Proteomic analysis of synovial fluid: current and potential uses to improve clinical outcomes



Peffers, Mandy Jayne ORCID: 0000-0001-6979-0440, Smagul, Aibek and Anderson, James Ross ORCID: 0000-0003-0489-7997
(2019) Proteomic analysis of synovial fluid: current and potential uses to improve clinical outcomes. EXPERT REVIEW OF PROTEOMICS, 16 (4). pp. 287-302.

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Abstract

<h4>Introduction</h4>Synovial fluid (SF) is in close proximity to tissues which are primarily altered during articular disease and has significant potential to better understand the underlying disease pathogeneses of articular pathologies and biomarker discovery. Although development of mass spectrometry-based methods has allowed faster and higher sensitivity techniques, interrogation of the SF proteome has been hindered by its large protein concentration dynamic range, impeding quantification of lower abundant proteins. Areas covered: Recent advances have developed methodologies to reduce the large protein concentration dynamic range of SF and subsequently allow deeper exploration of the SF proteome. This review concentrates on methods to overcome biofluid complexity, mass spectrometry proteomics methodologies, extracellular vesicles proteomics and the application of advances within the field in clinical disease, including osteoarthritis, rheumatoid arthritis, spondyloarthritis and juvenile arthritis. A narrative review was conducted with articles searched using PubMed, 1991-2018. Expert opinion: The SF proteomics field faces various challenges, including the requirement for rigorous and standardised methods of sample collection/storage, the sensitivity and specificity of proteomic assays, techniques to combat the large protein concentration dynamic range and comprehensive data analysis to reduce falsely identified markers. Additionally, there are challenges in developing multi 'omic' integration techniques, with computational integration enhancing analysis.

Item Type: Article
Uncontrolled Keywords: mass spectrometry, proteomics, synovial fluid
Depositing User: Symplectic Admin
Date Deposited: 08 Mar 2019 15:59
Last Modified: 19 Jan 2023 00:57
DOI: 10.1080/14789450.2019.1578214
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3033946