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Methyldopa blocks MHC class II binding to disease-specific antigens in autoimmune diabetes

Overview of attention for article published in Journal of Clinical Investigation, April 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#42 of 13,464)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
35 news outlets
blogs
2 blogs
twitter
27 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
32 Mendeley
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Title
Methyldopa blocks MHC class II binding to disease-specific antigens in autoimmune diabetes
Published in
Journal of Clinical Investigation, April 2018
DOI 10.1172/jci97739
Pubmed ID
Authors

David A. Ostrov, Aimon Alkanani, Kristen A. McDaniel, Stephanie Case, Erin E. Baschal, Laura Pyle, Sam Ellis, Bernadette Pöllinger, Katherine J. Seidl, Viral N. Shah, Satish K. Garg, Mark A. Atkinson, Peter A. Gottlieb, Aaron W. Michels

Abstract

Major histocompatibility (MHC) class II molecules are strongly associated with many autoimmune disorders. In type 1 diabetes, the DQ8 molecule is common, confers significant disease risk and is involved in disease pathogenesis. We hypothesized blocking DQ8 antigen presentation would provide therapeutic benefit by preventing recognition of self-peptides by pathogenic T cells. We used the crystal structure of DQ8 to select drug-like small molecules predicted to bind structural pockets in the MHC antigen-binding cleft. A limited number of the predicted compounds inhibited DQ8 antigen presentation in vitro with one compound preventing insulin autoantibody production and delaying diabetes onset in an animal model of spontaneous autoimmune diabetes. An existing drug of similar structure, methyldopa, specifically blocked DQ8 in recent-onset patients with type 1 diabetes along with reducing inflammatory T cell responses toward insulin, highlighting the relevance of blocking disease-specific MHC class II antigen presentation to treat autoimmunity.

Twitter Demographics

The data shown below were collected from the profiles of 27 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 25%
Student > Master 6 19%
Student > Bachelor 5 16%
Student > Ph. D. Student 5 16%
Unspecified 2 6%
Other 6 19%
Readers by discipline Count As %
Medicine and Dentistry 6 19%
Biochemistry, Genetics and Molecular Biology 6 19%
Immunology and Microbiology 4 13%
Agricultural and Biological Sciences 3 9%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Other 11 34%

Attention Score in Context

This research output has an Altmetric Attention Score of 288. 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 02 April 2019.
All research outputs
#43,161
of 13,786,654 outputs
Outputs from Journal of Clinical Investigation
#42
of 13,464 outputs
Outputs of similar age
#2,308
of 355,921 outputs
Outputs of similar age from Journal of Clinical Investigation
#1
of 60 outputs
Altmetric has tracked 13,786,654 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,464 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has done particularly well, scoring higher than 99% 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 355,921 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 99% of its contemporaries.
We're also able to compare this research output to 60 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 98% of its contemporaries.