Soluble biomarkers in osteoarthritis in 2022: year in review

生物标志物 骨关节炎 医学 软骨 生物标志物发现 生物信息学 软骨寡聚基质蛋白 蛋白质组学 叙述性评论 小RNA 内科学 病理 生物 重症监护医学 基因 替代医学 解剖 生物化学
作者
Francisco Airton Castro Rocha,Shabana Amanda Ali
出处
期刊:Osteoarthritis and Cartilage [Elsevier]
卷期号:31 (2): 167-176 被引量:28
标识
DOI:10.1016/j.joca.2022.09.005
摘要

Objective To review articles reporting on the development of soluble biomarkers in osteoarthritis (OA) over the past year. Design Two literature searches were conducted using the PubMed database for articles published between April 1, 2021 and March 31, 2022. Two searches were done, one on soluble biomarkers and another on circulating non-coding RNAs in OA. Additional articles were hand-picked to highlight emerging biomarker trends in OA. Results Of 348 publications retrieved, we included 20 articles with 3 that were hand-picked for the narrative synthesis. We review recent data on soluble biomarkers and circulating non-coding microRNAs in OA using the BIPED classification system. We highlight studies using proteomics to show that cartilage acidic protein 1 (CRTAC1) is a promising biomarker, helping diagnose and estimate severity in hand, hip, and knee OA. Subtle changes in the structure of glycosaminoglycans from the extracellular cartilage matrix were shown to discriminate OA from non-OA cartilage. C-reactive protein metabolite (CRPM) and collagen metabolites may help discriminate subsets of OA patients as well as disease progression. Additionally, physical activity may impact determination of biomarkers. We also report on circulating microRNAs, lncRNAs, and circRNAs in OA and their predictive accuracy in diagnosis and prognosis. Conclusions Biomarkers for routine use are still an unmet need in the OA clinical scenario. Emerging data and novel classes of biomarkers (i.e., non-coding RNAs) show promise. Although still requiring validation in multiple independent cohorts, the past year brought advances towards a ready-to-use, reproducible, cost-effective biomarker, namely CRTAC1, to better manage the OA patient.

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