Title |
IL-36γ (IL-1F9) Is a Biomarker for Psoriasis Skin Lesions
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Published in |
Journal of Investigative Dermatology, December 2014
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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. |
Mendeley readers
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% |