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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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Autores principales: Liang, Liang, Rasmussen, Marie-Louise Hee, Piening, Brian, Shen, Xiaotao, Chen, Songjie, Röst, Hannes, Snyder, John K., Tibshirani, Robert, Skotte, Line, Lee, Norman CY., Contrepois, Kévin, Feenstra, Bjarke, Zackriah, Hanyah, Snyder, Michael, Melbye, Mads
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cell Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327522/
https://www.ncbi.nlm.nih.gov/pubmed/32589958
http://dx.doi.org/10.1016/j.cell.2020.05.002
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author Liang, Liang
Rasmussen, Marie-Louise Hee
Piening, Brian
Shen, Xiaotao
Chen, Songjie
Röst, Hannes
Snyder, John K.
Tibshirani, Robert
Skotte, Line
Lee, Norman CY.
Contrepois, Kévin
Feenstra, Bjarke
Zackriah, Hanyah
Snyder, Michael
Melbye, Mads
author_facet Liang, Liang
Rasmussen, Marie-Louise Hee
Piening, Brian
Shen, Xiaotao
Chen, Songjie
Röst, Hannes
Snyder, John K.
Tibshirani, Robert
Skotte, Line
Lee, Norman CY.
Contrepois, Kévin
Feenstra, Bjarke
Zackriah, Hanyah
Snyder, Michael
Melbye, Mads
author_sort Liang, Liang
collection PubMed
description 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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spelling pubmed-73275222020-07-06 Metabolic Dynamics and Prediction of Gestational Age and Time to Delivery in Pregnant Women Liang, Liang Rasmussen, Marie-Louise Hee Piening, Brian Shen, Xiaotao Chen, Songjie Röst, Hannes Snyder, John K. Tibshirani, Robert Skotte, Line Lee, Norman CY. Contrepois, Kévin Feenstra, Bjarke Zackriah, Hanyah Snyder, Michael Melbye, Mads Cell Article 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. Cell Press 2020-06-25 /pmc/articles/PMC7327522/ /pubmed/32589958 http://dx.doi.org/10.1016/j.cell.2020.05.002 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Liang, Liang
Rasmussen, Marie-Louise Hee
Piening, Brian
Shen, Xiaotao
Chen, Songjie
Röst, Hannes
Snyder, John K.
Tibshirani, Robert
Skotte, Line
Lee, Norman CY.
Contrepois, Kévin
Feenstra, Bjarke
Zackriah, Hanyah
Snyder, Michael
Melbye, Mads
Metabolic Dynamics and Prediction of Gestational Age and Time to Delivery in Pregnant Women
title Metabolic Dynamics and Prediction of Gestational Age and Time to Delivery in Pregnant Women
title_full Metabolic Dynamics and Prediction of Gestational Age and Time to Delivery in Pregnant Women
title_fullStr Metabolic Dynamics and Prediction of Gestational Age and Time to Delivery in Pregnant Women
title_full_unstemmed Metabolic Dynamics and Prediction of Gestational Age and Time to Delivery in Pregnant Women
title_short Metabolic Dynamics and Prediction of Gestational Age and Time to Delivery in Pregnant Women
title_sort metabolic dynamics and prediction of gestational age and time to delivery in pregnant women
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327522/
https://www.ncbi.nlm.nih.gov/pubmed/32589958
http://dx.doi.org/10.1016/j.cell.2020.05.002
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