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Diabetologia

pp 1–14 | Cite as

Associations of maternal type 1 diabetes with childhood adiposity and metabolic health in the offspring: a prospective cohort study

  • Anitha Pitchika
  • Manja Jolink
  • Christiane Winkler
  • Sandra Hummel
  • Nadine Hummel
  • Jan Krumsiek
  • Gabi Kastenmüller
  • Jennifer Raab
  • Olga Kordonouri
  • Anette-Gabriele Ziegler
  • Andreas Beyerlein
Article
  • 6 Downloads

Abstract

Aims/hypothesis

Exposure to an intrauterine hyperglycaemic environment has been suggested to increase the offspring’s later risk for being overweight or having metabolic abnormalities, but conclusive evidence for pregnancies affected by maternal type 1 diabetes is still lacking. This study aims to analyse the relationship between maternal type 1 diabetes and the offspring’s metabolic health and investigate whether birthweight and/or changes in the offspring’s metabolome are in the potential pathway.

Methods

We analysed data from 610 and 2169 offspring having a first-degree relative with type 1 diabetes from the TEENDIAB and BABYDIAB/BABYDIET cohorts, respectively. Anthropometric and metabolic outcomes, assessed longitudinally at 0.3–18 years of age, were compared between offspring of mothers with type 1 diabetes and offspring of non-diabetic mothers but with fathers or siblings with type 1 diabetes using mixed regression models. Non-targeted metabolomic measurements were carried out in 500 individuals from TEENDIAB and analysed with maternal type 1 diabetes and offspring overweight status.

Results

The offspring of mothers with type 1 diabetes had a higher BMI SD score (SDS) and an increased risk for being overweight than the offspring of non-diabetic mothers (e.g. OR for overweight status in TEENDIAB 2.40 [95% CI 1.41, 4.06]). Further, waist circumference SDS, fasting levels of glucose, insulin and C-peptide, and insulin resistance and abdominal obesity were significantly increased in the offspring of mothers with type 1 diabetes, even when adjusted for potential confounders and birthweight. Metabolite patterns related to androgenic steroids and branched-chain amino acids were found to be associated with offspring’s overweight status, but no significant associations were observed between maternal type 1 diabetes and metabolite concentrations in the offspring.

Conclusions/interpretation

Maternal type 1 diabetes is associated with offspring’s overweight status and metabolic health in later life, but this is unlikely to be caused by alterations in the offspring’s metabolome.

Keywords

Birthweight Maternal type 1 diabetes Offspring metabolic health Offspring metabolome Offspring overweight 

Abbreviations

BCAA

Branched-chain amino acid

DII

Dietary inflammatory index

SDS

Standard deviation score

Notes

Acknowledgements

We thank L. Lachmann, C. Matzke, J. Stock, S. Krause, A. Knopff, F. Haupt, M. Pflüger, M. Scholz, A. Gavrisan, S. Schneider, K. Remus, S. Biester (Bläsig), E. Sadeghian and A. Bokelmann for data collection and expert technical assistance. We also thank all families participating in the BABYDIAB/BABYDIET and TEENDIAB studies and also all paediatricians, diabetologists and family doctors in Germany for recruitment and continuous support.

Contribution statement

AP reviewed data, undertook statistical analysis, interpreted results and wrote the first and final draft of the manuscript together with AB. MJ contributed to data management and statistical analysis and reviewed the manuscript. CW, SH, NH, JR and OK acquired data and reviewed the manuscript. JK and GK interpreted results and reviewed the manuscript. A-GZ is the principal investigator of the BABYDIAB/BABYDIET and TEENDIAB studies, designed the studies and concept, interpreted the results and critically reviewed the manuscript for intellectual content. All authors approved the final version of the manuscript. A-GZ is the guarantor of this work.

Funding

The work was supported by grants from the Competence Network for Diabetes Mellitus (Kompetenznetz Diabetes Mellitus) funded by the Federal Ministry of Education and Research (FKZ 01GI0805-07), JDRF (JDRF-No 17-2012-16, JDRF-No 2-SRA-2015-13-Q-R) and the European Union’s HORIZON 2020 research and innovation programme (grant agreement number 633595 DynaHEALTH). This work was supported by iMed, the Helmholtz Initiative on Personalized Medicine.

Duality of interest

The authors declare that there is no duality of interest associated with this manuscript.

Supplementary material

125_2018_4688_MOESM1_ESM.pdf (1.1 mb)
ESM (PDF 1091 kb)

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Anitha Pitchika
    • 1
    • 2
  • Manja Jolink
    • 1
    • 2
  • Christiane Winkler
    • 1
    • 2
    • 3
  • Sandra Hummel
    • 1
    • 2
    • 3
  • Nadine Hummel
    • 1
    • 2
  • Jan Krumsiek
    • 4
    • 5
  • Gabi Kastenmüller
    • 6
  • Jennifer Raab
    • 1
    • 2
  • Olga Kordonouri
    • 7
  • Anette-Gabriele Ziegler
    • 1
    • 2
    • 3
  • Andreas Beyerlein
    • 1
    • 2
    • 4
  1. 1.Institute of Diabetes Research, Helmholtz Zentrum München – German Research Center for Environmental HealthMunich-NeuherbergGermany
  2. 2.Forschergruppe Diabetes, Technical University Munich, Klinikum rechts der IsarMunich-NeuherbergGermany
  3. 3.Forschergruppe Diabetes e.V., Helmholtz Zentrum MünchenMunich-NeuherbergGermany
  4. 4.Institute of Computational Biology, Helmholtz Zentrum MünchenMunich-NeuherbergGermany
  5. 5.German Center for Diabetes Research (DZD)Munich-NeuherbergGermany
  6. 6.Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum MünchenMunich-NeuherbergGermany
  7. 7.Kinder- und Jugendkrankenhaus AUF DER BULTHannoverGermany

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