MALDI-TOF MS combined with magnetic beads for detecting serum protein biomarkers and establishment of boosting decision tree model for diagnosis of systemic lupus erythematosus
MALDI-TOF MS combined with magnetic beads for detecting serum protein biomarkers and establishment of boosting decision tree model for diagnosis of systemic lupus erythematosus
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MALDI-TOF MS联合磁珠检测血清蛋白生物标志物及建立boosting决策树模型诊断系统性红斑狼疮
DOI：
10.1093/rheumatology/kep058
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发表时间：
2009-06-01
期刊：
影响因子：
5.5
通讯作者：
Li, Yongzhe
中科院分区：
文献类型：
--
作者：
Huang, Zhuochun;Shi, Yunying;Li, Yongzhe
目标.利用蛋白质组学技术发现新的潜在生物标志物并建立SLE的诊断模式。采用弱阳离子交换磁珠结合基质辅助激光解吸/电离飞行时间质谱（MALDI-TOF MS）技术获得血清蛋白质谱。来自分析32名SLE患者，43名其他自身免疫性疾病患者和43名年龄和性别匹配的健康志愿者的血清的光谱训练集用于训练和开发决策树模型，该模型具有称为决策增强的机器学习算法。对32例SLE患者、42例其他自身免疫性疾病患者和40例健康人进行盲法测试，以验证模型的准确性。以质荷比（m/z）为4070.09、7770.45、28045.1和3376.02的4种潜在蛋白质标记物组成的诊断模式可准确识别32例SLE患者中的25例、42例其他自身免疫性疾病患者中的36例和40例健康人中的36例。初步研究结果表明，MALDI-TOF MS结合磁珠技术可作为一种有效的血清蛋白质组分析技术，并结合模式分析，建立了一个包含4种潜在生物标志物的诊断模型，可快速、准确地将SLE患者与RA、SS、SSc及健康对照区分开来。
Objectives. To discover novel potential biomarkers and establish a diagnostic pattern for SLE by using proteomic technology.Methods. Serum proteomic spectra were generated by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) combined with weak cationic exchange magnetic beads. A training set of spectra, derived from analysing sera from 32 patients with SLE, 43 patients with other autoimmune diseases and 43 age- and sex-matched healthy volunteers, was used to train and develop a decision tree model with a machine learning algorithm called decision boosting. A blinded testing set, including 32 patients with SLE, 42 patients with other autoimmune diseases and 40 healthy people, was used to determine the accuracy of the model.Results. The diagnostic pattern with a panel of four potential protein biomarkers of mass-to-charge (m/z) ratio 4070.09, 7770.45, 28045.1 and 3376.02 could accurately recognize 25 of 32 patients with SLE, 36 of 42 patients with other autoimmune diseases and 36 of 40 healthy people.Conclusions. The preliminary data suggested a potential application of MALDI-TOF MS combined with magnetic beads as an effective technology to profile serum proteome, and with pattern analysis, a diagnostic model comprising four potential biomarkers was indicated to differentiate individuals with SLE from RA, SS, SSc and healthy controls rapidly and precisely.