Urinary metabolomic profile of neonates born to women with gestational diabetes mellitus

Ana Sofía Herrera Van Oostdam, Mariana Salgado-Bustamante, Victoria Lima-Rogel, Juan José Oropeza-Valdez, Jesús Adrián López, Iván Daniel Román Rodríguez, Juan Carlos Toro-Ortiz, David Alejandro Herrera Van Oostdam, Yamilé López-Hernández, Joel Monárrez-Espino

Research output: Contribution to journalArticlepeer-review

Abstract

Gestational diabetes mellitus (GDM) is one of the most frequent pregnancy complications with potential adverse outcomes for mothers and newborns. Its effects on the newborn appear during the neonatal period or early childhood. Therefore, an early diagnosis is crucial to prevent the development of chronic diseases later in adult life. In this study, the urinary metabolome of babies born to GDM mothers was characterized. In total, 144 neonatal and maternal (second and third trimesters of pregnancy) urinary samples were analyzed using targeted metabolomics, com-bining liquid chromatographic mass spectrometry (LC-MS/MS) and flow injection analysis mass spectrometry (FIA-MS/MS) techniques. We provide here the neonatal urinary concentration values of 101 metabolites for 26 newborns born to GDM mothers and 22 newborns born to healthy mothers. The univariate analysis of these metabolites revealed statistical differences in 11 metabolites. Multi-variate analyses revealed a differential metabolic profile in newborns of GDM mothers characterized by dysregulation of acylcarnitines, amino acids, and polyamine metabolism. Levels of hexadecenoyl-carnitine (C16:1) and spermine were also higher in newborns of GDM mothers. The maternal urinary metabolome revealed significant differences in butyric, isobutyric, and uric acid in the second and third trimesters of pregnancy. These metabolic alterations point to the impact of GDM in the neonatal period.

Original languageEnglish
Article number723
JournalMetabolites
Volume11
Issue number11
DOIs
Publication statusPublished - Nov 2021

Bibliographical note

Funding Information:
Funding: This research was funded by CONACyT 290239 and CONACyT 316258.

Funding Information:
This research was funded by CONACyT 290239 and CONACyT 316258. The authors wish to thank The Metabolomic Innovation Center, University of Alberta, Canada, for their support in the sample analysis. Special thanks to David S. Wishart and Rupasri Mandal.

Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.

All Science Journal Classification (ASJC) codes

  • Endocrinology, Diabetes and Metabolism
  • Biochemistry
  • Molecular Biology

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