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Metabolic Dynamics and Prediction of Gestational Age and Time to Delivery in Pregnant Women. Cell 2020 Jun 25;181(7):1680-1692.e15

Date

06/27/2020

Pubmed ID

32589958

Pubmed Central ID

PMC7327522

DOI

10.1016/j.cell.2020.05.002

Scopus ID

2-s2.0-85086798738 (requires institutional sign-in at Scopus site)   188 Citations

Abstract

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.

Author List

Liang L, Rasmussen MH, Piening B, Shen X, Chen S, Röst H, Snyder JK, Tibshirani R, Skotte L, Lee NC, Contrepois K, Feenstra B, Zackriah H, Snyder M, Melbye M

Author

Liang Liang PhD Assistant Professor in the Obstetrics and Gynecology department at Medical College of Wisconsin




MESH terms used to index this publication - Major topics in bold

Adult
Biomarkers
Female
Fetus
Gestational Age
Humans
Metabolic Networks and Pathways
Metabolome
Metabolomics
Pregnancy