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Vitamin D Actions on CD4+ T Cells in Autoimmune Disease

Overview of attention for article published in Frontiers in immunology, March 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

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17 X users
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8 Facebook pages
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1 Wikipedia page
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1 Google+ user

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204 Mendeley
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Title
Vitamin D Actions on CD4+ T Cells in Autoimmune Disease
Published in
Frontiers in immunology, March 2015
DOI 10.3389/fimmu.2015.00100
Pubmed ID
Authors

Colleen Elizabeth Hayes, Shane L. Hubler, Jerott R. Moore, Lauren E. Barta, Corinne E. Praska, Faye E. Nashold

Abstract

This review summarizes and integrates research on vitamin D and CD4(+) T-lymphocyte biology to develop new mechanistic insights into the molecular etiology of autoimmune disease. A deep understanding of molecular mechanisms relevant to gene-environment interactions is needed to deliver etiology-based autoimmune disease prevention and treatment strategies. Evidence linking sunlight, vitamin D, and the risk of multiple sclerosis and type 1 diabetes is summarized to develop the thesis that vitamin D is the environmental factor that most strongly influences autoimmune disease development. Evidence for CD4(+) T-cell involvement in autoimmune disease pathogenesis and for paracrine calcitriol signaling to CD4(+) T lymphocytes is summarized to support the thesis that calcitriol is sunlight's main protective signal transducer in autoimmune disease risk. Animal modeling and human mechanistic data are summarized to support the view that vitamin D probably influences thymic negative selection, effector Th1 and Th17 pathogenesis and responsiveness to extrinsic cell death signals, FoxP3(+)CD4(+) T-regulatory cell and CD4(+) T-regulatory cell type 1 (Tr1) cell functions, and a Th1-Tr1 switch. The proposed Th1-Tr1 switch appears to bridge two stable, self-reinforcing immune states, pro- and anti-inflammatory, each with a characteristic gene regulatory network. The bi-stable switch would enable T cells to integrate signals from pathogens, hormones, cell-cell interactions, and soluble mediators and respond in a biologically appropriate manner. Finally, unanswered questions and potentially informative future research directions are highlighted to speed delivery of etiology-based strategies to reduce autoimmune disease.

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 204 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Brazil 1 <1%
Unknown 202 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 41 20%
Researcher 26 13%
Student > Ph. D. Student 23 11%
Student > Master 20 10%
Student > Doctoral Student 18 9%
Other 38 19%
Unknown 38 19%
Readers by discipline Count As %
Medicine and Dentistry 62 30%
Agricultural and Biological Sciences 27 13%
Immunology and Microbiology 25 12%
Biochemistry, Genetics and Molecular Biology 12 6%
Nursing and Health Professions 8 4%
Other 20 10%
Unknown 50 25%
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 01 July 2023.
All research outputs
#2,319,504
of 25,654,806 outputs
Outputs from Frontiers in immunology
#2,279
of 32,130 outputs
Outputs of similar age
#30,343
of 292,050 outputs
Outputs of similar age from Frontiers in immunology
#11
of 160 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 32,130 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done particularly well, scoring higher than 92% 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 292,050 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 89% of its contemporaries.
We're also able to compare this research output to 160 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.