Abstract: 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.

Key words: Pre-eclampsia, Metabolomics, Chromatography, liquid, Mass spectrometry