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Synovial fluid fingerprinting in end-stage knee osteoarthritis: a novel biomarker concept

Abstract:

Aims: The lack of disease-modifying treatments for osteoarthritis (OA) is linked to a shortage of suitable biomarkers. This study combines multi-molecule synovial fluid analysis with machine learning to produce an accurate diagnostic biomarker model for end-stage knee OA (esOA).

Methods: Synovial fluid (SF) from patients with esOA, non-OA knee injury, and inflammatory knee arthritis were analyzed for 35 potential markers using immunoassays. Partial...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1302/2046-3758.99.bjr-2019-0192.r1

Authors


More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Botnar Research Centre
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Botnar Research Centre
Role:
Author
ORCID:
0000-0002-4994-2264
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Botnar Research Centre
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Botnar Research Centre
Oxford college:
Keble College
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Botnar Research Centre
Role:
Author
ORCID:
0000-0002-2772-2316
Publisher:
British Editorial Society of Bone & Joint Surgery
Journal:
Bone and Joint Research More from this journal
Volume:
9
Issue:
9
Pages:
623-632
Publication date:
2020-09-30
DOI:
EISSN:
2046-3758
ISSN:
2046-3758
Pmid:
33101658
Language:
English
Keywords:
Pubs id:
1135954
Local pid:
pubs:1135954
Deposit date:
2020-11-10

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