The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Paternal obesity is associated with IGF2hypomethylation in newborns: results from a Newborn Epigenetics Study (NEST) cohort
Open accessAbstract
BACKGROUND: Data from epidemiological and animal model studies suggest that nutrition during pregnancy may affect the health status of subsequent generations. These transgenerational effects are now being explained by disruptions at the level of the epigenetic machinery. Besides in vitro environmental exposures, the possible impact on the reprogramming of methylation profiles at imprinted genes at a much earlier time point, such as during spermatogenesis or oogenesis, has not previously been considered. In this study, our aim was to determine associations between preconceptional obesity and DNA methylation profiles in the offspring, particularly at the differentially methylated regions (DMRs) of the imprinted Insulin-like Growth Factor 2 (IGF2) gene. METHODS: We examined DNA from umbilical cord blood leukocytes from 79 newborns, born between July 2005 and November 2006 at Duke University Hospital, Durham, NC. Their mothers participated in the Newborn Epigenetics Study (NEST) during pregnancy. Parental characteristics were obtained via standardized questionnaires and medical records. DNA methylation patterns at two DMRs were analyzed by bisulfite pyrosequencing; one DMR upstream of IGF2 (IGF2 DMR), and one DMR upstream of the neighboring H19 gene (H19 DMR). Multiple regression models were used to determine potential associations between the offspring's DNA methylation patterns and parental obesity before conception. Obesity was defined as body mass index (BMI) ≥30 kg/m². RESULTS: Hypomethylation at the IGF2 DMR was associated with paternal obesity. Even after adjusting for several maternal and newborn characteristics, we observed a persistent inverse association between DNA methylation in the offspring and paternal obesity (β-coefficient was -5.28, P = 0.003). At the H19 DMR, no significant associations were detected between methylation patterns and paternal obesity. Our data suggest an increase in DNA methylation at the IGF2 and H19 DMRs among newborns from obese mothers, but a larger study is warranted to further explore the potential effects of maternal obesity or lifestyle on the offspring's epigenome. CONCLUSIONS: While our small sample size is limited, our data indicate a preconceptional impact of paternal obesity on the reprogramming of imprint marks during spermatogenesis. Given the biological importance of imprinting fidelity, our study provides evidence for transgenerational effects of paternal obesity that may influence the offspring's future health status.
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Cites
Environmental epigenomics and disease susceptibility
Jirtle, R. L., & Skinner, M. K. (2007) · Nature Reviews Genetics · doi:10.1038/nrg2045 · Cited by 2,492
Self-citationTransposable elements: targets for early nutritional effects on epigenetic gene regulation
Waterland, R. A., & Jirtle, R. L. (2003) · Molecular and Cellular Biology · doi:10.1128/mcb.23.15.5293-5300.2003 · Cited by 2,019 · cited 2×
“This can potentially contribute to a higher risk for obesity [11], chronic diseases at later age [12], including diabetes or cardiovascular diseases [13-15], or even cancer [16,17].”
BackgroundObesity in Young Men after Famine Exposure in Utero and Early Infancy
Ravelli, G.-P., Stein, Z. A., & Susser, M. W. (1976) · New England Journal of Medicine · doi:10.1056/nejm197608122950701 · Cited by 1,647
Chronic high-fat diet in fathers programs β-cell dysfunction in female rat offspring
Ng, S.-F., Lin, R. C. Y., Laybutt, D. R., Barres, R., Owens, J. A., & Morris, M. J. (2010) · Nature · doi:10.1038/nature09491 · Cited by 1,327
Kaati, G., Bygren, L., & Edvinsson, S. (2002) · European Journal of Human Genetics · doi:10.1038/sj.ejhg.5200859 · Cited by 896
Early onset of coronary artery disease after prenatal exposure to the Dutch famine
Painter, R. C., de Rooij, S. R., Bossuyt, P. M., Simmers, T. A., Osmond, C., Barker, D. J., Bleker, O. P., & Roseboom, T. J. (2006) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/84.2.322 · Cited by 392
DNA methylation in metabolic disorders
Barres, R., & Zierath, J. R. (2011) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.110.001933 · Cited by 174
Stein, A. D., Pierik, F. H., Verrips, G. H. W., Susser, E. S., & Lumey, L. H. (2009) · Epidemiology · doi:10.1097/ede.0b013e3181b5f227 · Cited by 103
Pathak, S., D'Souza, R., Ankolkar, M., Gaonkar, R., & Balasinor, N. H. (2010) · Molecular and Cellular Endocrinology · doi:10.1016/j.mce.2009.08.005 · Cited by 40
Cited by
Influence of Maternal Obesity on the Long-Term Health of Offspring
Godfrey, K. M., Reynolds, R. M., Prescott, S. L., Nyirenda, M., Jaddoe, V. W. V., Eriksson, J. G., & Broekman, B. F. P. (2017) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(16)30107-3 · Cited by 1,059
Epigenetics across the human lifespan
Kanherkar, R. R., Bhatia-Dey, N., & Csoka, A. B. (2014) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2014.00049 · Cited by 407
Richmond, R. C., Simpkin, A. J., Woodward, G., Gaunt, T. R., Lyttleton, O., McArdle, W. L., Ring, S. M., Smith, A. D. A. C., Timpson, N. J., Tilling, K., et al. (2015) · Human Molecular Genetics · doi:10.1093/hmg/ddu739 · Cited by 372
Early Life Nutrition, Epigenetics and Programming of Later Life Disease
Vickers, M. (2014) · Nutrients · doi:10.3390/nu6062165 · Cited by 366
Campbell, J. M., Lane, M., Owens, J. A., & Bakos, H. W. (2015) · Reproductive BioMedicine Online · doi:10.1016/j.rbmo.2015.07.012 · Cited by 332
Metadata
- Authors
- Soubry, A., Schildkraut, J. M., Murtha, A., Wang, F., Huang, Z., Bernal, A., Kurtzberg, J., Jirtle, R. L., Murphy, S. K., & Hoyo, C.
- Venue
- BMC Medicine
- Published
- 2013-02-06
- Volume
- 11
- Issue
- 1
- Pages
- 29-29
- ISSN
- 1741-7015 (ISSN-L)
- OpenAlex
- W2125620273
- Cited by
- 354
- References
- 9
- FWCI
- 24.28
- Type
- journal article
- Language
- en
- Open access
- gold
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- Soubry, A., Schildkraut, J. M., Murtha, A., Wang, F., Huang, Z., Bernal, A., Kurtzberg, J., Jirtle, R. L., Murphy, S. K., & Hoyo, C. (2013). Paternal obesity is associated with IGF2hypomethylation in newborns: results from a Newborn Epigenetics Study (NEST) cohort. BMC Medicine. https://doi.org/10.1186/1741-7015-11-29
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