Molecular diagnostics of psoriasis, atopic dermatitis, allergic contact dermatitis and irritant contact dermatitis.

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Publication year
2010Source
British Journal of Dermatology, 162, 3, (2010), pp. 568-78ISSN
Annotation
01 maart 2010
Publication type
Article / Letter to editor

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Organization
Dermatology
Health Evidence
Former Organization
Epidemiology, Biostatistics & HTA
Journal title
British Journal of Dermatology
Volume
vol. 162
Issue
iss. 3
Page start
p. 568
Page end
p. 78
Subject
N4i 1: Pathogenesis and modulation of inflammation; NCEBP 1: Molecular epidemiology; NCMLS 1: Infection and autoimmunityAbstract
BACKGROUND: Microarray studies on the epidermal transcriptome in psoriasis and atopic dermatitis (AD) have revealed genes with disease-specific expression in keratinocytes of lesional epidermis. These genes are possible candidates for disease-specific pathogenetic changes, but could also provide a tool for molecular diagnostics of inflammatory skin conditions in general. OBJECTIVES: To analyse if gene expression signatures as found in purified epidermal cells from AD are also present in other eczematous conditions such as allergic and irritant contact dermatitis. METHODS: We used real-time quantitative polymerase chain reaction, immunohistochemistry and bioinformatics to investigate gene expression in different forms of eczema. Normal epidermis and psoriatic epidermis were analysed for comparison. RESULTS: Carbonic anhydrase II was highly induced in epidermis from all forms of eczema but not in psoriasis. Remarkably, the presumed neuron-specific Nel-like protein 2 showed a strong induction only in AD epidermis. Interleukin-1F9, elafin, beta-defensin-2 and vanin-3 were strongly induced in psoriasis, but not in any type of eczema. High levels of the chemokines CCL17 and CXCL10 were predominantly found in epidermis of allergic contact dermatitis. The chemokine CXCL8 was highly expressed in psoriasis, AD and allergic contact dermatitis, but not in irritant contact dermatitis. Cluster analysis or multinomial logistic regression indicated that expression levels of a set of seven genes are a strong predictor of the type of inflammatory response. CONCLUSIONS: These observations contribute to molecular diagnostic criteria for inflammatory skin conditions.
This item appears in the following Collection(s)
- Academic publications [234365]
- Electronic publications [117392]
- Faculty of Medical Sciences [89214]
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