Background Early preeclampsia (PE) prediction has been shown to improve the maternal and fetal outcomes in pregnancy. We aimed to evaluate the PE prediction values of a series of serum biomarkers. Methods The singleton pregnant women with PE-related clinical and/or laboratory presentations were recruited and had the blood drawn at their first visits. The prospective cohort was further divided into the PE-positive and PE-negative groups based on the follow-up results. The following markers were tested with the collected serum samples: sFlt-1, PlGF, M, tPAI-C, compliment factors C1q, B, H, BUN, GlyFn, PAPP-A2, BUN, Cre, UA and Cysc. Results Totally 196 women suspected for PE were recruited with follow-up medical records. Twenty-five percent of the recruited subjects developed PE before delivery and 75% remained PE-negative. The serum levels of sFlt-1, BUN, Cre, UA, Cysc and PAPP-A2 were significantly elevated and the PlGF was significantly decreased in the PE-positive patients. The AUCs were listed in the order of decreasing values: UA (AUC = 0.73), sFlt-1/PlGF (AUC = 0.67), Cysc (AUC = 0.66), GlyFn/PlGF (AUC = 0.65), PlGF (AUC = 0.64), PAPP-A2/PlGF (AUC = 0.64), sFlt-1 (AUC = 0.63), BUN (AUC = 0.63), Cre (AUC = 0.63), and PAPP-A2 (AUC = 0.60) in the ROC analyses. The Logistic regression analysis showed that UA and PAPP-A2 were independent risk factors for PE development with the odds ratios of 3.3 and 2.2 respectively. Moreover, the PPVs of UA and PAPP-A2 were 48.9%, and 40.4%; the NPVs of UA and PAPP-A2 were 82.1% and 81.9%. Conclusions Further studies are warranted to confirm the clinical utilities of the serum markers in PE prediction.

Background: Preeclampsia (PE) is one of the main causes of maternal and fetal morbidity and mortality worldwide. This study was aimed to explore the potential metabolic alterations in women diagnosed with PE and reveal the underlying pathogenesis of disease.Methods: Healthy pregnant women and patients diagnosed with PE were recruited from August 2017 to February 2018. The metabolomic analysis of serum (n=90) and placenta (n=9) samples collected from the two groups were performed with the high performance liquid chromatography coupled with quadrupole-time-of light mass spectrometry (HPLC-QTOF-MS).Results: In serum, 16 metabolites that were present in different concentrations between the two groups were identified, of which pyroglutamic acid (pGlu), methionine, glutamine and taurocholic acid may be used as potential PE diagnosis biomarkers with the area under ROC curve of 0.901, 0.909, 0.892 and 0.873 respectively. Furthermore, the metabolic pathways analysis with differential metabolites in serum and placenta samples showed that linoleic acid and alpha- linolenic acid metabolism, phenylalanine, tyrosine and tryptophan biosynthesis, D-glutamine/D-glutamate metabolism, phenylalanine metabolism, glutathione (GSH) metabolism and tryptophan metabolism were significantly altered and might be involved in PE pathogenesis.Conclusions: These results showed the altered metabolic pathways could contribute to the pathophysiologic mechanisms of PE.

Background: Preeclampsia prediction improves maternal and fetal outcomes in pregnancy. We aimed to evaluate the preeclampsia prediction values of a series of serum biomarkers. Methods: Singleton pregnant women with preeclampsia-related clinical and/or laboratory presentations were recruited and had blood drawn at their first visits. The prospective cohort was further divided into preeclampsia-positive and preeclampsia-negative groups based on the follow-up results. The following markers were tested using the collected serum samples: soluble fms-like tyrosine kinase-1 ( sFlt-1); placental growth factor (PlGF); thrombomodulin (TM); tissue plasminogen activator inhibitor complex (tPAI-C); compliment factors C1q, B, and H; glycosylated fibronectin (GlyFn); pregnancy-associated plasma protein-A2 ( PAPP-A2); blood urea nitrogen (BUN); creatinine (Cre); uric acid (UA); and cystatin C (Cysc). Results: A total of 196 women with suspected preeclampsia were recruited with follow-up medical records. Twenty-five percent (n=49) of the recruited subjects developed preeclampsia before delivery, and 75% remained preeclampsia-negative (n=147). The serum levels of sFlt-1, BUN, Cre, UA, Cysc and PAPP-A2 were significantly elevated, and the PlGF level was significantly decreased in the preeclampsia-positive patients. In the receiver operating characteristics (ROC) analyses, the area under the curves were listed in the order of decreasing values: 0.73 (UA), 0.67 (sFlt-1/PlGF), 0.66 (Cysc), 0.65 (GlyFn/PlGF), 0.64 (PAPP-A2/PlGF), 0.63 (BUN), 0.63 (Cre), and 0.60 (PAPP-A2). With the cut-off values obtained from the ROC analyses, the positive predictive values of these serum markers were between 33.1% and 58.5%, and the negative predictive values were between 80.9% and 89.5%. Conclusions: Further studies are warranted to confirm the clinical utilities of the serum markers in preeclampsia prediction