Literature DB >> 16622521

Microarray analyses of peripheral blood cells identifies unique gene expression signature in psoriatic arthritis.

Franak M Batliwalla1, Wentian Li, Christopher T Ritchlin, Xiangli Xiao, Max Brenner, Teresina Laragione, Tianmeng Shao, Robert Durham, Sunil Kemshetti, Edward Schwarz, Rodney Coe, Marlena Kern, Emily C Baechler, Timothy W Behrens, Peter K Gregersen, Pércio S Gulko.   

Abstract

Psoriatic arthritis (PsA) is a chronic and erosive form of arthritis of unknown cause. We aimed to characterize the PsA phenotype using gene expression profiling and comparing it with healthy control subjects and patients rheumatoid arthritis (RA). Peripheral blood cells (PBCs) of 19 patients with active PsA and 19 age- and sex-matched control subjects were used in the analyses of PsA, with blood samples collected in PaxGene tubes. A significant alteration in the pattern of expression of 313 genes was noted in the PBCs of PsA patients on Affymetrix U133A arrays: 257 genes were expressed at reduced levels in PsA, and 56 genes were expressed at increased levels, compared with controls. Downregulated genes tended to cluster to certain chromosomal regions, including those containing the psoriasis susceptibility loci PSORS1 and PSORS2. Among the genes with the most significantly reduced expression were those involved in downregulation or suppression of innate and acquired immune responses, such as SIGIRR, STAT3, SHP1, IKBKB, IL-11RA, and TCF7, suggesting inappropriate control that favors proin-flammatory responses. Several members of the MAPK signaling pathway and tumor suppressor genes showed reduced expression. Three proinflammatory genes--S100A8, S100A12, and thioredoxin--showed increased expression. Logistic regression and recursive partitioning analysis determined that one gene, nucleoporin 62 kDa, could correctly classify all controls and 94.7% of the PsA patients. Using a dataset of 48 RA samples for comparison, the combination of two genes, MAP3K3 followed by CACNA1S, was enough to correctly classify all RA and PsA patients. Thus, PBC gene expression profiling identified a gene expression signature that differentiated PsA from RA, and PsA from controls. Several novel genes were differentially expressed in PsA and may prove to be diagnostic biomarkers or serve as new targets for the development of therapies.

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Year:  2005        PMID: 16622521      PMCID: PMC1449519          DOI: 10.2119/2006-00003.Gulko

Source DB:  PubMed          Journal:  Mol Med        ISSN: 1076-1551            Impact factor:   6.354


  48 in total

Review 1.  Thioredoxin: friend or foe in human disease?

Authors:  Anne Burke-Gaffney; Matthew E J Callister; Hajime Nakamura
Journal:  Trends Pharmacol Sci       Date:  2005-08       Impact factor: 14.819

2.  Gene expression profiling of peripheral blood mononuclear leukocytes from psoriasis patients identifies new immune regulatory molecules.

Authors:  Dirk Koczan; Reinhard Guthke; Hans-Jürgen Thiesen; Saleh M Ibrahim; Günther Kundt; Helga Krentz; Gerd Gross; Manfred Kunz
Journal:  Eur J Dermatol       Date:  2005 Jul-Aug       Impact factor: 3.328

3.  Association between a complex insertion/deletion polymorphism in NOD1 (CARD4) and susceptibility to inflammatory bowel disease.

Authors:  Dermot P B McGovern; Pirro Hysi; Tariq Ahmad; David A van Heel; Miriam F Moffatt; Alisoun Carey; William O C Cookson; Derek P Jewell
Journal:  Hum Mol Genet       Date:  2005-03-24       Impact factor: 6.150

4.  Transgenic Ly-49A inhibits antigen-driven T cell activation and delays diabetes.

Authors:  Sherry S Smith; Tricia Patterson; Mary E Pauza
Journal:  J Immunol       Date:  2005-04-01       Impact factor: 5.422

5.  Gene expression profiles in psoriasis: analysis of impact of body site location and clinical severity.

Authors:  V Quekenborn-Trinquet; P Fogel; O Aldana-Jammayrac; P Ancian; M Demarchez; P Rossio; H L Richards; B Kirby; C Nguyen; J J Voegel; C E M Griffiths
Journal:  Br J Dermatol       Date:  2005-03       Impact factor: 9.302

6.  Psoriasis-like skin disease and arthritis caused by inducible epidermal deletion of Jun proteins.

Authors:  Rainer Zenz; Robert Eferl; Lukas Kenner; Lore Florin; Lars Hummerich; Denis Mehic; Harald Scheuch; Peter Angel; Erwin Tschachler; Erwin F Wagner
Journal:  Nature       Date:  2005-09-15       Impact factor: 49.962

7.  Peripheral blood gene expression profiling in rheumatoid arthritis.

Authors:  F M Batliwalla; E C Baechler; X Xiao; W Li; S Balasubramanian; H Khalili; A Damle; W A Ortmann; A Perrone; A B Kantor; P S Gulko; M Kern; R Furie; T W Behrens; P K Gregersen
Journal:  Genes Immun       Date:  2005-08       Impact factor: 2.676

Review 8.  Psoriatic arthritis: epidemiology, clinical features, course, and outcome.

Authors:  D D Gladman; C Antoni; P Mease; D O Clegg; P Nash
Journal:  Ann Rheum Dis       Date:  2005-03       Impact factor: 19.103

Review 9.  Immunopathology of psoriasis and psoriatic arthritis.

Authors:  D J Veale; C Ritchlin; O FitzGerald
Journal:  Ann Rheum Dis       Date:  2005-03       Impact factor: 19.103

10.  Synovial histopathology of psoriatic arthritis, both oligo- and polyarticular, resembles spondyloarthropathy more than it does rheumatoid arthritis.

Authors:  Elli Kruithof; Dominique Baeten; Leen De Rycke; Bernard Vandooren; Dirk Foell; Johannes Roth; Juan D Cañete; Annemieke M Boots; Eric M Veys; Filip De Keyser
Journal:  Arthritis Res Ther       Date:  2005-03-03       Impact factor: 5.156

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  49 in total

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Journal:  J Mol Med (Berl)       Date:  2010-07-17       Impact factor: 4.599

Review 2.  Systems biology in immunology: a computational modeling perspective.

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Journal:  Annu Rev Immunol       Date:  2011       Impact factor: 28.527

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Authors:  Emily C Baechler; Jason W Bauer; Catherine A Slattery; Ward A Ortmann; Karl J Espe; Jill Novitzke; Steven R Ytterberg; Peter K Gregersen; Timothy W Behrens; Ann M Reed
Journal:  Mol Med       Date:  2007 Jan-Feb       Impact factor: 6.354

4.  Isolation of microarray-grade total RNA, microRNA, and DNA from a single PAXgene blood RNA tube.

Authors:  Mogens Kruhøffer; Lars Dyrskjøt; Thorsten Voss; Raija L P Lindberg; Ralf Wyrich; Thomas Thykjaer; Torben F Orntoft
Journal:  J Mol Diagn       Date:  2007-08-09       Impact factor: 5.568

Review 5.  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 6.  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

7.  Microfluidic leukocyte isolation for gene expression analysis in critically ill hospitalized patients.

Authors:  Aman Russom; Palaniappan Sethu; Daniel Irimia; Michael N Mindrinos; Steve E Calvano; Iris Garcia; Celeste Finnerty; Cynthia Tannahill; Amer Abouhamze; Julie Wilhelmy; M Cecilia López; Henry V Baker; David N Herndon; Stephen F Lowry; Ronald V Maier; Ronald W Davis; Lyle L Moldawer; Ronald G Tompkins; Mehmet Toner
Journal:  Clin Chem       Date:  2008-03-28       Impact factor: 8.327

8.  RNA-stabilized whole blood samples but not peripheral blood mononuclear cells can be stored for prolonged time periods prior to transcriptome analysis.

Authors:  Svenja Debey-Pascher; Andrea Hofmann; Fatima Kreusch; Gerold Schuler; Beatrice Schuler-Thurner; Joachim L Schultze; Andrea Staratschek-Jox
Journal:  J Mol Diagn       Date:  2011-07       Impact factor: 5.568

9.  Prediction of acute multiple sclerosis relapses by transcription levels of peripheral blood cells.

Authors:  Michael Gurevich; Tamir Tuller; Udi Rubinstein; Rotem Or-Bach; Anat Achiron
Journal:  BMC Med Genomics       Date:  2009-07-22       Impact factor: 3.063

10.  An eight-gene blood expression profile predicts the response to infliximab in rheumatoid arthritis.

Authors:  Antonio Julià; Alba Erra; Carles Palacio; Carlos Tomas; Xavier Sans; Pere Barceló; Sara Marsal
Journal:  PLoS One       Date:  2009-10-22       Impact factor: 3.240

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