Literature DB >> 11911124

Molecular classification of psoriasis disease-associated genes through pharmacogenomic expression profiling.

J L Oestreicher1, I B Walters, T Kikuchi, P Gilleaudeau, J Surette, U Schwertschlag, A J Dorner, J G Krueger, W L Trepicchio.   

Abstract

Psoriasis is recognized as the most common T cell-mediated inflammatory disease in humans. Genetic linkage to as many as six distinct disease loci has been established but the molecular etiology and genetics remain unknown. To begin to identify psoriasis disease-related genes and construct in vivo pathways of the inflammatory process, a genome-wide expression screen of multiple psoriasis patients was undertaken. A comprehensive list of 159 genes that define psoriasis in molecular terms was generated; numerous genes in this set mapped to six different disease-associated loci. To further interpret the functional role of this gene set in the disease process, a longitudinal pharmacogenomic study was initiated to understand how expression levels of these transcripts are altered following patient treatment with therapeutic agents that antagonize calcineurin or NF-KB pathways. Transcript levels for a subset of these 159 genes changed significantly in those patients who responded to therapy and many of the changes preceded clinical improvement. The disease-related gene map provides new insights into the pathogenesis of psoriasis, wound healing and cellular-immune reactions occurring in human skin as well as other T cell-mediated autoimmune diseases. In addition, it provides a set of candidate genes that may serve as novel therapeutic intervention points as well as surrogate and predictive markers of treatment outcome.

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Year:  2001        PMID: 11911124     DOI: 10.1038/sj.tpj.6500067

Source DB:  PubMed          Journal:  Pharmacogenomics J        ISSN: 1470-269X            Impact factor:   3.550


  42 in total

Review 1.  Recent insights into the immunopathogenesis of psoriasis provide new therapeutic opportunities.

Authors:  Brian J Nickoloff; Frank O Nestle
Journal:  J Clin Invest       Date:  2004-06       Impact factor: 14.808

2.  Computational Systems Biology of Psoriasis: Are We Ready for the Age of Omics and Systems Biomarkers?

Authors:  Tuba Sevimoglu; Kazim Yalcin Arga
Journal:  OMICS       Date:  2015-10-19

Review 3.  Gene-expression profiling in rheumatic disease: tools and therapeutic potential.

Authors:  Jason W Bauer; Hatice Bilgic; Emily C Baechler
Journal:  Nat Rev Rheumatol       Date:  2009-05       Impact factor: 20.543

Review 4.  The latest advances in pharmacogenetics and pharmacogenomics in the treatment of psoriasis.

Authors:  Caitriona Ryan; Alan Menter; Richard B Warren
Journal:  Mol Diagn Ther       Date:  2010-04-01       Impact factor: 4.074

5.  Assessment of the psoriatic transcriptome in a large sample: additional regulated genes and comparisons with in vitro models.

Authors:  Johann E Gudjonsson; Jun Ding; Andrew Johnston; Trilokraj Tejasvi; Andrew M Guzman; Rajan P Nair; John J Voorhees; Goncalo R Abecasis; James T Elder
Journal:  J Invest Dermatol       Date:  2010-03-11       Impact factor: 8.551

6.  GENE PROFILING: IMPLICATIONS IN DERMATOLOGY.

Authors:  Miroslav Blumenberg; Marjana Tomic-Canic
Journal:  Expert Rev Dermatol       Date:  2007

Review 7.  Cytokines and cytokine profiles in human autoimmune diseases and animal models of autoimmunity.

Authors:  Manfred Kunz; Saleh M Ibrahim
Journal:  Mediators Inflamm       Date:  2009-10-26       Impact factor: 4.711

8.  Integrated network analysis of transcriptomic and proteomic data in psoriasis.

Authors:  Eleonora Piruzian; Sergey Bruskin; Alex Ishkin; Rustam Abdeev; Sergey Moshkovskii; Stanislav Melnik; Yuri Nikolsky; Tatiana Nikolskaya
Journal:  BMC Syst Biol       Date:  2010-04-08

9.  Evaluation of the psoriasis transcriptome across different studies by gene set enrichment analysis (GSEA).

Authors:  Mayte Suárez-Fariñas; Michelle A Lowes; Lisa C Zaba; James G Krueger
Journal:  PLoS One       Date:  2010-04-20       Impact factor: 3.240

Review 10.  Post-genomics and skin inflammation.

Authors:  Daniela Braconi; Giulia Bernardini; Annalisa Santucci
Journal:  Mediators Inflamm       Date:  2010-09-19       Impact factor: 4.711

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