Literature DB >> 19524295

Placental glycogen stores are increased in mice with H19 null mutations but not in those with insulin or IGF type 1 receptor mutations.

Diego R Esquiliano1, Weihui Guo, Li Liang, Pieter Dikkes, Mary Frances Lopez.   

Abstract

The function of glycogen in the placenta remains controversial. Whether it is used as a source of fuel for placental consumption or by the fetus in times of need has yet to be determined. Two imprinted genes, insulin-like growth factor 2 (Igf2) and H19 are highly expressed in the placenta. We have previously demonstrated that mice with Igf2 deficiency have lower levels of placental glycogen. In this study, we used mice with targeted disruption of the H19 gene (H19(-/-)) to determine the importance of Igf2 over-expression in placental growth and glycogen stores. In addition, since Igf2 mediates most of its functions by signaling through the insulin and/or IGF Type 1 receptors, we determined whether gene deletions to these receptors could affect placental glycogen stores. Our data demonstrate that placentas from H19(-/-) mice are heavier, have higher number of glycogen cells, and contain larger glycogen concentrations than those of H19(+/+) mice. No differences in GSK-3, ERK, or total Akt expression or phosphorylation were found between genotypes; however, Akt1 protein expression levels were significantly increased in H19(-/-) placentas. Results obtained from insulin receptor or IGF Type 1 receptor mutant mice did not show differences in placental glycogen content compared to their wild-type littermates, supporting the notion of a specific placental Igf2 receptor. Taken together, these results support a role for Igf2 and Akt1, but not the insulin nor the IGF Type 1 receptors, in the regulation of placental growth and glycogen metabolism.

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Year:  2009        PMID: 19524295      PMCID: PMC4695223          DOI: 10.1016/j.placenta.2009.05.004

Source DB:  PubMed          Journal:  Placenta        ISSN: 0143-4004            Impact factor:   3.481


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  18 in total

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Authors:  Abhijeet Sharma; Lauretta A Lacko; Lissenya B Argueta; Michael D Glendinning; Heidi Stuhlmann
Journal:  Dev Biol       Date:  2019-02-14       Impact factor: 3.582

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Authors:  Li-Li Yu; Kai Chang; Lin-Shan Lu; Dan Zhao; Jian Han; Ying-Ru Zheng; Yao-Hua Yan; Ping Yi; Jian-Xin Guo; Yuan-Guo Zhou; Ming Chen; Li Li
Journal:  BMC Cell Biol       Date:  2013-05-27       Impact factor: 4.241

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