Metabolic Dynamics and Prediction of Gestational Age and Time to Delivery in Pregnant Women

• Published in: Cell Vol. 181; no. 7; pp. 1680 - 1692.e15
• Main Authors: 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
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 25.06.2020; Cell Press
• Subjects: Adult; biochemical pathways; Biomarkers - blood; blood sampling; delivery prediction; Female; fetus; Fetus - metabolism; Gestational Age; human pregnancy; Humans; linear models; longitudinal profiling; machine learning; metabolic clock; Metabolic Networks and Pathways - physiology; metabolic pathways; metabolism; metabolites; metabolome; Metabolome - physiology; metabolomics; Metabolomics - methods; parturition; prediction; pregnancy; Pregnancy - metabolism; Pregnant Women; ultrasonics; delivery prediction; metabolic clock; metabolomics; gestational age; machine learning; human pregnancy; metabolic pathways; longitudinal profiling

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...