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

Int. J. Mol. Sci. 21:9647 (2020)
Verlagsversion DOI
Open Access Gold
Creative Commons Lizenzvertrag
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.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Gestational Diabetes ; Intergenerational Metabolomics ; Lifestyle ; Overweight; Insulin Sensitivity Indexes; Glucose-tolerance Test; Physical-activity; Obese Children; Risk; Questionnaire; Validation
ISSN (print) / ISBN 1422-0067
e-ISSN 1661-6596
Quellenangaben Band: 21, Heft: 24, Seiten: , Artikelnummer: 9647 Supplement: ,
Verlag MDPI
Verlagsort Basel
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Diabetes Research Type 1 (IDF)
Molekulare Endokrinologie und Metabolismus (MEM)
Institute of Computational Biology (ICB)
Förderungen Institute of Diabetes Research, Helmholtz Zentrum Munchen, Neuherberg, Germany
German Center for Diabetes Research (DZD e.V.)
European Union's Horizon 2020 research and innovation programme
H2020 Joint Programming Initiative a Healthy Diet for a Healthy Life (JPI HDHL)
German Federal Ministry of Education and Research