A <i>PERIOD3</i> variant causes a circadian phenotype and is associated with a seasonal mood trait

Luoying Zhang(University of California, San Francisco), Arisa Hirano(University of California, San Francisco), Pei-Ken Hsu(University of California, San Francisco), Christopher R. Jones(University of Utah), Noriaki Sakai(Stanford University), Masashi Okuro(Stanford University), Thomas McMahon(University of California, San Francisco), Maya Yamazaki(University of California, San Francisco), Ying Xu(University of California, San Francisco), Noriko Saigoh(University of California, San Francisco), Kazumasa Saigoh(University of California, San Francisco), Shu-Ting Lin(University of California, San Francisco), Krista Kaasik(University of California, San Francisco), Seiji Nishino(Stanford University), Louis J. Ptáček(Howard Hughes Medical Institute), Ying‐Hui Fu(University of California, San Francisco)
Proceedings of the National Academy of Sciences
February 22, 2016
Cited by 159

Abstract

In humans, the connection between sleep and mood has long been recognized, although direct molecular evidence is lacking. We identified two rare variants in the circadian clock gene PERIOD3 (PER3-P415A/H417R) in humans with familial advanced sleep phase accompanied by higher Beck Depression Inventory and seasonality scores. hPER3-P415A/H417R transgenic mice showed an altered circadian period under constant light and exhibited phase shifts of the sleep-wake cycle in a short light period (photoperiod) paradigm. Molecular characterization revealed that the rare variants destabilized PER3 and failed to stabilize PERIOD1/2 proteins, which play critical roles in circadian timing. Although hPER3-P415A/H417R-Tg mice showed a mild depression-like phenotype, Per3 knockout mice demonstrated consistent depression-like behavior, particularly when studied under a short photoperiod, supporting a possible role for PER3 in mood regulation. These findings suggest that PER3 may be a nexus for sleep and mood regulation while fine-tuning these processes to adapt to seasonal changes.


Related Papers

No related papers found

Powered by citation graph analysis