血清蛋白质指纹图谱模型在子宫内膜异位症诊断中的应用

用表面加强激光解析电离飞行时间质谱(SELDI-TOF-MS)和蛋白质芯片检测子宫内膜异位症(endometriosis,EM)患者血清蛋白质指纹图谱,探讨诊断模型在EM诊断中的临床应用价值。用SELDI-TOF-MS技术和H4蛋白质芯片检测16例EM和16例正常女性的血清蛋白质指纹图谱,并建立诊断模型。然后,对16名健康人和16例EM患者样本进行盲法测试验证该模型。筛选出4个有明显表达差异的蛋白质,其质荷比(m/z)分别为8141、6096、5894、3269。建立的诊断模型对EM检测的灵敏度为87.5%(14/16),特异性为93.75%(15/16),总准确率为90.625%(29/32)。SELDI-TOF-MS对小样本的EM诊断具有较高的敏感性和特异性,在EM的诊断及标志物筛选等方面具有较好的诊断价值。

Establishment of Serum Proteomic Patterns for Screening Endometriosis by SELDI-TOF-MS

To detect the serum proteomic patterns in endometriosis patients by using SELDI-TOF-MS protein chip array,build diagnostic models and evaluate its clinical significance.SELDI-TOF-MS protein chip was used to detect the serum proteomic patterns of 16 patients with endometriosis and 16 normal women,and the diagnostic models were developed.Then,the blinding test was performed on those endometriosis patients and healthy individuals.Four potential biomarkers were found(8 141,6 096,5 894,3 269 m/z),and the diagnostic system separated the endometriosis from the healthy samples with a sensitivity of 87.5%(14/16)and a specificity of 93.75%(15/16).The method showed high sensitivity and specificity and great potential for the detection and screening better biomarkers for endometriosis.