Metabolic Dynamics and Prediction of Gestational Age and Time to Delivery in Pregnant Women
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- Metabolic Dynamics and Prediction of Gestational Age and Time to Delivery in Pregnant Women
Final published version, 3.06 MB, PDF document
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.
Original language | English |
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Journal | Cell |
Volume | 181 |
Issue number | 7 |
Pages (from-to) | 1680-1692.e15 |
Number of pages | 29 |
ISSN | 0092-8674 |
DOIs | |
Publication status | Published - 2020 |
- delivery prediction, gestational age, human pregnancy, longitudinal profiling, machine learning, metabolic clock, metabolic pathways, metabolomics
Research areas
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