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Male obesity effects on sperm and next-generation cord blood DNA methylation

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  • Ramya Potabattula
  • Marcus Dittrich
  • Martin Schorsch
  • Thomas Hahn
  • Thomas Haaf
  • Nady El Hajj

Abstract

The prevalence of metabolic disorders, in particular obesity has dramatically increased worldwide. Genetic variants explain only a minor part of the obesity epidemic induced by physical inactivity and over-nutrition. Epidemiological studies in humans and animal models indicate that epigenetic changes associated with adverse parental and/or intrauterine factors may contribute to the missing heritability of metabolic disorders. Possible adverse paternal effects are likely transmitted by sperm to the next-generation. To investigate this hypothesis, we have systematically analyzed the effects of male body mass index (BMI) on sperm epigenome and its association with next-generation fetal cord blood (FCB) DNA methylation. Methylation levels of maternally imprinted (PEG1, PEG4, PEG5, and PEG10), paternally imprinted (H19-IG DMR, IGF2-DMR0, and MEG3-IG DMR) regions, and obesity-related non-imprinted HIF3A gene were quantified by bisulphite pyrosequencing in sperm samples of 294 human donors undergoing in vitro fertilization or intracytoplasmic sperm injection, and in 113 FCBs of the resulting offspring. Multivariable regression analyses revealed that MEG3 intergenic differentially methylated region (IG DMR) showed positive correlation between sperm methylation and donor’s BMI. A gender-specific correlation between paternal BMI and FCB methylation was observed for MEG3-IG DMR, HIF3A, and IGF2-DMR0. The former two genes displayed same directional nominal association (as sperm) between paternal BMI and FCB methylation in male offspring. Hypomethylation of IGF2-DMR0 with increased paternal BMI was observed in FCBs from female offsprings. Our results suggest that male obesity is nominally associated with modification of sperm DNA methylome in humans, which may affect the epigenome of the next-generation. Nevertheless, it is important to note that none of the associated p-values survived multiple testing adjustments. Future work should test the effect of associated methylation aberrations in the offspring as DNA methylation was shown to control expression and/or imprint establishment across the studied genes.

Suggested Citation

  • Ramya Potabattula & Marcus Dittrich & Martin Schorsch & Thomas Hahn & Thomas Haaf & Nady El Hajj, 2019. "Male obesity effects on sperm and next-generation cord blood DNA methylation," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-13, June.
    • Handle: RePEc:plo:pone00:0218615
    DOI: 10.1371/journal.pone.0218615
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    1. Sheau-Fang Ng & Ruby C. Y. Lin & D. Ross Laybutt & Romain Barres & Julie A. Owens & Margaret J. Morris, 2010. "Chronic high-fat diet in fathers programs β-cell dysfunction in female rat offspring," Nature, Nature, vol. 467(7318), pages 963-966, October.
    2. Cribari-Neto, Francisco & Zeileis, Achim, 2010. "Beta Regression in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 34(i02).
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