Skip to main content
Metabolic Dynamics and Prediction of Gestational Age and Time to Delivery in Pregnant Women.
  • Liang Liang
  • Marie-Louise Hee Rasmussen
  • Brian D. Piening, Molecular Genomics Laboratory, Providence Portland Medical Center, Portland, OR; Earle A. Chiles Research Institute, Robert W. Franz Cancer Research Center, Providence Portland Cancer Center, Portland, OR.
  • Xiaotao Shen
  • Songjie Chen
  • Hannes Röst
  • John K Snyder
  • Robert Tibshirani
  • Line Skotte
  • Norman Cy Lee
  • Kévin Contrepois
  • Bjarke Feenstra
  • Hanyah Zackriah
  • Michael Snyder
  • Mads Melbye
Document Type
Publication Date

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.

Clinical Institute
Women & Children
Obstetrics & Gynecology
Earle A. Chiles Research Institute
Citation Information
Liang Liang, Marie-Louise Hee Rasmussen, Brian D. Piening, Xiaotao Shen, et al.. "Metabolic Dynamics and Prediction of Gestational Age and Time to Delivery in Pregnant Women." Cell (2020)
Available at: