Liver X Receptor α Is a Transcriptional Repressor of the Uncoupling Protein 1 Gene and the Brown Fat Phenotype

Haibo Wang(China Medical University), Yuan Zhang(Howard Hughes Medical Institute), Einav Yehuda‐Shnaidman(The Hamner Institutes for Health Sciences), Alexander V. Medvedev(Duke Medical Center), Naresh Kumar(The Hamner Institutes for Health Sciences), Kiefer W. Daniel(Duke University Hospital), Jacques Robidoux(The Hamner Institutes for Health Sciences), Michael Czech(University of Massachusetts Chan Medical School), David J. Mangelsdorf(The University of Texas Southwestern Medical Center), Sheila Collins(The Hamner Institutes for Health Sciences)
Molecular and Cellular Biology
January 15, 2008
Cited by 98Open Access
Full Text

Abstract

The adipocyte integrates crucial information about metabolic needs in order to balance energy intake, storage, and expenditure. Whereas white adipose tissue stores energy, brown adipose tissue is a major site of energy dissipation through adaptive thermogenesis mediated by uncoupling protein 1 (UCP1) in mammals. In both white and brown adipose tissue, nuclear receptors and their coregulators, such as peroxisome proliferator-activated receptor gamma (PPARgamma) and PPARgamma coactivator 1alpha (PGC-1alpha), play key roles in regulating their development and metabolic functions. Here we show the unexpected role of liver X receptor alpha (LXRalpha) as a direct transcriptional inhibitor of beta-adrenergic receptor-mediated, cyclic AMP-dependent Ucp1 gene expression through its binding to the critical enhancer region of the Ucp1 promoter. The mechanism of inhibition involves the differential recruitment of the corepressor RIP140 to an LXRalpha binding site that overlaps with the PPARgamma/PGC-1alpha response element, resulting in the dismissal of PPARgamma. The ability of LXRalpha to dampen energy expenditure in this way provides another mechanism for maintaining a balance between energy storage and utilization.


Related Papers

No related papers found

Powered by citation graph analysis