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Regulatory B cells control T-cell autoimmunity through IL-21-dependent cognate interactions

Overview of attention for article published in Nature, October 2012
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Average Attention Score compared to outputs of the same age and source

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3 X users
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14 patents
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536 Mendeley
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Title
Regulatory B cells control T-cell autoimmunity through IL-21-dependent cognate interactions
Published in
Nature, October 2012
DOI 10.1038/nature11501
Pubmed ID
Authors

Ayumi Yoshizaki, Tomomitsu Miyagaki, David J. DiLillo, Takashi Matsushita, Mayuka Horikawa, Evgueni I. Kountikov, Rosanne Spolski, Jonathan C. Poe, Warren J. Leonard, Thomas F. Tedder

Abstract

B cells regulate immune responses by producing antigen-specific antibodies. However, specific B-cell subsets can also negatively regulate T-cell immune responses, and have been termed regulatory B cells. Human and mouse regulatory B cells (B10 cells) with the ability to express the inhibitory cytokine interleukin-10 (IL-10) have been identified. Although rare, B10 cells are potent negative regulators of antigen-specific inflammation and T-cell-dependent autoimmune diseases in mice. How B10-cell IL-10 production and regulation of antigen-specific immune responses are controlled in vivo without inducing systemic immunosuppression is unknown. Using a mouse model for multiple sclerosis, here we show that B10-cell maturation into functional IL-10-secreting effector cells that inhibit in vivo autoimmune disease requires IL-21 and CD40-dependent cognate interactions with T cells. Moreover, the ex vivo provision of CD40 and IL-21 receptor signals can drive B10-cell development and expansion by four-million-fold, and generate B10 effector cells producing IL-10 that markedly inhibit disease symptoms when transferred into mice with established autoimmune disease. The ex vivo expansion and reinfusion of autologous B10 cells may provide a novel and effective in vivo treatment for severe autoimmune diseases that are resistant to current therapies.

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The data shown below were collected from the profiles of 3 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 536 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 1%
Japan 3 <1%
Netherlands 2 <1%
United Kingdom 1 <1%
Canada 1 <1%
Singapore 1 <1%
Germany 1 <1%
Spain 1 <1%
Chile 1 <1%
Other 2 <1%
Unknown 515 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 141 26%
Researcher 122 23%
Student > Master 51 10%
Student > Bachelor 39 7%
Student > Doctoral Student 32 6%
Other 84 16%
Unknown 67 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 170 32%
Medicine and Dentistry 100 19%
Immunology and Microbiology 93 17%
Biochemistry, Genetics and Molecular Biology 38 7%
Neuroscience 10 2%
Other 43 8%
Unknown 82 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 30 March 2023.
All research outputs
#1,744,497
of 23,495,502 outputs
Outputs from Nature
#39,262
of 92,517 outputs
Outputs of similar age
#11,658
of 175,322 outputs
Outputs of similar age from Nature
#626
of 1,063 outputs
Altmetric has tracked 23,495,502 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 92,517 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 100.4. This one has gotten more attention than average, scoring higher than 57% 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 175,322 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 1,063 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.