1. Garg N, van den Bosch F, Deodhar A. The concept of spondyloarthritis: where are we now? Best Pract Res Clin Rheumatol. 2014; 28:663–72.
Article
2. de Vlam K. Soluble and tissue biomarkers in ankylosing spondylitis. Best Pract Res Clin Rheumatol. 2010; 24:671–82.
Article
3. Häupl T, Stuhlmüller B, Grützkau A, Radbruch A, Burmester GR. Does gene expression analysis inform us in rheumatoid arthritis? Ann Rheum Dis. 2010; 69(Suppl 1):i37–42.
4. Bauer JW, Bilgic H, Baechler EC. Gene-expression profiling in rheumatic disease: tools and therapeutic potential. Nat Rev Rheumatol. 2009; 5:257–65.
Article
5. Smith JA, Barnes MD, Hong D, DeLay ML, Inman RD, Colbert RA. Gene expression analysis of macrophages derived from ankylosing spondylitis patients reveals interfer-on-gamma dysregulation. Arthritis Rheum. 2008; 58:1640–9.
6. Duan R, Leo P, Bradbury L, Brown MA, Thomas G. Gene expression profiling reveals a downregulation in immune-associated genes in patients with AS. Ann Rheum Dis. 2010; 69:1724–9.
Article
7. Gu J, Wei YL, Wei JC, Huang F, Jan MS, Centola M, et al. Identification of RGS1 as a candidate biomarker for undifferentiated spondylarthritis by genomewide expression profiling and real-time polymerase chain reaction. Arthritis Rheum. 2009; 60:3269–79.
Article
8. Sharma SM, Choi D, Planck SR, Harrington CA, Austin CR, Lewis JA, et al. Insights in to the pathogenesis of axial spondyloarthropathy based on gene expression profiles. Arthritis Res Ther. 2009; 11:R168.
Article
9. Pimentel-Santos FM, Ligeiro D, Matos M, Mourão AF, Costa J, Santos H, et al. Whole blood transcriptional profiling in ankylosing spondylitis identifies novel candidate genes that might contribute to the inflammatory and tissue-destructive disease aspects. Arthritis Res Ther. 2011; 13:R57.
Article
10. Assassi S, Reveille JD, Arnett FC, Weisman MH, Ward MM, Agarwal SK, et al. Whole-blood gene expression profiling in ankylosing spondylitis shows upregulation of toll-like receptor 4 and 5. J Rheumatol. 2011; 38:87–98.
Article
11. Ramasamy A, Mondry A, Holmes CC, Altman DG. Key issues in conducting a meta-analysis of gene expression microarray datasets. PLoS Med. 2008; 5:e184.
Article
12. Xia J, Gill EE, Hancock RE. NetworkAnalyst for statistical, visual and network-based meta-analysis of gene expression data. Nat Protoc. 2015; 10:823–44.
Article
13. Roberts PC. Gene expression microarray data analysis demystified. Biotechnol Annu Rev. 2008; 14:29–61.
Article
14. Breuer K, Foroushani AK, Laird MR, Chen C, Sribnaia A, Lo R, et al. InnateDB: systems biology of innate immunity and beyond–recent updates and continuing curation. Nucleic Acids Res. 2013; 41:D1228–33.
Article
15. Manoli T, Gretz N, Gröne HJ, Kenzelmann M, Eils R, Brors B. Group testing for pathway analysis improves com-parability of different microarray datasets. Bioinformatics. 2006; 22:2500–6.
Article
16. Ein-Dor L, Kela I, Getz G, Givol D, Domany E. Outcome signature genes in breast cancer: is there a unique set? Bioinformatics. 2005; 21:171–8.
Article
17. Shen R, Chinnaiyan AM, Ghosh D. Pathway analysis reveals functional convergence of gene expression profiles in breast cancer. BMC Med Genomics. 2008; 1:28.
Article
18. Ein-Dor L, Zuk O, Domany E. Thousands of samples are needed to generate a robust gene list for predicting outcome in cancer. Proc Natl Acad Sci U S A. 2006; 103:5923–8.
Article
19. Tseng GC, Ghosh D, Feingold E. Comprehensive literature review and statistical considerations for microarray meta-analysis. Nucleic Acids Res. 2012; 40:3785–99.
Article
20. Tan FK, Farheen K. The potential importance of Toll-like receptors in ankylosing spondylitis. Int J Clin Rheumtol. 2011; 6:649–54.
Article
21. Taurog JD, Richardson JA, Croft JT, Simmons WA, Zhou M, Fernández-Sueiro JL, et al. The germfree state prevents development of gut and joint inflammatory disease in HLA-B27 transgenic rats. J Exp Med. 1994; 180:2359–64.
Article
22. De Rycke L, Vandooren B, Kruithof E, De Keyser F, Veys EM, Baeten D. Tumor necrosis factor alpha blockade treatment down-modulates the increased systemic and local expression of Toll-like receptor 2 and Toll-like receptor 4 in spondylarthropathy. Arthritis Rheum. 2005; 52:2146–58.
23. Yilmaz N, Ozaslan J. Biochemical bone turnover markers in patients with ankylosing spondylitis. Clin Rheumatol. 2000; 19:92–8.
24. Appel H, Kuhne M, Spiekermann S, Köhler D, Zacher J, Stein H, et al. Immunohistochemical analysis of hip arthritis in ankylosing spondylitis: evaluation of the bone-cartilage interface and subchondral bone marrow. Arthritis Rheum. 2006; 54:1805–13.
Article
25. Neidhart M, Baraliakos X, Seemayer C, Zelder C, Gay RE, Michel BA, et al. Expression of cathepsin K and matrix metalloproteinase 1 indicate persistent osteodestructive activity in longstanding ankylosing spondylitis. Ann Rheum Dis. 2009; 68:1334–9.
Article
26. Im CH, Kang EH, Ki JY, Shin DW, Choi HJ, Chang EJ, et al. Receptor activator of nuclear factor kappa B ligand-mediated osteoclastogenesis is elevated in ankylosing spondylitis. Clin Exp Rheumatol. 2009; 27:620–5.
27. Taylan A, Sari I, Akinci B, Bilge S, Kozaci D, Akar S, et al. Biomarkers and cytokines of bone turnover: extensive evaluation in a cohort of patients with ankylosing spondylitis. BMC Musculoskelet Disord. 2012; 13:191.
Article
28. Schett G. Joint remodelling in inflammatory disease. Ann Rheum Dis. 2007; 66(Suppl 3):iii42–4.
Article
29. Smith JA. Update on ankylosing spondylitis: current concepts in pathogenesis. Curr Allergy Asthma Rep. 2015; 15:489.
Article
30. International Genetics of Ankylosing Spondylitis Consortium (IGAS). Cortes A, Hadler J, Pointon JP, Robinson PC, Karaderi T, et al. Identification of multiple risk variants for ankylosing spondylitis through high-density genotyping of immune-related loci. Nat Genet. 2013; 45:730–8.
Article
31. Yeremenko N, Paramarta JE, Baeten D. The interleukin-23/ interleukin-17 immune axis as a promising new target in the treatment of spondyloarthritis. Curr Opin Rheumatol. 2014; 26:361–70.
32. Robinson PC, Brown MA. Genetics of ankylosing spondylitis. Mol Immunol. 2014; 57:2–11.
Article
33. Intlekofer AM, Banerjee A, Takemoto N, Gordon SM, Dejong CS, Shin H, et al. Anomalous type 17 response to viral infection by CD8+ T cells lacking T-bet and eome-sodermin. Science. 2008; 321:408–11.
34. Ruutu M, Thomas G, Steck R, Degli-Esposti MA, Zinkernagel MS, Alexander K, et al. β-glucan triggers spondylarthritis and Crohn's disease-like ileitis in SKG mice. Arthritis Rheum. 2012; 64:2211–22.
Article
35. Dumeaux V, Johansen J, Børresen-Dale AL, Lund E. Gene expression profiling of whole-blood samples from women exposed to hormone replacement therapy. Mol Cancer Ther. 2006; 5:868–76.
Article