TY - JOUR
T1 - Mass Spectrometry-based Biomarkers for Knee Osteoarthritis: A Systematic Review
AU - Haartmans, Mirella J. J.
AU - Emanuel, Kaj S.
AU - Tuijthof, Gabrielle J. M.
AU - Heeren, Ron M. A.
AU - Emans, Pieter J.
AU - Cillero-Pastor, Berta
N1 - Funding Information: This manuscript was funded by the Dutch Research Council or ?Nederlandse Organisatie voor Wetenschappelijk Onderzoek? (NWO) domain Applied and Engineering Sciences (P15-23). The funders had no input in study design, data collection or data analysis, and manuscript preparation. Figure 1, 3 and 4 were modified from Servier Medical Art, licensed under a Creative Common Attribution 3.0 Generic License. http://smart.servier.com/. Publisher Copyright: © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021
Y1 - 2021
N2 - Introduction: Knee osteoarthritis (OA) is a joint disease, affecting multiple tissues in the joint. Early detection and intervention may delay OA development and avoid total knee arthroplasty. Specific biomarker profiles for early detection and guiding clinical decision-making of OA have not yet been identified. One technique that can contribute to the finding of this ‘OA biomarker’ is mass spectrometry (MS), which offers the possibility to analyze different molecules in tissues or fluids. Several proteomic, lipidomic, metabolomic and other–omic approaches aim to identify these molecular profiles; however, variation in methods and techniques complicate the finding of promising candidate biomarkers. Areas covered: In this systematic review, we aim to provide an overview of molecules in knee OA patients. Possible biomarkers in several tissue types of OA and non-OA patients, as well as current limitations and possible future suggestions will be discussed. Expert opinion: According to this review, we do not believe one specific biomarker will function as predictive molecule for OA. Likely, a group of molecules will give insight in OA development and possible therapeutic targets. For clinical implementation of MS-analysis in clinical decision-making, standardized procedures, large cohort studies and sharing protocols and data is necessary.
AB - Introduction: Knee osteoarthritis (OA) is a joint disease, affecting multiple tissues in the joint. Early detection and intervention may delay OA development and avoid total knee arthroplasty. Specific biomarker profiles for early detection and guiding clinical decision-making of OA have not yet been identified. One technique that can contribute to the finding of this ‘OA biomarker’ is mass spectrometry (MS), which offers the possibility to analyze different molecules in tissues or fluids. Several proteomic, lipidomic, metabolomic and other–omic approaches aim to identify these molecular profiles; however, variation in methods and techniques complicate the finding of promising candidate biomarkers. Areas covered: In this systematic review, we aim to provide an overview of molecules in knee OA patients. Possible biomarkers in several tissue types of OA and non-OA patients, as well as current limitations and possible future suggestions will be discussed. Expert opinion: According to this review, we do not believe one specific biomarker will function as predictive molecule for OA. Likely, a group of molecules will give insight in OA development and possible therapeutic targets. For clinical implementation of MS-analysis in clinical decision-making, standardized procedures, large cohort studies and sharing protocols and data is necessary.
KW - Biomarker
KW - hoffa’s fat pad
KW - infrapatellar fat pad
KW - lipidomics
KW - mass spectrometry
KW - metabolomics
KW - osteoarthritis
KW - proteomics
KW - total knee arthroplasty
KW - total knee replacement
UR - http://www.scopus.com/inward/record.url?scp=85114645834&partnerID=8YFLogxK
U2 - https://doi.org/10.1080/14789450.2021.1952868
DO - https://doi.org/10.1080/14789450.2021.1952868
M3 - Review article
C2 - 34228576
SN - 1478-9450
VL - 18
SP - 693
EP - 706
JO - Expert Review of Proteomics
JF - Expert Review of Proteomics
IS - 8
ER -