A bloodspot-based diagnostic test for fibromyalgia syndrome and related disorders
A bloodspot-based diagnostic test for fibromyalgia syndrome and related disorders
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DOI：
10.1039/c3an36615d
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发表时间：
2013-01-01
期刊：
影响因子：
4.2
通讯作者：
Buffington, C. A. Tony
中科院分区：
文献类型：
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作者：
Hackshaw, Kevin V.;Rodriguez-Saona, Luis;Buffington, C. A. Tony
本研究的目的是利用中红外微光谱（IRMS）研究一种基于生物标志物的快速诊断纤维肌痛综合征（FM）的方法，将FM患者与骨关节炎（OA）和类风湿性关节炎（RA）患者区分开来，并确定与光谱模式相关的分子种类。在IRB批准下，从诊断为FM （n = 14）、RA （n = 15）或OA （n = 12）的患者中采集血液样本。制备样品，放置在高反射载玻片上，并使用IRMS收集光谱。光谱分析采用多元统计模型来区分组。等量的样品也进行了代谢组学分析。IRMS根据光谱信息对受试者进行分类，在FM和RA或OA患者之间没有分类错误。受试者之间的类间距离为15.4 (FM vs. RA), 14.7 （FM vs. OA）和2.5 (RA vs. OA)，表明IRMS能够实现FM特有的独特光谱模式的可靠分辨率。代谢组学分析显示，RA组和OA组代谢相似，而FM组的生化差异与其他两组截然不同。IRMS和代谢组学分析都发现了色氨酸分解代谢途径的变化，将FM患者与RA或OA患者区分开来。
The aim of this study was to investigate the ability of a rapid biomarker-based method for diagnosis of fibromyalgia syndrome (FM) using mid-infrared microspectroscopy (IRMS) to differentiate patients with FM from those with osteoarthritis (OA) and rheumatoid arthritis (RA), and to identify molecular species associated with the spectral patterns. Under IRB approval, blood samples were collected from patients diagnosed with FM (n = 14), RA (n = 15), or OA (n = 12). Samples were prepared, placed onto a highly reflective slide, and spectra were collected using IRMS. Spectra were analyzed using multivariate statistical modeling to differentiate groups. Aliquots of samples also were subjected to metabolomic analysis. IRMS separated subjects into classes based on spectral information with no misclassifications among FM and RA or OA patients. Interclass distances of 15.4 (FM vs. RA), 14.7 (FM vs. OA) and 2.5 (RA vs. OA) among subjects, demonstrating the ability of IRMS to achieve reliable resolution of unique spectral patterns specific to FM. Metabolomic analysis revealed that RA and OA groups were metabolically similar, whereas biochemical differences were identified in the FM that were quite distinctive from those found in the other two groups. Both IRMS and metabolomic analysis identified changes in tryptophan catabolism pathway that differentiated patients with FM from those with RA or OA.