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Title: Accelerating recovery from jet lag: prediction from a multi-oscillator model and its experimental confirmation in model animals
Authors: Kori, Hiroshi
Yamaguchi, Yoshiaki  kyouindb  KAKEN_id  orcid (unconfirmed)
Okamura, Hitoshi
Author's alias: 郡, 宏
山口, 賀章
岡村, 均
Keywords: Circadian rhythms
Nonlinear dynamics
Nonlinear phenomena
Issue Date: 26-Apr-2017
Publisher: Springer Nature
Journal title: Scientific Reports
Volume: 7
Thesis number: 46702
Abstract: The endogenous circadian clock drives oscillations that are completely synchronized with the environmental day–night rhythms with a period of approximately 24 hours. Temporal misalignment between one’s internal circadian clock and the external solar time often occurs in shift workers and long-distance travelers; such misalignments are accompanied by sleep disturbances and gastrointestinal distress. Repeated exposure to jet lag and rotating shift work increases the risk of lifestyle-related diseases, such as cardiovascular complaints and metabolic insufficiencies. However, the mechanism behind the disruption of one’s internal clock is not well understood. In this paper, we therefore present a new theoretical concept called “jet lag separatrix” to understand circadian clock disruption and slow recovery from jet lag based on the mathematical model describing the hierarchical structure of the circadian clock. To demonstrate the utility of our theoretical study, we applied it to predict that re-entrainment via a two-step jet lag in which a four-hour shift of the light-dark cycle is given in the span of two successive days requires fewer days than when given as a single eight-hour shift. We experimentally verified the feasibility of our theory in C57BL/6 strain mice, with results indicating that this pre-exposure of jet lag is indeed beneficial.
Description: 出発前日の早起きで時差ボケを軽減--シフトワーカーのからだに優しい勤務スケジュールの作成に期待--. 京都大学プレスリリース. 2017-04-28.
Rights: This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit
DOI(Published Version): 10.1038/srep46702
PubMed ID: 28443630
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