Literature DB >> 33166667

Identification of tissue-dependent proteins in knee OA synovial fluid.

U T Timur1, H Jahr2, J Anderson3, D C Green3, P J Emans4, A Smagul3, L W van Rhijn4, M J Peffers3, T J M Welting5.   

Abstract

OBJECTIVE: For many proteins from osteoarthritic synovial fluid, their intra-articular tissue of origin remains unknown. In this study we performed comparative proteomics to identify osteoarthritis-specific and joint tissue-dependent secreted proteins that may serve as candidates for osteoarthritis biomarker development on a tissue-specific basis.
DESIGN: Protein secretomes of cartilage, synovium, Hoffa's fat pad and meniscus from knee osteoarthritis patients were determined using liquid chromatography tandem mass spectrometry, followed by label-free quantification. Validation of tissue-dependent protein species was conducted by ELISA on independent samples. Differential proteomes of osteoarthritic and non-osteoarthritic knee synovial fluids were obtained via similar proteomics approach, followed by ELISA validation.
RESULTS: Proteomics revealed 64 proteins highly secreted from cartilage, 94 from synovium, 37 from Hoffa's fat pad and 21 from meniscus. Proteomic analyses of osteoarthritic vs non-osteoarthritic knee synovial fluid revealed 70 proteins with a relatively higher abundance and 264 proteins with a relatively lower abundance in osteoarthritic synovial fluid. Of the 70 higher abundance proteins, 23 were amongst the most highly expressed in the secretomes of a specific intra-articular tissue measured. Tissue-dependent release was validated for SLPI, C8, CLU, FN1, RARRES2, MATN3, MMP3 and TNC. Abundance in synovial fluid of tissue-dependent proteins was validated for IGF2, AHSG, FN1, CFB, KNG and C8.
CONCLUSIONS: We identified proteins with a tissue-dependent release from intra-articular human knee OA tissues. A number of these proteins also had an osteoarthritis-specific abundance in knee synovial fluid. These proteins may serve as novel candidates for osteoarthritis biomarker development on a tissue-specific basis.
Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Biomarker; Knee joint; Osteoarthritis; Proteomics; Synovial fluid; Tissue-dependent

Mesh:

Year:  2020        PMID: 33166667     DOI: 10.1016/j.joca.2020.09.005

Source DB:  PubMed          Journal:  Osteoarthritis Cartilage        ISSN: 1063-4584            Impact factor:   6.576


  6 in total

1.  Histone H3K27 demethylase UTX compromises articular chondrocyte anabolism and aggravates osteoarthritic degeneration.

Authors:  Wei-Shiung Lian; Re-Wen Wu; Jih-Yang Ko; Yu-Shan Chen; Shao-Yu Wang; Chun-Ping Yu; Holger Jahr; Feng-Sheng Wang
Journal:  Cell Death Dis       Date:  2022-06-08       Impact factor: 9.685

Review 2.  Ribosome dysfunction in osteoarthritis.

Authors:  Guus G H van den Akker; Marjolein M J Caron; Mandy J Peffers; Tim J M Welting
Journal:  Curr Opin Rheumatol       Date:  2022-01-01       Impact factor: 5.006

Review 3.  Insights into the molecular landscape of osteoarthritis in human tissues.

Authors:  Georgia Katsoula; Peter Kreitmaier; Eleftheria Zeggini
Journal:  Curr Opin Rheumatol       Date:  2022-01-01       Impact factor: 5.006

4.  Development of an artificial synovial fluid useful for studying Staphylococcus epidermidis joint infections.

Authors:  Johanna Stamm; Samira Weißelberg; Anna Both; Antonio Virgilio Failla; Gerhard Nordholt; Henning Büttner; Stefan Linder; Martin Aepfelbacher; Holger Rohde
Journal:  Front Cell Infect Microbiol       Date:  2022-07-29       Impact factor: 6.073

Review 5.  Towards Precision Medicine for Osteoarthritis: Focus on the Synovial Fluid Proteome.

Authors:  Lorenzo Moretti; Davide Bizzoca; Alessandro Geronimo; Francesco Luca Moretti; Edoardo Monaco; Giuseppe Solarino; Biagio Moretti
Journal:  Int J Mol Sci       Date:  2022-08-27       Impact factor: 6.208

6.  Inflammation-Driven Secretion Potential Is Upregulated in Osteoarthritic Fibroblast-Like Synoviocytes.

Authors:  Jakub Chwastek; Marta Kędziora; Małgorzata Borczyk; Michał Korostyński; Katarzyna Starowicz
Journal:  Int J Mol Sci       Date:  2022-10-05       Impact factor: 6.208

  6 in total

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