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Usage Information

Multiple environmental and genetic factors influence skeletal muscle PGC-1α and PGC-1β gene expression in twins
Charlotte Ling, … , Leif Groop, Allan Vaag
Charlotte Ling, … , Leif Groop, Allan Vaag
Published November 15, 2004
Citation Information: J Clin Invest. 2004;114(10):1518-1526. https://doi.org/10.1172/JCI21889.
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Article Metabolism

Multiple environmental and genetic factors influence skeletal muscle PGC-1α and PGC-1β gene expression in twins

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Abstract

Genetic and environmental factors contribute to age-dependent susceptibility to type 2 diabetes. Recent studies have reported reduced expression of PPARγ coactivator 1α (PGC-1α) and PGC-1β genes in skeletal muscle from type 2 diabetic patients, but it is not known whether this is an inherited or acquired defect. To address this question we studied expression of these genes in muscle biopsies obtained from young and elderly dizygotic and monozygotic twins without known diabetes before and after insulin stimulation and related the expression to a Gly482Ser variant in the PGC-1α gene. Insulin increased and aging reduced skeletal muscle PGC-1α and PGC-1β mRNA levels. This age-dependent decrease in muscle gene expression was partially heritable and influenced by the PGC-1α Gly482Ser polymorphism. In addition, sex, birth weight, and aerobic capacity influenced expression of PGC-1α in a complex fashion. Whereas expression of PGC-1α in muscle was positively related to insulin-stimulated glucose uptake and oxidation, PGC-1β expression was positively related to fat oxidation and nonoxidative glucose metabolism. We conclude that skeletal muscle PGC-1α and PGC-1β expression are stimulated by insulin and reduced by aging. The data also suggest different regulatory functions for PGC-1α and PGC-1β on glucose and fat oxidation in muscle cells. The finding that the age-dependent decrease in the expression of these key genes regulating oxidative phosphorylation is under genetic control could provide an explanation by which an environmental trigger (age) modifies genetic susceptibility to type 2 diabetes.

Authors

Charlotte Ling, Pernille Poulsen, Emma Carlsson, Martin Ridderstråle, Peter Almgren, Jørgen Wojtaszewski, Henning Beck-Nielsen, Leif Groop, Allan Vaag

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Usage data is cumulative from June 2024 through June 2025.

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Figure 160 3
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Citation downloads 84 0
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Total Views 1,634
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