Clinical Proteomics | |
Identification of psoriatic arthritis mediators in synovial fluid by quantitative mass spectrometry | |
Vinod Chandran3  Eleftherios P Diamandis1  Rajiv Gandhi4  Ihor Batruch2  Punit Saraon2  Ioannis Prassas2  Daniela Cretu2  | |
[1] Department of Clinical Biochemistry, University Health Network, Toronto, Ontario, Canada;Department of Pathology and Laboratory Medicine, Mount Sinai Hospital, Toronto, Ontario, Canada;Division of Rheumatology, Department of Medicine, University of Toronto, Toronto, Ontario, Canada;Division of Orthopaedic Surgery, Department of Surgery, University of Toronto, Toronto, Canada | |
关键词: Mediators; Proteins; Selected reaction monitoring assays; Synovial fluid; Mass spectrometry; Proteomics; Early osteoarthritis; Psoriatic arthritis; | |
Others : 1026212 DOI : 10.1186/1559-0275-11-27 |
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received in 2013-10-23, accepted in 2014-05-01, 发布年份 2014 | |
【 摘 要 】
Background
Synovial fluid (SF) is a dynamic reservoir for proteins originating from the synovial membrane, cartilage, and plasma, and may therefore reflect the pathophysiological conditions that give rise to arthritis. Our goal was to identify and quantify protein mediators of psoriatic arthritis (PsA) in SF.
Methods
Age and gender-matched pooled SF samples from 10 PsA and 10 controls [early osteoarthritis (OA)], were subjected to label-free quantitative proteomics using liquid chromatography coupled to mass spectrometry (LC-MS/MS), to identify differentially expressed proteins based on the ratios of the extracted ion current of each protein between the two groups. Pathway analysis and public database searches were conducted to ensure these proteins held relevance to PsA. Multiplexed selected reaction monitoring (SRM) assays were then utilized to confirm the elevated proteins in the discovery samples and in an independent set of samples from patients with PsA and controls.
Results
We determined that 137 proteins were differentially expressed between PsA and control SF, and 44 were upregulated. The pathways associated with these proteins were acute-phase response signalling, granulocyte adhesion and diapedesis, and production of nitric oxide and reactive oxygen species in macrophages. The expression of 12 proteins was subsequently quantified using SRM assays.
Conclusions
Our in-depth proteomic analysis of the PSA SF proteome identified 12 proteins which were significantly elevated in PsA SF compared to early OA SF. These proteins may be linked to the pathogenesis of PsA, as well serve as putative biomarkers and/or therapeutic targets for this disease.
【 授权许可】
2014 Cretu et al.; licensee BioMed Central Ltd.
【 预 览 】
Files | Size | Format | View |
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20140903111535755.pdf | 711KB | download | |
Figure 3. | 49KB | Image | download |
Figure 2. | 83KB | Image | download |
Figure 1. | 61KB | Image | download |
【 图 表 】
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【 参考文献 】
- [1]Rahimi H, Ritchlin CT: Altered bone biology in psoriatic arthritis. Curr Rheumatol Rep 2012, 14:349-357.
- [2]Gladman DD, Antoni C, Mease P, Clegg DO, Nash P: Psoriatic arthritis: epidemiology, clinical features, course, and outcome. Ann Rheum Dis 2005, 64:14-17.
- [3]Zachariae H: Prevalence of joint disease in patients with psoriasis: implications for therapy. Am J Clin Dermatol 2003, 4:441-447.
- [4]Chandran V: The genetics of psoriasis and psoriatic arthritis. Clin Rev Allergy Immunol 2013, 44:149-156.
- [5]Roberson ED, Bowcock AM: Psoriasis genetics: breaking the barrier. Trends Genet 2010, 26:415-423.
- [6]Mease P: Psoriatic arthritis and spondyloarthritis assessment and management update. Curr Opin Rheumatol 2013, 25:287-296.
- [7]Vasey FB, Deitz C, Fenske NA, Germain BF, Espinoza LR: Possible involvement of group A streptococci in the pathogenesis of psoriatic arthritis. J Rheumatol 1982, 9:719.
- [8]Langevitz P, Buskila D, Gladman DD: Psoriatic arthritis precipitated by physical trauma. J Rheumatol 1990, 17:695-697.
- [9]Chandran V, Bull SB, Pellett FJ, Ayearst R, Rahman P, Gladman DD: Human leukocyte antigen alleles and susceptibility to psoriatic arthritis. Hum Immunol 2013, 74:1333-1338.
- [10]Tilleman K, Van Beneden K, Dhondt A, Hoffman I, De Keyser F, Veys E, Elewaut D, Deforce D: Chronically inflamed synovium from spondyloarthropathy and rheumatoid arthritis investigated by protein expression profiling followed by tandem mass spectrometry. Proteomics 2005, 5:2247-2257.
- [11]Bondarenko PV, Chelius D, Shaler TA: Identification and relative quantitation of protein mixtures by enzymatic digestion followed by capillary reversed-phase liquid chromatography-tandem mass spectrometry. Anal Chem 2002, 74:4741-4749.
- [12]Keshishian H, Addona T, Burgess M, Mani DR, Shi X, Kuhn E, Sabatine MS, Gerszten RE, Carr SA: Quantification of cardiovascular biomarkers in patient plasma by targeted mass spectrometry and stable isotope dilution. Mol Cell Proteomics 2009, 8:2339-2349.
- [13]Ong SE, Mann M: Mass spectrometry-based proteomics turns quantitative. Nat Chem Biol 2005, 1:252-262.
- [14]Cretu D, Diamandis EP, Chandran V: Delineating the synovial fluid proteome: recent advancements and ongoing challenges in biomarker research. Crit Rev Clin Lab Sci 2013, 50:51-63.
- [15]Yates JR, Ruse CI, Nakorchevsky A: Proteomics by mass spectrometry: approaches, advances, and applications. Annu Rev Biomed Eng 2009, 11:49-79.
- [16]Megger DA, Bracht T, Meyer HE, Sitek B: Label-free quantification in clinical proteomics. Biochim Biophys Acta 1834, 2013:1581-1590.
- [17]Kosanam H, Makawita S, Judd B, Newman A, Diamandis EP: Mining the malignant ascites proteome for pancreatic cancer biomarkers. Proteomics 2011, 11:4551-4558.
- [18]Batruch I, Smith CR, Mullen BJ, Grober E, Lo KC, Diamandis EP, Jarvi KA: Analysis of seminal plasma from patients with non-obstructive azoospermia and identification of candidate biomarkers of male infertility. J Proteome Res 2012, 11:1503-1511.
- [19]Hui AY, McCarty WJ, Masuda K, Firestein GS, Sah RL: A systems biology approach to synovial joint lubrication in health, injury, and disease. Wiley Interdiscip Rev Syst Biol Med 2012, 4:15-37.
- [20]Eissa A, Cretu D, Soosaipillai A, Thavaneswaran A, Pellett F, Diamandis A, Cevikbas F, Steinhoff M, Diamandis EP, Gladman D, Chandran V: Serum kallikrein-8 correlates with skin activity, but not psoriatic arthritis, in patients with psoriatic disease. Clin Chem Lab Med 2013, 51:317-325.
- [21]Yamamoto T: Angiogenic and inflammatory properties of psoriatic arthritis. ISRN Dermatol 2013, 2013:630620.
- [22]Ceponis A, Hietanen J, Tamulaitiene M, Partsch G, Pätiälä H, Konttinen YT: A comparative quantitative morphometric study of cell apoptosis in synovial membranes in psoriatic, reactive and rheumatoid arthritis. Rheumatology (Oxford) 1999, 38:431-440.
- [23]Aochi S, Tsuji K, Sakaguchi M, Huh N, Tsuda T, Yamanishi K, Komine M, Iwatsuki K: Markedly elevated serum levels of calcium-binding S100A8/A9 proteins in psoriatic arthritis are due to activated monocytes/macrophages. J Am Acad Dermatol 2011, 64:879-887.
- [24]Mease P: Biologic Agents in Psoriatic Arthritis. In Biologics in General Medicine. Edited by Boehncke WH, Radeke HH. New York: Springer Publishing Group; 2007:97-110.
- [25]Nestle FO, Kaplan DH, Barker J: Psoriasis. N Engl J Med 2009, 361:496-509.
- [26]Reece RJ, Canete JD, Parsons WJ, Emery P, Veale DJ: Distinct vascular patterns of early synovitis in psoriatic, reactive, and rheumatoid arthritis. Arthritis Rheum 1999, 42:1481-1484.
- [27]Ritchlin CT: From skin to bone: translational perspectives on psoriatic disease. J Rheumatol 2008, 35:1434-1437.
- [28]Bokarewa MI, Jin T, Tarkowski A: Intraarticular release and accumulation of defensins and bactericidal/permeability-increasing protein in patients with rheumatoid arthritis. J Rheumatol 2003, 30:1719-1724.
- [29]Harder J, Schröder JM: Psoriatic scales: a promising source for the isolation of human skin-derived antimicrobial proteins. J Leukoc Biol 2005, 77:476-486.
- [30]Paulsen F, Pufe T, Conradi L, Varoga D, Tsokos M, Papendieck J, Petersen W: Antimicrobial peptides are expressed and produced in healthy and inflamed human synovial membranes. J Pathol 2002, 198:369-377.
- [31]Edwards SW, Hughes V, Barlow J, Bucknall R: Immunological detection of myeloperoxidase in synovial fluid from patients with rheumatoid arthritis. Biochem J 1988, 250:81-85.
- [32]Doğan P, Soyuer U, Tanrikulu G: Superoxide dismutase and myeloperoxidase activity in polymorphonuclear leukocytes, and serum ceruloplasmin and copper levels, in psoriasis. Br J Dermatol 1989, 120:239-244.
- [33]Ramos VA, Ramos PA, Dominguez MC: Role of oxidative stress in the maintenance of inflamation in patients with juvenile rheumatoid arthritis. J Pediatr (Rio J) 2000, 76:125-132.
- [34]Bikah G, Lynd FM, Aruffo AA, Ledbetter JA, Bondada S: A role for CD5 in cognate interactions between T cells and B cells, and identification of a novel ligand for CD5. Int Immunol 1998, 10:1185-1196.
- [35]Calvo J, Places L, Padilla O, Vilà JM, Vives J, Bowen MA, Lozano F: Interaction of recombinant and natural soluble CD5 forms with an alternative cell surface ligand. Eur J Immunol 1999, 29:2119-2129.
- [36]Fenutría R, Martinez VG, Gil V, Sintes J, Simôes I, Merino J, Merino R, Ramos-Casals M, Raman C, Engel P, Lozano F: Role of CD5/CD5L interactions in the homeostasis of regulatory lymphocyte subpopulations and the control of autoimmune disorders. J Transl Med 2011, 9:O6.
- [37]de Wit J, Souwer Y, van Beelen AJ, de Groot R, Muller FJ, Klaasse Bos H, Jorritsma T, Kapsenberg ML, de Jong EC, van Ham SM: CD5 costimulation induces stable Th17 development by promoting IL-23R expression and sustained STAT3 activation. Blood 2011, 118:6107-6114.
- [38]Lowes MA, Kikuchi T, Fuentes-Duculan J, Cardinale I, Zaba LC, Haider AS, Bowman EP, Krueger JG: Psoriasis vulgaris lesions contain discrete populations of Th1 and Th17 T cells. J Invest Dermatol 2008, 128:1207-1211.
- [39]Kirkham BW, Kavanaugh A, Reich K: IL-17A: a unique pathway in immune-mediated diseases: psoriasis, psoriatic arthritis, and rheumatoid arthritis. Immunol 2014, 141:133-142.
- [40]Chaohong F, Lidén S: Association Between Orosomucoid (ORM) types and psoriasis. Hum Hered 1994, 44:72-76.
- [41]Mateos J, Lourido L, Fernández-Puente P, Calamia V, Fernández-López C, Oreiro N, Ruiz-Romero C, Blanco FJ: Differential protein profiling of synovial fluid from rheumatoid arthritis and osteoarthritis patients using LC-MALDI TOF/TOF. J Proteomics 2012, 75:2869-2678.
- [42]Chen CP, Hsu CC, Yeh WL, Lin HC, Hsieh SY, Lin SC, Chen TT, Chen MJ, Tang SF: Optimizing human synovial fluid preparation for two-dimensional gel electrophoresis. Proteome Sci 2011, 9:65.
- [43]Taylor W, Gladman D, Helliwell P, Marchesoni A, Mease P, Mielants H: Classification criteria for psoriatic arthritis: development of new criteria from a large international study. Arthritis Rheum 2006, 54:2665-2673.
- [44]Cameron ML, Briggs KK, Steadman JR: Reproducibility and reliability of the outerbridge classification for grading chondral lesions of the knee arthroscopically. Am J Sports Med 2003, 31:83-86.
- [45]Cox J, Mann M: MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification. Nat Biotechnol 2008, 26:1367-1372.
- [46]Cox J, Neuhauser N, Michalski A, Scheltema RA, Olsen JV, Mann M: Andromeda: a peptide search engine integrated into the MaxQuant environment. J Proteome Res 2011, 10:1794-1805.
- [47]Wu C, Orozco C, Boyer J, Leglise M, Goodale J, Batalov S, Hodge CL, Haase J, Janes J, Huss JW 3rd, Su AI: BioGPS: an extensible and customizable portal for querying and organizing gene annotation resources. Genome Biol 2009, 10:R130.
- [48]Berglund L, Björling E, Oksvold P, Fagerberg L, Asplund A, Szigyarto CA, Persson A, Ottosson J, Wernérus H, Nilsson P, Lundberg E, Sivertsson A, Navani S, Wester K, Kampf C, Hober S, Pontén F, Uhlén M: A genecentric human protein atlas for expression profiles based on antibodies. Molec Cell Proteomics 2008, 7:2019-2027.
- [49]Prassas I, Chrystoja CC, Makawita S, Diamandis EP: Bioinformatic identification of proteins with tissue-specific expression for biomarker discovery. BMC Med 2012, 10:39.
- [50]Muthusamy B, Hanumanthu G, Suresh S, Rekha B, Srinivas D, Karthick L, Vrushabendra BM, Sharma S, Mishra G, Chatterjee P, Mangala KS, Shivashankar HN, Chandrika KN, Deshpande N, Suresh M, Kannabiran N, Niranjan V, Nalli A, Prasad TS, Arun KS, Reddy R, Chandran S, Jadhav T, Julie D, Mahesh M, John SL, Palvankar K, Sudhir D, Bala P, Rashmi NS, et al.: Plasma proteome database as a resource for proteomics research. Proteomics 2005, 5:3531-3536.
- [51]Prassas I, Karagiannis GS, Batruch I, Dimitromanolakis A, Datti A, Diamandis EP: Digitoxin-induced cytotoxicity in cancer cells is mediated through distinct kinase and interferon signalling networks. Mol Cancer Ther 2011, 10:2083-2093.
- [52]Martínez-Morillo E, Cho CK, Drabovich AP, Shaw JL, Soosaipillai A, Diamandis EP: Development of a multiplex selected reaction monitoring assay for quantification of biochemical markers of down syndrome in amniotic fluid samples. J Proteome Res 2012, 11:3880-3887.
- [53]Campbell J, Rezai T, Prakash A, Krastins B, Dayon L, Ward M, Robinson S, Lopez M: Evaluation of absolute peptide quantitation strategies using selected reaction monitoring. Proteomics 2011, 11:1148-1152.