Metabolic Dynamics and Prediction of Gestational Age and Time to Delivery in Pregnant Women
Metabolism during pregnancy is a dynamic and precisely programmed process, the failure of which can bring devastating consequences to the mother and fetus. To define a high-resolution temporal profile of metabolites during healthy pregnancy, we analyzed the untargeted metabolome of 784 weekly blood...
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Published in | Cell Vol. 181; no. 7; pp. 1680 - 1692.e15 |
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Main Authors | , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Elsevier Inc
25.06.2020
Cell Press |
Subjects | |
Online Access | Get full text |
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Summary: | Metabolism during pregnancy is a dynamic and precisely programmed process, the failure of which can bring devastating consequences to the mother and fetus. To define a high-resolution temporal profile of metabolites during healthy pregnancy, we analyzed the untargeted metabolome of 784 weekly blood samples from 30 pregnant women. Broad changes and a highly choreographed profile were revealed: 4,995 metabolic features (of 9,651 total), 460 annotated compounds (of 687 total), and 34 human metabolic pathways (of 48 total) were significantly changed during pregnancy. Using linear models, we built a metabolic clock with five metabolites that time gestational age in high accordance with ultrasound (R = 0.92). Furthermore, two to three metabolites can identify when labor occurs (time to delivery within two, four, and eight weeks, AUROC ≥ 0.85). Our study represents a weekly characterization of the human pregnancy metabolome, providing a high-resolution landscape for understanding pregnancy with potential clinical utilities.
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•Weekly metabolome of maternal blood changes dynamically through healthy pregnancy•A metabolic clock of five blood metabolites accurately predicts gestational age•Two to three metabolites identify labor onset within two, four, and eight weeks•Women with metabolic clocks that outpaced ultrasound evaluation tend to deliver earlier
Identification of blood metabolites in pregnant women that can accurately predict gestational age and provide insights into pregnancy variations undetected by ultrasound. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Lead Contact Present address: Earle A. Chiles Research Institute, Providence Portland Medical Center, Portland, OR, 97213 USA Present address: Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON M5S 3E1, Canada |
ISSN: | 0092-8674 1097-4172 1097-4172 |
DOI: | 10.1016/j.cell.2020.05.002 |