Plasma levels of interleukin-1 receptor antagonist (IL1Ra) predict radiographic progression of symptomatic knee osteoarthritis

Osteoarthritis and Cartilage

Volumn 23, Issue 11, 2015, Pages 1915-1924

  Attur, M ^a   Statnikov, A ^a   Samuels, J ^a   Li, Z ^a   Alekseyenko, A V ^a   Greenberg, J D ^a   Krasnokutsky, S ^a   Rybak, L ^a   Lu, Q A ^b   Todd, J ^b   Zhou, H ^a   Jordan, J M ^c   Kraus, V B ^d   Aliferis, C F ^a   Abramson, S B ^a  

^a NEW YORK UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b SINGULEX INC   (United States)

^c UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

^d DUKE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Causal analysis; Interleukin 1 receptor antagonist (IL1Ra); Osteoarthritis; Radiographic progression

Indexed keywords

C REACTIVE PROTEIN; GELATINASE A; INTERLEUKIN 1 RECEPTOR BLOCKING AGENT; INTERLEUKIN 17; INTERLEUKIN 1BETA; INTERLEUKIN 6; INTERLEUKIN 6 RECEPTOR ALPHA; TUMOR NECROSIS FACTOR ALPHA; TUMOR NECROSIS FACTOR RECEPTOR 2; VASCULOTROPIN; BIOLOGICAL MARKER; INTERLEUKIN 1 RECEPTOR;

ADULT; AREA UNDER THE CURVE; ARTICLE; BLOOD SAMPLING; BODY MASS; CLINICAL ASSESSMENT; CONTROLLED STUDY; CROSS-SECTIONAL STUDY; DIAGNOSTIC TEST ACCURACY STUDY; DISEASE COURSE; DISEASE SEVERITY; FEMALE; HUMAN; KNEE OSTEOARTHRITIS; KNEE RADIOGRAPHY; MAJOR CLINICAL STUDY; MALE; PRIORITY JOURNAL; PROGNOSIS; PROSPECTIVE STUDY; RISK FACTOR; SENSITIVITY AND SPECIFICITY; SYMPTOMATIC KNEE OSTEOARTHRITIS; ANTAGONISTS AND INHIBITORS; BLOOD; DIAGNOSTIC IMAGING; FOLLOW UP; PREDICTIVE VALUE; RADIOGRAPHY; TIME FACTOR;

BIOMARKERS; CROSS-SECTIONAL STUDIES; DISEASE PROGRESSION; FEMALE; FOLLOW-UP STUDIES; HUMANS; MALE; OSTEOARTHRITIS, KNEE; PREDICTIVE VALUE OF TESTS; PROSPECTIVE STUDIES; RADIOGRAPHY; RECEPTORS, INTERLEUKIN-1; TIME FACTORS;

EID: 84945279445     PISSN: 10634584     EISSN: 15229653     Source Type: Journal    
DOI: 10.1016/j.joca.2015.08.006     Document Type: Article

References (61)

1. Lawrence R.C., Felson D.T., Helmick C.G., Arnold L.M., Choi H., Deyo R.A., et al. Estimates of the prevalence of arthritis and other rheumatic conditions in the United States. Part II. Arthritis Rheum 2008, 58(1):26-35.
2. Attur M., Krasnokutsky-Samuels S., Samuels J., Abramson S.B. Prognostic biomarkers in osteoarthritis. Curr Opin Rheumatol 2013, 25(1):136-144.
3. Reijman M., Hazes J.M., Bierma-Zeinstra S.M., Koes B.W., Christgau S., Christiansen C., et al. A new marker for osteoarthritis: cross-sectional and longitudinal approach. Arthritis Rheum 2004, 50(8):2471-2478.
4. Meulenbelt I., Kloppenburg M., Kroon H.M., Houwing-Duistermaat J.J., Garnero P., Hellio-Le Graverand M.P., et al. Clusters of biochemical markers are associated with radiographic subtypes of osteoarthritis (OA) in subject with familial OA at multiple sites. The GARP study. Osteoarthritis Cartilage 2007, 15(4):379-385.
5. Lotz M., Martel-Pelletier J., Christiansen C., Brandi M.L., Bruyère O., Chapurlat R., et al. Value of biomarkers in osteoarthritis: current status and perspectives. Ann Rheum Dis 2013, 72(11):1756-1763.
6. Ramos Y.F., Metrustry S., Arden N., Bay-Jensen A.C., Beekman M., de Craen A.J., et al. Meta-analysis identifies loci affecting levels of the potential osteoarthritis biomarkers sCOMP and uCTX-II with genome wide significance. J Med Genet 2014, 51(9):596-604.
7. Van Spil W.E., Nair S.C., Kinds M.B., Emans P.J., Hilberdink W.K., Welsing P.M., et al. Systemic biochemical markers of joint metabolism and inflammation in relation to radiographic parameters and pain of the knee: data from CHECK, a cohort of early-osteoarthritis subjects. Osteoarthritis Cartilage 2015, 23(1):48-56.
8. Sowers M., Jannausch M., Stein E., Jamadar D., Hochberg M., Lachance L. C-reactive protein as a biomarker of emergent osteoarthritis. Osteoarthritis Cartilage 2002, 10(8):595-601.
9. Pelletier J.P., Martel-Pelletier J., Abramson S.B. Osteoarthritis, an inflammatory disease: potential implication for the selection of new therapeutic targets. Arthritis Rheum 2001, 44(6):1237-1247.
10. Abramson S.B., Attur M., Yazici Y. Prospects for disease modification in osteoarthritis. Nat Clin Pract Rheumatol 2006, 2(6):304-312.
11. Sohn D.H., Sokolove J., Sharpe O., Erhart J.C., Chandra P.E., Lahey L.J., et al. Plasma proteins present in osteoarthritic synovial fluid can stimulate cytokine production via toll-like receptor 4. Arthritis Res Ther 2012, 14(1):R7.
12. Berenbaum F. Osteoarthritis as an inflammatory disease (osteoarthritis is not osteoarthrosis!). Osteoarthritis Cartilage 2013, 21:16-21.
13. Krasnokutsky S., Belitskaya-Levy I., Bencardino J., Samuels J., Attur M., Regatte R., et al. Quantitative magnetic resonance imaging evidence of synovial proliferation is associated with radiographic severity of knee osteoarthritis. Arthritis Rheum 2011, 63(10):2983-2991.
14. Crema M.D., Felson D.T., Roemer F.W., Niu J., Marra M.D., Zhang Y., et al. Peripatellar synovitis: comparison between non-contrast-enhanced and contrast-enhanced MRI and association with pain. The MOST study. Osteoarthritis Cartilage 2013, 21(3):413-418.
15. Attur M., Belitskaya-Levy I., Oh C., Krasnokutsky S., Greenberg J., Samuels J., 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 Rheum 2011, 63(7):1908-1917.
16. Altman R., Asch E., Bloch D., Bole G., Borenstein D., Brandt K., et al. Development of criteria for the classification and reporting of osteoarthritis. Classification of osteoarthritis of the knee. Diagnostic and Therapeutic Criteria Committee of the American Rheumatism Association. Arthritis Rheum 1986, 29(8):1039-1049.
17. Kellgren J.H., Lawrence J.S. Radiological assessment of osteo-arthrosis. Ann Rheum Dis 1957, 16(4):494-502.
18. Todd J., Freese B., Lu A., Held D., Morey J., Livingston R., et al. Ultrasensitive flow-based immunoassays using single-molecule counting. Clin Chem 2007, 53(11):1990-1995.
19. Fawcett T. An introduction to ROC analysis. Pattern Recognit Lett 2006, 27(8):861-874.
20. DeLong E.R., DeLong D.M., Clarke-Pearson D.L. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 1988, 44(3):837-845.
21. Benjamini Y., Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Ser B 1995, 57(1):289-300.
22. Emrani P.S., Katz J.N., Kessler C.L., Reichmann W.M., Wright E.A., McAlindon T.E., et al. Joint space narrowing and Kellgren-Lawrence progression in knee osteoarthritis: an analytic literature synthesis. Osteoarthritis Cartilage 2008, 16(8):873-882.
23. Cooper C., Adachi J.D., Bardin T., Berenbaum F., Flamion B., Jonsson H., et al. How to define responders in osteoarthritis. Curr Med Res Opin 2013, 29(6):719-729.
24. Vapnik V.N. Statistical Learning Theory 1998, Wiley, New York.
25. Braga-Neto U.M., Dougherty E.R. Is cross-validation valid for small-sample microarray classification?. Bioinformatics 2004, 20(3):374-380.
26. Spirtes P., Glymour C.N., Scheines R. Causation, Prediction, and Search 2000, MIT Press, Cambridge, Massachusetts.
27. Hunter D.J., Niu J., Felson D.T., Harvey W.F., Gross K.D., McCree P., et al. Knee alignment does not predict incident osteoarthritis: the Framingham osteoarthritis study. Arthritis Rheum 2007, 56(4):1212-1218.
28. Niu J., Zhang Y.Q., Torner J., Nevitt M., Lewis C.E., Aliabadi P., et al. Is obesity a risk factor for progressive radiographic knee osteoarthritis?. Arthritis Rheum 2009, 61(3):329-335.
29. Zhou Z.Y., Liu Y.K., Chen H.L., Liu F. Body mass index and knee osteoarthritis risk: a dose-response meta-analysis. Obesity (Silver Spring) 2014, 22(10):2180-2185.
30. Weiss E. Knee osteoarthritis, body mass index and pain: data from the Osteoarthritis Initiative. Rheumatology (Oxford) 2014, 53(11):2095-2099.
31. Cubukcu D., Sarsan A., Alkan H. Relationships between pain, function and radiographic findings in osteoarthritis of the knee: a cross-sectional study. Arthritis 2012, 2012. 984060.
32. Benito M.J., Veale D.J., FitzGerald O., van den Berg W.B., Bresnihan B. Synovial tissue inflammation in early and late osteoarthritis. Ann Rheum Dis 2005, 64(9):1263-1267.
33. Pessler F., Dai L., Diaz-Torne C., Gomez-Vaquero C., Paessler M.E., Zheng D.H., et al. The synovitis of "non-inflammatory" orthopaedic arthropathies: a quantitative histological and immunohistochemical analysis. Ann Rheum Dis 2008, 67(8):1184-1187.
34. Wang Q., Rozelle A.L., Lepus C.M., Scanzello C.R., Song J.J., Larsen D.M., et al. Identification of a central role for complement in osteoarthritis. Nat Med 2011, 17(12):1674-1679.
35. van der Esch M., Knoop J., van der Leeden M., Roorda L.D., Lems W.F., Knol D.L., et al. Clinical phenotypes in patients with knee osteoarthritis: a study in the Amsterdam osteoarthritis cohort. Osteoarthritis Cartilage 2015, 23(4):544-549.
36. Karsdal M.A., Bihlet A., Byrjalsen I., Alexandersen P., Ladel C., Michaels M., et al. OA phenotypes, rather than disease stage, drive structural progression - identification of structural progressors from 2 phase III randomized clinical studies with symptomatic knee OA. Osteoarthritis Cartilage 2015, 23(4):550-558.
37. Houard X., Goldring M.B., Berenbaum F. Homeostatic mechanisms in articular cartilage and role of inflammation in osteoarthritis. Curr Rheumatol Rep 2013, 15(11):375.
38. Daghestani H.N., Pieper C.F., Kraus V.B. Soluble macrophage biomarkers indicate inflammatory phenotypes in patients with knee osteoarthritis. Arthritis Rheumatol 2015, 67(4):956-965.
39. Bruyère O., Cooper C., Arden N., Branco J., Brandi M.L., Herrero-Beaumont G., et al. Can we identify patients with high risk of osteoarthritis progression who will respond to treatment? A focus on epidemiology and phenotype of osteoarthritis. Drugs Aging 2015, 32(3):179-187.
40. Attur M., Wang H.Y., Kraus V.B., Bukowski J.F., Aziz N., Krasnokutsky S., et al. Radiographic severity of knee osteoarthritis is conditional on interleukin 1 receptor antagonist gene variations. Ann Rheum Dis 2010, 69(5):856-861.
41. Wu X., Kondragunta V., Kornman K.S., Wang H.Y., Duff G.W., Renner J.B., et al. IL-1 receptor antagonist gene as a predictive biomarker of progression of knee osteoarthritis in a population cohort. Osteoarthritis Cartilage 2013, 21(7):930-938.
42. Vannier E., Miller L.C., Dinarello C.A. Coordinated antiinflammatory effects of interleukin 4: interleukin 4 suppresses interleukin 1 production but up-regulates gene expression and synthesis of interleukin 1 receptor antagonist. Proc Natl Acad Sci U.S.A 1992, 89(9):4076-4080.
43. Wan L., Lin C.W., Lin Y.J., Sheu J.J., Chen B.H., Liao C.C., et al. Type I IFN induced IL1-Ra expression in hepatocytes is mediated by activating STAT6 through the formation of STAT2: STAT6 heterodimer. J Cell Mol Med 2008, 12(3):876-888.
44. Blom A.B., van Lent P.L., Libregts S., Holthuysen A.E., van der Kraan P.M., van Rooijen N., et al. Crucial role of macrophages in matrix metalloproteinase-mediated cartilage destruction during experimental osteoarthritis: involvement of matrix metalloproteinase 3. Arthritis Rheum 2007, 56(1):147-157.
45. Feve B., Bastard J.P. The role of interleukins in insulin resistance and type 2 diabetes mellitus. Nat Rev Endocrinol 2009, 5(6):305-311.
46. Juge-Aubry C.E., Henrichot E., Meier C.A. Adipose tissue: a regulator of inflammation. Best Pract Res Clin Endocrinol Metab 2005, 19(4):547-566.
47. Sáinz N., Barrenetxe J., Moreno-Aliaga M.J., Martínez J.A. Leptin resistance and diet-induced obesity: central and peripheral actions of leptin. Metabolism 2015, 64(1):35-46.
48. Sandell L.J. Obesity and osteoarthritis: is leptin the link?. Arthritis Rheum 2009, 60(10):2858-2860.
49. Richette P., François M., Vicaut E., Fitting C., Bardin T., Corvol M., et al. A high interleukin 1 receptor antagonist/IL-1beta ratio occurs naturally in knee osteoarthritis. J Rheumatol 2008, 35(8):1650-1654.
50. Stannus O.P., Jones G., Blizzard L., Cicuttini F.M., Ding C. Associations between serum levels of inflammatory markers and change in knee pain over 5 years in older adults: a prospective cohort study. Ann Rheum Dis 2013, 72(4):535-540.
51. Honsawek S., Yuktanandana P., Tanavalee A., Chirathaworn C., Anomasiri W., Udomsinprasert W., et al. Plasma and synovial fluid connective tissue growth factor levels are correlated with disease severity in patients with knee osteoarthritis. Biomarkers 2012, 17(4):303-308.
52. Denoble A.E., Huffman K.M., Stabler T.V., Kelly S.J., Hershfield M.S., McDaniel G.E., et al. Uric acid is a danger signal of increasing risk for osteoarthritis through inflammasome activation. Proc Natl Acad Sci U.S.A 2011, 108(5):2088-2093.
53. de Seny D., Cobraiville G., Charlier E., Neuville S., Esser N., Malaise D., et al. Acute-phase serum amyloid a in osteoarthritis: regulatory mechanism and proinflammatory properties. PLoS One 2013, 8(6):e66769.
54. Ritter S.Y., Subbaiah R., Bebek G., Crish J., Scanzello C.R., Krastins B., et al. Proteomic analysis of synovial fluid from the osteoarthritic knee: comparison with transcriptome analyses of joint tissues. Arthritis Rheum 2013, 65(4):981-992.
55. Kyostio-Moore S., Nambiar B., Hutto E., Ewing P.J., Piraino S., Berthelette P., et al. STR/ort mice, a model for spontaneous osteoarthritis, exhibit elevated levels of both local and systemic inflammatory markers. Comp Med 2011, 61(4):346-355.
56. Colitti M., Gaspardo B., Della P.A., Scaini C., Stefanon B. Transcriptome modification of white blood cells after dietary administration of curcumin and non-steroidal anti-inflammatory drug in osteoarthritic affected dogs. Vet Immunol Immunopathol 2012, 147(3-4):136-146.
57. Hirohata S., Yanagida T., Tomita T., Yoshikawa H. Enhanced expression of mRNA for interleukin 6 and tumor necrosis factor-alpha in CD34+ cells of the bone marrow in osteoarthritis. Arthritis Rheum 2011, 63(10 Suppl):S694. [abstract #1771].
58. Reginster J.Y., Beaudart C., Neuprez A., Bruyere O. Strontium ranelate in the treatment of knee osteoarthritis: new insights and emerging clinical evidence. Ther Adv Musculoskelet Dis 2013, 5(5):268-276.
59. Narendra V., Lytkin N.I., Aliferis C.F., Statnikov A. A comprehensive assessment of methods for de-novo reverse-engineering of genome-scale regulatory networks. Genomics 2011, 97(1):7-18.
60. Alekseyenko A.V., Lytkin N.I., Ai J., Ding B., Padyukov L., Aliferis C.F., et al. Causal graph-based analysis of genome-wide association data in rheumatoid arthritis. Biol Direct 2011, 6(1):25.
61. Statnikov A., Henaff M., Lytkin N.I., Aliferis C.F. New methods for separating causes from effects in genomics data. BMC Genomics 2012, 13(Suppl 8):S22.