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目的通过对比重型肝炎患者血清中的低相对分子质量蛋白质谱,分析其与病情严重程度及预后的关系。方法28例重型肝炎患者根据疾病转归的不同分为存活组和死亡组,利用表面增强激光解吸离子化飞行时间串联质谱技术检测患者血清中相对分子质量位于1000～10000之间的蛋白质指纹图谱,筛选出两组图谱的差异峰,再结合人工神经网络技术建立重型肝炎的预后预测模型。结果比较重型肝炎存活组与死亡组的血清蛋白质指纹图谱,发现质量电荷比为4095、2860、5179、3954等38个峰的峰强度在两组间的差异有统计学意义(P<0.05)。利用这些差异峰建立的预测模型对重型肝炎预后的预测正确率达85.7%,在该预测模型中,权重最大的5个峰的质量电荷比依次为4095、5198、3954、5354、4967。结论重型肝炎存活组与死亡组患者血清中低相对分子质量蛋白质有明显差异,这些差异蛋白与患者疾病的预后相关。
Objective To compare the serum low molecular weight protein profiles of severe hepatitis patients with their severity and prognosis. Methods Twenty-eight patients with severe hepatitis were divided into survival group and death group according to the disease outcome. Protein fingerprinting was performed using surface-enhanced laser desorption / ionization time of flight tandem mass spectrometry (MS-MS / MS) Screening out the difference between the two groups of peaks, and then combined with artificial neural network technology to establish prognosis prediction model of severe hepatitis. Results Serum protein fingerprinting of survivors and deaths of severe hepatitis were compared. The peak intensities of 38 peaks with mass-to-charge ratio of 4095,2860,5179,3954 were found statistically significant difference between the two groups (P <0.05). The prediction model of these differences peak was used to predict the prognosis of severe hepatitis by 85.7%. The mass-to-charge ratios of the five peaks with the highest weight were 4095,5198,3954,5354,4967. Conclusion Serum levels of low molecular weight proteins are significantly different between patients with severe hepatitis and those with death. The differential proteins are associated with the prognosis of the patients.