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Giornale Italiano di Dermatologia e Venereologia 2007 October;142(5):519-31


language: English

Transcriptional profiling analysis applied to psoriasis

Yano S. 1, 2, Zavadil J. 3, 4, Strober B. E. 1, Haider A. S. 5, Blumenberg M. 1, 2, 6

1 Department of Dermatology NYU School of Medicine, New York, NY, USA 2 Department of Dermatology Faculty of Medicine, University of Tokyo, Tokyo, Japan 3 Department of Pathology NYU School of Medicine, New York, NY, USA 4 NYU Cancer Institute NYU School of Medicine, New York, NY, USA 5 Laboratory of Investigative Dermatology Rockefeller University, New York, NY, USA 6 Department of Biochemistry NYU School of Medicine, New York, NY, USA


Bioinformatics techniques, in particular DNA microarray technology, have provided tremendous amount of new data and impetus for development of novel therapeutic approaches targeting human diseases. In this review, we collect and summarize the current literature reports focused on the microarray analysis of the changes of gene expression in psoriasis. DNA microarrays were used to compare gene expression in psoriatic lesions with uninvolved, healthy skin, with proliferative and with inflammatory skin diseases. Transcriptional profiles of peripheral blood mononuclear leukocytes from psoriatic patients and healthy controls have been compared. In addition, genes regulated by psoriasis-associated cytokines have been compared with the genes dysregulated in psoriasis. Marker genes S100A7, S100A9, SPRR1B, FABP5, DEFB4, IFI27, SERPINB3, PI3, IL8, ECGF1, KRT6/16, and CD24 are consistently and selectively up-regulated in involved psoriatic skin. Additionally, IL-8, ANXA3, COX2, G0S2, PBEF, and DUSP1 showed >2.0 fold induction in the peripheral blood leukocytes from patients. The main functions of genes differentially expressed in psoriasis were the inhibition of proteolysis, epidermal differentiation, and signaling. Gene expression profiling was used to follow the results of treatments and transcriptional changes showed a clear correlation with the progress of therapy. The genomic effects of cytokines and growth factors linked with psoriasis revealed that the genes induced in keratinocytes by IFNγ, IL-1 and TNFα overlap extensively with the genes with elevated expression in the plaques. Psoriasis showed a gene expression pattern distinctive from atopic dermatitis, but more similar to those of psoriatic arthritis and oral lichen planus. These results elucidate the gene expression patterns, signal transduction pathways, and the pathogenesis in psoriasis, suggesting novel therapeutic targets and mechanisms. DNA microarray technology can provide much more complete understanding of the pathogenesis of a wide variety of skin diseases and opens enormous new perspectives in dermatology.

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