Article ; Online: Secretin receptor-deficient mice exhibit robust food anticipatory activity.
2022 Volume 772, Page(s) 136462
Abstract: In mammals, the suprachiasmatic nucleus (SCN) is a principal circadian pacemaker that optimizes the timing of behavioral rhythms and physiological events. Normally, circadian behavioral rhythms are entrained by the environmental light-dark (LD) cycle via ...
Abstract | In mammals, the suprachiasmatic nucleus (SCN) is a principal circadian pacemaker that optimizes the timing of behavioral rhythms and physiological events. Normally, circadian behavioral rhythms are entrained by the environmental light-dark (LD) cycle via the SCN. However, daily rhythms of other synchronizing signals, such as food availability, also emerge. When food availability is restricted to a single recurring daytime meal in nocturnal rodents, they exhibit increased activity during the hours immediately preceding feeding time; this is called food anticipatory activity (FAA). Many reports suggest that FAA is mediated by the food-entrainable oscillator (FEO) with circadian properties, but not the SCN. However, the neural locus and timekeeping mechanisms of the FEO, including its relationship with gastrointestinal hormone signaling, remain unclear. Herein, to examine whether secretin receptor signaling is necessary for the FEO, the effect of daily food restriction was studied in secretin receptor-deficient (Sctr |
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MeSH term(s) | Activity Cycles ; Animals ; Anticipation, Psychological ; Brain/metabolism ; Brain/physiology ; Eating ; Feeding Behavior ; Female ; Male ; Mice ; Mice, Inbred C57BL ; Receptors, G-Protein-Coupled/deficiency ; Receptors, G-Protein-Coupled/genetics ; Receptors, Gastrointestinal Hormone/deficiency ; Receptors, Gastrointestinal Hormone/genetics |
Chemical Substances | Receptors, G-Protein-Coupled ; Receptors, Gastrointestinal Hormone ; secretin receptor |
Language | English |
Publishing date | 2022-01-18 |
Publishing country | Ireland |
Document type | Journal Article ; Research Support, Non-U.S. Gov't |
ZDB-ID | 194929-9 |
ISSN | 1872-7972 ; 0304-3940 |
ISSN (online) | 1872-7972 |
ISSN | 0304-3940 |
DOI | 10.1016/j.neulet.2022.136462 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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