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Intergenerational metabolomic analysis of mothers with a history of gestational diabetes mellitus and their offspring

  • Raffael Ott
  • , Xenia Pawlow
  • , Andreas Weiß
  • , Anna Hofelich
  • , Melanie Herbst
  • , Nadine Hummel
  • , Cornelia Prehn
  • , Jerzy Adamski
  • , Werner Römisch-Margl
  • , Gabi Kastenmüller
  • , Anette G. Ziegler
  • , Sandra Hummel
  • Technical University of Munich
  • Forschergruppe Diabetes e.V.
  • Helmholtz Zentrum München German Research Center for Environmental Health
  • National University of Singapore
  • German Centre for Diabetes Research (DZD)

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Shared metabolomic patterns at delivery have been suggested to underlie the mother-to-child transmission of adverse metabolic health. This study aimed to investigate whether mothers with gestational diabetes mellitus (GDM) and their offspring show similar metabolomic patterns several years postpartum. Targeted metabolomics (including 137 metabolites) was performed in plasma samples obtained during an oral glucose tolerance test from 48 mothers with GDM and their offspring at a cross-sectional study visit 8 years after delivery. Partial Pearson’s correlations between the area under the curve (AUC) of maternal and offspring metabolites were calculated, yielding so-called Gaussian graphical models. Spearman’s correlations were applied to investigate correlations of body mass index (BMI), Matsuda insulin sensitivity index (ISI-M), dietary intake, and physical activity between generations, and correlations of metabolite AUCs with lifestyle variables. This study revealed that BMI, ISI-M, and the AUC of six metabolites (carnitine, taurine, proline, SM(-OH) C14:1, creatinine, and PC ae C34:3) were significantly correlated between mothers and offspring several years postpartum. Intergenerational metabolite correlations were independent of shared BMI, ISI-M, age, sex, and all other metabolites. Furthermore, creatinine was correlated with physical activity in mothers. This study suggests that there is long-term metabolic programming in the offspring of mothers with GDM and informs us about targets that could be addressed by future intervention studies.

Original languageEnglish
Article number9647
Pages (from-to)1-23
Number of pages23
JournalInternational Journal of Molecular Sciences
Volume21
Issue number24
DOIs
StatePublished - 2 Dec 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 5 - Gender Equality
    SDG 5 Gender Equality

Keywords

  • Gestational diabetes
  • Intergenerational metabolomics
  • Lifestyle
  • Overweight

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