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

Author:

Zhou Kaile12ORCID,Li Yi-Ju12ORCID,Soderblom Erik J.3,Reed Alexander1ORCID,Jain Vaibhav1,Sun Shuming1,Moseley M. Arthur3ORCID,Kraus Virginia Byers14ORCID

Affiliation:

1. Duke Molecular Physiology Institute, Durham, NC, USA.

2. Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA.

3. Center for Genomic and Computational Biology, Durham, NC, USA.

4. Department of Medicine, Duke University School of Medicine, Durham, NC, USA.

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.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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