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A "best-in-class" systemic biomarker predictor of clinically relevant knee osteoarthritis structural and pain progression.


ABSTRACT: We aimed to identify markers in blood (serum) to predict clinically relevant knee osteoarthritis (OA) progression defined as the combination of both joint structure and pain worsening over 48 months. A set of 15 serum proteomic markers corresponding to 13 total proteins reached an area under the receiver operating characteristic curve (AUC) of 73% for distinguishing progressors from nonprogressors in a cohort of 596 individuals with knee OA. Prediction based on these blood markers was far better than traditional prediction based on baseline structural OA and pain severity (59%) or the current "best-in-class" biomarker for predicting OA progression, urinary carboxyl-terminal cross-linked telopeptide of type II collagen (58%). The generalizability of the marker set was confirmed in a second cohort of 86 individuals that yielded an AUC of 70% for distinguishing joint structural progressors. Blood is a readily accessible biospecimen whose analysis for these biomarkers could facilitate identification of individuals for clinical trial enrollment and those most in need of treatment.

SUBMITTER: Zhou K 

PROVIDER: S-EPMC9876540 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature

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A "best-in-class" systemic biomarker predictor of clinically relevant knee osteoarthritis structural and pain progression.

Zhou Kaile K   Li Yi-Ju YJ   Soderblom Erik J EJ   Reed Alexander A   Jain Vaibhav V   Sun Shuming S   Moseley M Arthur MA   Kraus Virginia Byers VB  

Science advances 20230125 4


We aimed to identify markers in blood (serum) to predict clinically relevant knee osteoarthritis (OA) progression defined as the combination of both joint structure and pain worsening over 48 months. A set of 15 serum proteomic markers corresponding to 13 total proteins reached an area under the receiver operating characteristic curve (AUC) of 73% for distinguishing progressors from nonprogressors in a cohort of 596 individuals with knee OA. Prediction based on these blood markers was far better  ...[more]

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