Regulation of circadian behaviour and metabolism by synthetic REV-ERB agonists
- PMID: 22460951
- PMCID: PMC3343186
- DOI: 10.1038/nature11030
Regulation of circadian behaviour and metabolism by synthetic REV-ERB agonists
Abstract
Synchronizing rhythms of behaviour and metabolic processes is important for cardiovascular health and preventing metabolic diseases. The nuclear receptors REV-ERB-α and REV-ERB-β have an integral role in regulating the expression of core clock proteins driving rhythms in activity and metabolism. Here we describe the identification of potent synthetic REV-ERB agonists with in vivo activity. Administration of synthetic REV-ERB ligands alters circadian behaviour and the circadian pattern of core clock gene expression in the hypothalami of mice. The circadian pattern of expression of an array of metabolic genes in the liver, skeletal muscle and adipose tissue was also altered, resulting in increased energy expenditure. Treatment of diet-induced obese mice with a REV-ERB agonist decreased obesity by reducing fat mass and markedly improving dyslipidaemia and hyperglycaemia. These results indicate that synthetic REV-ERB ligands that pharmacologically target the circadian rhythm may be beneficial in the treatment of sleep disorders as well as metabolic diseases.
Conflict of interest statement
The authors declare no competing financial interests.
Figures





Comment in
-
Drug discovery: Time in a bottle.Nature. 2012 May 2;485(7396):45-6. doi: 10.1038/485045a. Nature. 2012. PMID: 22552089 No abstract available.
References
-
- Ko CH, Takahashi JS. Molecular components of the mammalian circadian clock. Human Molecular Genetics. 2006;15:R271–R277. - PubMed
-
- Preitner N, et al. The orphan nuclear receptor rev-erb alpha controls circadian transcription within the positive limb of the mammalian circadian oscillator. Cell. 2002;110 (2):251–260. - PubMed
Publication types
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
Chemical Information
Molecular Biology Databases