Literature DB >> 33348910

Intergenerational Metabolomic Analysis of Mothers with a History of Gestational Diabetes Mellitus and Their Offspring.

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

Mesh:

Substances:

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


  39 in total

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Journal:  Genome Res       Date:  2003-11       Impact factor: 9.043

2.  Developing a methodology for assigning glycaemic index values to foods consumed across Europe.

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Review 3.  Metabolomics and Metabolic Diseases: Where Do We Stand?

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Review 4.  The physiological and pathophysiological roles of taurine in adipose tissue in relation to obesity.

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5.  Metabolomic profiling in the prediction of gestational diabetes mellitus.

Authors:  Rhonda Bentley-Lewis; Jennifer Huynh; Grace Xiong; Hang Lee; Julia Wenger; Clary Clish; David Nathan; Ravi Thadhani; Robert Gerszten
Journal:  Diabetologia       Date:  2015-03-07       Impact factor: 10.122

6.  Increased levels of plasma acylcarnitines in obesity and type 2 diabetes and identification of a marker of glucolipotoxicity.

Authors:  Stephanie J Mihalik; Bret H Goodpaster; David E Kelley; Donald H Chace; Jerry Vockley; Frederico G S Toledo; James P DeLany
Journal:  Obesity (Silver Spring)       Date:  2010-01-28       Impact factor: 5.002

7.  Adherence to a DASH-style diet and risk of coronary heart disease and stroke in women.

Authors:  Teresa T Fung; Stephanie E Chiuve; Marjorie L McCullough; Kathryn M Rexrode; Giancarlo Logroscino; Frank B Hu
Journal:  Arch Intern Med       Date:  2008-04-14

8.  Fetal Genotype and Maternal Glucose Have Independent and Additive Effects on Birth Weight.

Authors:  Alice E Hughes; Michael Nodzenski; Robin N Beaumont; Octavious Talbot; Beverley M Shields; Denise M Scholtens; Bridget A Knight; William L Lowe; Andrew T Hattersley; Rachel M Freathy
Journal:  Diabetes       Date:  2018-02-20       Impact factor: 9.461

9.  High-throughput extraction and quantification method for targeted metabolomics in murine tissues.

Authors:  Sven Zukunft; Cornelia Prehn; Cornelia Röhring; Gabriele Möller; Martin Hrabě de Angelis; Jerzy Adamski; Janina Tokarz
Journal:  Metabolomics       Date:  2017-12-30       Impact factor: 4.290

10.  Comparison of metabolite networks from four German population-based studies.

Authors:  Khalid Iqbal; Stefan Dietrich; Clemens Wittenbecher; Jan Krumsiek; Tilman Kühn; Maria Elena Lacruz; Alexander Kluttig; Cornelia Prehn; Jerzy Adamski; Martin von Bergen; Rudolf Kaaks; Matthias B Schulze; Heiner Boeing; Anna Floegel
Journal:  Int J Epidemiol       Date:  2018-12-01       Impact factor: 7.196

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  2 in total

1.  The Significance of Exposure to Pregestational Type 2 Diabetes in Utero on Fetal Renal Size and Subcutaneous Fat Thickness.

Authors:  Christy L Pylypjuk; Chelsea Day; Yasmine ElSalakawy; Gregory J Reid
Journal:  Int J Nephrol       Date:  2022-06-30

Review 2.  Developmental Effects of (Pre-)Gestational Diabetes on Offspring: Systematic Screening Using Omics Approaches.

Authors:  Bachuki Shashikadze; Florian Flenkenthaler; Jan B Stöckl; Libera Valla; Simone Renner; Elisabeth Kemter; Eckhard Wolf; Thomas Fröhlich
Journal:  Genes (Basel)       Date:  2021-12-15       Impact factor: 4.096

  2 in total

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