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Microbiota-activated CD103+ DCs stemming from microbiota adaptation specifically drive γδT17 proliferation and activation

Overview of attention for article published in Microbiome, April 2017
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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 (87th percentile)

Mentioned by

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1 blog
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8 X users
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1 Facebook page
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1 Wikipedia page

Citations

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53 Dimensions

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76 Mendeley
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Title
Microbiota-activated CD103+ DCs stemming from microbiota adaptation specifically drive γδT17 proliferation and activation
Published in
Microbiome, April 2017
DOI 10.1186/s40168-017-0263-9
Pubmed ID
Authors

Chris Fleming, Yihua Cai, Xuan Sun, Venkatakrishna R. Jala, Feng Xue, Samantha Morrissey, Yu-ling Wei, Yueh-hsiu Chien, Huang-ge Zhang, Bodduluri Haribabu, Jian Huang, Jun Yan

Abstract

IL-17-producing γδT cells (γδT17) promote autoinflammatory diseases and cancers. Yet, γδT17 peripheral regulation has not been thoroughly explored especially in the context of microbiota-host interaction. The potent antigen-presenting CD103(+) dendritic cell (DC) is a key immune player in close contact with both γδT17 cells and microbiota. This study presents a novel cellular network among microbiota, CD103(+) DCs, and γδT17 cells. Immunophenotyping of IL-17r(-/-) mice and IL-17r(-/-) IRF8(-/-) mice were performed by ex vivo immunostaining and flow cytometric analysis. We observed striking microbiome differences in the oral cavity and gut of IL-17r(-/-) mice by sequencing 16S rRNA gene (v1-v3 region) and analyzed using QIIME 1.9.0 software platform. Principal coordinate analysis of unweighted UniFrac distance matrix showed differential clustering for WT and IL-17r(-/-) mice. We found drastic homeostatic expansion of γδT17 in all major tissues, most prominently in cervical lymph nodes (cLNs) with monoclonal expansion of Vγ6 γδT17 in IL-17r(-/-) mice. Ki-67 staining and in vitro CFSE assays showed cellular proliferation due to cell-to-cell contact stimulation with microbiota-activated CD103(+) DCs. A newly developed double knockout mice model for IL-17r and CD103(+) DCs (IL-17r(-/-)IRF8(-/-)) showed a specific reduction in Vγ6 γδT17. Vγ6 γδT17 expansion is inhibited in germ-free mice and antibiotic-treated specific pathogen-free (SPF) mice. Microbiota transfer using cohousing of IL-17r(-/-) mice with wildtype mice induces γδT17 expansion in the wildtype mice with increased activated CD103(+) DCs in cLNs. However, microbiota transfer using fecal transplant through oral gavage to bypass the oral cavity showed no difference in colon or systemic γδT17 expansion. These findings reveal for the first time that γδT17 cells are regulated by microbiota dysbiosis through cell-to-cell contact with activated CD103(+) DCs leading to drastic systemic, monoclonal expansion. Microbiota dysbiosis, as indicated by drastic bacterial population changes at the phylum and genus levels especially in the oral cavity, was discovered in mice lacking IL-17r. This network could be very important in regulating both microbiota and immune players. This critical regulatory pathway for γδT17 could play a major role in IL-17-driven inflammatory diseases and needs further investigation to determine specific targets for future therapeutic intervention.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 75 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 21%
Student > Ph. D. Student 15 20%
Student > Bachelor 10 13%
Student > Master 10 13%
Student > Postgraduate 4 5%
Other 11 14%
Unknown 10 13%
Readers by discipline Count As %
Immunology and Microbiology 23 30%
Agricultural and Biological Sciences 14 18%
Medicine and Dentistry 11 14%
Biochemistry, Genetics and Molecular Biology 9 12%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 6 8%
Unknown 11 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 12 May 2020.
All research outputs
#2,160,784
of 24,417,958 outputs
Outputs from Microbiome
#860
of 1,642 outputs
Outputs of similar age
#40,550
of 313,757 outputs
Outputs of similar age from Microbiome
#23
of 30 outputs
Altmetric has tracked 24,417,958 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,642 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.9. This one is in the 47th percentile – i.e., 47% 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 313,757 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.