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一种“同类最佳”的全身性生物标志物,可预测与临床相关的膝关节骨关节炎结构和疼痛进展。

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

机构信息

Duke Molecular Physiology Institute, Durham, NC, USA.

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

出版信息

Sci Adv. 2023 Jan 25;9(4):eabq5095. doi: 10.1126/sciadv.abq5095.

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.

摘要

我们旨在鉴定血液(血清)中的标志物,以预测临床上有意义的膝关节骨关节炎(OA)进展,其定义为关节结构和疼痛在 48 个月内恶化的组合。在 596 例膝关节 OA 患者的队列中,一组 15 种血清蛋白质标志物对应 13 种总蛋白,其区分进展者和非进展者的受试者工作特征曲线(ROC)下面积(AUC)达到 73%。基于这些血液标志物的预测远远优于基于基线结构 OA 和疼痛严重程度的传统预测(59%),也优于目前预测 OA 进展的“最佳类别”生物标志物,即 II 型胶原羧基末端交联肽(58%)。在另一组 86 名个体中,该标志物集的通用性得到了确认,其区分关节结构进展者的 AUC 为 70%。血液是一种易于获得的生物样本,对这些生物标志物的分析可以帮助确定哪些个体需要参加临床试验,以及哪些个体最需要治疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4380/9876540/00700a5d07b9/sciadv.abq5095-f1.jpg

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