子痫前期孕妇血清代谢组学分析

目的:比较妊娠子痫前期(PE)患者分娩前后血清代谢轮廓的变化,建立疾病区分模型并筛选出具有潜在临床应用价值的特征代谢物。方法:选取2017年9月-2018年3月天津市第三中心医院收入院的孕妇共45例,其中PE患者(PE组)20例,正常孕妇(对照组)25例,应用超高效液相色谱与质谱联用仪(UPLC-MS)分别检测PE组孕妇分娩前、分娩后以及对照组的血清标本,筛选出差异性特征代谢物并进行分析。结果:构建了妊娠PE组血清代谢轮廓模型,共筛选出溶血磷脂酰胆碱类物质LPC 18:0、LPC 22:6、14-甲基十六烷酸、二十二酸和1,25-二羟基维生素D3-26,23内酯共5种差异性代谢产物,且溶血磷脂酰胆碱类物质LPC 18:0、LPC 22:6和14-甲基十六烷酸3种物质在PE分娩前与分娩后的差异有统计学意义(均P<0.05)。结论:构建代谢轮廓模型具有很强地区分PE患者分娩前后及正常孕妇的能力,筛选出特征代谢物能够反映PE患者代谢水平的变化趋势,为PE的预测、诊治提供参考。

Analysis of Serum Metabolic Profiling of Pregnant Women with Pre-Eclampsia

Objectives To study the changes of serum metabolic profile before and after pregnancy in preeclampsia,to establish a disease differentiation model and to screen out characteristic metabolites with potential clinical diagnostic value. Methods The subjects were 20 cases of eclampsia of pregnancy (group PE)(44.4%)and 25 normal pregnant women (group Control)(55.6%)from September 2017 to March 2018.All the serum samples were analyzed by using the super high performance liquid chromatography and mass spectrometry (UPLC-MS). Based on the multivariate statistical analysis method of pattern recognition, we analyzed the experimental data and analyzed the trend of the differential characteristic metabolites.Results The serum metabolic profile principal component analysis model (PCA) and the orthogonal partial least square (OPLS-DA) discriminant model of the pregnancy eclampsia group were constructed. At the same time, 5 kinds of Characteristic Metabolites in the serum of the patients with eclampsia in the normal pregnancy group were screened and identified,They are LysoPC(18:0)、LysoPC(22:6)、(S)-14-Methylhexadecanoic acid、Behenic acid、1,25-Dihydroxyvitamin D3-26,23-lactone , and LysoPC(18:0)、LysoPC(22:6)、(S)-14-Methylhexadecanoic acid existed between the pre operation group and the postoperative group. The difference was statistically significant (P<0.05). Conclusions The construction of metabolic profile discriminant model has a strong ability of patients with preeclampsia and normal pregnant women. Screening out characteristic metabolites can reflect the state of lipid metabolism in early preeclampsia, and provide reference and help for the prediction and diagnosis and treatment of eclampsia, The characteristic metabolites can reflect the changing trend of the patient's metabolic level and provide reference and help for the prediction, diagnosis and treatment of PE.