| Literature DB >> 33348910 |
Raffael Ott1,2, Xenia Pawlow1,2, Andreas Weiß1,2, Anna Hofelich1,2, Melanie Herbst1,2, Nadine Hummel1, Cornelia Prehn3, Jerzy Adamski3,4,5,6, Werner Römisch-Margl6,7, Gabi Kastenmüller6,7, Anette-G Ziegler1,2,6, Sandra Hummel1,2,6.
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.Entities:
Keywords: gestational diabetes; intergenerational metabolomics; lifestyle; overweight
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Year: 2020 PMID: 33348910 PMCID: PMC7766614 DOI: 10.3390/ijms21249647
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923