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International Journal of Genomics
Volume 2017 (2017), Article ID 1746426, 7 pages
https://doi.org/10.1155/2017/1746426
Research Article

Blood Transcriptional Signatures for Disease Progression in a Rat Model of Osteoarthritis

1Department of Molecular Neuropharmacology, Institute of Pharmacology Polish Academy of Sciences, Smetna 12, 31-343 Krakow, Poland
2Department of Pain Pharmacology, Laboratory of Pain Pathophysiology, Institute of Pharmacology Polish Academy of Sciences, Smetna 12, 31-343 Krakow, Poland

Correspondence should be addressed to Katarzyna Starowicz; lp.wokark.nap-fi@worats

Received 5 March 2017; Revised 17 May 2017; Accepted 29 May 2017; Published 3 July 2017

Academic Editor: Marco Gerdol

Copyright © 2017 Michał Korostyński et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. M. Ishijima, H. Kaneko, and K. Kaneko, “The evolving role of biomarkers for osteoarthritis,” Therapeutic Advances in Musculoskeletal Disease, vol. 6, no. 4, pp. 144–153, 2014. View at Publisher · View at Google Scholar · View at Scopus
  2. T. Mabey and S. Honsawek, “Cytokines as biochemical markers for knee osteoarthritis,” World Journal of Orthopedics, vol. 6, no. 1, pp. 95–105, 2015. View at Publisher · View at Google Scholar · View at Scopus
  3. M. Attur, S. Krasnokutsky, A. Statnikov et al., “Low-grade inflammation in symptomatic knee osteoarthritis: prognostic value of inflammatory plasma lipids and peripheral blood leukocyte biomarkers,” Arthritis & Rheumatology, vol. 67, no. 11, pp. 2905–2915, 2015. View at Publisher · View at Google Scholar · View at Scopus
  4. L. N. Nwosu, M. Allen, L. Wyatt et al., “Pain prediction by serum biomarkers of bone turnover in people with knee osteoarthritis: an observational study of TRAcP5b and cathepsin K in OA,” Osteoarthritis and Cartilage, vol. 25, no. 6, pp. 858–865, 2017. View at Publisher · View at Google Scholar
  5. P. R. Kornaat, J. L. Bloem, R. Y. Ceulemans et al., “Osteoarthritis of the knee: association between clinical features and MR imaging findings,” Radiology, vol. 239, no. 3, pp. 811–817, 2006. View at Publisher · View at Google Scholar · View at Scopus
  6. J. H. Kellgren and J. S. Lawrence, “Radiological assessment of osteo-arthrosis,” Annals of the Rheumatic Diseases, vol. 16, no. 4, pp. 494–502, 1957. View at Publisher · View at Google Scholar
  7. M. A. Karsdal, C. Christiansen, C. Ladel, K. Henriksen, V. B. Kraus, and A. C. Bay-Jensen, “Osteoarthritis—a case for personalized health care?” Osteoarthritis and Cartilage, vol. 22, no. 1, pp. 7–16, 2014. View at Publisher · View at Google Scholar · View at Scopus
  8. U. Ahmed, A. Anwar, R. S. Savage et al., “Biomarkers of early stage osteoarthritis, rheumatoid arthritis and musculoskeletal health,” Scientific Reports, vol. 5, p. 9259, 2015. View at Google Scholar
  9. J. Pera, M. Korostynski, S. Golda et al., “Gene expression profiling of blood in ruptured intracranial aneurysms: in search of biomarkers,” Journal of Cerebral Blood Flow and Metabolism, vol. 33, no. 7, pp. 1025–1031, 2013. View at Publisher · View at Google Scholar · View at Scopus
  10. F. M. Batliwalla, W. Li, C. T. Ritchlin et al., “Microarray analyses of peripheral blood cells identifies unique gene expression signature in psoriatic arthritis,” Molecular Medicine, vol. 11, no. 1–12, pp. 21–29, 2005. View at Publisher · View at Google Scholar · View at Scopus
  11. Y. F. Ramos, S. D. Bos, N. Lakenberg et al., “Genes expressed in blood link osteoarthritis with apoptotic pathways,” Annals of the Rheumatic Diseases, vol. 73, no. 10, pp. 1844–1853, 2014. View at Publisher · View at Google Scholar · View at Scopus
  12. M. Attur, I. Belitskaya-Levy, C. Oh et al., “Increased interleukin-1beta gene expression in peripheral blood leukocytes is associated with increased pain and predicts risk for progression of symptomatic knee osteoarthritis,” Arthritis and Rheumatism, vol. 63, no. 7, pp. 1908–1917, 2011. View at Publisher · View at Google Scholar · View at Scopus
  13. Y. F. Ramos, W. den Hollander, J. V. Bovee et al., “Genes involved in the osteoarthritis process identified through genome wide expression analysis in articular cartilage; the RAAK study,” PloS One, vol. 9, no. 7, article e103056, 2014. View at Google Scholar
  14. M. J. Peters, Y. F. Ramos, W. den Hollander et al., “Associations between joint effusion in the knee and gene expression levels in the circulation: a meta-analysis,” F1000Research, vol. 5, p. 109, 2016. View at Publisher · View at Google Scholar · View at Scopus
  15. J. D. Pomonis, J. M. Boulet, S. L. Gottshall et al., “Development and pharmacological characterization of a rat model of osteoarthritis pain,” Pain, vol. 114, no. 3, pp. 339–346, 2005. View at Publisher · View at Google Scholar · View at Scopus
  16. K. Kobayashi, R. Imaizumi, H. Sumichika et al., “Sodium iodoacetate-induced experimental osteoarthritis and associated pain model in rats,” The Journal of Veterinary Medical Science, vol. 65, no. 11, pp. 1195–1199, 2003. View at Publisher · View at Google Scholar · View at Scopus
  17. J. L. Kamm, D. D. Frisbie, C. W. McIlwraith, and K. E. Orr, “Gene biomarkers in peripheral white blood cells of horses with experimentally induced osteoarthritis,” American Journal of Veterinary Research, vol. 74, no. 1, pp. 115–121, 2013. View at Publisher · View at Google Scholar · View at Scopus
  18. A. Okuhara, T. Nakasa, H. Shibuya et al., “Changes in microRNA expression in peripheral mononuclear cells according to the progression of osteoarthritis,” Modern Rheumatology, vol. 22, no. 3, pp. 446–457, 2012. View at Google Scholar
  19. Y. Henrotin, “Osteoarthritis year 2011 in review: biochemical markers of osteoarthritis: an overview of research and initiatives,” Osteoarthritis and Cartilage, vol. 20, no. 3, pp. 215–217, 2012. View at Publisher · View at Google Scholar · View at Scopus
  20. P. Chandran, M. Pai, E. A. Blomme, G. C. Hsieh, M. W. Decker, and P. Honore, “Pharmacological modulation of movement-evoked pain in a rat model of osteoarthritis,” European Journal of Pharmacology, vol. 613, no. 1–3, pp. 39–45, 2009. View at Publisher · View at Google Scholar · View at Scopus
  21. C. Li, “Automating dChip: toward reproducible sharing of microarray data analysis,” BMC Bioinformatics, vol. 9, p. 231, 2008. View at Publisher · View at Google Scholar · View at Scopus
  22. M. V. Kuleshov, M. R. Jones, A. D. Rouillard et al., “Enrichr: a comprehensive gene set enrichment analysis web server 2016 update,” Nucleic Acids Research, vol. 44, no. W1, pp. W90–W97, 2016. View at Publisher · View at Google Scholar
  23. L. J. Sandell, “Etiology of osteoarthritis: genetics and synovial joint development,” Nature Reviews Rheumatology, vol. 8, no. 2, pp. 77–89, 2012. View at Publisher · View at Google Scholar · View at Scopus
  24. J. Shou, C. M. Bull, L. Li et al., “Identification of blood biomarkers of rheumatoid arthritis by transcript profiling of peripheral blood mononuclear cells from the rat collagen-induced arthritis model,” Arthritis Research & Therapy, vol. 8, no. 1, p. R28, 2006. View at Publisher · View at Google Scholar · View at Scopus
  25. N. Rapin, F. O. Bagger, J. Jendholm et al., “Comparing cancer vs normal gene expression profiles identifies new disease entities and common transcriptional programs in AML patients,” Blood, vol. 123, no. 6, pp. 894–904, 2014. View at Publisher · View at Google Scholar · View at Scopus
  26. J. Dolan and K. J. Mitchell, “Mutation of Elfn1 in mice causes seizures and hyperactivity,” PLoS One, vol. 8, no. 11, article e80491, 2013. View at Google Scholar
  27. F. Castets, T. Rakitina, S. Gaillard, A. Moqrich, M. G. Mattei, and A. Monneron, “Zinedin, SG2NA, and striatin are calmodulin-binding, WD repeat proteins principally expressed in the brain,” The Journal of Biological Chemistry, vol. 275, no. 26, pp. 19970–19977, 2000. View at Publisher · View at Google Scholar · View at Scopus
  28. D. Baillat, M. A. Hakimi, A. M. Naar, A. Shilatifard, N. Cooch, and R. Shiekhattar, “Integrator, a multiprotein mediator of small nuclear RNA processing, associates with the C-terminal repeat of RNA polymerase II,” Cell, vol. 123, no. 2, pp. 265–276, 2005. View at Publisher · View at Google Scholar · View at Scopus
  29. W. Wei, X. Wang, M. Yang et al., “PGC1beta mediates PPARgamma activation of osteoclastogenesis and rosiglitazone-induced bone loss,” Cell Metabolism, vol. 11, no. 6, pp. 503–516, 2010. View at Publisher · View at Google Scholar · View at Scopus
  30. E. M. Rosen, S. Fan, and C. Isaacs, “BRCA1 in hormonal carcinogenesis: basic and clinical research,” Endocrine-Related Cancer, vol. 12, no. 3, pp. 533–548, 2005. View at Publisher · View at Google Scholar · View at Scopus
  31. A. Moers, B. Nieswandt, S. Massberg et al., “G13 is an essential mediator of platelet activation in hemostasis and thrombosis,” Nature Medicine, vol. 9, no. 11, pp. 1418–1422, 2003. View at Publisher · View at Google Scholar · View at Scopus
  32. D. Li and R. Roberts, “WD-repeat proteins: structure characteristics, biological function, and their involvement in human diseases,” Cellular and Molecular Life Sciences, vol. 58, no. 14, pp. 2085–2097, 2001. View at Publisher · View at Google Scholar
  33. E. Manser, T. Leung, H. Salihuddin, L. Tan, and L. Lim, “A non-receptor tyrosine kinase that inhibits the GTPase activity of p21cdc42,” Nature, vol. 363, no. 6427, pp. 364–367, 1993. View at Publisher · View at Google Scholar
  34. M. J. Barter, C. Bui, and D. A. Young, “Epigenetic mechanisms in cartilage and osteoarthritis: DNA methylation, histone modifications and microRNAs,” Osteoarthritis and Cartilage, vol. 20, no. 5, pp. 339–349, 2012. View at Publisher · View at Google Scholar · View at Scopus
  35. L. N. Reynard and J. Loughlin, “The genetics and functional analysis of primary osteoarthritis susceptibility,” Expert Reviews in Molecular Medicine, vol. 15, p. e2, 2013. View at Google Scholar