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Clinically Relevant Molecular Biomarkers for Use in Human Knee Osteoarthritis: A Systematic Review

OBJECTIVE: Biomarkers in osteoarthritis (OA) could serve as objective clinical indicators for various disease parameters, and act as surrogate endpoints in clinical trials for disease-modifying drugs. The aim of this systematic review was to produce a comprehensive list of candidate molecular biomar...

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Autores principales: Convill, James G., Tawy, Gwenllian F., Freemont, Anthony J., Biant, Leela C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8808945/
https://www.ncbi.nlm.nih.gov/pubmed/32680434
http://dx.doi.org/10.1177/1947603520941239
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author Convill, James G.
Tawy, Gwenllian F.
Freemont, Anthony J.
Biant, Leela C.
author_facet Convill, James G.
Tawy, Gwenllian F.
Freemont, Anthony J.
Biant, Leela C.
author_sort Convill, James G.
collection PubMed
description OBJECTIVE: Biomarkers in osteoarthritis (OA) could serve as objective clinical indicators for various disease parameters, and act as surrogate endpoints in clinical trials for disease-modifying drugs. The aim of this systematic review was to produce a comprehensive list of candidate molecular biomarkers for knee OA after the 2013 ESCEO review and discern whether any have been studied in sufficient detail for use in clinical settings. DESIGN: MEDLINE and Embase databases were searched between August 2013 and May 2018 using the keywords “knee osteoarthritis,” “osteoarthritis,” and “biomarker.” Studies were screened by title, abstract, and full text. Human studies on knee OA that were published in the English language were included. Excluded were studies on genetic/imaging/cellular markers, studies on participants with secondary OA, and publications that were review/abstract-only. Study quality and bias were assessed. Statistically significant data regarding the relationship between a biomarker and a disease parameter were extracted. RESULTS: A total of 80 studies were included in the final review and 89 statistically significant individual molecular biomarkers were identified. C-telopeptide of type II collagen (CTXII) was shown to predict progression of knee OA in urine and serum in multiple studies. Synovial fluid vascular endothelial growth factor concentration was reported by 2 studies to be predictive of knee OA progression. CONCLUSION: Despite the clear need for biomarkers of OA, the lack of coordination in current research has led to incompatible results. As such, there is yet to be a suitable biomarker to be used in a clinical setting.
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spelling pubmed-88089452022-02-10 Clinically Relevant Molecular Biomarkers for Use in Human Knee Osteoarthritis: A Systematic Review Convill, James G. Tawy, Gwenllian F. Freemont, Anthony J. Biant, Leela C. Cartilage Clinical Research papers OBJECTIVE: Biomarkers in osteoarthritis (OA) could serve as objective clinical indicators for various disease parameters, and act as surrogate endpoints in clinical trials for disease-modifying drugs. The aim of this systematic review was to produce a comprehensive list of candidate molecular biomarkers for knee OA after the 2013 ESCEO review and discern whether any have been studied in sufficient detail for use in clinical settings. DESIGN: MEDLINE and Embase databases were searched between August 2013 and May 2018 using the keywords “knee osteoarthritis,” “osteoarthritis,” and “biomarker.” Studies were screened by title, abstract, and full text. Human studies on knee OA that were published in the English language were included. Excluded were studies on genetic/imaging/cellular markers, studies on participants with secondary OA, and publications that were review/abstract-only. Study quality and bias were assessed. Statistically significant data regarding the relationship between a biomarker and a disease parameter were extracted. RESULTS: A total of 80 studies were included in the final review and 89 statistically significant individual molecular biomarkers were identified. C-telopeptide of type II collagen (CTXII) was shown to predict progression of knee OA in urine and serum in multiple studies. Synovial fluid vascular endothelial growth factor concentration was reported by 2 studies to be predictive of knee OA progression. CONCLUSION: Despite the clear need for biomarkers of OA, the lack of coordination in current research has led to incompatible results. As such, there is yet to be a suitable biomarker to be used in a clinical setting. SAGE Publications 2020-07-17 2021-12 /pmc/articles/PMC8808945/ /pubmed/32680434 http://dx.doi.org/10.1177/1947603520941239 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Clinical Research papers
Convill, James G.
Tawy, Gwenllian F.
Freemont, Anthony J.
Biant, Leela C.
Clinically Relevant Molecular Biomarkers for Use in Human Knee Osteoarthritis: A Systematic Review
title Clinically Relevant Molecular Biomarkers for Use in Human Knee Osteoarthritis: A Systematic Review
title_full Clinically Relevant Molecular Biomarkers for Use in Human Knee Osteoarthritis: A Systematic Review
title_fullStr Clinically Relevant Molecular Biomarkers for Use in Human Knee Osteoarthritis: A Systematic Review
title_full_unstemmed Clinically Relevant Molecular Biomarkers for Use in Human Knee Osteoarthritis: A Systematic Review
title_short Clinically Relevant Molecular Biomarkers for Use in Human Knee Osteoarthritis: A Systematic Review
title_sort clinically relevant molecular biomarkers for use in human knee osteoarthritis: a systematic review
topic Clinical Research papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8808945/
https://www.ncbi.nlm.nih.gov/pubmed/32680434
http://dx.doi.org/10.1177/1947603520941239
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