human circadian rhythms
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2020 ◽  
Vol 78 (Supplement_3) ◽  
pp. 91-96
Author(s):  
Yujiro Yamanaka

Abstract Most physiological functions and behaviors exhibit a robust approximately 24-hour rhythmicity (circadian rhythm) in the real world. These rhythms persist under constant conditions, but the period is slightly longer than 24 hours, suggesting that circadian rhythms are endogenously driven by an internal, self-sustained oscillator. In mammals, including humans, the central circadian pacemaker is located in the hypothalamic suprachiasmatic nucleus. The primary zeitgeber for this pacemaker is bright sunlight, but nonphotic time cues also affect circadian rhythms. The human circadian system uniquely exhibits spontaneous internal desynchronization between the sleep-wake cycle and core body temperature rhythm under constant conditions and partial entrainment of the sleep-wake cycle in response to nonphotic time cues. Experimental and clinical studies of human circadian rhythms must take into account these unique features. This review covers the basic concepts and unique features of the human circadian system, the mechanisms underlying phase adjustment of the circadian rhythms by light and nonphotic time cues (eg, physical exercise), and the effects of eating behavior (eg, chewing frequency) on the circadian rhythm of glucose metabolism.


2019 ◽  
Vol 34 (6) ◽  
pp. 658-671 ◽  
Author(s):  
Kevin M. Hannay ◽  
Victoria Booth ◽  
Daniel B. Forger

Mathematical models have a long and influential history in the study of human circadian rhythms. Accurate predictive models for the human circadian light response have been used to study the impact of a host of light exposures on the circadian system. However, generally, these models do not account for the physiological basis of these rhythms. We illustrate a new paradigm for deriving models of the human circadian light response. Beginning from a high-dimensional model of the circadian neural network, we systematically derive low-dimensional models using an approach motivated by experimental measurements of circadian neurons. This systematic reduction allows for the variables and parameters of the derived model to be interpreted in a physiological context. We fit and validate the resulting models to a library of experimental measurements. Finally, we compare model predictions for experimental measurements of light levels and discuss the differences between our model’s predictions and previous models. Our modeling paradigm allows for the integration of experimental measurements across the single-cell, tissue, and behavioral scales, thereby enabling the development of accurate low-dimensional models for human circadian rhythms.


2019 ◽  
Vol 23 (3) ◽  
pp. 147-156 ◽  
Author(s):  
Christine Blume ◽  
Corrado Garbazza ◽  
Manuel Spitschan

2019 ◽  
Vol 17 (1) ◽  
Author(s):  
Kamila Weissová ◽  
Jitka Škrabalová ◽  
Kateřina Skálová ◽  
Zdeňka Bendová ◽  
Jana Kopřivová

Author(s):  
Andrea Polo ◽  
Sakshi Singh ◽  
Anna Crispo ◽  
Marilina Russo ◽  
Aldo Giudice ◽  
...  

2017 ◽  
Vol 2 (4) ◽  
pp. 105-110
Author(s):  
Aly Chkeir ◽  
Farah Mourad-Chehade ◽  
Jacques Beau ◽  
Monique Maurice ◽  
Sandra Komarzynski ◽  
...  

2017 ◽  
Vol 17 ◽  
pp. 5-11 ◽  
Author(s):  
Cosmin Ticleanu ◽  
Paul Littlefair

Lighting can affect the health of people in buildings. This goes beyond the safety aspects of providing enough illumination to see by; lighting affects mood and human circadian rhythms, while poor lighting can cause glare, headaches, eyestrain, aches and pains associated with poor body posture or, in extreme cases, skin conditions and various types of sight loss. These aspects ought to be considered by designers and building owners and occupiers in order to improve the lit environment and use adequate lighting and lighting controls that meet the recommendations of codes and standards. Various types of lighting can have different impacts depending on their spectral, optical and electrical characteristics. This paper discusses potential impacts of LED lighting on human health, and is based on a recent BRE review of research investigating the most typical effects of lighting on human health.


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