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Regulation of skeletal muscle PPAR delta mRNA expression in twins

På svenska

Author

Summary, in English

Peroxisome proliferator-activated receptors (PPARs) are nuclear receptors regulating the expression of genes involved in lipid and glucose metabolism in a complex and to some extent unknown manner. Our aim was to study the impact of different factors on PPAR delta mRNA expression in human skeletal muscle on one side, and the impact of PPAR delta mRNA expression on these factors, including glucose and lipid metabolism, aerobic capacity, fibre type composition and lipid profile, on the other side. PPAR delta mRNA levels were quantified by real-time PCR in muscle biopsies from 176 young and elderly monozygotic and dizygotic twins. Young twins had significantly increased PPAR delta mRNA levels compared with elderly twins. A 2 h hyperinsulinaemic euglycaemic clamp had no significant effect on PPAR delta mRNA levels. Biometric models were calculated for basal PPAR delta mRNA expression to estimate the degree of genetic versus environmental influence. In both young and elderly twins there was a substantial genetic component influencing basal PPAR delta mRNA levels. In a regression model, the muscle PPAR delta mRNA expression was correlated to birth weight, central adiposity and age. The level of PPAR delta mRNA was also positively correlated with markers for oxidative muscle fibres. However, in this apparently healthy study population, we found no correlations between PPAR delta mRNA expression and aerobic capacity, lipid profile or glucose and lipid metabolism. In conclusion, we provide evidence that mRNA expression of PPAR delta in human skeletal muscle is under genetic control but also influenced by factors such as age, birth weight and central adiposity.

Department/s

Publishing year

2007

Language

English

Pages

1011-1017

Publication/Series

Journal of Physiology

Volume

584

Issue

3

Document type

Journal article

Publisher

The Physiological Society

Topic

  • Physiology

Status

Published

Research group

  • Genomics, Diabetes and Endocrinology
  • Diabetes - Clinical Obesity

ISBN/ISSN/Other

  • ISSN: 1469-7793