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

被引:26
作者
He, Bing [1 ]
Liu, Yu [1 ]
Maurya, Mano R. [2 ,3 ]
Benny, Paula [4 ]
Lassiter, Cameron [4 ]
Li, Hui [1 ]
Subramaniam, Shankar [2 ,3 ,5 ,6 ]
Garmire, Lana X. [1 ]
机构
[1] Univ Michigan, Dept Computat Med & Bioinformat, Ann Arbor, MI 48109 USA
[2] Univ Calif San Diego, Dept Bioengn, La Jolla, CA 92093 USA
[3] Univ Calif San Diego, San Diego Supercomp Ctr, La Jolla, CA 92093 USA
[4] Univ Hawaii, Dept Epidemiol, Canc Ctr, Honolulu, HI 96822 USA
[5] Univ Calif San Diego, Dept Comp Sci & Engn, La Jolla, CA 92093 USA
[6] Univ Calif San Diego, Dept Cellular & Mol Med, La Jolla, CA 92093 USA
基金
美国国家卫生研究院; 英国惠康基金; 美国国家科学基金会;
关键词
lipidomics; metabolomics; pathway; biomarker; hypertension; maternal blood; pregnancy; machine learning; classification; preeclampsia; EARLY-ONSET; AUTOPHAGY; RISK; INFLAMMATION; INFECTION; PREGNANCY; MEMBRANES; HEALTH; LC3;
D O I
10.1016/j.jlr.2021.100118
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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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页数:13
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