Biomarker identification and pathway analysis of preeclampsia based on serum metabolomics

Preeclampsia presents serious risk of both maternal and fetal morbidity and mortality. Biomarkers for the detection of preeclampsia are critical for risk assessment and targeted intervention. The goal of this study is to screen potential biomarkers for the diagnosis of preeclampsia and to illuminate...

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Bibliographic Details
Published inBiochemical and biophysical research communications Vol. 485; no. 1; pp. 119 - 125
Main Authors Chen, Tingting, He, Ping, Tan, Yong, Xu, Dongying
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 25.03.2017
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Summary:Preeclampsia presents serious risk of both maternal and fetal morbidity and mortality. Biomarkers for the detection of preeclampsia are critical for risk assessment and targeted intervention. The goal of this study is to screen potential biomarkers for the diagnosis of preeclampsia and to illuminate the pathogenesis of preeclampsia development based on the differential expression network. Two groups of subjects, including healthy pregnant women, subjects with preeclampsia, were recruited for this study. The metabolic profiles of all of the subjects' serum were obtained by liquid chromatography quadruple time-of-flight mass spectrometry. Correlation between metabolites was analyzed by bioinformatics technique. Results showed that the PC(14:0/00), proline betaine and proline were potential sensitive and specific biomarkers for preeclampsia diagnosis and prognosis. Perturbation of corresponding biological pathways, such as iNOS signaling, nitric oxide signaling in the cardiovascular system, mitochondrial dysfunction were responsible for the pathogenesis of preeclampsia. This study indicated that the metabolic profiling had a good clinical significance in the diagnosis of preeclampsia as well as in the study of its pathogenesis. •Serum samples from preeclampsia patients and healthy women were detected using LC-Q-TOF MS.•PC(14:0/00), proline betaine and proline were potential biomarkers for preeclampsia diagnosis and prognosis.•Several perturbation of corresponding biological pathways were responsible for the pathogenesis of preeclampsia.
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ISSN:0006-291X
1090-2104
DOI:10.1016/j.bbrc.2017.02.032