Suppr超能文献

骨关节炎中不断发展的生物标志物

Evolving biomarkers in osteoarthritis.

作者信息

Patra Debabrata, Sandell Linda J

机构信息

Department of Orthopaedic Surgery, Washington University School of Medicine at Barnes-Jewish Hospital, St. Louis, Missouri 63110, USA.

出版信息

J Knee Surg. 2011 Dec;24(4):241-9. doi: 10.1055/s-0031-1286192.

Abstract

Osteoarthritis (OA) is one of the most debilitating diseases affecting mankind with severe financial and emotional consequences. The heterogeneity of the human population, lack of complete understanding of the OA disease process, and the slow progressive nature of the disease characterized by prolonged periods of nonsymptomatic, degenerative changes has hampered development of ideal diagnostic and prognostic portfolios. The difficulties associated with early OA diagnosis by exclusively radiographic techniques has propelled a need to identify specific biomarkers for rapid and effective early OA diagnosis, better patient prognosis, and for monitoring the efficacy of pharmacological interventions to the disease process. This review highlights some of the biochemical biomarkers in current use in OA, their applications and limitations. Investigation of single nucleotide polymorphisms as genetic biomarkers and the application of technologies such as lipidomics and metabolomics to OA are generating potentially additional biomarkers that could be helpful for detecting early OA phenomena in humans.

摘要

骨关节炎(OA)是影响人类的最具致残性的疾病之一,会带来严重的经济和情感后果。人类群体的异质性、对骨关节炎疾病进程缺乏全面了解,以及该疾病以长期无症状的退行性变化为特征的缓慢进展性质,都阻碍了理想诊断和预后方案的开发。仅通过放射学技术进行早期骨关节炎诊断存在困难,这推动了对特定生物标志物的需求,以便快速、有效地进行早期骨关节炎诊断,改善患者预后,并监测针对该疾病进程的药物干预效果。本综述重点介绍了目前在骨关节炎中使用的一些生化生物标志物、它们的应用及局限性。对作为遗传生物标志物的单核苷酸多态性的研究,以及脂质组学和代谢组学等技术在骨关节炎中的应用,正在产生可能有助于检测人类早期骨关节炎现象的其他生物标志物。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验