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Orthopaedic Proceedings
Vol. 103-B, Issue SUPP_4 | Pages 76 - 76
1 Mar 2021
Tomasina C Mohren R Mulder K Camarero-Espinosa S Cillero-Pastor B Moroni L
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The extracellular matrix (ECM) is the non-cellular structural support that provides cells with a network of biochemical and biomechanical factors for cellular processes. The ECM regulates cell function, differentiation and homeostasis. Here, we present a proteomics characterization of three commonly used additive manufactured polymers: polylactic acid (PLA), polyactive (PEOT/PBT) and polycaprolactone (PCL).

We cultured human mesenchymal stromal cells (hMSCs) and make them undergo chondrogenic and osteogenic differentiation on 3D printed PCL, PEOT/PBT and PLA scaffolds. hMSCs were cultured in basal, chondrogenic and osteogenic media (200000 cells/scaffold) and analyzed after 35 days of culture. Differentiation was proved through biochemical assays, immunofluorescence and histology. The protein content was explored using label free liquid chromatography mass spectrometry (LC-MS), which revealed upregulated proteins and their related pathways.

A higher difference was found among different media compared to the scaffold type through principal component analysis (PCA). Interestingly, in all three materials, chondrogenesis was characterized by a lower but more diverse amount of proteins. PCL induced ECM production in both differentiation media, but it led to more apoptosis and GAG degradation in the chondrogenic medium compared to the osteogenic one. During chondrogenesis in PEOT/PBT and PLA, cell differentiation resulted in the activation of stress response cascades, collagen formation and ECM remodelling. On the other hand, in osteogenesis, PCL enhanced insulin-like growth factor pathway and fibrin clot related pathways.


Orthopaedic Proceedings
Vol. 105-B, Issue SUPP_16 | Pages 53 - 53
17 Nov 2023
Wright K McDonald J Mennan C Perry J Peffers M Hulme C
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Abstract

Objectives

A promising therapy for early osteoarthritis (OA) is the transplantation of human umbilical cord-derived mesenchymal stromal cells (hUC-MSCs). The synovial fluid (SF) from a pre-clinical ovine model treated with hUC-MSCs has been profiled using proteomics and bioinformatics to elucidate potential mechanisms of therapeutic effect.

Methods

Four weeks after a medial meniscus transection surgery, sheep were injected with 107 hUC-MSCs in Phosphate Buffered Saline (PBS) or PBS only (n=7) and sacrificed at 12 weeks. SF was normalised for protein abundance (ProteoMinerTM) and analysed using label-free quantitation proteomics. Bioinformatics analyses (Ingenuity Pathway Analysis (IPA) and STRING) were used to assess differentially regulated functions from the proteomic data. Human orthologues were identified for the ovine proteins using UniProt and DAVID resources and proteins that were ≥±1.3 fold differentially abundant between treatment groups, were included in the bioinformatics analyses.


Orthopaedic Proceedings
Vol. 106-B, Issue SUPP_2 | Pages 92 - 92
2 Jan 2024
Fidan B Demirdis I Çiftçi E Aydinli H Kaplan O Çelebier M Boyacioglu Ö Korkusuz P Karanfil Y Korkusuz F
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Platelet Rich Plasma (PRP), either rich (L-PRP) or poor (P-PRP) of leukocytes, is frequently used as an anti-inflammatory and regenerative tool in osteoarthritis (OA). PRP contains proteins but not genes as it is derived from megakaryocytes. Proteomics but not metabolomics of PRP was recently studied. Metabolomics is a field of ‘omics’ research involved in comprehensive portrayal of the small molecules, metabolites, in the metabolome. These small molecules can be endogenous metabolites or exogenous compounds found in an organism (1). Our aim was to determine the difference between L-PRP and P-PRP. A cross-sectional clinical study was designed in six recreational male athletes between the ages of 18 and 35 years. 3 mL P-PRP and 3 mL -LPRP was prepared from 60 mL of venous blood after treating with 9 mL of sodium citrate and centrifugation at 2.700 rpm for 10 min. Half of the prepared PRP's were frozen at −20°C for a week. Fresh and frozen samples were analyzed at the Q-TOF LC/MS device after thawing to room temperature. Untargeted metabolomic results revealed that the metabolomic profile of the L-PRP and P-PRP were significantly different from each other. A total of 33.438 peaks were found. Statistically significant (p<0.05) peaks were uploaded to the MetaboAnalyst 5.0 platform. Exogenous out of 2.308 metabolites were eliminated and metabolites found significant for our study were subjected to pathway analysis. Steroid biosynthesis, sphingolipid metabolism and metabolism of lipid pathways were affected. In the L-PRP samples, Nicotinamide riboside (FC: 2.2), MHPG (FC: 3.0), estrone sulfate (FC: 7.5), thiamine diphosphate (FC: 2.0), leukotriene E4 (FC: 7.5), PC(18:1 (9Z)e/2:0) (FC: 9.8) and Ap4A (FC: 2.1) were higher compared to P-PRP. C24 sulfatide (FC: −11.8), 3-hexaprenyl-4,5-dihydroxybenzoic acid (FC: −2.8) metabolites were furthermore lower in P-PRP. Clinical outcomes of PRP application should consider these metabolic pathways in future studies (2)