Insights in to the pathogenesis of axial spondyloarthropathy based on gene expression profiles

IntroductionAxial spondyloarthropathy (SpA) is a group of inflammatory diseases, with ankylosing spondylitis as the prototype. SpA affects the axial skeleton, entheses, joints and, at times, the eyes. This study tested the hypothesis that SpA is characterized by a distinct pattern of gene expression in peripheral blood of affected individuals compared with healthy controls.MethodsHigh-density, human GeneChip® probe arrays were used to profile mRNA of peripheral blood cells from 18 subjects with SpA and 25 normal individuals. Samples were processed as two separate sets at different times (11 SpA + 12 control subjects in primary set (Set 1); 7 SpA+ 13 control subjects in the validation set (Set 2)). Blood samples were taken at a time when patients were not receiving systemic immunomodulatory therapy. Differential expression was defined as a 1.5-fold change with a q value < 5%. Gene ontology and pathway information were also studied.ResultsSignals from 134 probe sets (representing 95 known and 12 unknown gene transcripts) were consistently different from controls in both Sets 1 and 2. Included among these were transcripts for a group of 20 genes, such as interleukin-1 (IL-1) receptors 1 and 2, Nod-like receptor family, pyrin domain containing 2 (NLRP2), secretory leukocyte peptidase inhibitor (SLPI), secreted protein acidic and rich in cysteine (SPARC), and triggering receptor expressed on myeloid cells 1 (TREM-1) that are clearly related to the immune or inflammatory response and a group of 4 transcripts that have a strong role in bone remodeling.ConclusionsOur observations are the first to implicate SPARC, SLPI, and NLRP2, a component of the innate immune system, in the pathogenesis of SpA. Our results also indicate a possible role for IL-1 and its receptors in SpA. In accord with the bone pathology component of SpA, we also found that expression levels of transcripts reflecting bone remodeling factors are also distinguishable in peripheral blood from patients with SpA versus controls. These results confirm some previously identified biomarkers implicated in the pathogenesis of SpA and also point to novel mediators in this disease.

[1]  D. Baeten,et al.  Ankylosing spondylitis and bowel disease. , 2006, Baillière's Best Practice & Research : Clinical Rheumatology.

[2]  Steven R Goldring,et al.  Eating bone or adding it: the Wnt pathway decides , 2007, Nature Medicine.

[3]  R. Tibshirani,et al.  Significance analysis of microarrays applied to the ionizing radiation response , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[4]  F. Luyten,et al.  Modulation of bone morphogenetic protein signaling inhibits the onset and progression of ankylosing enthesitis. , 2005, The Journal of clinical investigation.

[5]  C. Li,et al.  Model-based analysis of oligonucleotide arrays: expression index computation and outlier detection. , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[6]  M. Xiong,et al.  A 588-gene microarray analysis of the peripheral blood mononuclear cells of spondyloarthropathy patients. , 2002, Rheumatology.

[7]  H. Akaike A new look at the statistical model identification , 1974 .

[8]  R. Macko,et al.  Increased circulating concentrations of the counteradhesive proteins SPARC and thrombospondin-1 in systemic sclerosis (scleroderma). Relationship to platelet and endothelial cell activation. , 2002, The Journal of rheumatology.

[9]  Shuying Sun,et al.  Association between the interleukin-1 family gene cluster and psoriatic arthritis. , 2006, Arthritis and rheumatism.

[10]  Terence P. Speed,et al.  A comparison of normalization methods for high density oligonucleotide array data based on variance and bias , 2003, Bioinform..

[11]  C. Lindgren,et al.  •Australo-Anglo-American Spondylitis Consortium (TASC), et al. Association scan of 14,500 nonsynonymous SNPs in four diseases identifies autoimmunity variants. Nat Genet. 2007 Nov; 39(11):1329-37. * Member of the consortium and T2D analysis subgroup. PMID: 17952073. , 2007 .

[12]  D. Radzioch,et al.  The secretory leukocyte protease inhibitor is a type 1 insulin-like growth factor receptor-regulated protein that protects against liver metastasis by attenuating the host proinflammatory response. , 2006, Cancer research.

[13]  Christof Niehrs,et al.  Kremen proteins are Dickkopf receptors that regulate Wnt/beta-catenin signalling. , 2002, Nature.

[14]  Yetao Wang,et al.  PYPAF3, a PYRIN-containing APAF-1-like Protein, Is a Feedback Regulator of Caspase-1-dependent Interleukin-1β Secretion* , 2005, Journal of Biological Chemistry.

[15]  J. Braun,et al.  Inflammatory back pain in ankylosing spondylitis: a reassessment of the clinical history for application as classification and diagnostic criteria. , 2006, Arthritis and rheumatism.

[16]  Justine R. Smith,et al.  Hypothesis: sarcoidosis is a STAT1-mediated disease. , 2009, Clinical Immunology.

[17]  John D. Storey,et al.  Statistical significance for genomewide studies , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[18]  Christian Stehlik,et al.  PAN1/NALP2/PYPAF2, an Inducible Inflammatory Mediator That Regulates NF-κB and Caspase-1 Activation in Macrophages* , 2004, Journal of Biological Chemistry.

[19]  J Tuomilehto,et al.  Prospective meta-analysis of interleukin 1 gene complex polymorphisms confirms associations with ankylosing spondylitis , 2007, Annals of the rheumatic diseases.

[20]  G. Cook,et al.  Primer: inflammasomes and interleukin 1β in inflammatory disorders , 2008, Nature Clinical Practice Rheumatology.

[21]  M. Colombo,et al.  Accelerated dendritic-cell migration and T-cell priming in SPARC-deficient mice , 2005, Journal of Cell Science.

[22]  J. Teichmann,et al.  Ankylosing spondylitis and bone mineral density—what is the ideal tool for measurement? , 2005, Rheumatology International.

[23]  Christof Niehrs,et al.  Kremen proteins are Dickkopf receptors that regulate Wnt/β-catenin signalling , 2002, Nature.

[24]  J. Sieper,et al.  The challenge of diagnosis and classification in early ankylosing spondylitis: do we need new criteria? , 2005, Arthritis and rheumatism.

[25]  G. Karypis,et al.  Interferon-inducible gene expression signature in peripheral blood cells of patients with severe lupus , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[26]  Justine R. Smith,et al.  Application of Biostatistics and Bioinformatics Tools to Identify Putative Transcription Factor-Gene Regulatory Network of Ankylosing Spondylitis and Sarcoidosis , 2009, Communications in statistics: theory and methods.

[27]  Rafael A. Irizarry,et al.  A Model-Based Background Adjustment for Oligonucleotide Expression Arrays , 2004 .

[28]  Ec Beachler Interferon-inducible gene expression signature in peripheral blood cells of patients with severe lupus , 2003 .

[29]  Simon C. Potter,et al.  Association scan of 14,500 nonsynonymous SNPs in four diseases identifies autoimmunity variants , 2007, Nature Genetics.