血清多肽图技术建立子宫内膜异位症诊断模型

Establishment of serum peptidome pattern-based diagnostic model of endometriosis

目的利用基质辅助激光解析电离飞行时间质谱分析(MALDI-TOF-MS)技术分析血清多肽图,建立子宫内膜异位症(EMs)的血清诊断模型。方法采用MALDI-TOF技术和Clinprotools软件分析21例EMs血清和29例健康对照血清多肽图谱,建立诊断模型。用10例EMs血清和15例健康对照血清进行盲样验证。结果在m/z1000～10000的范围内共得到18个有统计学意义的差异多肽峰(P<0.01),表达上调的多肽有6个,下调的有12个,该模型盲样验证得到90.9%的敏感性和100%的特异性,准确率96.2%。结论可以利用MALDI-TOF-MS技术和Clinprotools软件来筛选子宫内膜异位症标记物。

Objective To establish a diagnostic model of endometriosis by analyzing serum peptidome patterns in patients with endometriosis using matrix-assisted laser desorption/ionization-time of flight mass spectrometry （MALDI-TOF-MS）.Methods Serum samples from 21 endometriosis patients and 29 healthy control subjects were analyzed using MALDI-TOF-MS and Clinprotools 2.0 software to establish the diagnostic model of endometriosis,which was validated using the serum samples from 10 endometriosis patients and 15 healthy controls.Results Eighteen statistically significant peptide peaks were obtained with the m/z value ranging from 1 000 to 10 000 （P0.01）.Among the peaks,12 were down-regulated and 6 up-regulated.The sensitivity and specificity of the model was 90.9% and 100.0% ,respectively,with a diagnostic accuracy of 96.2% .Conclusion This model shows the feasibility of using MALDI-TOF-MS and Clinprotools software to identify the biomarkers of endometriosis.