Identification of serum,placental and fetal serum metabolite biomarkers for preeclampsia based on LC-MS
10.3969/j.issn.1671-8348.2025.05.008
- VernacularTitle:基于液相色谱-质谱法的子痫前期患者血清、胎盘和胎儿血清代谢生物标志物的鉴定
- Author:
Yixia PAN
1
;
Rui LIU
;
Chan WEI
;
Qiang MA
;
Weimin WANG
Author Information
1. 西安交通大学第一附属医院妇产科,西安 710061
- Keywords:
preeclampsia;
metabolic biomarkers;
metabolic phenotypes;
placenta;
fetal serum
- From:
Chongqing Medicine
2025;54(5):1092-1100
- CountryChina
- Language:Chinese
-
Abstract:
Objective To clarify the metabolic phenotypic changes in the serum and placenta of pre-eclampsia(PE)patients and their potential impact on fetal serum,and to identify and explore potential predic-tive biomarkers related to PE by using non-targeted metabolomics technology,thereby providing a reference for clinical diagnosis and disease monitoring.Methods Based on non-targeted metabolomics using liquid chro-matography-mass spectrometry(LC-MS),metabolomic analyses were performed on serum,placenta and um-bilical cord blood samples from 6 PE patients(PE group)and 6 healthy pregnant women in the late trimester(control group).Differential endogenous metabolites in each sample were screened using multivariate and uni-variate statistical methods.Metabolic pathways involved in the differential metabolites were enriched using MetaboAnalyst software.Additionally,potential biomarkers for predicting PE were identified based on binary logistic regression models.Results Compared with the control group,significant differences in the metabolic profiles of serum,placenta,and fetal serum were observed in the PE group.In the serum of PE patients,major metabolic abnormalities included α-linolenic acid metabolism,taurine metabolism,glycine,serine and threonine metabolism.In the placenta,abnormalities in linoleic acid metabolism,taurine metabolism,α-linolenic acid me-tabolism,and unsaturated fatty acid biosynthesis were detected.In the fetus of PE patients,metabolic abnor-malities were found in glutamine and glutamate metabolism,α-linolenic acid metabolism,and alanine,aspar-tate,and glutamate metabolism,involving polyunsaturated fatty acids and amino acids.The receiver operating characteristic(ROC)curves of differential metabolites were plotted using binary logistic regression models,and 4 serum metabolites with an area under the curve(AUC)＞0.9 were identified,mainly polyunsaturated fatty acid metabolites.The AUC of α-linolenic acid,a common differential metabolite in all three samples,was 0.806,with a sensitivity of 66.67％and specificity of 100.00％,indicating high diagnostic value.Conclusion The serum,placenta,and fetal serum metabolic profiles of PE patients and healthy pregnant women in the late trimester are significantly different and affect the metabolic phenotypes of offspring,providing insights into the pathogenesis of PE.
