Discovery of new rheumatoid arthritis biomarkers using the surface-enhanced laser desorption/ionization time-of-flight mass spectrometry ProteinChip approach
Discovery of new rheumatoid arthritis biomarkers using the surface-enhanced laser desorption/ionization time-of-flight mass spectrometry ProteinChip approach
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DOI：
10.1002/art.21607
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发表时间：
2005-12-01
影响因子：
--
通讯作者：
Merville, MP
中科院分区：
文献类型：
--
作者：
de Seny, D;Fillet, M;Merville, MP
客观的。使用表面增强激光解吸/电离飞行时间质谱 (SELDI-TOF-MS) 技术来鉴定类风湿性关节炎 (RA) 特异性的血清蛋白生物标志物。方法。总共分析了来自患者和健康对照的 103 份血清样本。根据美国风湿病学会的标准，其中 34 名患者被诊断为 RA。炎症对照组包括 20 名银屑病关节炎 (PsA) 患者、9 名哮喘患者和 10 名克罗恩病患者。非炎症对照组由 14 名膝骨关节炎患者和 16 名健康对照者组成。通过 SELDI-TOF-MS 获得血清蛋白谱并进行比较，以确定 RA 特异性的新生物标志物。根据不同的预处理步骤，通过称为决策树提升的机器学习算法对数据进行分析。结果。在 RA 患者与对照患者以及 RA 患者与 PsA 患者的阵列上确定了最具辨别力的质量/电荷 (m/z) 值，作为 RA 的潜在生物标志物。在几个候选者中，突出显示了以下峰：m/z 值 2,924（RA 与 H4 阵列上的对照）、10,832 和 11,632（RA 与 CM10 阵列上的对照）、4,824（RA 与 H4 阵列上的 PsA）和 4,666（RA 与 CM10 阵列上的 PsA）。蛋白质组分析的阳性结果与抗环瓜氨酸肽测试的阳性结果相关。我们的观察表明10,832峰可能代表骨髓相关蛋白8。结论。 SELDI-TOF-MS 技术可以快速分析许多血清样品，并使用决策树增强分析作为主要统计方法，使我们能够提出 RA 特异性的蛋白质峰模式：。
Objective. To identify serum protein biomarkers specific for rheumatoid arthritis (RA), using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS) technology.Methods. A total of 103 serum samples from patients and healthy controls were analyzed. Thirty-four of the patients had a diagnosis of RA, based on the American College of Rheumatology criteria. The inflammation control group comprised 20 patients with psoriatic arthritis (PsA), 9 with asthma, and 10 with Crohn's disease. The noninflammation control group comprised 14 patients with knee osteoarthritis and 16 healthy control subjects. Serum protein profiles were obtained by SELDI-TOF-MS and compared in order to identify new biomarkers specific for RA. Data were analyzed by a machine learning algorithm called decision tree boosting, according to different preprocessing steps.Results. The most discriminative mass/charge (m/z) values serving as potential biomarkers for RA were identified on arrays for both patients with RA versus controls and patients with RA versus patients with PsA. From among several candidates, the following peaks were highlighted: m/z values of 2,924 (RA versus controls on H4 arrays), 10,832 and 11,632 (RA versus controls on CM10 arrays), 4,824 (RA versus PsA on H4 arrays), and 4,666 (RA versus PsA on CM10 arrays). Positive results of proteomic analysis were associated with positive results of the anti-cyclic citrullinated peptide test. Our observations suggested that the 10,832 peak could represent myeloid-related protein 8.Conclusion. SELDI-TOF-MS technology allows rapid analysis of many serum samples, and use of decision tree boosting analysis as the main statistical method allowed us to propose a pattern of protein peaks specific for RA:.