子痫前期孕妇血清代谢组学分析

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

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。

Objective:To study the changes of serum metabolic profile before and after pregnancy in pre-eclampsia, 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 (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 ultra performance liquid chromatography-mass spectra (UPLC-MS). Based on themultivariate statistical analysismethod 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 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. There was difference on the level of LysoPC(18:0), LysoPC(22:6) and (S)- 14-Methylhexadecanoic between preoperatively and postoperatively. The difference was statistically significant (P<0.05). Conclusions: The construction of metabolic profile discriminant model has a strong ability to distinguish patients with pre - eclampsia and normal pregnant women. Screening out characteristic metabolites can reflect the state of lipid metabolism in early pre-eclampsia, and provide reference and help for the prediction, diagnosis and treatment of PE.