[基于血清肽组图谱的子宫内膜异位症诊断模型的建立]
[Establishment of serum peptidome pattern-based diagnostic model of endometriosis].
作者信息
Li Li-an, Wang Na, Liang Ting-ting, Li Ai-ling, Li Ya-li
机构信息
General Hospital of PLA, Beijing 100853, China.
出版信息
Nan Fang Yi Ke Da Xue Xue Bao. 2010 Apr;30(4):851-4.
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 (P<0.01). 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.
目的
通过基质辅助激光解吸/电离飞行时间质谱（MALDI-TOF-MS）分析子宫内膜异位症患者血清肽组模式，建立子宫内膜异位症诊断模型。
方法
采用MALDI-TOF-MS和Clinprotools 2.0软件分析21例子宫内膜异位症患者和29例健康对照者的血清样本，建立子宫内膜异位症诊断模型，并用10例子宫内膜异位症患者和15例健康对照者的血清样本进行验证。
结果
获得18个具有统计学意义的肽峰，m/z值范围为1000至10000（P<0.01）。其中，12个肽峰下调，6个上调。该模型的敏感性和特异性分别为90.9%和100.0%，诊断准确率为96.2%。
结论
该模型显示了使用MALDI-TOF-MS和Clinprotools软件识别子宫内膜异位症生物标志物的可行性。
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