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Serum IFN-γ levels predict the therapeutic effect of mesenchymal stem cell transplantation in active rheumatoid arthritis

Overview of attention for article published in Journal of Translational Medicine, June 2018
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68 Mendeley
Title
Serum IFN-γ levels predict the therapeutic effect of mesenchymal stem cell transplantation in active rheumatoid arthritis
Published in
Journal of Translational Medicine, June 2018
DOI 10.1186/s12967-018-1541-4
Pubmed ID
Authors

Yi Yang, Xiao He, Rongseng Zhao, Wei Guo, Ming Zhu, Wei Xing, Dongpo Jiang, Chongyang Liu, Xiang Xu

Abstract

To explore the mechanism of the different clinical efficacies of mesenchymal stem cell transplantation (MSCT) and identify a possible serum biomarker for predicting the therapeutic effect of MSCT in rheumatoid arthritis (RA) patients. A total of 105 patients with persistently active RA and poor responses to traditional medication were randomly divided into MSCT and control groups. Outcomes were evaluated according to the 28-joint Disease Activity Score and Health Assessment Questionnaire, serological indicators, regulatory T cell (Treg) to T helper 17 (Th17) cell ratio, and inflammatory cytokine levels. Twelve weeks after MSCT, the outcomes of the MSCT group were evaluated according to the European League against Rheumatism response criteria. Patients with a good or moderate response were added to the response group, and those with no response were added to the no-response group. No serious adverse events were reported for either MSCT subgroup (28 in the response group and 24 in the no-response group). The therapeutic effects lasted for 48 weeks without continuous administration. Notably, a transient increase in serum IFN-γ (>2 pg/ml) levels was observed in the response group, but not in the no-response group. Furthermore, an increase in IL-10 levels and the Treg/Th17 ratio and a reduction in IL-6 levels appeared 2-3 weeks after the transient IFN-γ increase. Allogeneic MSCT is safe and feasible, and we propose high serum IFN-γ levels as a potent biomarker for predicting MSCT response. Trial registration chictr.org, ChiCTR-ONC-16008770. Registered 3 July 2016, http://www.chictr.org.cn/showproj.aspx?proj=14820.

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The data shown below were collected from the profiles of 5 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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 68 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 12%
Other 7 10%
Student > Ph. D. Student 7 10%
Student > Master 5 7%
Student > Bachelor 3 4%
Other 7 10%
Unknown 31 46%
Readers by discipline Count As %
Medicine and Dentistry 14 21%
Agricultural and Biological Sciences 5 7%
Biochemistry, Genetics and Molecular Biology 4 6%
Immunology and Microbiology 4 6%
Nursing and Health Professions 3 4%
Other 5 7%
Unknown 33 49%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 22 October 2022.
All research outputs
#13,373,196
of 23,567,572 outputs
Outputs from Journal of Translational Medicine
#1,548
of 4,185 outputs
Outputs of similar age
#160,228
of 329,691 outputs
Outputs of similar age from Journal of Translational Medicine
#20
of 97 outputs
Altmetric has tracked 23,567,572 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,185 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 62% of its peers.
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 329,691 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.