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Paternal versus maternal transmission of a stimulatory G-protein α subunit knockout produces opposite effects on energy metabolism
Shuhua Yu, Oksana Gavrilova, Hui Chen, Randy Lee, Jie Liu, Karel Pacak, A.F. Parlow, Michael J. Quon, Marc L. Reitman, Lee S. Weinstein
Shuhua Yu, Oksana Gavrilova, Hui Chen, Randy Lee, Jie Liu, Karel Pacak, A.F. Parlow, Michael J. Quon, Marc L. Reitman, Lee S. Weinstein
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Article

Paternal versus maternal transmission of a stimulatory G-protein α subunit knockout produces opposite effects on energy metabolism

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Abstract

Heterozygous disruption of Gnas, the gene encoding the stimulatory G-protein α subunit (Gsα), leads to distinct phenotypes depending on whether the maternal (m–/+) or paternal (+/p–) allele is disrupted. Gsα is imprinted, with the maternal allele preferentially expressed in adipose tissue. Hence, expression is decreased in m–/+ mice but normal in +/p– mice. M–/+ mice become obese, with increased lipid per cell in white and brown adipose tissue, whereas +/p– mice are thin, with decreased lipid in adipose tissue. These effects are not due to abnormalities in thyroid hormone status, food intake, or leptin secretion. +/p– mice are hypermetabolic at both ambient temperature (21° C) and thermoneutrality (30° C). In contrast, m–/+ mice are hypometabolic at ambient temperature and eumetabolic at thermoneutrality M–/+ and wild-type mice have similar dose-response curves for metabolic response to a β3-adrenergic agonist, CL316243, indicating normal sensitivity of adipose tissue to sympathetic stimulation. Measurement of urinary catecholamines suggests that +/p– and m–/+ mice have increased and decreased activation of the sympathetic nervous system, respectively. This is to our knowledge the first animal model in which a single genetic defect leads to opposite effects on energy metabolism depending on parental inheritance. This probably results from deficiency of maternal- and paternal-specific Gnas gene products, respectively.

Authors

Shuhua Yu, Oksana Gavrilova, Hui Chen, Randy Lee, Jie Liu, Karel Pacak, A.F. Parlow, Michael J. Quon, Marc L. Reitman, Lee S. Weinstein

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