Analysis of serum metabolic profiling of preeclampsia pregnancy / 中华检验医学杂志

ABSTRACT

Objectives This research explored the characteristics of changes in the serum metabolic profile of preeclampsia pregnancy(PE) to establish the disease distinguish model and screen characteristic metabolic markers with potential diagnostic value for preeclampsia.Methods From August 2014 to January 2016,samples in three groups were collected at Tianjin Third Central Hospital.Thirty-one clinically diagnosis patients with preeclampsia,25 normal pregnancy women and 29 healthy volunteers of childbearing age were enrolled.Ultraperformance liquid chromatography-mass spectrometry (UPLC-MS) was used to analyze serum metabolites of PE group (31 patients with preeclampsia),P group (25 normal pregnancy women) and Normal group (29 healthy volunteers of childbearing age).Nonparametric test analyzes were used to analyze the data and find the specific metabolites.Results This research established the principal component analysis (PCA) and orthogonal partial least squares-discriminant analysis (OPLS-DA) disease distinguish model for PE group,P group and Normal group.To distinguish PE group,P group and Normal group,15 characteristic metabolites were identified.Eight kinds of glycerol phospholipid (including 7 kinds of hemolysis phosphatidyl choline and 1 kind of lysophospholipids acid) and 1 kind of sphingomyelin in PE group were higher than that of normal pregnancy group.The difference had statistically significant(Z of the metabolites were 2.32,3.34,3.21,2.60,2.22,3.40,3.58,5.84,2.70 respectively,all P<0.05).1,25-Dihydroxyvitamin D3-26,23-lactone and 24-Oxo-1alpha,23,25-trihydroxyvitamin D3 in PE group were higher than that of P group and Normal group,which had a statistics difference (Z of the metabolites were 2.01,3.89,3.26,2.34 respectively,all P<0.05).Conclusions Metabolomics distinguish model has a good ability to distinguish PE group,P group and Normal group.Serum characteristic metabolites can successfully reflect the status of fat,calcium and phosphorus metabolism of preeclampsia patients and provide high value for prediction,diagnosis and treatment.