Literature DB >> 12096225

A 588-gene microarray analysis of the peripheral blood mononuclear cells of spondyloarthropathy patients.

J Gu1, E Märker-Hermann, D Baeten, W C Tsai, D Gladman, M Xiong, H Deister, J G Kuipers, F Huang, Y W Song, W Maksymowych, J Kalsi, M Bannai, N Seta, M Rihl, L J Crofford, E Veys, F De Keyser, D T Y Yu.   

Abstract

OBJECTIVES: To identify genes which are more highly expressed in the peripheral blood mononuclear cells (PBMC) of patients with spondyloarthropathy (SpA), rheumatoid arthritis (RA) and psoriatic arthritis (PsA), in comparison to normal subjects.
METHODS: A 588-gene microarray was used as a screening tool to select a panel of such genes from PBMC of these subjects and of normal subjects. Results were then validated by reverse transcription-polymerase chain reaction (RT-PCR).
RESULTS: The following genes were more highly expressed in arthritis patients than in normal subjects: macrophage differentiation marker MNDA (myeloid nuclear differentiation antigen), MRP8 and MRP14 (migratory inhibitory factor-related proteins); signalling molecules JAK3 (janus kinase 3) and MAP kinase p38 (mitogen-activated protein kinase); receptors TNFR2/p75, C-C-chemokine receptor type 1 (CCR1), C-X-C-chemokine receptor type 4 (CXCR4) and integrin beta1; and the cytokines/chemokines interleukin (IL) 1beta and IL-8. Expression of CXCR4 was unexpectedly high among all arthritis subjects. Using RT-PCR, ELISA and immunohistology, expression of stromal cell-derived factor 1 (SDF-1) was demonstrated in arthritis joints.
CONCLUSIONS: The CXCR4/SDF-1 is a potential pro-inflammatory axis for RA, PsA and SpA.

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Year:  2002        PMID: 12096225     DOI: 10.1093/rheumatology/41.7.759

Source DB:  PubMed          Journal:  Rheumatology (Oxford)        ISSN: 1462-0324            Impact factor:   7.580


  29 in total

1.  Technical validation of cDNA based microarray as screening technique to identify candidate genes in synovial tissue biopsy specimens from patients with spondyloarthropathy.

Authors:  M Rihl; D Baeten; N Seta; J Gu; F De Keyser; E M Veys; J G Kuipers; H Zeidler; D T Y Yu
Journal:  Ann Rheum Dis       Date:  2004-05       Impact factor: 19.103

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

Authors:  Franak M Batliwalla; 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
Journal:  Mol Med       Date:  2005 Jan-Dec       Impact factor: 6.354

Review 3.  Biomarker development for axial spondyloarthritis.

Authors:  Matthew A Brown; Zhixiu Li; Kim-Anh Lê Cao
Journal:  Nat Rev Rheumatol       Date:  2020-06-30       Impact factor: 20.543

Review 4.  Where do we stand with the genetics of psoriatic arthritis?

Authors:  Darren D O'Rielly; Proton Rahman
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Authors:  J G Walker; M J Ahern; M Coleman; H Weedon; V Papangelis; D Beroukas; P J Roberts-Thomson; M D Smith
Journal:  Ann Rheum Dis       Date:  2005-08-11       Impact factor: 19.103

6.  Changes in gene expression profiles of the hip joint ligament of patients with ankylosing spondylitis revealed by DNA chip.

Authors:  Ling Xu; Qingwen Sun; Songmin Jiang; Jia Li; Chongru He; Weidong Xu
Journal:  Clin Rheumatol       Date:  2012-08-18       Impact factor: 2.980

7.  The therapeutic potential of the filarial nematode-derived immunodulator, ES-62 in inflammatory disease.

Authors:  M M Harnett; A J Melendez; W Harnett
Journal:  Clin Exp Immunol       Date:  2009-12-01       Impact factor: 4.330

8.  A gene signature for post-infectious chronic fatigue syndrome.

Authors:  John W Gow; Suzanne Hagan; Pawel Herzyk; Celia Cannon; Peter O Behan; Abhijit Chaudhuri
Journal:  BMC Med Genomics       Date:  2009-06-25       Impact factor: 3.063

9.  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

10.  Peripheral blood gene expression patterns discriminate among chronic inflammatory diseases and healthy controls and identify novel targets.

Authors:  Bertalan Mesko; Szilard Poliska; Andrea Szegedi; Zoltan Szekanecz; Karoly Palatka; Maria Papp; Laszlo Nagy
Journal:  BMC Med Genomics       Date:  2010-05-05       Impact factor: 3.063

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