应用蛋白指纹质谱技术筛选子宫腺肌病患者血清特异性标记物

目的：应用蛋白质指纹图谱技术筛选子宫腺肌病患者血清中特异表达蛋白，并建立多标记物诊断模型。方法：应用表面增强激光解吸电离飞行质谱（SELDI-TOF-MS）技术检测子宫腺肌病患者和健康人（对照组）血清中的差异表达蛋白，并绘制蛋白指纹图谱，利用多标记物诊断模型对建模组及盲筛组分别进行检测。结果：在子宫腺肌病患者和对照组之间共找到12个差异蛋白峰（P＜0.05）, 利用质核比为 2 748 和5 759 的蛋白质峰建立子宫腺肌病的诊断模型，其敏感度为100%，特异度为80%，经盲法验证，该模型诊断的敏感度和特异度分别为86%和100%。结论：利用SELDI-TOF-MS技术筛选并建立的多蛋白标记物的诊断模型具有较高的敏感度和特异度，为初步诊断子宫腺肌病提供了方向。

Screening for Specific Biomarkers in Serum for Diagnosis of Adenomyosis Using SELDI-TOF-MS Technology

Objective： To detect specific serum biomarkers of adenomyosis by surface-enhanced laser ｄｅｓｏｒｐｔｉｏｎ／ｉｏｎｉｚａｔｉｏｎ ｔｉｍｅ－ｏｆ－ｆｌｉｇｈｔ ｍａｓｓ ｓｐｅｃｔｒｏｍｅｔｒｙ（ＳＥＬＤＩ－ＴＯＦ－ＭＳ） ｔｅｃｈｎｏｌｏｇｙ． Ｍｅｔｈｏｄｓ： Serum samples from women with adenomyosis were compared with normal control groups by SELDI-TOF-MS technology. After finding the biomarkers, the diagnostic models were evaluated and blinded test was performed to exam the sensitivity and specificity. Results：In this study, the difference between the adenomyosis and control groups was ｓｉｇｎｉｆｉｃａｎｔ ｆｏｒ １２ ｐｒｏｔｅｉｎ ｐｅａｋｓ（Ｐ＜０．０５）． Ａｍｏｎｇ ｔｈｅｍ ｔｗｏ ｐｒｏｔｅｉｎ ｐｅａｋｓ ｗｉｔｈ ｍ／ｚ ｏｆ ２．７４８ ｋu ａｎｄ ５．７５９ ｋu were protected be of high value in the diagnosis of adenomyosis. Then we set up the diagnostic model of ａｄｅｎｏｍｙｏｓｉｓ ｗｉｔｈ ｕｓａｇｅ ｏｆ ｔｈｅｓｅ ｔｗｏ ｐｒｏｔｅｉｎ ｐｅａｋｓ， ｔｈｅ ｓｅｎｓｉｔｉｖｉｔｙ ａｎｄ ｓｐｅｃｉｆｉｃｉｔｙ ｗｅｒｅ １００％ ａｎｄ ８０％． Ａｎａｌｙｓｉｓ of spectra from the completely blinded test set accurately classified with a sensitivity and specificity of 86% and 100%. Conclusions： SELDI-TOF-MS technology plays an important role on screening the diagnostic biomarker of adenomyosis. The pattern of combined markers provides a powerful and reliable diagnostic method for adenomyosis with high sensitivity and specificity.