Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.
Crit Rev Clin Lab Sci. 2013 Feb-Apr;50(2):51-63. doi: 10.3109/10408363.2013.802408.
There is an urgent need for identifying novel serum biomarkers that can be used to improve diagnosis, predict disease progression or response to therapy, or serve as therapeutic targets for rheumatic diseases. Synovial fluid (SF) is secreted by and remains in direct contact with the synovial membrane, and can reflect the biochemical state of the joint under different physiological and pathological conditions. Therefore, SF is regarded as an excellent source for identifying biomarkers of rheumatologic diseases. The use of high-throughput and/or quantitative proteomics and sophisticated computational software applied to analyze the protein content of SF has been well-adopted as an approach to finding novel arthritis biomarkers. This review will focus on some of the potential pitfalls of biomarker studies using SF, summarize the status of the field of SF proteomics in general, as well as discuss some of the most promising biomarker study approaches using proteomics. A brief status of the biomarker discovery efforts in rheumatoid arthritis, osteoarthritis and juvenile idiopathic arthritis is also provided.
迫切需要鉴定新的血清生物标志物,以改善诊断、预测疾病进展或对治疗的反应,或作为风湿性疾病的治疗靶点。滑液(SF)由滑膜分泌并保持与滑膜直接接触,并且可以在不同的生理和病理条件下反映关节的生化状态。因此,SF 被认为是鉴定风湿性疾病生物标志物的绝佳来源。使用高通量和/或定量蛋白质组学以及复杂的计算软件来分析 SF 中的蛋白质含量已被很好地采用作为寻找新型关节炎生物标志物的方法。这篇综述将重点介绍使用 SF 进行生物标志物研究的一些潜在陷阱,总结 SF 蛋白质组学领域的现状,并讨论使用蛋白质组学进行一些最有前途的生物标志物研究方法。还简要介绍了类风湿关节炎、骨关节炎和青少年特发性关节炎的生物标志物发现工作的现状。