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Feeding Period Restriction Alters the Expression of Peripheral Circadian Rhythm Genes without Changing Body Weight in Mice

Overview of attention for article published in PLOS ONE, November 2012
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Title
Feeding Period Restriction Alters the Expression of Peripheral Circadian Rhythm Genes without Changing Body Weight in Mice
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0049993
Pubmed ID
Authors

Hagoon Jang, Gung Lee, Jinuk Kong, Goun Choi, Yoon Jeong Park, Jae Bum Kim

Abstract

Accumulating evidence suggests that the circadian clock is closely associated with metabolic regulation. However, whether an impaired circadian clock is a direct cause of metabolic dysregulation such as body weight gain is not clearly understood. In this study, we demonstrate that body weight gain in mice is not significantly changed by restricting feeding period to daytime or nighttime. The expression of peripheral circadian clock genes was altered by feeding period restriction, while the expression of light-regulated hypothalamic circadian clock genes was unaffected by either a normal chow diet (NCD) or a high-fat diet (HFD). In the liver, the expression pattern of circadian clock genes, including Bmal1, Clock, and Per2, was changed by different feeding period restrictions. Moreover, the expression of lipogenic genes, gluconeogenic genes, and fatty acid oxidation-related genes in the liver was also altered by feeding period restriction. Given that feeding period restriction does not affect body weight gain with a NCD or HFD, it is likely that the amount of food consumed might be a crucial factor in determining body weight. Collectively, these data suggest that feeding period restriction modulates the expression of peripheral circadian clock genes, which is uncoupled from light-sensitive hypothalamic circadian clock genes.

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Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 25%
Researcher 14 23%
Student > Bachelor 8 13%
Student > Master 7 11%
Professor > Associate Professor 4 7%
Other 10 16%
Unknown 3 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 38%
Biochemistry, Genetics and Molecular Biology 7 11%
Neuroscience 6 10%
Medicine and Dentistry 6 10%
Nursing and Health Professions 4 7%
Other 8 13%
Unknown 7 11%