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Celiac disease: how complicated can it get?

Overview of attention for article published in Immunogenetics, July 2010
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#6 of 1,200)
  • High Attention Score compared to outputs of the same age (96th percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
2 X users
patent
5 patents
facebook
1 Facebook page
linkedin
1 LinkedIn user

Citations

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140 Dimensions

Readers on

mendeley
275 Mendeley
citeulike
1 CiteULike
Title
Celiac disease: how complicated can it get?
Published in
Immunogenetics, July 2010
DOI 10.1007/s00251-010-0465-9
Pubmed ID
Authors

Jennifer May-Ling Tjon, Jeroen van Bergen, Frits Koning

Abstract

In the small intestine of celiac disease patients, dietary wheat gluten and similar proteins in barley and rye trigger an inflammatory response. While strict adherence to a gluten-free diet induces full recovery in most patients, a small percentage of patients fail to recover. In a subset of these refractory celiac disease patients, an (aberrant) oligoclonal intraepithelial lymphocyte population develops into overt lymphoma. Celiac disease is strongly associated with HLA-DQ2 and/or HLA-DQ8, as both genotypes predispose for disease development. This association can be explained by the fact that gluten peptides can be presented in HLA-DQ2 and HLA-DQ8 molecules on antigen presenting cells. Gluten-specific CD4(+) T cells in the lamina propria respond to these peptides, and this likely enhances cytotoxicity of intraepithelial lymphocytes against the intestinal epithelium. We propose a threshold model for the development of celiac disease, in which the efficiency of gluten presentation to CD4(+) T cells determines the likelihood of developing celiac disease and its complications. Key factors that influence the efficiency of gluten presentation include: (1) the level of gluten intake, (2) the enzyme tissue transglutaminase 2 which modifies gluten into high affinity binding peptides for HLA-DQ2 and HLA-DQ8, (3) the HLA-DQ type, as HLA-DQ2 binds a wider range of gluten peptides than HLA-DQ8, (4) the gene dose of HLA-DQ2 and HLA-DQ8, and finally,(5) additional genetic polymorphisms that may influence T cell reactivity. This threshold model might also help to understand the development of refractory celiac disease and lymphoma.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 275 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 2%
Hungary 1 <1%
Germany 1 <1%
France 1 <1%
Italy 1 <1%
Brazil 1 <1%
Chile 1 <1%
Slovakia 1 <1%
United Kingdom 1 <1%
Other 2 <1%
Unknown 259 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 50 18%
Student > Bachelor 44 16%
Student > Ph. D. Student 34 12%
Other 23 8%
Student > Master 20 7%
Other 62 23%
Unknown 42 15%
Readers by discipline Count As %
Medicine and Dentistry 83 30%
Agricultural and Biological Sciences 66 24%
Biochemistry, Genetics and Molecular Biology 26 9%
Immunology and Microbiology 13 5%
Nursing and Health Professions 10 4%
Other 28 10%
Unknown 49 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 22 October 2019.
All research outputs
#1,050,676
of 22,655,397 outputs
Outputs from Immunogenetics
#6
of 1,200 outputs
Outputs of similar age
#3,185
of 93,813 outputs
Outputs of similar age from Immunogenetics
#1
of 3 outputs
Altmetric has tracked 22,655,397 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,200 research outputs from this source. They receive a mean Attention Score of 4.0. 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 93,813 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 96% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them