机构地区:[1]泸州医学院附属医院神经外科,四川泸州646000
出 处:《重庆医学》2012年第7期633-636,共4页Chongqing medicine
摘 要:目的通过检测颅内动脉瘤患者血清特异蛋白标记物,为筛选颅内动脉瘤,尤其是未破裂颅内动脉瘤患者提供实验依据。方法将本院神经外科收治的颅内动脉瘤破裂、未破裂患者分别作为破裂组(n=45)及未破裂组(n=45),同时期健康体检者作为对照组(n=45)。采用表面增强激光解吸/离子化飞行时间质谱(SELDI-TOF-MS)技术、金属亲和蛋白芯片及分析软件分别对未破裂组、破裂组及对照组血清样品进行检测,筛选差异蛋白,建立诊断模型并进行双盲法验证。结果未破裂组与正常组血清有54个蛋白质峰表达的差异具有统计学意义(P<0.05),其中8个蛋白质峰荷质比分布于2 000~20 000之间,两组比较差异显著(P<0.01);未破裂组与破裂组血清有79个蛋白质峰表达的差异具有统计学意义(P<0.05),其中14个蛋白质峰荷质比分布于2 000~20 000之间,两组比较差异显著(P<0.01)。以荷质比为2 540.6、3 367.7、5 857.5及8 231.0的4个差异蛋白建立神经网络筛选模型可鉴别未破裂动脉瘤患者与正常人血清样本,经双盲法测试,其灵敏度为93.3%,特异度为93.3%,受试者工作特征(ROC)曲线下面积(AUC)为0.920,验证所建立的诊断模型可靠;筛选荷质比为2 938.2、4 065.3、6 642.0、9 127.5及16 021.6的5个差异蛋白建立神经网络筛选模型可鉴别未破裂动脉瘤与破裂动脉瘤血清样本。经双盲法测试,其灵敏度为93.3%,特异度为86.7%,AUC为0.858,验证所建立的诊断模型可靠。结论建立血清差异蛋白质谱表达模型是筛选未破裂颅内动脉瘤的一种新方法。Objective To provide experimental data for screening patients with intracranial aneurysm,especially with unruptured intracranial aneurysms,through detecting specific protein marker in serum of them.Methods Patients with ruptured or unruptured intracranial aneurysms admitted to neurosurgery department of the hospital were divided into ruptured group(n=45) and unruptured group(n=45),respectively,and the healthy people who had accepted physical examination in the same period served as control group(n=45).Surface-enhanced laser desorption/inionation-time of flight-mass spectra(SELDI-TOF-MS),metal affinity protein chips and analysis software were adopted to detect the serum samples of patients in unruptured,ruptured and control group.Screening differential protein,establishing diagnostic model and double-blind validation were performed.Results 54 differentially expressed protein peaks detected in serum of unruptured and control group demonstrated statistical difference(P0.05),and 8 protein peaks among them with charge-mass ratios distributed from 2 000 to 20 000 showed significant difference between the two groups(P0.01).79 differentially expressed protein peaks detected in serum of unruptured and ruptured group demonstrated statistical difference(P0.05),and 14 protein peaks among them with charge-mass ratios distributed from 2 000 to 20 000 showed significant difference between the two groups(P0.01).Neural network screening model which had been established according to 4 differential proteins with charge-mass ratios of 2 540.6,3 367.7,5 857.5 and 8 231.0 could differentiate the serum sample of patients with unruptured aneurysms from that of healthy people.Double-blind test demonstrated that the established diagnostic model was reliable with sensitivity of 93.3%,specificity of 93.3% and the receiver operating characteristic(ROC) area under the curve(AUC) of 0.920.Neural network screening model which had been established according to 5 differential proteins with charge-mass ratio
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