FREE SHIPPING over $40
OVER 10000 FIVE-STAR REVIEWS
5% OFF ALL SUBSCRIPTIONS
100% HAPPINESS GUARANTEE
Analyze Diet
0
Biochemistry and biophysics reports2024; 37; 101635; doi: 10.1016/j.bbrep.2023.101635

Proteome and phospholipidome interrelationship of synovial fluid-derived extracellular vesicles in equine osteoarthritis: An exploratory ‘multi-omics’ study to identify composite biomarkers.

Abstract: Osteoarthritis causes progressive joint deterioration, severe morbidity, and reduced mobility in both humans and horses. Currently, osteoarthritis is diagnosed at late stages through clinical examination and radiographic imaging, hence it is challenging to address and provide timely therapeutic interventions to slow disease progression or ameliorate symptoms. Extracellular vesicles are cell-derived vesicles that play a key role in cell-to-cell communication and are potential sources for specific composite biomarker panel discovery. We here used a multi-omics strategy combining proteomics and phospholipidomics in an integral approach to identify composite biomarkers associated to purified extracellular vesicles from synovial fluid of healthy, mildly and severely osteoarthritic equine joints. Although the number of extracellular vesicles was unaffected by osteoarthritis, proteome profiling of extracellular vesicles by mass spectrometry identified 40 differentially expressed proteins (non-adjusted p < 0.05) in osteoarthritic joints associated with 7 significant canonical pathways in osteoarthritis. Moreover, pathway analysis unveiled changes in disease and molecular functions during osteoarthritis development. Phospholipidome profiling by mass spectrometry showed a relative increase in sphingomyelin and a decrease in phosphatidylcholine, phosphatidylinositol, and phosphatidylserine in extracellular vesicles derived from osteoarthritic joints compared to healthy joints. Unsupervised data integration revealed positive correlations between the proteome and the phospholipidome. Comprehensive analysis showed that some phospholipids and their related proteins increased as the severity of osteoarthritis progressed, while others decreased or remained stable. Altogether our data show interrelationships between synovial fluid extracellular vesicle-associated phospholipids and proteins responding to osteoarthritis pathology and which could be explored as potential composite diagnostic biomarkers of disease.
© 2024 The Authors.
Get Full Text
Publication Date: 2024-01-18 PubMed ID: 38298208PubMed Central: PMC10828605DOI: 10.1016/j.bbrep.2023.101635Google Scholar: Lookup
The Equine Research Bank provides access to a large database of publicly available scientific literature. Inclusion in the Research Bank does not imply endorsement of study methods or findings by Mad Barn.
LinkedInCopy
  • Journal Article

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.

The research article discusses a ‘multi-omics’ study aimed at identifying potential composite biomarkers within synovial fluid-derived extracellular vesicles for diagnosing osteoarthritis in horses.

Research Context and Objective

  • Osteoarthritis is a debilitating condition that affects both humans and horses, leading to progressive joint deterioration, severe morbidity, and reduced mobility.
  • Current methods for diagnosing osteoarthritis are only effective during the late stages of the disease, and therefore, timely therapeutic intervention is often challenging.
  • The study aimed to address this issue by exploring cell-derived vesicles, known as extracellular vesicles, as potential sources for identifying specific composite biomarker panels. These vesicles play a significant role in cell-to-cell communication.

Research Approach and Findings

  • A multi-omics strategy was applied that combined proteomics (the study of proteins) and phospholipidomics (the study of phospholipids), enabling the researchers to identify composite biomarkers related to purified extracellular vesicles.
  • The study found that the number of extracellular vesicles was not affected by osteoarthritis. However, there was a change in the proteome profiling of these vesicles, with 40 different proteins being expressed differently in osteoarthritic joints. These changes were associated with seven significant canonical pathways of osteoarthritis.
  • Further analysis revealed changes in disease and molecular functions, indicating variations in the osteoarthritis development process.
  • Phospholipid profiling also showed changes, with a relative increase in sphingomyelin and a decrease in phosphatidylcholine, phosphatidylinositol, and phosphatidylserine in extracellular vesicles derived from osteoarthritic joints, compared to healthy joints.
  • An integration of data showed a positive correlation between the proteome and the phospholipidome. Comprehensive analysis revealed that as the severity of osteoarthritis progressed, some phospholipids and related proteins increased while others decreased or remained stable.

Significance of the Study

  • This research shows the interrelationships that exist between synovial fluid extracellular vesicle-associated proteins and lipids, influenced by osteoarthritis.
  • The results provide a new potential avenue to work on for early diagnosis using composite diagnostic biomarkers of osteoarthritis, potentially leading to timely and effective therapeutic interventions.

Cite This Article

APA
Clarke E, Varela L, Jenkins RE, Lozano-Andrés E, Cywińska A, Przewozny M, van Weeren PR, van de Lest CHA, Peffers M, Wauben MHM. (2024). 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, 37, 101635. https://doi.org/10.1016/j.bbrep.2023.101635

Publication

Biochemistry and biophysics reports
ISSN: 2405-5808
NlmUniqueID: 101660999
Country: Netherlands
Language: English
Volume: 37
Pages: 101635

Researcher Affiliations

Clarke, Emily
  • Department of Musculoskeletal Biology and Ageing Science, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK.
Varela, Laura
  • Division Equine Sciences, Department of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands.
  • Division Cell Biology, Metabolism & Cancer, Department of Biomolecular Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands.
Jenkins, Rosalind E
  • Centre for Drug Safety Science Bioanalytical Facility, Liverpool Shared Research Facilities, Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.
Lozano-Andrés, Estefanía
  • Division Cell Biology, Metabolism & Cancer, Department of Biomolecular Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands.
  • Division of Infectious Diseases & Immunology, Department of Biomolecular Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands.
Cywińska, Anna
  • Faculty of Biological and Veterinary Sciences, Nicolaus Copernicus University in Torun, 87-100 Torun, Poland.
Przewozny, Maciej
  • EQUI VET SERWIS, Wygoda 6, 64-320, Buk, Poland.
van Weeren, P René
  • Division Equine Sciences, Department of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands.
van de Lest, Chris H A
  • Division Equine Sciences, Department of Clinical Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands.
  • Division Cell Biology, Metabolism & Cancer, Department of Biomolecular Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands.
Peffers, Mandy
  • Department of Musculoskeletal Biology and Ageing Science, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK.
Wauben, Marca H M
  • Division Cell Biology, Metabolism & Cancer, Department of Biomolecular Health Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands.

Conflict of Interest Statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

References

This article includes 67 references
  1. Nat Med. 2011 Nov 06;17(12):1674-9
    pubmed: 22057346
  2. Arthritis Res Ther. 2023 Apr 15;25(1):62
    pubmed: 37060003
  3. Bioinformatics. 2016 Sep 15;32(18):2847-9
    pubmed: 27207943
  4. Front Immunol. 2018 Nov 12;9:2575
    pubmed: 30483255
  5. BMC Rheumatol. 2019 Dec 02;3:46
    pubmed: 31819923
  6. Arthritis Rheumatol. 2015 May;67(8):2154-63
    pubmed: 25917196
  7. Osteoarthritis Cartilage. 2020 May;28(5):555-561
    pubmed: 31982565
  8. J Extracell Vesicles. 2021 May;10(7):e12093
    pubmed: 34035881
  9. Nucleic Acids Res. 2019 Jan 8;47(D1):D516-D519
    pubmed: 30395310
  10. J Extracell Vesicles. 2021 Dec;10(14):e12144
    pubmed: 34919343
  11. Front Vet Sci. 2022 Nov 24;9:1057667
    pubmed: 36504839
  12. Front Bioeng Biotechnol. 2020 Aug 13;8:972
    pubmed: 32903631
  13. Arthritis Rheumatol. 2021 Oct;73(10):1866-1877
    pubmed: 33760378
  14. Front Pharmacol. 2021 Dec 02;12:766082
    pubmed: 34925024
  15. BMC Vet Res. 2021 Jan 9;17(1):26
    pubmed: 33422071
  16. Can J Biochem Physiol. 1959 Aug;37(8):911-7
    pubmed: 13671378
  17. Ann Rheum Dis. 2019 Dec;78(12):1632-1641
    pubmed: 31455659
  18. J Neurochem. 2021 Jul;158(1):25-35
    pubmed: 32402091
  19. Proteomics. 2016 Sep;16(18):2448-53
    pubmed: 27461997
  20. Pharmaceuticals (Basel). 2021 Apr 01;14(4):
    pubmed: 33915903
  21. Sci Rep. 2022 Oct 20;12(1):17550
    pubmed: 36266410
  22. Osteoarthritis Cartilage. 2012 Oct;20(10):1147-51
    pubmed: 22781206
  23. Malays Orthop J. 2019 Mar;13(1):1-7
    pubmed: 31001376
  24. J Extracell Vesicles. 2016 Aug 09;5:31751
    pubmed: 27511891
  25. Cell Rep. 2019 Apr 30;27(5):1597-1606.e2
    pubmed: 31042483
  26. FEBS Lett. 2017 Sep;591(18):2720-2729
    pubmed: 28686302
  27. Osteoarthritis Cartilage. 2023 Jul;31(7):919-933
    pubmed: 36893980
  28. Osteoarthritis Cartilage. 2020 Aug;28(8):1092-1101
    pubmed: 32407894
  29. Osteoarthritis Cartilage. 2009 Jul;17(7):832-42
    pubmed: 19217805
  30. Lab Chip. 2019 Mar 27;19(7):1114-1140
    pubmed: 30882822
  31. Nat Methods. 2017 Feb 28;14(3):228-232
    pubmed: 28245209
  32. Biochim Biophys Acta Mol Cell Biol Lipids. 2023 Oct;1868(10):159367
    pubmed: 37473834
  33. Sci Rep. 2020 Dec 10;10(1):21703
    pubmed: 33303908
  34. J Ovarian Res. 2020 Jan 22;13(1):9
    pubmed: 31969186
  35. J Proteome Res. 2020 Sep 4;19(9):3652-3667
    pubmed: 32701294
  36. Nucleic Acids Res. 2021 Jul 2;49(W1):W388-W396
    pubmed: 34019663
  37. Arthritis Res Ther. 2013 Nov 06;15(6):R180
    pubmed: 24286485
  38. PLoS Comput Biol. 2017 Nov 3;13(11):e1005752
    pubmed: 29099853
  39. Sci Rep. 2017 May 17;7(1):2029
    pubmed: 28515465
  40. Nat Rev Rheumatol. 2016 Feb;12(2):92-101
    pubmed: 26439406
  41. Nat Rev Rheumatol. 2014 Jun;10(6):356-64
    pubmed: 24535546
  42. J Biol Chem. 2015 Feb 13;290(7):4225-37
    pubmed: 25519911
  43. Clin Med Insights Arthritis Musculoskelet Disord. 2018 Jan 03;11:1179544117751430
    pubmed: 29434479
  44. iScience. 2021 Dec 14;25(1):103620
    pubmed: 35005558
  45. Nat Chem Biol. 2020 Jun;16(6):644-652
    pubmed: 32367017
  46. Ther Adv Musculoskelet Dis. 2013 Apr;5(2):77-94
    pubmed: 23641259
  47. Oncotarget. 2017 Mar 28;8(13):21526-21538
    pubmed: 28423526
  48. Osteoarthritis Cartilage. 2022 Feb;30(2):184-195
    pubmed: 34534661
  49. Cytometry A. 2020 Jun;97(6):610-619
    pubmed: 32459071
  50. Biomolecules. 2018 Sep 14;8(3):
    pubmed: 30223513
  51. Bioinform Biol Insights. 2020 Jan 31;14:1177932219899051
    pubmed: 32076369
  52. Bone Joint Res. 2012 Nov 01;1(11):297-309
    pubmed: 23610661
  53. Nat Rev Rheumatol. 2016 Apr;12(4):243-9
    pubmed: 26729461
  54. Adv Exp Med Biol. 2020;1195:149
    pubmed: 32468469
  55. Acta Psychiatr Scand. 2019 Mar;139(3):227-236
    pubmed: 30383306
  56. Front Vet Sci. 2022 Aug 08;9:901269
    pubmed: 36003409
  57. J Extracell Vesicles. 2020 Feb 3;9(1):1713526
    pubmed: 32128070
  58. J Bone Miner Res. 2018 May;33(5):945-958
    pubmed: 29314205
  59. BMC Res Notes. 2022 Jun 27;15(1):226
    pubmed: 35761416
  60. J Extracell Vesicles. 2019 Nov 8;8(1):1684862
    pubmed: 31762963
  61. Br Med Bull. 2021 Mar 25;137(1):28-41
    pubmed: 33290503
  62. Osteoarthritis Cartilage. 2020 May;28(5):544-554
    pubmed: 31926267
  63. Osteoarthritis Cartilage. 2022 Jun;30(6):862-874
    pubmed: 35176481
  64. Am J Transl Res. 2020 Jan 15;12(1):261-268
    pubmed: 32051751
  65. J Extracell Vesicles. 2021 Sep;10(11):e12140
    pubmed: 34520123
  66. Nat Protoc. 2012 Jun 14;7(7):1311-26
    pubmed: 22722367
  67. Front Digit Health. 2021 Sep 06;3:648190
    pubmed: 34713118

Citations

This article has been cited 5 times.
  1. Liu W, Guo NY, Wang JQ, Xu BB. Osteoarthritis: Mechanisms and Therapeutic Advances. MedComm (2020) 2025 Aug;6(8):e70290.
    doi: 10.1002/mco2.70290pubmed: 40757100google scholar: lookup
  2. Wang T, Ng CY, Ng BZJ, Toh WS, Hui JHP. Multi-omics analysis of small extracellular vesicles in osteoarthritis: bridging the gap between molecular insights and clinical applications. Burns Trauma 2025;13:tkaf023.
    doi: 10.1093/burnst/tkaf023pubmed: 40740687google scholar: lookup
  3. Varela L, van de Lest CHA, van Weeren PR, Wauben MHM. Synovial fluid extracellular vesicles as arthritis biomarkers: the added value of lipid-profiling and integrated omics. Extracell Vesicles Circ Nucl Acids 2024;5(2):276-296.
    doi: 10.20517/evcna.2024.14pubmed: 39698533google scholar: lookup
  4. Welhaven HD, Welfley AH, June RK. Osteoarthritis Year in Review 2024: Molecular biomarkers of osteoarthritis. Osteoarthritis Cartilage 2025 Jan;33(1):67-87.
    doi: 10.1016/j.joca.2024.10.003pubmed: 39427749google scholar: lookup
  5. Sun DS, Chang HH. Extracellular vesicles: Function, resilience, biomarker, bioengineering, and clinical implications. Tzu Chi Med J 2024 Jul-Sep;36(3):251-259.
    doi: 10.4103/tcmj.tcmj_28_24pubmed: 38993825google scholar: lookup
Subscribe to our newsletter
Join 99,911 horse owners like you who receive our email updates on horse health and nutrition.