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Familial Circadian Rhythm Disorder in the Diurnal Primate, Macaca mulatta

Overview of attention for article published in PLOS ONE, March 2012
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Title
Familial Circadian Rhythm Disorder in the Diurnal Primate, Macaca mulatta
Published in
PLOS ONE, March 2012
DOI 10.1371/journal.pone.0033327
Pubmed ID
Authors

Irina V. Zhdanova, Ken Masuda, Sergey V. Bozhokin, Douglas L. Rosene, Janis González-Martínez, Steven Schettler, Eric Samorodnitsky

Abstract

In view of the inverse temporal relationship of central clock activity to physiological or behavioral outputs in diurnal and nocturnal species, understanding the mechanisms and physiological consequences of circadian disorders in humans would benefit from studies in a diurnal animal model, phylogenetically close to humans. Here we report the discovery of the first intrinsic circadian disorder in a family of diurnal non-human primates, the rhesus monkey. The disorder is characterized by a combination of delayed sleep phase, relative to light-dark cycle, mutual desynchrony of intrinsic rhythms of activity, food intake and cognitive performance, enhanced nighttime feeding or, in the extreme case, intrinsic asynchrony. The phenotype is associated with normal length of intrinsic circadian period and requires an intact central clock, as demonstrated by an SCN lesion. Entrainment to different photoperiods or melatonin administration does not eliminate internal desynchrony, though melatonin can temporarily reinstate intrinsic activity rhythms in the animal with intrinsic asynchrony. Entrainment to restricted feeding is highly effective in animals with intrinsic or SCN lesion-induced asynchrony. The large isolated family of rhesus macaques harboring the disorder provides a powerful new tool for translational research of regulatory circuits underlying circadian disorders and their effective treatment.

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Geographical breakdown

Country Count As %
Japan 1 3%
New Zealand 1 3%
Spain 1 3%
Colombia 1 3%
Unknown 29 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 15%
Researcher 4 12%
Student > Master 4 12%
Student > Bachelor 4 12%
Other 3 9%
Other 8 24%
Unknown 5 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 27%
Medicine and Dentistry 5 15%
Neuroscience 4 12%
Nursing and Health Professions 2 6%
Mathematics 1 3%
Other 5 15%
Unknown 7 21%