Lessons from the proteomic study of osteoarthritis

Expert Review of Proteomics

Volumn 12, Issue 4, 2015, Pages 433-443

  Ruiz Romero, Cristina ^a,b   Fernández Puente, Patricia ^a,c   Calamia, Valentina ^a,c   Blanco, Francisco J ^a,c  

^a UNIVERSITY OF A CORUÑA   (Spain)

^b INSTITUTO DE SALUD CARLOS III   (Spain)

^c Medical Oncology Unit CHUAC SERGAS   (Spain)

Author keywords

biomarkers; cartilage; chondrocytes; joint; osteoarthritis; proteomics; synoviocytes; synovium

Indexed keywords

ACTIVIN A; AUTOANTIBODY; BIOLOGICAL MARKER; CARPROFEN; CHONDROITIN; CHONDROITIN SULFATE; GLUCOSAMINE; INTERLEUKIN 1BETA; MATRIX METALLOPROTEINASE; TUMOR NECROSIS FACTOR ALPHA;

ARTICULAR CARTILAGE; CARTILAGE CELL; CARTILAGE DEGENERATION; CHONDROPROTECTION; EARLY DIAGNOSIS; FEMUR CONDYLE; HUMAN; NONHUMAN; OSTEOARTHRITIS; PATHOGENESIS; PROGNOSIS; PROTEIN ANALYSIS; PROTEOMICS; REVIEW; SYNOVIOCYTE; SYNOVIUM; METABOLISM; PATHOPHYSIOLOGY;

BIOMARKERS; HUMANS; OSTEOARTHRITIS; PROGNOSIS; PROTEOMICS;

EID: 84937212608     PISSN: 14789450     EISSN: 17448387     Source Type: Journal    
DOI: 10.1586/14789450.2015.1065182     Document Type: Review

References (75)

1. Wieland HA, Michaelis M, Kirschbaum BJ, Rudolphi KA. Osteoarthritis-an untreatable disease? Nat Rev Drug Discov 2005;4(4):331-44
2. Wojdasiewicz P, Poniatowski LA, Szukiewicz D. The role of inflammatory and anti-inflammatory cytokines in the pathogenesis of osteoarthritis. Mediators Inflamm 2014;2014:561459
3. Wang X, Hunter D, Xu J, Ding C. Metabolic triggered inflammation in osteoarthritis. Osteoarthritis Cartilage 2015; 23(1):22-30
4. Blanco FJ, Rego I, Ruiz-Romero C. The role of mitochondria in osteoarthritis. Nat Rev Rheumatol 2011;7(3):161-9
5. Ruiz-Romero C, Calamia V, Mateos J, et al. Mitochondrial dysregulation of osteoarthritic human articular chondrocytes analyzed by proteomics: A decrease in mitochondrial superoxide dismutase points to a redox imbalance. Mol Cell Proteomics 2009;8(1):172-89
6. Ruiz-Romero C, Carreira V, Rego I, et al. Proteomic analysis of human osteoarthritic chondrocytes reveals protein changes in stress and glycolysis. Proteomics 2008;8(3): 495-507
7. Fernandez-Costa C, Calamia V, Fernandez-Puente P, et al. Sequential depletion of human serum for the search of osteoarthritis biomarkers. Proteome Sci 2012;10(1):55
8. Fernandez-Puente P, Mateos J, Fernandez-Costa C, et al. Identification of a panel of novel serum osteoarthritis biomarkers. J Proteome Res 2011;10(11): 5095-101
9. Wu J, Liu W, Bemis A, et al. Comparative proteomic characterization of articular cartilage tissue from normal donors and patients with osteoarthritis. Arthritis Rheum 2007;56(11):3675-84
10. de Seny D, Fillet M, Ribbens C, et al. Monomeric Calgranulins Measured by SELDI-TOF Mass Spectrometry and Calprotectin Measured by ELISA as Biomarkers in Arthritis. Clin Chem 2008; 54(6):1066-75
11. de Seny D, Sharif M, Fillet M, et al. Discovery and biochemical characterisation of four novel biomarkers for osteoarthritis. Ann Rheum Di 2011;70(6):1144-52
12. Hueber W, Kidd BA, Tomooka BH, et al. Antigen microarray profiling of autoantibodies in rheumatoid arthritis. Arthritis Rheum 2005;52(9):2645-55
13. Chang X, Cui Y, Zong M, et al. Identification of proteins with increased expression in rheumatoid arthritis synovial tissues. J Rheumatol 2009;36(5):872-80
14. Tilleman K, Van Beneden K, Dhondt A, et al. Chronically inflamed synovium from spondyloarthropathy and rheumatoid arthritis investigated by protein expression profiling followed by tandem mass spectrometry. Proteomics 2005;5(8): 2247-57
15. Kriegsmann M, Seeley EH, Schwarting A, et al. MALDI MS imaging as a powerful tool for investigating synovial tissue. Scand J Rheumatol 2012;41(4):305-9
16. Vincourt JB, Lionneton F, Kratassiouk G, et al. Establishment of a reliable method for direct proteome characterization of human articular cartilage. Mol Cell Proteomics 2006;5(10):1984-95
17. Belluoccio D, Wilson R, Thornton DJ, et al. Proteomic analysis of mouse growth plate cartilage. Proteomics 2006;6(24): 6549-53
18. Pecora F, Forlino A, Gualeni B, et al. A quantitative and qualitative method for direct 2-DE analysis of murine cartilage. Proteomics 2007;7(21):4003-7
19. Garcia BA, Platt MD, Born TL, et al. Protein profile of osteoarthritic human articular cartilage using tandem mass spectrometry. Rapid Commun Mass Spectrom 2006;20(20):2999-3006
20. Guo D, Tan W, Wang F, et al. Proteomic analysis of human articular cartilage: identification of differentially expressed proteins in knee osteoarthritis. Joint Bone Spine 2008;75(4):439-44
21. Wilson R, Belluoccio D, Little CB, et al. Proteomic characterization of mouse cartilage degradation in vitro. Arthritis Rheum 2008;58(10):3120-31
22. Wilson R, Diseberg AF, Gordon L, et al. Comprehensive profiling of cartilage extracellular matrix formation and maturation using sequential extraction and label-free quantitative proteomics. Mol Cell Proteomics 2010;9(6):1296-313
23. Onnerfjord P, Khabut A, Reinholt FP, et al. Quantitative proteomic analysis of eight cartilaginous tissues reveals characteristic differences as well as similarities between subgroups. J Biol Chem 2012;287(23): 18913-24
24. Muller C, Khabut A, Dudhia J, et al. Quantitative proteomics at different depths in human articular cartilage reveals unique patterns of protein distribution. Matrix Bio 2014;40:34-45
25. Goldring MB. Human chondrocyte cultures as models of cartilage-specific gene regulation. Methods Mol Med 2005;107: 69-95
26. Dasuri K, Antonovici M, Chen K, et al. The synovial proteome: Analysis of fibroblast-like synoviocytes. Arthritis Res Ther 2004;6(2):R161-8
27. Ruiz-Romero C, Lopez-Armada MJ, Blanco FJ. Proteomic characterization of human normal articular chondrocytes: A novel tool for the study of osteoarthritis and other rheumatic diseases. Proteomics 2005;5(12):3048-59
28. Bo GP, Zhou LN, He WF, et al. Analyses of differential proteome of human synovial fibroblasts obtained from arthritis. Clin Rheumatol 2009;28(2):191-9
29. Zhang H, Fan LY, Zong M, et al. Proteins related to the functions of fibroblast-like synoviocytes identified by proteomic analysis. In: Clin Exp Rheumat 2012;30(2): 213-21
30. Lambrecht S, Verbruggen G, Verdonk PC, et al. Differential proteome analysis of normal and osteoarthritic chondrocytes reveals distortion of vimentin network in osteoarthritis. Osteoarthritis Cartilage 2008; 16(2):163-73
31. Cillero-Pastor B, Ruiz-Romero C, Carames B, et al. Proteomic analysis by two-dimensional electrophoresis to identify the normal human chondrocyte proteome stimulated by tumor necrosis factor alpha and interleukin-1beta. Arthritis Rheum 2010;62(3):802-14
32. Yu CJ, Ko CJ, Hsieh CH, et al. Proteomic analysis of osteoarthritic chondrocyte reveals the hyaluronic acid-regulated proteins involved in chondroprotective effect under oxidative stress. J Proteomics 2014;99:40-53
33. Iliopoulos D, Malizos KN, Oikonomou P, Tsezou A. Integrative microRNA and proteomic approaches identify novel osteoarthritis genes and their collaborative metabolic and inflammatory networks. PLoS One 2008;3(11):e3740
34. Calamia V, Rocha B, Mateos J, et al. Metabolic labeling of chondrocytes for the quantitative analysis of the interleukin-1-beta-mediated modulation of their intracellular and extracellular proteomes. J Proteome Res 2011;10(8):3701-11
35. Hermansson M, Sawaji Y, Bolton M, et al. Proteomic analysis of articular cartilage shows increased type II collagen synthesis in osteoarthritis and expression of inhibin betaA (activin A), a regulatory molecule for chondrocytes. J Biol Chem 2004;279(42): 43514-21
36. De Ceuninck F, Marcheteau E, Berger S, et al. Assessment of some tools for the characterization of the human osteoarthritic cartilage proteome. J Biomol Tech 2005; 16(3):256-65
37. Lourido L, Calamia V, Mateos J, et al. Quantitative proteomic profiling of human articular cartilage degradation in osteoarthritis. J Proteome Res 2014;13(12): 6096-106
38. Rosenthal AK, Gohr CM, Ninomiya J, Wakim BT. Proteomic analysis of articular cartilage vesicles from normal and osteoarthritic cartilage. Arthritis Rheum 2011;63(2):401-11
39. Stenberg J, Ruetschi U, Skioldebrand E, et al. Quantitative proteomics reveals regulatory differences in the chondrocyte secretome from human medial and lateral femoral condyles in osteoarthritic patients. Proteome Sci 2013;11(1):43
40. De Ceuninck F, Dassencourt L, Anract P. The inflammatory side of human chondrocytes unveiled by antibody microarrays. Biochem Biophys Res Commun 2004;323(3):960-9
41. Catterall JB, Rowan AD, Sarsfield S, et al. Development of a novel 2D proteomics approach for the identification of proteins secreted by primary chondrocytes after stimulation by IL-1 and oncostatin M. Rheumatology (Oxford) 2006;45(9):1101-9
42. Peffers MJ, Beynon RJ, Clegg PD. Absolute quantification of selected proteins in the human osteoarthritic secretome. Int J Mol Sci 2013;14(10):20658-81
43. Riffault M, Moulin D, Grossin L, et al. Label-free relative quantification applied to LC-MALDI acquisition for rapid analysis of chondrocyte secretion modulation. J Proteomics 2015;114:263-73
44. Zhen EY, Brittain IJ, Laska DA, et al. Characterization of metalloprotease cleavage products of human articular cartilage. Arthritis Rheum 2008;58(8):2420-31
45. Ruiz-Romero C, Blanco FJ. Proteomics role in the search for improved diagnosis, prognosis and treatment of osteoarthritis. Osteoarthritis Cartilage 2010;18(4):500-9
46. de Seny D, Fillet M, Meuwis MA, et al. Discovery of new rheumatoid arthritis biomarkers using the surface-enhanced laser desorption/ionization time-of-flight mass spectrometry ProteinChip approach. Arthritis Rheum 2005;52(12):3801-12
47. Takinami Y, Yoshimatsu S, Uchiumi T, et al. Identification of potential prognostic markers for knee osteoarthritis by serum proteomic analysis. Biomark Insights 2013;8:85-95
48. Henjes F, Lourido L, Ruiz-Romero C, et al. Analysis of Autoantibody Profiles in Osteoarthritis Using Comprehensive Protein Array Concepts. J Proteome Res 2014; 13(11):5218-29
49. Mateos J, Lourido L, Fernández-Puente P, et al. Differential protein profiling of synovial fluid from rheumatoid arthritis and osteoarthritis patients using LC-MALDI TOF/TOF. J Proteomics 2012;75(10): 2869-78
50. Kamphorst J, van der Heijden R, DeGroot J, et al. Profiling of endogenous peptides in human synovial fluid by NanoLC-MS: method validation and peptide identification. J Proteome Res 2007; 6(11):4388-96
51. Gobezie R, Kho A, Krastins B, et al. High abundance synovial fluid proteome: distinct profiles in health and osteoarthritis. Arthritis Res Ther 2007;9(2):R36
52. Balakrishnan L, Bhattacharjee M, Ahmad S, et al. Differential proteomic analysis of synovial fluid from rheumatoid arthritis and osteoarthritis patients. Clin Proteomics 2014;11(1):1
53. Han MY, Dai JJ, Zhang Y, et al. Identification of osteoarthritis biomarkers by proteomic analysis of synovial fluid. J Int Med Res 2012;40(6):2243-50
54. Uchida T, Fukawa A, Uchida M, et al. Application of a novel protein biochip technology for detection and identification of rheumatoid arthritis biomarkers in synovial fluid. J Proteome Res 2002;1(6): 495-9
55. Pan X, Huang L, Chen J, et al. Analysis of synovial fluid in knee joint of osteoarthritis: 5 proteome patterns of joint inflammation based on matrix-assisted laser desorption/ ionization time-of-flight mass spectrometry. Int Orthop 2012;36(1):57-64
56. Ritter SY, Subbaiah R, Bebek G, et al. Proteomic analysis of synovial fluid from the osteoarthritic knee: comparison with transcriptome analyses of joint tissues. Arthritis Rheum 2013;65(4):981-92
57. Cretu D, Prassas I, Saraon P, et al. Identification of psoriatic arthritis mediators in synovial fluid by quantitative mass spectrometry. Clin Proteomics 2014; 11(1):27
58. Nemirovskiy OV, Dufield DR, Sunyer T, et al. Discovery and development of a type II collagen neoepitope (TIINE) biomarker for matrix metalloproteinase activity: from in vitro to in vivo. Anal Biochem 2007; 361(1):93-101
59. Li WW, Nemirovskiy O, Fountain S, et al. Clinical validation of an immunoaffinity LC-MS/MS assay for the quantification of a collagen type II neoepitope peptide: A biomarker of matrix metalloproteinase activity and osteoarthritis in human urine. Anal Biochem 2007;369(1):41-53
60. Dufield DR, Nemirovskiy OV, Jennings MG, et al. An immunoaffinity liquid chromatography-tandem mass spectrometry assay for detection of endogenous aggrecan fragments in biological fluids: Use as a biomarker for aggrecanase activity and cartilage degradation. Anal Biochem 2010;406(2):113-23
61. Calamia V, Ruiz-Romero C, Rocha B, et al. Pharmacoproteomic study of the effects of chondroitin and glucosamine sulfate on human articular chondrocytes. Arthritis Res Ther 2010;12(4):R138
62. Calamia V, Fernandez-Puente P, Mateos J, et al. Pharmacoproteomic study of three different chondroitin sulfate compounds on intracellular and extracellular human chondrocyte proteomes. Mol Cell Proteomics 2012;11(6):M111 013417
63. Calamia V, Lourido L, Fernández-Puente P, et al. Secretome analysis of chondroitin sulfate-treated chondrocytes reveals anti-angiogenic, anti-inflammatory and anti-catabolic properties. Arthritis Res Ther 2012;14(5):R202
64. Calamia V, Mateos J, Fernandez-Puente P, et al. A pharmacoproteomic study confirms the synergistic effect of chondroitin sulfate and glucosamine. Scientific Reports 2014;4:5069
65. Williams A, Smith JR, Allaway D, et al. Carprofen inhibits the release of matrix metalloproteinases 1, 3, and 13 in the secretome of an explant model of articular cartilage stimulated with interleukin 1beta. Arthritis Res Ther 2013;15(6):R223
66. Legrain P, Aebersold R, Archakov A, et al. The human proteome project: current state and future direction. Mol Cell Proteomics 2011;10(7):M111 009993
67. Ruiz-Romero C, Calamia V, Albar JP, et al. The Spanish biology/disease initiative within the human proteome project: Application to rheumatic diseases. J Proteomics 2015. [Epub ahead of print]
68. Gillet LC, Navarro P, Tate S, et al. Targeted data extraction of the MS/MS spectra generated by data-independent acquisition: A new concept for consistent and accurate proteome analysis. Mol Cell Proteomics 2012;11(6):O111 016717
69. Gallien S, Kim SY, Domon B. Large-Scale Targeted Proteomics Using Internal Standard Triggered-Parallel Reaction Monitoring. Mol Cell Proteomics 2015; 14(6):1630-44
70. Law KP, Lim YP. Recent advances in mass spectrometry: data independent analysis and hyper reaction monitoring. Expert Rev Proteomics 2013;10(6):551-66
71. Rost HL, Rosenberger G, Navarro P, et al. OpenSWATH enables automated, targeted analysis of data-independent acquisition MS data. Nat Biotechnol 2014;32(3):219-23
72. Ritter SY, Collins J, Krastins B, et al. Mass spectrometry assays of plasma biomarkers to predict radiographic progression of knee osteoarthritis. Arthritis Res Ther 2014; 16(5):456
73. Ruiz-Romero C, Lopez-Armada MJ, Blanco FJ. Mitochondrial proteomic characterization of human normal articular chondrocytes. Osteoarthritis Cartilage 2006; 14(6):507-18
74. Sinz A, Bantscheff M, Mikkat S, et al. Mass spectrometric proteome analyses of synovial fluids and plasmas from patients suffering from rheumatoid arthritis and comparison to reactive arthritis or osteoarthritis. Electrophoresis 2002;23(19):3445-56
75. Drynda S, Ringel B, Kekow M, et al. Proteome analysis reveals disease-associated marker proteins to differentiate RA patients from other inflammatory joint diseases with the potential to monitor anti-TNFalpha therapy. Pathol Res Pract 2004;200(2): 165-71