4.6 Article

The maternal blood lipidome is indicative of the pathogenesis of severe preeclampsia

Journal

JOURNAL OF LIPID RESEARCH
Volume 62, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.jlr.2021.100118

Keywords

lipidomics; metabolomics; pathway; biomarker; hypertension; maternal blood; pregnancy; machine learning; classification; preeclampsia

Funding

  1. National Institute of Environmental Health Sciences by trans-National Institutes of Health (NIH) Big Data to Knowledge initiative [K01ES025434]
  2. National Library of Medicine [R01 LM012373, LM012907]
  3. National Institute of Child Health and Human Development [R01 HD084633]
  4. NIH [R01 HD084633, R01 LM012595, U01 DK097430, U01 CA200147, U01 CA198941, U19 AI090023, R01 HL106579, R01 HL108735, R01 DK109365]
  5. National Science Foundation [CCF-0939370]
  6. Wellcome Trust

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The study identified altered lipid profiles in severe preeclampsia patients, with increased intercorrelations and connections of oxidized phospholipids and reduced network correlations of other lipids. Certain lipid species showed significant changes uniquely associated with preeclampsia, serving as potential biomarkers for the condition. The dysregulated biological pathways enriched with these lipids, such as insulin signaling and immune response, indicate a potential role of the lipidome in the pathogenesis of severe preeclampsia.
Preeclampsia is a pregnancy-specific syndrome characterized by hypertension and proteinuria after 20 weeks of gestation. However, it is not well understood what lipids are involved in the development of this condition, and even less is known how these lipids mediate its formation. To reveal the relationship between lipids and preeclampsia, we conducted lipidomic profiling of maternal sera of 44 severe preeclamptic and 20 healthy pregnant women from a multiethnic cohort in Hawaii. Correlation network analysis showed that oxidized phospholipids have increased intercorrelations and connections in preeclampsia, whereas other lipids, including triacylglycerols, have reduced network correlations and connections. A total of 10 lipid species demonstrate significant changes uniquely associated with preeclampsia but not any other clinical confounders. These species are from the lipid classes of lysophosphatidylcholines, phosphatidylcholines (PCs), cholesteryl esters, phosphatidylethanolamines, lysophosphatidylethanolamines, and ceramides. A random forest classifier built on these lipids shows highly accurate and specific prediction (F1 statistic = 0.94; balanced accuracy = 0.88) of severe preeclampsia, demonstrating their potential as biomarkers for this condition. These lipid species are enriched in dysregulated biological pathways, including insulin signaling, immune response, and phospholipid metabolism. Moreover, causality inference shows that various PCs and lysophosphatidylcholines mediate severe preeclampsia through PC 35:1e. Our results suggest that the lipidome may play a role in the pathogenesis and serve as biomarkers of severe preeclampsia.

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