AUTHOR=Zhang Lizi , Bi Shilei , Liang Yingyu , Huang Lijun , Li Yulian , Huang Minshan , Huang Baoying , Deng Weinan , Liang Jingying , Gu Shifeng , Chen Jingsi , Du Lili , Chen Dunjin , Wang Zhijian 

TITLE=Integrated Metabolomic and Lipidomic Analysis in the Placenta of Preeclampsia

JOURNAL=Frontiers in Physiology

VOLUME=Volume 13 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/physiology/articles/10.3389/fphys.2022.807583

DOI=10.3389/fphys.2022.807583

ISSN=1664-042X

ABSTRACT=Preeclampsia is one of the most common severe pregnancy complications in obstetrics, which is considered a placental source disease. However, the mechanisms underlying preeclampsia remain largely unknown. In this study, UPLC-MS/MS-based metabolomic and lipidomic analysis was used to explore the characteristic placental metabolites in preeclampsia. The results revealed that there were significant changes in metabolites between preeclampsia and normotensive placentas. Weighted correlation network analysis (WGCNA) identified the correlation network module of metabolites highly related to preeclampsia and the clinical traits reflecting disease severity. The metabolic perturbations were primarily associated with glycerophospholipid and glutathione metabolism, which might influent membrane structures of organisms and mitochondria function. Therefore, metabolomics and lipidomics may offer a novel insight for a better understanding of preeclampsia and provide a useful molecular mechanism underlying preeclampsia.