogenous IFN-ß intervention should be selectively used on RA patients because it may only be useful for RA patients with low endogenous IFN-ß expression.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 29%
Researcher 4 14%
Student > Ph. D. Student 4 14%
Other 2 7%
Student > Bachelor 1 4%
Other 3 11%
Unknown 6 21%
Readers by discipline Count As %
Medicine and Dentistry 6 21%
Agricultural and Biological Sciences 4 14%
Immunology and Microbiology 3 11%
Biochemistry, Genetics and Molecular Biology 2 7%
Engineering 2 7%
Other 5 18%
Unknown 6 21%
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 27 February 2016.
All research outputs
#18,386,678
of 22,774,233 outputs
Outputs from Journal of Translational Medicine
#2,942
of 3,984 outputs
Outputs of similar age
#261,587
of 361,208 outputs
Outputs of similar age from Journal of Translational Medicine
#84
of 123 outputs
Altmetric has tracked 22,774,233 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,984 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 361,208 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 123 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.