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IL-36γ (IL-1F9) Is a Biomarker for Psoriasis Skin Lesions

Overview of attention for article published in Journal of Investigative Dermatology, December 2014
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
1 news outlet
patent
8 patents
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
210 Dimensions

Readers on

mendeley
144 Mendeley
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Title
IL-36γ (IL-1F9) Is a Biomarker for Psoriasis Skin Lesions
Published in
Journal of Investigative Dermatology, December 2014
DOI 10.1038/jid.2014.532
Pubmed ID
Authors

Angelo Massimiliano D'Erme, Dagmar Wilsmann-Theis, Julia Wagenpfeil, Michael Hölzel, Sandra Ferring-Schmitt, Sonja Sternberg, Miriam Wittmann, Bettina Peters, Andreas Bosio, Thomas Bieber, Joerg Wenzel

Abstract

In recent years, different genes and proteins have been highlighted as potential biomarkers for psoriasis, one of the most common inflammatory skin diseases worldwide. However, most of these markers are not only psoriasis-specific but also found in other inflammatory disorders. We performed an unsupervised cluster analysis of gene expression profiles in 150 psoriasis patients and other inflammatory skin diseases (atopic dermatitis, lichen planus, contact eczema, and healthy controls). We identified a cluster of IL-17/tumor necrosis factor-α (TNFα)-associated genes specifically expressed in psoriasis, among which IL-36γ was the most outstanding marker. In subsequent immunohistological analyses, IL-36γ was confirmed to be expressed in psoriasis lesions only. IL-36γ peripheral blood serum levels were found to be closely associated with disease activity, and they decreased after anti-TNFα-treatment. Furthermore, IL-36γ immunohistochemistry was found to be a helpful marker in the histological differential diagnosis between psoriasis and eczema in diagnostically challenging cases. These features highlight IL-36γ as a valuable biomarker in psoriasis patients, both for diagnostic purposes and measurement of disease activity during the clinical course. Furthermore, IL-36γ might also provide a future drug target, because of its potential amplifier role in TNFα- and IL-17 pathways in psoriatic skin inflammation.Journal of Investigative Dermatology advance online publication, 22 January 2015; doi:10.1038/jid.2014.532.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 144 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 16%
Researcher 17 12%
Student > Master 14 10%
Student > Bachelor 14 10%
Other 11 8%
Other 26 18%
Unknown 39 27%
Readers by discipline Count As %
Medicine and Dentistry 40 28%
Agricultural and Biological Sciences 20 14%
Biochemistry, Genetics and Molecular Biology 17 12%
Immunology and Microbiology 13 9%
Pharmacology, Toxicology and Pharmaceutical Science 3 2%
Other 11 8%
Unknown 40 28%
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 January 2024.
All research outputs
#1,892,142
of 25,374,647 outputs
Outputs from Journal of Investigative Dermatology
#427
of 8,996 outputs
Outputs of similar age
#25,135
of 360,183 outputs
Outputs of similar age from Journal of Investigative Dermatology
#7
of 89 outputs
Altmetric has tracked 25,374,647 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 8,996 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has done particularly well, scoring higher than 95% 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 360,183 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 92% of its contemporaries.
We're also able to compare this research output to 89 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 92% of its contemporaries.