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Metabolic dynamics and prediction og gestational ange and time to delivery in pregant women

ABSTRACT: Metabolism during pregnancy is a constantly changing yet precisely programmed process, the failure of which may have devastating consequences for the fetus. To capture in high resolution the sequence of metabolic events underlying the normal human pregnancy, we carried out an untargeted metabolome investigation on 784 weekly blood samples collected from 30 Danish pregnant women. The study revealed extensive metabolome alterations over the course of normal pregnancy: of 9,651 detected metabolic features, 4,995 were significantly changed (FDR < 0.05). Many metabolic changes were timed precisely according to pregnancy progression so that the overall metabolic profile demonstrated a highly choreographed pattern. Using machine-learning methods, we were able to build a linear models with five metabolites (four steroids and one phospholipid) that predicts gestational age with high accuracy (Pearson correlation coefficient, R = 0.95).

ORGANISM(S): Human Homo Sapiens

TISSUE(S): Blood

SUBMITTER: Liang Liang

PROVIDER: ST001430 | MetabolomicsWorkbench | Fri Aug 30 00:00:00 BST 2019

REPOSITORIES: MetabolomicsWorkbench

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