Urine Metabolomics Reveals Overlapping Metabolic Associations Between Preeclampsia and Gestational Diabetes

Nupur Rani Agarwal1, Garima Kachhawa2, Bolaji Fatai Oyeyemi1,3

  • 1Transcription Regulation Group, International Centre for Genetic Engineering and Biotechnology (ICGEB), Aruna Asaf Ali Marg, New Delhi, 110067 India.

Insights

This study compared urine metabolomics in normal pregnancy, preeclampsia, and gestational diabetes. Overlapping metabolic changes were found in preeclampsia and gestational diabetes, suggesting potential biomarkers for early detection.

Area of Science:

  • Metabolomics
  • Obstetrics
  • Biochemistry

Background:

  • Pregnancy involves significant metabolic adaptations.
  • Preeclampsia (PE) and gestational diabetes (GDM) are obstetric conditions that perturb these adaptations.
  • PE and GDM share overlapping pathophysiology and biochemical dysregulation.

Purpose of the Study:

  • To compare the urine metabolome of women with PE and GDM against normal pregnancy (NT) across all trimesters.
  • To identify differential metabolites and perturbed metabolic pathways in PE and GDM.
  • To explore the potential of urine metabolomics for early detection of these conditions.

Main Methods:

  • Utilized nuclear magnetic resonance (NMR) spectroscopy-based metabolomics analysis.
  • Analyzed urine samples from pregnant women in normal pregnancy, PE, and GDM groups across all trimesters.
  • Compared metabolomic profiles to identify significant differences.

Main Results:

  • Observed overlapping metabolic perturbations in both PE and GDM compared to NT.
  • Identified significantly differential urinary metabolites: decreased dimethylglycine and oxoglutaric acid, increased benzoic acid in both PE and GDM.
  • Found perturbed pathways including alanine, aspartate, glutamate metabolism, aminoacyl-tRNA biosynthesis, citrate, and butanoate metabolism.

Conclusions:

  • Urine metabolome reflects shared metabolic alterations in PE and GDM.
  • Specific metabolites and pathways are associated with energy metabolism, glucose homeostasis, and insulin sensitivity in these conditions.
  • Urine metabolomics holds potential for identifying biomarkers for early detection of PE and GDM.

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