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Home / Equine Research Bank / J Proteome Res / Ex Vivo Equine Cartilage Explant Osteoarthritis Model: A Met...
Journal of proteome research2020; 19(9); 3652-3667; doi: 10.1021/acs.jproteome.0c00143

Ex Vivo Equine Cartilage Explant Osteoarthritis Model: A Metabolomics and Proteomics Study.

Abstract: Osteoarthritis is an age-related degenerative musculoskeletal disease characterized by loss of articular cartilage, synovitis, and subchondral bone sclerosis. Osteoarthritis pathogenesis is yet to be fully elucidated with no osteoarthritis-specific biomarkers in clinical use. equine cartilage explants ( = 5) were incubated in tumor necrosis factor-α (TNF-α)/interleukin-1β (IL-1β)-supplemented culture media for 8 days, with the media removed and replaced at 2, 5, and 8 days. Acetonitrile metabolite extractions of 8 day cartilage explants and media samples at all time points underwent one-dimensional (1D) H nuclear magnetic resonance metabolomic analysis, with media samples also undergoing mass spectrometry proteomic analysis. Within the cartilage, glucose and lysine were elevated following TNF-α/IL-1β treatment, while adenosine, alanine, betaine, creatine, myo-inositol, and uridine decreased. Within the culture media, 4, 4, and 6 differentially abundant metabolites and 154, 138, and 72 differentially abundant proteins were identified at 1-2, 3-5, and 6-8 days, respectively, including reduced alanine and increased isoleucine, enolase 1, vimentin, and lamin A/C following treatment. Nine potential novel osteoarthritis neopeptides were elevated in the treated media. Implicated pathways were dominated by those involved in cellular movement. Our innovative study has provided insightful information on early osteoarthritis pathogenesis, enabling potential translation for clinical markers and possible new therapeutic targets.
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Publication Date: 2020-08-06 PubMed ID: 32701294PubMed Central: PMC7476031DOI: 10.1021/acs.jproteome.0c00143Google Scholar: Lookup
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  • Journal Article
  • Research Support
  • Non-U.S. Gov't

Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

This study explores the cause of osteoarthritis, a degenerative disease that results in joint damage, by using an ex vivo equine cartilage explant and examining the metabolic and proteomic changes that occur when treated with specific inflammatory proteins. The analysis identifies several changes that could potentially be used as therapeutic targets and biomarkers for osteoarthritis.

Research Context

  • Osteoarthritis (OA) is a degenerative musculoskeletal disorder typically associated with aging. It involves the loss of cartilage that cushions joints, inflammation of the synovium or joint lining, and hardening of the subchondral bone beneath the cartilage.
  • Despite the impact of OA on the quality of life for many aging individuals, our understanding of its underlying mechanisms is still incomplete. This has resulted in a lack of biomarkers specifically associated with OA that could be used in clinical settings, thereby hindering early diagnosis and effective treatment.

Research Method

  • In an attempt to better understand OA and identify potential biomarkers, the researchers utilized ex vivo equine cartilage explants. This means that they used horse cartilage tissue which was studied outside of the living organism in a controlled environment.
  • This tissue was incubated in a media containing two pro-inflammatory proteins, tumor necrosis factor-alpha (TNF-α) and interleukin-1 beta (IL-1β), thought to be involved in OA.
  • The researchers then examined the metabolites (small molecules involved in metabolic processes) in the cartilage tissue and in the media in which it was cultured. Changes in these metabolites could indicate metabolic processes influencing the development of OA.
  • Protein analysis was also performed on the media samples to track any changes in protein abundance that could be linked to OA pathogenesis.

Research Findings

  • The metabolite analysis revealed changes in the levels of several substances within the cartilage tissue following the treatment with TNF-α/IL-1β. Some, such as glucose and lysine, were increased, while others, such as adenosine, alanine, and uridine, were decreased.
  • In the media, observations of differing levels of metabolites and proteins over three different time intervals indicated metabolic and protein-based changes could be occurring in response to the treatment. This included a decrease in alanine and an increase in isoleucine, enolase 1, vimentin, and lamin A/C.
  • The authors also identified nine potential osteoarthritis-related neopeptides (small protein-like molecules) increased in the treated media.
  • Much of the changes identified suggest involvement of cellular movement-related pathways in OA progression.

Research Implications

  • Overall, this research has added valuable insights into the early developments of OA at the molecular level. It presents a potential translation of these findings into clinical markers for early detection and therapeutic targets.
  • The findings also suggest new directions for future research, including looking into the potential of the identified metabolites, proteins and neopeptides as biomarkers or therapeutic targets, and further probing the role of cellular movement in OA progression.

Cite This Article

APA
Anderson JR, Phelan MM, Foddy L, Clegg PD, Peffers MJ. (2020). Ex Vivo Equine Cartilage Explant Osteoarthritis Model: A Metabolomics and Proteomics Study. J Proteome Res, 19(9), 3652-3667. https://doi.org/10.1021/acs.jproteome.0c00143

Publication

Journal of proteome research
ISSN: 1535-3907
NlmUniqueID: 101128775
Country: United States
Language: English
Volume: 19
Issue: 9
Pages: 3652-3667

Researcher Affiliations

Anderson, James R
  • Musculoskeletal and Ageing Science, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool L7 8TX, U.K.
Phelan, Marie M
  • NMR Metabolomics Facility, Technology Directorate & Department of Biochemistry & Systems Biology, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 7ZB, U.K.
Foddy, Laura
  • School of Veterinary Science, Institute of Infection, Veterinary & Ecological Sciences, University of Liverpool, Liverpool L69 3GH, U.K.
Clegg, Peter D
  • Musculoskeletal and Ageing Science, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool L7 8TX, U.K.
Peffers, Mandy J
  • Musculoskeletal and Ageing Science, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool L7 8TX, U.K.

MeSH Terms

  • Animals
  • Cartilage, Articular
  • Horses
  • Interleukin-1beta
  • Metabolomics
  • Osteoarthritis
  • Proteomics
  • Tumor Necrosis Factor-alpha

Grant Funding

  • MR/P020941/1 / Medical Research Council
  • MR/M009114/1 / Medical Research Council
  • Versus Arthritis
  • 107471/Z/15/Z / Wellcome Trust
  • MR/R502182/1 / Medical Research Council

Conflict of Interest Statement

The authors declare no competing financial interest.

References

This article includes 115 references
  1. Truong LH, Kuliwaba JS, Tsangari H, Fazzalari NL. Differential gene expression of bone anabolic factors and trabecular bone architectural changes in the proximal femoral shaft of primary hip osteoarthritis patients.. Arthritis Res Ther 2006;8(6):R188.
    doi: 10.1186/ar2101pmc: PMC1794534pubmed: 17187661google scholar: lookup
  2. Kramer CM, Tsang AS, Koenig T, Jeffcott LB, Dart CM, Dart AJ. Survey of the therapeutic approach and efficacy of pentosan polysulfate for the prevention and treatment of equine osteoarthritis in veterinary practice in Australia.. Aust Vet J 2014 Dec;92(12):482-7.
    doi: 10.1111/avj.12266pubmed: 25424761google scholar: lookup
  3. Ireland JL, Clegg PD, McGowan CM, Platt L, Pinchbeck GL. Factors associated with mortality of geriatric horses in the United Kingdom.. Prev Vet Med 2011 Sep 1;101(3-4):204-18.
    doi: 10.1016/j.prevetmed.2011.06.002pubmed: 21733586google scholar: lookup
  4. Ireland JL, Clegg PD, McGowan CM, McKane SA, Chandler KJ, Pinchbeck GL. Disease prevalence in geriatric horses in the United Kingdom: veterinary clinical assessment of 200 cases.. Equine Vet J 2012 Jan;44(1):101-6.
    doi: 10.1111/j.2042-3306.2010.00361.xpubmed: 21668494google scholar: lookup
  5. Caron J, Genovese R. Principles and Practices of Joint Disease Treatment. In Diagnosis and Management of Lameness in the Horse; Ross M.; Dyson S., Eds.; W.B. Saunders: Philadelphia, 2003; pp 746–764.
  6. Struglics A, Larsson S, Pratta MA, Kumar S, Lark MW, Lohmander LS. Human osteoarthritis synovial fluid and joint cartilage contain both aggrecanase- and matrix metalloproteinase-generated aggrecan fragments.. Osteoarthritis Cartilage 2006 Feb;14(2):101-13.
    doi: 10.1016/j.joca.2005.07.018pubmed: 16188468google scholar: lookup
  7. Li Y, Xu L, Olsen BR. Lessons from genetic forms of osteoarthritis for the pathogenesis of the disease.. Osteoarthritis Cartilage 2007 Oct;15(10):1101-5.
    doi: 10.1016/j.joca.2007.04.013pmc: PMC2062521pubmed: 17572112google scholar: lookup
  8. Marhardt K, Muurahainen N. Development of a Disease-Modifying OA Drug (DMOAD) in Knee Osteoarthritis: The Example of Sprifermin.. Drug Res (Stuttg) 2015 Nov;65 Suppl 1:S13.
    doi: 10.1055/s-0035-1558063pubmed: 26536178google scholar: lookup
  9. Anderson JR, Phelan MM, Clegg PD, Peffers MJ, Rubio-Martinez LM. Synovial Fluid Metabolites Differentiate between Septic and Nonseptic Joint Pathologies.. J Proteome Res 2018 Aug 3;17(8):2735-2743.
    doi: 10.1021/acs.jproteome.8b00190pmc: PMC6092013pubmed: 29969035google scholar: lookup
  10. Brommer H, van Weeren PR, Brama PA. New approach for quantitative assessment of articular cartilage degeneration in horses with osteoarthritis.. Am J Vet Res 2003 Jan;64(1):83-7.
    doi: 10.2460/ajvr.2003.64.83pubmed: 12518883google scholar: lookup
  11. Hunter DJ, Nevitt M, Losina E, Kraus V. Biomarkers for osteoarthritis: current position and steps towards further validation.. Best Pract Res Clin Rheumatol 2014 Feb;28(1):61-71.
    doi: 10.1016/j.berh.2014.01.007pmc: PMC4010869pubmed: 24792945google scholar: lookup
  12. McIlwraith CW, Kawcak CE, Frisbie DD, Little CB, Clegg PD, Peffers MJ, Karsdal MA, Ekman S, Laverty S, Slayden RA, Sandell LJ, Lohmander LS, Kraus VB. Biomarkers for equine joint injury and osteoarthritis.. J Orthop Res 2018 Mar;36(3):823-831.
    doi: 10.1002/jor.23738pubmed: 28921609google scholar: lookup
  13. Wojdasiewicz P, Poniatowski ŁA, Szukiewicz D. The role of inflammatory and anti-inflammatory cytokines in the pathogenesis of osteoarthritis.. Mediators Inflamm 2014;2014:561459.
    doi: 10.1155/2014/561459pmc: PMC4021678pubmed: 24876674google scholar: lookup
  14. Wang J, Markova D, Anderson DG, Zheng Z, Shapiro IM, Risbud MV. TNF-α and IL-1β promote a disintegrin-like and metalloprotease with thrombospondin type I motif-5-mediated aggrecan degradation through syndecan-4 in intervertebral disc.. J Biol Chem 2011 Nov 18;286(46):39738-49.
    doi: 10.1074/jbc.M111.264549pmc: PMC3220535pubmed: 21949132google scholar: lookup
  15. Fernandes JC, Martel-Pelletier J, Pelletier JP. The role of cytokines in osteoarthritis pathophysiology.. Biorheology 2002;39(1-2):237-46.
    pubmed: 12082286
  16. Goldring SR, Goldring MB. The role of cytokines in cartilage matrix degeneration in osteoarthritis.. Clin Orthop Relat Res 2004 Oct;(427 Suppl):S27-36.
    doi: 10.1097/01.blo.0000144854.66565.8fpubmed: 15480070google scholar: lookup
  17. Westacott CI, Whicher JT, Barnes IC, Thompson D, Swan AJ, Dieppe PA. Synovial fluid concentration of five different cytokines in rheumatic diseases.. Ann Rheum Dis 1990 Sep;49(9):676-81.
    doi: 10.1136/ard.49.9.676pmc: PMC1004202pubmed: 1700673google scholar: lookup
  18. Bertuglia A, Pagliara E, Grego E, Ricci A, Brkljaca-Bottegaro N. Pro-inflammatory cytokines and structural biomarkers are effective to categorize osteoarthritis phenotype and progression in Standardbred racehorses over five years of racing career.. BMC Vet Res 2016 Nov 8;12(1):246.
    doi: 10.1186/s12917-016-0873-7pmc: PMC5100096pubmed: 27821120google scholar: lookup
  19. Ma TW, Li Y, Wang GY, Li XR, Jiang RL, Song XP, Zhang ZH, Bai H, Li X, Gao L. Changes in Synovial Fluid Biomarkers after Experimental Equine Osteoarthritis.. J Vet Res 2017 Dec;61(4):503-508.
    doi: 10.1515/jvetres-2017-0056pmc: PMC5937351pubmed: 29978116google scholar: lookup
  20. Williams A. Proteomic Studies of an Explant Model of Equine Articular Cartilage in Response to Proinflammatory and Anti-Inflammatory Stimuli. Ph.D. Thesis, University of Nottingham, 2014.
  21. Stevens AL, Wishnok JS, Chai DH, Grodzinsky AJ, Tannenbaum SR. A sodium dodecyl sulfate-polyacrylamide gel electrophoresis-liquid chromatography tandem mass spectrometry analysis of bovine cartilage tissue response to mechanical compression injury and the inflammatory cytokines tumor necrosis factor alpha and interleukin-1beta.. Arthritis Rheum 2008 Feb;58(2):489-500.
    doi: 10.1002/art.23120pubmed: 18240213google scholar: lookup
  22. Stevens AL, Wishnok JS, White FM, Grodzinsky AJ, Tannenbaum SR. Mechanical injury and cytokines cause loss of cartilage integrity and upregulate proteins associated with catabolism, immunity, inflammation, and repair.. Mol Cell Proteomics 2009 Jul;8(7):1475-89.
    doi: 10.1074/mcp.M800181-MCP200pmc: PMC2709180pubmed: 19196708google scholar: lookup
  23. Pretzel D, Pohlers D, Weinert S, Kinne RW. In vitro model for the analysis of synovial fibroblast-mediated degradation of intact cartilage.. Arthritis Res Ther 2009;11(1):R25.
    doi: 10.1186/ar2618pmc: PMC2688258pubmed: 19226472google scholar: lookup
  24. De Ceuninck F, Dassencourt L, Anract P. The inflammatory side of human chondrocytes unveiled by antibody microarrays.. Biochem Biophys Res Commun 2004 Oct 22;323(3):960-9.
    doi: 10.1016/j.bbrc.2004.08.184pubmed: 15381094google scholar: lookup
  25. Cillero-Pastor B, Ruiz-Romero C, Caramés B, López-Armada MJ, Blanco FJ. 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 Mar;62(3):802-14.
    doi: 10.1002/art.27265pubmed: 20131227google scholar: lookup
  26. Barksby HE, Milner JM, Patterson AM, Peake NJ, Hui W, Robson T, Lakey R, Middleton J, Cawston TE, Richards CD, Rowan AD. Matrix metalloproteinase 10 promotion of collagenolysis via procollagenase activation: implications for cartilage degradation in arthritis.. Arthritis Rheum 2006 Oct;54(10):3244-53.
    doi: 10.1002/art.22167pubmed: 17009259google scholar: lookup
  27. Fellows C, Quasnichka H, Chowdhury N R, Budd E, Skene D J, Mobasheri A, Overmyer K A, Muir P, Coon J J, Cheleschi S. Metabolomics and Metabolic Function Analysis of the Secretome of Articular Cartilage and Isolated Chondrocytes in Response to Pro-Inflammatory Cytokines. Osteoarthritis Cartilage 2018, 26, S172.
    doi: 10.1016/j.joca.2018.02.373google scholar: lookup
  28. Jeremiasse B, Matta C, Fellows CR, Boocock DJ, Smith JR, Liddell S, Lafeber F, van Spil WE, Mobasheri A. Alterations in the chondrocyte surfaceome in response to pro-inflammatory cytokines.. BMC Mol Cell Biol 2020 Jun 26;21(1):47.
    doi: 10.1186/s12860-020-00288-9pmc: PMC7318434pubmed: 32586320google scholar: lookup
  29. de Hoog CL, Mann M. Proteomics.. Annu Rev Genomics Hum Genet 2004;5:267-93.
    doi: 10.1146/annurev.genom.4.070802.110305pubmed: 15485350google scholar: lookup
  30. Peffers MJ, Thornton DJ, Clegg PD. Characterization of neopeptides in equine articular cartilage degradation.. J Orthop Res 2016 Jan;34(1):106-20.
    doi: 10.1002/jor.22963pmc: PMC4737130pubmed: 26124002google scholar: lookup
  31. Polur I, Lee PL, Servais JM, Xu L, Li Y. Role of HTRA1, a serine protease, in the progression of articular cartilage degeneration.. Histol Histopathol 2010 May;25(5):599-608.
    doi: 10.14670/HH-25.599pmc: PMC2894561pubmed: 20238298google scholar: lookup
  32. Ben-Aderet L, Merquiol E, Fahham D, Kumar A, Reich E, Ben-Nun Y, Kandel L, Haze A, Liebergall M, Kosińska MK, Steinmeyer J, Turk B, Blum G, Dvir-Ginzberg M. Detecting cathepsin activity in human osteoarthritis via activity-based probes.. Arthritis Res Ther 2015 Mar 20;17(1):69.
    doi: 10.1186/s13075-015-0586-5pmc: PMC4415352pubmed: 25889265google scholar: lookup
  33. Peffers MJ, Smagul A, Anderson JR. Proteomic analysis of synovial fluid: current and potential uses to improve clinical outcomes.. Expert Rev Proteomics 2019 Apr;16(4):287-302.
    doi: 10.1080/14789450.2019.1578214pubmed: 30793992google scholar: lookup
  34. Miller RE, Ishihara S, Tran PB, Golub SB, Last K, Miller RJ, Fosang AJ, Malfait AM. An aggrecan fragment drives osteoarthritis pain through Toll-like receptor 2.. JCI Insight 2018 Mar 22;3(6).
    doi: 10.1172/jci.insight.95704pmc: PMC5926921pubmed: 29563338google scholar: lookup
  35. Peffers MJ, Cillero-Pastor B, Eijkel GB, Clegg PD, Heeren RM. Matrix assisted laser desorption ionization mass spectrometry imaging identifies markers of ageing and osteoarthritic cartilage.. Arthritis Res Ther 2014 May 9;16(3):R110.
    doi: 10.1186/ar4560pmc: PMC4095688pubmed: 24886698google scholar: lookup
  36. Peffers MJ, McDermott B, Clegg PD, Riggs CM. Comprehensive protein profiling of synovial fluid in osteoarthritis following protein equalization.. Osteoarthritis Cartilage 2015 Jul;23(7):1204-13.
    doi: 10.1016/j.joca.2015.03.019pmc: PMC4528073pubmed: 25819577google scholar: lookup
  37. Skiöldebrand E, Ekman S, Mattsson Hultén L, Svala E, Björkman K, Lindahl A, Lundqvist A, Önnerfjord P, Sihlbom C, Rüetschi U. Cartilage oligomeric matrix protein neoepitope in the synovial fluid of horses with acute lameness: A new biomarker for the early stages of osteoarthritis.. Equine Vet J 2017 Sep;49(5):662-667.
    doi: 10.1111/evj.12666pmc: PMC5573946pubmed: 28097685google scholar: lookup
  38. Peffers M, Jones AR, McCabe A, Anderson J. Neopeptide Analyser: A software tool for neopeptide discovery in proteomics data.. Wellcome Open Res 2017 Apr 7;2:24.
    doi: 10.12688/wellcomeopenres.11275.1pmc: PMC5428739pubmed: 28503667google scholar: lookup
  39. Beckonert O, Keun HC, Ebbels TM, Bundy J, Holmes E, Lindon JC, Nicholson JK. Metabolic profiling, metabolomic and metabonomic procedures for NMR spectroscopy of urine, plasma, serum and tissue extracts.. Nat Protoc 2007;2(11):2692-703.
    doi: 10.1038/nprot.2007.376pubmed: 18007604google scholar: lookup
  40. Beltran A, Suarez M, Rodríguez MA, Vinaixa M, Samino S, Arola L, Correig X, Yanes O. Assessment of compatibility between extraction methods for NMR- and LC/MS-based metabolomics.. Anal Chem 2012 Jul 17;84(14):5838-44.
    doi: 10.1021/ac3005567pubmed: 22697410google scholar: lookup
  41. Damyanovich AZ, Staples JR, Chan AD, Marshall KW. Comparative study of normal and osteoarthritic canine synovial fluid using 500 MHz 1H magnetic resonance spectroscopy.. J Orthop Res 1999 Mar;17(2):223-31.
    doi: 10.1002/jor.1100170211pubmed: 10221839google scholar: lookup
  42. Hügle T, Kovacs H, Heijnen IA, Daikeler T, Baisch U, Hicks JM, Valderrabano V. Synovial fluid metabolomics in different forms of arthritis assessed by nuclear magnetic resonance spectroscopy.. Clin Exp Rheumatol 2012 Mar-Apr;30(2):240-5.
    pubmed: 22410098
  43. Lacitignola L, Fanizzi FP, Francioso E, Crovace A. 1H NMR investigation of normal and osteo-arthritic synovial fluid in the horse.. Vet Comp Orthop Traumatol 2008;21(1):85-8.
    doi: 10.3415/VCOT-06-12-0101pubmed: 18288348google scholar: lookup
  44. Mickiewicz B, Heard BJ, Chau JK, Chung M, Hart DA, Shrive NG, Frank CB, Vogel HJ. Metabolic profiling of synovial fluid in a unilateral ovine model of anterior cruciate ligament reconstruction of the knee suggests biomarkers for early osteoarthritis.. J Orthop Res 2015 Jan;33(1):71-7.
    doi: 10.1002/jor.22743pubmed: 25283885google scholar: lookup
  45. Mickiewicz B, Kelly JJ, Ludwig TE, Weljie AM, Wiley JP, Schmidt TA, Vogel HJ. Metabolic analysis of knee synovial fluid as a potential diagnostic approach for osteoarthritis.. J Orthop Res 2015 Nov;33(11):1631-8.
    doi: 10.1002/jor.22949pubmed: 26010167google scholar: lookup
  46. Anderson JR, Chokesuwattanaskul S, Phelan MM, Welting TJM, Lian LY, Peffers MJ, Wright HL. (1)H NMR Metabolomics Identifies Underlying Inflammatory Pathology in Osteoarthritis and Rheumatoid Arthritis Synovial Joints.. J Proteome Res 2018 Nov 2;17(11):3780-3790.
    doi: 10.1021/acs.jproteome.8b00455pmc: PMC6220363pubmed: 30229649google scholar: lookup
  47. Graham RJTY, Anderson JR, Phelan MM, Cillan-Garcia E, Bladon BM, Taylor SE. Metabolomic analysis of synovial fluid from Thoroughbred racehorses diagnosed with palmar osteochondral disease using magnetic resonance imaging.. Equine Vet J 2020 May;52(3):384-390.
    doi: 10.1111/evj.13199pubmed: 31657070google scholar: lookup
  48. Ling W, Regatte RR, Schweitzer ME, Jerschow A. Characterization of bovine patellar cartilage by NMR.. NMR Biomed 2008 Mar;21(3):289-95.
    doi: 10.1002/nbm.1193pubmed: 17659534google scholar: lookup
  49. Schiller J, Huster D, Fuchs B, Naji L, Kaufmann J, Arnold K. Evaluation of cartilage composition and degradation by high-resolution magic-angle spinning nuclear magnetic resonance.. Methods Mol Med 2004;101:267-85.
    pubmed: 15299220doi: 10.1385/1-59259-821-8:267google scholar: lookup
  50. Schiller J, Naji L, Huster D, Kaufmann J, Arnold K. 1H and 13C HR-MAS NMR investigations on native and enzymatically digested bovine nasal cartilage.. MAGMA 2001 Aug;13(1):19-27.
    doi: 10.1007/BF02668647pubmed: 11410393google scholar: lookup
  51. Borel M, Pastoureau P, Papon J, Madelmont JC, Moins N, Maublant J, Miot-Noirault E. Longitudinal profiling of articular cartilage degradation in osteoarthritis by high-resolution magic angle spinning 1H NMR spectroscopy: experimental study in the meniscectomized guinea pig model.. J Proteome Res 2009 May;8(5):2594-600.
    doi: 10.1021/pr8009963pubmed: 19323466google scholar: lookup
  52. Shet K, Siddiqui SM, Yoshihara H, Kurhanewicz J, Ries M, Li X. High-resolution magic angle spinning NMR spectroscopy of human osteoarthritic cartilage.. NMR Biomed 2012 Apr;25(4):538-44.
    doi: 10.1002/nbm.1769pmc: PMC3299852pubmed: 21850648google scholar: lookup
  53. McIlwraith CW, Frisbie DD, Kawcak CE, Fuller CJ, Hurtig M, Cruz A. The OARSI histopathology initiative - recommendations for histological assessments of osteoarthritis in the horse.. Osteoarthritis Cartilage 2010 Oct;18 Suppl 3:S93-105.
    doi: 10.1016/j.joca.2010.05.031pubmed: 20864027google scholar: lookup
  54. Sumner LW, Amberg A, Barrett D, Beale MH, Beger R, Daykin CA, Fan TW, Fiehn O, Goodacre R, Griffin JL, Hankemeier T, Hardy N, Harnly J, Higashi R, Kopka J, Lane AN, Lindon JC, Marriott P, Nicholls AW, Reily MD, Thaden JJ, Viant MR. Proposed minimum reporting standards for chemical analysis Chemical Analysis Working Group (CAWG) Metabolomics Standards Initiative (MSI).. Metabolomics 2007 Sep;3(3):211-221.
    doi: 10.1007/s11306-007-0082-2pmc: PMC3772505pubmed: 24039616google scholar: lookup
  55. Haug K, Cochrane K, Nainala VC, Williams M, Chang J, Jayaseelan KV, O'Donovan C. MetaboLights: a resource evolving in response to the needs of its scientific community.. Nucleic Acids Res 2020 Jan 8;48(D1):D440-D444.
    doi: 10.1093/nar/gkz1019pmc: PMC7145518pubmed: 31691833google scholar: lookup
  56. Perez-Riverol Y, Csordas A, Bai J, Bernal-Llinares M, Hewapathirana S, Kundu DJ, Inuganti A, Griss J, Mayer G, Eisenacher M, Pérez E, Uszkoreit J, Pfeuffer J, Sachsenberg T, Yilmaz S, Tiwary S, Cox J, Audain E, Walzer M, Jarnuczak AF, Ternent T, Brazma A, Vizcaíno JA. The PRIDE database and related tools and resources in 2019: improving support for quantification data.. Nucleic Acids Res 2019 Jan 8;47(D1):D442-D450.
    doi: 10.1093/nar/gky1106pmc: PMC6323896pubmed: 30395289google scholar: lookup
  57. Dieterle F, Ross A, Schlotterbeck G, Senn H. Probabilistic quotient normalization as robust method to account for dilution of complex biological mixtures. Application in 1H NMR metabonomics.. Anal Chem 2006 Jul 1;78(13):4281-90.
    doi: 10.1021/ac051632cpubmed: 16808434google scholar: lookup
  58. Worley B, Powers R. Multivariate Analysis in Metabolomics.. Curr Metabolomics 2013;1(1):92-107.
    doi: 10.2174/2213235X11301010092pmc: PMC4465187pubmed: 26078916google scholar: lookup
  59. 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, 289–300.
    doi: 10.1111/j.2517-6161.1995.tb02031.xgoogle scholar: lookup
  60. Salek RM, Steinbeck C, Viant MR, Goodacre R, Dunn WB. The role of reporting standards for metabolite annotation and identification in metabolomic studies.. Gigascience 2013 Oct 16;2(1):13.
    doi: 10.1186/2047-217X-2-13pmc: PMC3853013pubmed: 24131531google scholar: lookup
  61. Considine EC, Salek RM. A Tool to Encourage Minimum Reporting Guideline Uptake for Data Analysis in Metabolomics.. Metabolites 2019 Mar 5;9(3).
    doi: 10.3390/metabo9030043pmc: PMC6468746pubmed: 30841575google scholar: lookup
  62. Mackay AR, Ballin M, Pelina MD, Farina AR, Nason AM, Hartzler JL, Thorgeirsson UP. Effect of phorbol ester and cytokines on matrix metalloproteinase and tissue inhibitor of metalloproteinase expression in tumor and normal cell lines.. Invasion Metastasis 1992;12(3-4):168-84.
    pubmed: 1284126
  63. Brama PA, van den Boom R, DeGroott J, Kiers GH, van Weeren PR. Collagenase-1 (MMP-1) activity in equine synovial fluid: influence of age, joint pathology, exercise and repeated arthrocentesis.. Equine Vet J 2004 Jan;36(1):34-40.
    doi: 10.2746/0425164044864705pubmed: 14756369google scholar: lookup
  64. van den Boom R, van der Harst MR, Brommer H, Brama PA, Barneveld A, van Weeren PR, DeGroot J. Relationship between synovial fluid levels of glycosaminoglycans, hydroxyproline and general MMP activity and the presence and severity of articular cartilage change on the proximal articular surface of P1.. Equine Vet J 2005 Jan;37(1):19-25.
    doi: 10.2746/0425164054406919pubmed: 15651729google scholar: lookup
  65. Tseng S, Reddi AH, Di Cesare PE. Cartilage Oligomeric Matrix Protein (COMP): A Biomarker of Arthritis.. Biomark Insights 2009 Feb 17;4:33-44.
    doi: 10.4137/BMI.S645pmc: PMC2716683pubmed: 19652761google scholar: lookup
  66. Svala E, Löfgren M, Sihlbom C, Rüetschi U, Lindahl A, Ekman S, Skiöldebrand E. An inflammatory equine model demonstrates dynamic changes of immune response and cartilage matrix molecule degradation in vitro.. Connect Tissue Res 2015;56(4):315-25.
    doi: 10.3109/03008207.2015.1027340pubmed: 25803623google scholar: lookup
  67. Balakrishnan L, Nirujogi RS, Ahmad S, Bhattacharjee M, Manda SS, Renuse S, Kelkar DS, Subbannayya Y, Raju R, Goel R, Thomas JK, Kaur N, Dhillon M, Tankala SG, Jois R, Vasdev V, Ramachandra Y, Sahasrabuddhe NA, Prasad TsK, Mohan S, Gowda H, Shankar S, Pandey A. Proteomic analysis of human osteoarthritis synovial fluid.. Clin Proteomics 2014 Feb 17;11(1):6.
    doi: 10.1186/1559-0275-11-6pmc: PMC3942106pubmed: 24533825google scholar: lookup
  68. Taylor SE, Weaver MP, Pitsillides AA, Wheeler BT, Wheeler-Jones CP, Shaw DJ, Smith RK. Cartilage oligomeric matrix protein and hyaluronan levels in synovial fluid from horses with osteoarthritis of the tarsometatarsal joint compared to a control population.. Equine Vet J 2006 Nov;38(6):502-7.
    doi: 10.2746/042516406X156073pubmed: 17124839google scholar: lookup
  69. Stashak T S, Theoret C. Equine Wound Management. John Wiley & Sons, 2011.
  70. Peffers M J. Proteomic and Transcriptomic Signatures of Cartilage Ageing and Disease. Ph.D. Thesis, University of Liverpool, 2013.
  71. Lust G, Burton-Wurster N, Leipold H. Fibronectin as a marker for osteoarthritis.. J Rheumatol 1987 May;14 Spec No:28-9.
    pubmed: 3625673
  72. Murray RC, Janicke HC, Henson FM, Goodship A. Equine carpal articular cartilage fibronectin distribution associated with training, joint location and cartilage deterioration.. Equine Vet J 2000 Jan;32(1):47-51.
    doi: 10.2746/042516400777611982pubmed: 10661385google scholar: lookup
  73. Burridge K, Wennerberg K. Rho and Rac take center stage.. Cell 2004 Jan 23;116(2):167-79.
    doi: 10.1016/s0092-8674(04)00003-0pubmed: 14744429google scholar: lookup
  74. Woods A, Wang G, Beier F. RhoA/ROCK signaling regulates Sox9 expression and actin organization during chondrogenesis.. J Biol Chem 2005 Mar 25;280(12):11626-34.
    doi: 10.1074/jbc.M409158200pubmed: 15665004google scholar: lookup
  75. Wang G, Woods A, Sabari S, Pagnotta L, Stanton LA, Beier F. RhoA/ROCK signaling suppresses hypertrophic chondrocyte differentiation.. J Biol Chem 2004 Mar 26;279(13):13205-14.
    doi: 10.1074/jbc.M311427200pubmed: 14726536google scholar: lookup
  76. Wang K, Kwan E, Aris K, Egelhoff T, Caplan A, Welter J, Baskaran H. The Effect of RhoA/ROCK Signaling Inhibition on the Development of HMSC-Based Chondrogenic Tissue. Osteoarthritis Cartilage 2017, 25, S77.
    doi: 10.1016/j.joca.2017.02.768google scholar: lookup
  77. Deng Z, Jia Y, Liu H, He M, Yang Y, Xiao W, Li Y. RhoA/ROCK pathway: implication in osteoarthritis and therapeutic targets.. Am J Transl Res 2019;11(9):5324-5331.
    pmc: PMC6789288pubmed: 31632513
  78. Shikhman AR, Brinson DC, Valbracht J, Lotz MK. Cytokine regulation of facilitated glucose transport in human articular chondrocytes.. J Immunol 2001 Dec 15;167(12):7001-8.
    doi: 10.4049/jimmunol.167.12.7001pubmed: 11739520google scholar: lookup
  79. Hernvann A, Jaffray P, Hilliquin P, Cazalet C, Menkes CJ, Ekindjian OG. Interleukin-1 beta-mediated glucose uptake by chondrocytes. Inhibition by cortisol.. Osteoarthritis Cartilage 1996 Jun;4(2):139-42.
    doi: 10.1016/S1063-4584(05)80322-Xpubmed: 8806115google scholar: lookup
  80. Lee JY, Kang MJ, Choi JY, Park JS, Park JK, Lee EY, Lee EB, Pap T, Yi EC, Song YW. Apolipoprotein B binds to enolase-1 and aggravates inflammation in rheumatoid arthritis.. Ann Rheum Dis 2018 Oct;77(10):1480-1489.
    doi: 10.1136/annrheumdis-2018-213444pubmed: 29997113google scholar: lookup
  81. Sánchez-Enríquez S, Torres-Carrillo NM, Vázquez-Del Mercado M, Salgado-Goytia L, Rangel-Villalobos H, Muñoz-Valle JF. Increase levels of apo-A1 and apo B are associated in knee osteoarthritis: lack of association with VEGF-460 T/C and +405 C/G polymorphisms.. Rheumatol Int 2008 Nov;29(1):63-8.
    doi: 10.1007/s00296-008-0633-5pubmed: 18597093google scholar: lookup
  82. Lamers RJ, DeGroot J, Spies-Faber EJ, Jellema RH, Kraus VB, Verzijl N, TeKoppele JM, Spijksma GK, Vogels JT, van der Greef J, van Nesselrooij JH. Identification of disease- and nutrient-related metabolic fingerprints in osteoarthritic Guinea pigs.. J Nutr 2003 Jun;133(6):1776-80.
    doi: 10.1093/jn/133.6.1776pubmed: 12771316google scholar: lookup
  83. Strzelecka-Kiliszek A, Mebarek S, Roszkowska M, Buchet R, Magne D, Pikula S. Functions of Rho family of small GTPases and Rho-associated coiled-coil kinases in bone cells during differentiation and mineralization.. Biochim Biophys Acta Gen Subj 2017 May;1861(5 Pt A):1009-1023.
    doi: 10.1016/j.bbagen.2017.02.005pubmed: 28188861google scholar: lookup
  84. Catalano M, O'Driscoll L. Inhibiting extracellular vesicles formation and release: a review of EV inhibitors.. J Extracell Vesicles 2020;9(1):1703244.
    doi: 10.1080/20013078.2019.1703244pmc: PMC6968539pubmed: 32002167google scholar: lookup
  85. Li Z, Wang Y, Xiao K, Xiang S, Li Z, Weng X. Emerging Role of Exosomes in the Joint Diseases.. Cell Physiol Biochem 2018;47(5):2008-2017.
    doi: 10.1159/000491469pubmed: 29969758google scholar: lookup
  86. Withrow J, Murphy C, Liu Y, Hunter M, Fulzele S, Hamrick MW. Extracellular vesicles in the pathogenesis of rheumatoid arthritis and osteoarthritis.. Arthritis Res Ther 2016 Dec 1;18(1):286.
    doi: 10.1186/s13075-016-1178-8pmc: PMC5134070pubmed: 27906035google scholar: lookup
  87. Zhang W, Sun G, Likhodii S, Liu M, Aref-Eshghi E, Harper PE, Martin G, Furey A, Green R, Randell E, Rahman P, Zhai G. Metabolomic analysis of human plasma reveals that arginine is depleted in knee osteoarthritis patients.. Osteoarthritis Cartilage 2016 May;24(5):827-34.
    doi: 10.1016/j.joca.2015.12.004pubmed: 26708258google scholar: lookup
  88. Hu T, Oksanen K, Zhang W, Randell E, Furey A, Sun G, Zhai G. An evolutionary learning and network approach to identifying key metabolites for osteoarthritis.. PLoS Comput Biol 2018 Mar;14(3):e1005986.
    doi: 10.1371/journal.pcbi.1005986pmc: PMC5849325pubmed: 29494586google scholar: lookup
  89. Abramson SB. Osteoarthritis and nitric oxide.. Osteoarthritis Cartilage 2008;16 Suppl 2:S15-20.
    doi: 10.1016/S1063-4584(08)60008-4pubmed: 18794013google scholar: lookup
  90. Loeser RF, Carlson CS, Del Carlo M, Cole A. Detection of nitrotyrosine in aging and osteoarthritic cartilage: Correlation of oxidative damage with the presence of interleukin-1beta and with chondrocyte resistance to insulin-like growth factor 1.. Arthritis Rheum 2002 Sep;46(9):2349-57.
    doi: 10.1002/art.10496pubmed: 12355482google scholar: lookup
  91. Ivaska J, Pallari HM, Nevo J, Eriksson JE. Novel functions of vimentin in cell adhesion, migration, and signaling.. Exp Cell Res 2007 Jun 10;313(10):2050-62.
    doi: 10.1016/j.yexcr.2007.03.040pubmed: 17512929google scholar: lookup
  92. Langelier E, Suetterlin R, Hoemann CD, Aebi U, Buschmann MD. The chondrocyte cytoskeleton in mature articular cartilage: structure and distribution of actin, tubulin, and vimentin filaments.. J Histochem Cytochem 2000 Oct;48(10):1307-20.
    doi: 10.1177/002215540004801002pubmed: 10990485google scholar: lookup
  93. Lambrecht S, Verbruggen G, Verdonk PC, Elewaut D, Deforce D. Differential proteome analysis of normal and osteoarthritic chondrocytes reveals distortion of vimentin network in osteoarthritis.. Osteoarthritis Cartilage 2008 Feb;16(2):163-73.
    doi: 10.1016/j.joca.2007.06.005pubmed: 17643325google scholar: lookup
  94. Zhai G, Wang-Sattler R, Hart DJ, Arden NK, Hakim AJ, Illig T, Spector TD. Serum branched-chain amino acid to histidine ratio: a novel metabolomic biomarker of knee osteoarthritis.. Ann Rheum Dis 2010 Jun;69(6):1227-31.
    doi: 10.1136/ard.2009.120857pubmed: 20388742google scholar: lookup
  95. Phang JM, Liu W, Hancock CN, Fischer JW. Proline metabolism and cancer: emerging links to glutamine and collagen.. Curr Opin Clin Nutr Metab Care 2015 Jan;18(1):71-7.
    doi: 10.1097/MCO.0000000000000121pmc: PMC4255759pubmed: 25474014google scholar: lookup
  96. Milner JM, Elliott SF, Cawston TE. Activation of procollagenases is a key control point in cartilage collagen degradation: interaction of serine and metalloproteinase pathways.. Arthritis Rheum 2001 Sep;44(9):2084-96.
    doi: 10.1002/1529-0131(200109)44:9<2084::AID-ART359>3.0.CO;2-Rpubmed: 11592371google scholar: lookup
  97. Milner JM, Rowan AD, Cawston TE, Young DA. Metalloproteinase and inhibitor expression profiling of resorbing cartilage reveals pro-collagenase activation as a critical step for collagenolysis.. Arthritis Res Ther 2006;8(5):R142.
    doi: 10.1186/ar2034pmc: PMC1779431pubmed: 16919164google scholar: lookup
  98. Gupta S, Biswas A, Akhter MS, Krettler C, Reinhart C, Dodt J, Reuter A, Philippou H, Ivaskevicius V, Oldenburg J. Revisiting the mechanism of coagulation factor XIII activation and regulation from a structure/functional perspective.. Sci Rep 2016 Jul 25;6:30105.
    doi: 10.1038/srep30105pmc: PMC4958977pubmed: 27453290google scholar: lookup
  99. Johnson K, Hashimoto S, Lotz M, Pritzker K, Terkeltaub R. Interleukin-1 induces pro-mineralizing activity of cartilage tissue transglutaminase and factor XIIIa.. Am J Pathol 2001 Jul;159(1):149-63.
    doi: 10.1016/S0002-9440(10)61682-3pmc: PMC1850418pubmed: 11438463google scholar: lookup
  100. Sanchez C, Deberg MA, Bellahcène A, Castronovo V, Msika P, Delcour JP, Crielaard JM, Henrotin YE. Phenotypic characterization of osteoblasts from the sclerotic zones of osteoarthritic subchondral bone.. Arthritis Rheum 2008 Feb;58(2):442-55.
    doi: 10.1002/art.23159pubmed: 18240211google scholar: lookup
  101. Day JS, Van Der Linden JC, Bank RA, Ding M, Hvid I, Sumner DR, Weinans H. Adaptation of subchondral bone in osteoarthritis.. Biorheology 2004;41(3-4):359-68.
    pubmed: 15299268
  102. Nurminskaya M, Magee C, Nurminsky D, Linsenmayer TF. Plasma transglutaminase in hypertrophic chondrocytes: expression and cell-specific intracellular activation produce cell death and externalization.. J Cell Biol 1998 Aug 24;142(4):1135-44.
    doi: 10.1083/jcb.142.4.1135pmc: PMC2132883pubmed: 9722623google scholar: lookup
  103. Rosenthal AK, Masuda I, Gohr CM, Derfus BA, Le M. The transglutaminase, Factor XIIIA, is present in articular chondrocytes.. Osteoarthritis Cartilage 2001 Aug;9(6):578-81.
    doi: 10.1053/joca.2000.0423pubmed: 11520172google scholar: lookup
  104. Roughley PJ, White RJ, Cs-Szabó G, Mort JS. Changes with age in the structure of fibromodulin in human articular cartilage.. Osteoarthritis Cartilage 1996 Sep;4(3):153-61.
    doi: 10.1016/S1063-4584(96)80011-2pubmed: 8895216google scholar: lookup
  105. Wadhwa S, Embree MC, Kilts T, Young MF, Ameye LG. Accelerated osteoarthritis in the temporomandibular joint of biglycan/fibromodulin double-deficient mice.. Osteoarthritis Cartilage 2005 Sep;13(9):817-27.
    doi: 10.1016/j.joca.2005.04.016pubmed: 16006154google scholar: lookup
  106. Ameye L, Aria D, Jepsen K, Oldberg A, Xu T, Young MF. Abnormal collagen fibrils in tendons of biglycan/fibromodulin-deficient mice lead to gait impairment, ectopic ossification, and osteoarthritis.. FASEB J 2002 May;16(7):673-80.
    doi: 10.1096/fj.01-0848compubmed: 11978731google scholar: lookup
  107. Swift J, Discher DE. The nuclear lamina is mechano-responsive to ECM elasticity in mature tissue.. J Cell Sci 2014 Jul 15;127(Pt 14):3005-15.
    doi: 10.1242/jcs.149203pmc: PMC4095853pubmed: 24963133google scholar: lookup
  108. Attur M, Ben-Artzi A, Yang Q, Al-Mussawir HE, Worman HJ, Palmer G, Abramson SB. Perturbation of nuclear lamin A causes cell death in chondrocytes.. Arthritis Rheum 2012 Jun;64(6):1940-9.
    doi: 10.1002/art.34360pmc: PMC3348367pubmed: 22231515google scholar: lookup
  109. Lopez de Figueroa P, Nogueira-Recalde U, Osorio F, Lotz M, Lopez-Otin C, Blanco F J, Carames B. Deficient Autophagy Induces Lamin a/C Accumulation in Aging and Osteoarthritis. Arthritis Rheumatol. 2017, 69.
  110. Lotz M, Martel-Pelletier J, Christiansen C, Brandi ML, Bruyère O, Chapurlat R, Collette J, Cooper C, Giacovelli G, Kanis JA, Karsdal MA, Kraus V, Lems WF, Meulenbelt I, Pelletier JP, Raynauld JP, Reiter-Niesert S, Rizzoli R, Sandell LJ, Van Spil WE, Reginster JY. Value of biomarkers in osteoarthritis: current status and perspectives.. Ann Rheum Dis 2013 Nov;72(11):1756-63.
    doi: 10.1136/annrheumdis-2013-203726pmc: PMC3812859pubmed: 23897772google scholar: lookup
  111. Simó R, Barbosa-Desongles A, Lecube A, Hernandez C, Selva DM. Potential role of tumor necrosis factor-α in downregulating sex hormone-binding globulin.. Diabetes 2012 Feb;61(2):372-82.
    doi: 10.2337/db11-0727pmc: PMC3266423pubmed: 22210320google scholar: lookup
  112. Hazuda DJ, Lee JC, Young PR. The kinetics of interleukin 1 secretion from activated monocytes. Differences between interleukin 1 alpha and interleukin 1 beta.. J Biol Chem 1988 Jun 15;263(17):8473-9.
    pubmed: 3259579
  113. Marshall DD, Powers R. Beyond the paradigm: Combining mass spectrometry and nuclear magnetic resonance for metabolomics.. Prog Nucl Magn Reson Spectrosc 2017 May;100:1-16.
    doi: 10.1016/j.pnmrs.2017.01.001pmc: PMC5448308pubmed: 28552170google scholar: lookup
  114. Parker CE, Borchers CH. Mass spectrometry based biomarker discovery, verification, and validation--quality assurance and control of protein biomarker assays.. Mol Oncol 2014 Jun;8(4):840-58.
    doi: 10.1016/j.molonc.2014.03.006pmc: PMC5528535pubmed: 24713096google scholar: lookup
  115. Caterson B, Baker JR, Christner JE, Lee Y, Lentz M. Monoclonal antibodies as probes for determining the microheterogeneity of the link proteins of cartilage proteoglycan.. J Biol Chem 1985 Sep 15;260(20):11348-56.
    pubmed: 2411733

Citations

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  1. Rydén M, Önnerfjord P. In Vitro Models and Proteomics in Osteoarthritis Research. Adv Exp Med Biol 2023;1402:57-68.
    doi: 10.1007/978-3-031-25588-5_4pubmed: 37052846google scholar: lookup
  2. Plaas AHK, Moran MM, Sandy JD, Hascall VC. Aggrecan and Hyaluronan: The Infamous Cartilage Polyelectrolytes - Then and Now. Adv Exp Med Biol 2023;1402:3-29.
    doi: 10.1007/978-3-031-25588-5_1pubmed: 37052843google scholar: lookup
  3. Zhu S, Liu H, Davis T, Willis CRG, Basu R, Witzigreuter L, Bell S, Szewczyk N, Lotz MK, Hill M, Fajardo RJ, O'Connor PM, Berryman DE, Kopchick JJ. Promotion of Joint Degeneration and Chondrocyte Metabolic Dysfunction by Excessive Growth Hormone in Mice. Arthritis Rheumatol 2023 Jul;75(7):1139-1151.
    doi: 10.1002/art.42470pubmed: 36762426google scholar: lookup
  4. Li H, Liu S, Miao C, Lv Y, Hu Y. Integration of metabolomics and transcriptomics provides insights into enhanced osteogenesis in Ano5(Cys360Tyr) knock-in mouse model. Front Endocrinol (Lausanne) 2023;14:1117111.
    doi: 10.3389/fendo.2023.1117111pubmed: 36742392google scholar: lookup
  5. Dechêne L, Colin M, Demazy C, Fransolet M, Niesten A, Arnould T, Serteyn D, Dieu M, Renard P. Characterization of the Proteins Secreted by Equine Muscle-Derived Mesenchymal Stem Cells Exposed to Cartilage Explants in Osteoarthritis Model. Stem Cell Rev Rep 2023 Feb;19(2):550-567.
    doi: 10.1007/s12015-022-10463-4pubmed: 36271312google scholar: lookup
  6. Rothbauer M, Reihs EI, Fischer A, Windhager R, Jenner F, Toegel S. A Progress Report and Roadmap for Microphysiological Systems and Organ-On-A-Chip Technologies to Be More Predictive Models in Human (Knee) Osteoarthritis. Front Bioeng Biotechnol 2022;10:886360.
    doi: 10.3389/fbioe.2022.886360pubmed: 35782494google scholar: lookup
  7. Clarke EJ, Gillen A, Turlo A, Peffers MJ. An Evaluation of Current Preventative Measures Used in Equine Practice to Maintain Distal Forelimb Functionality: A Mini Review. Front Vet Sci 2021;8:758970.
    doi: 10.3389/fvets.2021.758970pubmed: 34796229google scholar: lookup
  8. Batushansky A, Zhu S, Komaravolu RK, South S, Mehta-D'souza P, Griffin TM. Fundamentals of OA. An initiative of Osteoarthritis and Cartilage. Obesity and metabolic factors in OA. Osteoarthritis Cartilage 2022 Apr;30(4):501-515.
    doi: 10.1016/j.joca.2021.06.013pubmed: 34537381google scholar: lookup
  9. Li JT, Zeng N, Yan ZP, Liao T, Ni GX. A review of applications of metabolomics in osteoarthritis. Clin Rheumatol 2021 Jul;40(7):2569-2579.
    doi: 10.1007/s10067-020-05511-8pubmed: 33219452google scholar: lookup
  10. Xu J, Schwab A, Salzer E, Kops N, Brama PAJ, Farrell E, van Osch GJVM. Studying the formation of the zone of calcified cartilage in bovine cartilage explants ex vivo. Osteoarthr Cartil Open 2026 Mar;8(1):100743.
    doi: 10.1016/j.ocarto.2026.100743pubmed: 41624248google scholar: lookup
  11. Sankaranarayanan J, Kim HK, Kang JY, Kuppa SS, Yang HY, Seon JK. Comparative Efficacy of Exosomes Derived from Different Mesenchymal Stem Cell Sources in Osteoarthritis Models: An In Vitro and Ex Vivo Analysis. Int J Mol Sci 2025 Jun 6;26(12).
    doi: 10.3390/ijms26125447pubmed: 40564912google scholar: lookup
  12. Qiu X, Deng H, Zhou X, Ni G, Huang C, Lin D. Metabolomic Profiling of Osteoblasts in Rat Subchondral Bone Following Anterior Cruciate Ligament Injury. Molecules 2025 May 22;30(11).
    doi: 10.3390/molecules30112255pubmed: 40509144google scholar: lookup
  13. Anderson JR, Phelan MM, Caamaño-Gutiérrez E, Clegg PD, Rubio-Martinez LM, Peffers MJ. Metabolomic and proteomic stratification of equine osteoarthritis. Equine Vet J 2025 Sep;57(5):1204-1218.
    doi: 10.1111/evj.14490pubmed: 39972657google scholar: lookup
  14. Wei Y, Qian H, Zhang X, Wang J, Yan H, Xiao N, Zeng S, Chen B, Yang Q, Lu H, Xie J, Xie Z, Qin D, Li Z. Progress in multi-omics studies of osteoarthritis. Biomark Res 2025 Feb 11;13(1):26.
    doi: 10.1186/s40364-025-00732-ypubmed: 39934890google scholar: lookup
  15. Yu C, Zhao S, Yue S, Chen X, Dong Y. Novel insights into the role of metabolic disorder in osteoarthritis. Front Endocrinol (Lausanne) 2024;15:1488481.
    doi: 10.3389/fendo.2024.1488481pubmed: 39744183google scholar: lookup
  16. Koziy RV, Bracamonte JL, Katselis GS, Udenze D, Hayat S, Hammond SA, Simko E. Putative mRNA Biomarkers for the Eradication of Infection in an Equine Experimental Model of Septic Arthritis. Vet Sci 2024 Jul 2;11(7).
    doi: 10.3390/vetsci11070299pubmed: 39057983google scholar: lookup
  17. Cadelano F, Della Morte E, Niada S, Anzano F, Zagra L, Giannasi C, Brini ATM. Cartilage responses to inflammatory stimuli and adipose stem/stromal cell-derived conditioned medium: Results from an ex vivo model. Regen Ther 2024 Jun;26:346-353.
    doi: 10.1016/j.reth.2024.06.010pubmed: 39036443google scholar: lookup
  18. Svensson E, von Mentzer U, Stubelius A. Achieving Precision Healthcare through Nanomedicine and Enhanced Model Systems. ACS Mater Au 2024 Mar 13;4(2):162-173.
    doi: 10.1021/acsmaterialsau.3c00073pubmed: 38496040google scholar: lookup
  19. Clarke E, Varela L, Jenkins RE, Lozano-Andrés E, Cywińska A, Przewozny M, van Weeren PR, van de Lest CHA, Peffers M, Wauben MHM. Proteome and phospholipidome interrelationship of synovial fluid-derived extracellular vesicles in equine osteoarthritis: An exploratory 'multi-omics' study to identify composite biomarkers. Biochem Biophys Rep 2024 Mar;37:101635.
    doi: 10.1016/j.bbrep.2023.101635pubmed: 38298208google scholar: lookup
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