Evidence map›Paper›PMID 33348910›Full record

ArticleInternational journal of molecular sciences2020

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 and 2 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.3field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 11 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 2 countries.

Raffael OttInstitute of Diabetes Research, Helmholtz Zentrum München, and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, 85764 Neuherberg, Germany.ORCID 0000-0002-5178-1033
Xenia PawlowInstitute of Diabetes Research, Helmholtz Zentrum München, and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, 85764 Neuherberg, Germany.
Andreas WeißInstitute of Diabetes Research, Helmholtz Zentrum München, and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, 85764 Neuherberg, Germany.
Anna HofelichInstitute of Diabetes Research, Helmholtz Zentrum München, and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, 85764 Neuherberg, Germany.
Melanie HerbstInstitute of Diabetes Research, Helmholtz Zentrum München, and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, 85764 Neuherberg, Germany.
Nadine HummelInstitute of Diabetes Research, Helmholtz Zentrum München, and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, 85764 Neuherberg, Germany.
Cornelia PrehnResearch Unit Molecular Endocrinology and Metabolism, Genome Analysis Center, Helmholtz Zentrum München, 85764 Neuherberg, Germany.ORCID 0000-0002-1274-4715
Jerzy AdamskiResearch Unit Molecular Endocrinology and Metabolism, Genome Analysis Center, Helmholtz Zentrum München, 85764 Neuherberg, Germany.ORCID 0000-0001-9259-0199
Werner Römisch-MarglGerman Center for Diabetes Research (DZD), München-Neuherberg, 85764 Neuherberg, Germany.ORCID 0000-0001-9345-4279
Gabi KastenmüllerGerman Center for Diabetes Research (DZD), München-Neuherberg, 85764 Neuherberg, Germany.
Anette-G ZieglerInstitute of Diabetes Research, Helmholtz Zentrum München, and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, 85764 Neuherberg, Germany.
Sandra HummelInstitute of Diabetes Research, Helmholtz Zentrum München, and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, 85764 Neuherberg, Germany.ORCID 0000-0001-6554-5974
TUM Klinikum · DEHelmholtz Zentrum München · DENational University of Singapore · SG

Funding

Bundesministerium für Bildung und Forschung 01EA1905Bundesministerium für Bildung und Forschung 01KX1818Horizon 2020 633595Joint Programming Initiative A healthy diet for a healthy life 655Medical Research Council MR/S03658X/1
6 · The paper itself

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.

Indexed as

Birth WeightInfectious Disease Transmission, VerticalMetabolomeAdultBlood GlucoseChildCross-Sectional StudiesDiabetes, GestationalFemaleHumansMaleMothersObesityPregnancyRisk FactorsBlood Glucosegestational diabetesintergenerational metabolomicslifestyleoverweight

Identifiers

PMID33348910
PMCPMC7766614
OpenAlexW3112184555

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.