title: Biomarker identification and pathway analysis of preeclampsia based on serum metabolomics.
abstract: 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.
authors.affiliation: Department of Gynaecology and Obstetrics, Tongren Hospital, Shanghai Jiaotong University School of Medicine, 1111XianXia Road, Shanghai 200336, China; School of Medicine, Suzhou University, Suzhou 215021, China.
authors.forename: Tingting
authors.initials: T
authors.lastname: Chen
authors.affiliation: Department of Gynaecology and Obstetrics, Tongren Hospital, Shanghai Jiaotong University School of Medicine, 1111XianXia Road, Shanghai 200336, China.
authors.forename: Ping
authors.initials: P
authors.lastname: He
authors.affiliation: Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Science, Beijing 100700, China.
authors.forename: Yong
authors.initials: Y
authors.lastname: Tan
authors.affiliation: Department of Gynaecology and Obstetrics, Tongren Hospital, Shanghai Jiaotong University School of Medicine, 1111XianXia Road, Shanghai 200336, China. Electronic address: xudongyingtongren@163.com.
authors.forename: Dongying
authors.initials: D
authors.lastname: Xu
mesh_terms: D000328:Adult; D015415:Biomarkers / Q000097:blood / Q000378:metabolism; D002853:Chromatography, Liquid; D005260:Female; D006801:Humans; D013058:Mass Spectrometry; D053858:Metabolic Networks and Pathways; D055442:Metabolome; D055432:Metabolomics; D011225:Pre-Eclampsia / Q000097:blood* / Q000175:diagnosis / Q000378:metabolism*; D011247:Pregnancy; D011379:Prognosis; D044967:Serum / Q000378:metabolism; D055815:Young Adult
chemical_list: D015415:Biomarkers
keywords: Biomarker; Metabolomics; Preeclampsia