| Title |
Kinetic changes of regulatory B10 cells in collagen-induced arthritis could be regulated by cytokines IFN-γ and TGF-β1
|
|---|---|
| Published in |
Inflammation Research, June 2015
|
| DOI | 10.1007/s00011-015-0846-5 |
| Pubmed ID | |
| Authors |
Zhaohui Zheng, Tao Liu, Xueyi Li, Jin Ding, Yuan Feng, Jinlin Miao, Xing Luo, Zhenbiao Wu, Ping Zhu |
| Abstract |
The status of B10 cells in patients with rheumatoid arthritis (RA) has not been consistently reported. In this study, we observed the kinetic changes of the B10 cells in collagen-induced arthritis (CIA) mice and the influence of multiple cytokines on the B10 cells to investigate the potential mechanism underlying the changes of B10 cells. The kinetic changes of frequency and function of the CD19(+)CD1d(hi)CD5(+) cells in splenic cells were observed during the complete progress of CIA mice. The kinetic changes of cytokines IL-4, IL-6, IL-17A, IL-18, TNF-α, IFN-γ and TGF-β1 were also detected. Then influence of these cytokines on the status of B10 cells was investigated both in vitro and in vivo. The frequency and suppressive ability of the CD19(+)CD1d(hi)CD5(+) cells increased to its peak on the 14th day while gradually decreased subsequently. IFN-γ showed a similar tendency with the CD19(+)CD1d(hi)CD5(+) cells, whereas IL-6, IL-17A, IL-18, TNF-α, and TGF-β1 reached its peak on the 28-35th day. In addition, IFN-γ up-regulated while TGF-β1 down-regulated the frequency and function of the CD19(+)CD1d(hi)CD5(+) cells both in vitro and in vivo. The B10 cells in CIA mice could be regulated by IFN-γ and TGF-β1, suggesting that the status of B10 cells in RA may be influenced by the balance of pro-inflammatory and anti-inflammatory factors, and the impaired B10 cells could be recovered in vitro by adequate treatment before being used for a therapeutic method in clinical practice. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 30% |
| Other | 2 | 20% |
| Student > Bachelor | 1 | 10% |
| Professor | 1 | 10% |
| Student > Master | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 2 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 4 | 40% |
| Agricultural and Biological Sciences | 2 | 20% |
| Medicine and Dentistry | 2 | 20% |
| Unknown | 2 | 20% |
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 08 April 2016.
All research outputs
#20,281,599
of 22,815,414 outputs
Outputs from Inflammation Research
#785
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Outputs of similar age
#219,428
of 263,249 outputs
Outputs of similar age from Inflammation Research
#15
of 25 outputs
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