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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...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cell Press
2020
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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. |
format | Online Article Text |
id | pubmed-7327522 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Cell Press |
record_format | MEDLINE/PubMed |
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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