Metabolic dynamics and prediction of gestational age and time to delivery in pregnant women

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…

Publication
Cell
Dr. Liang Liang
Dr. Liang Liang
Research Scientist
Stanford University
Xiaotao Shen
Xiaotao Shen
Research Scientist

Metabolomics, Multi-omics, Bioinformatics, Systems Biology.

Dr. Songjie Chen
Dr. Songjie Chen
Research Scientist
Merck
Prof. Michael Snyder
Prof. Michael Snyder
Professor
Stanford University