Literature DB >> 20484693

Probing the mechanisms of chronotype using quantitative modeling.

A J K Phillips1, P Y Chen, P A Robinson.   

Abstract

The physiological mechanisms underlying interindividual differences in chronotype have yet to be established, although evidence suggests both circadian and homeostatic processes are involved. A physiologically based model is developed by combining models of the sleep-wake switch and circadian pacemaker, providing a means of examining how interactions between these systems affect chronotype. Specifically, chronotype is shown to depend on the relative influences of homeostatic and circadian drives, with a stronger homeostatic drive causing morningness. Changes to intrinsic circadian and homeostatic properties, including homeostatic clearance and production rates, and circadian period and amplitude, are also shown to affect chronotype. These results provide a framework for explaining several experimentally observed phenomena, including age-related morningness, adolescent eveningness, and familial advanced and delayed sleep-phase disorders. Additionally, experimental studies have shown that healthy adults on the extremes of the morningness-eveningness spectrum fall into two subtypes: those whose circadian phase markers are unaffected by chronotype, and those whose circadian phase markers track their chronotype. The model demonstrates that this spectrum likely results from interindividual differences in homeostatic kinetics in the first group, and differences in circadian period in the second group. Physiologically based modeling can thus guide diagnosis of sleep pathologies.

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Mesh:

Year:  2010        PMID: 20484693     DOI: 10.1177/0748730410369208

Source DB:  PubMed          Journal:  J Biol Rhythms        ISSN: 0748-7304            Impact factor:   3.182


  24 in total

Review 1.  Circadian disruption: What do we actually mean?

Authors:  Céline Vetter
Journal:  Eur J Neurosci       Date:  2018-12-05       Impact factor: 3.386

Review 2.  Changes in sleep as a function of adolescent development.

Authors:  Ian M Colrain; Fiona C Baker
Journal:  Neuropsychol Rev       Date:  2011-01-12       Impact factor: 7.444

3.  Are Individual Differences in Sleep and Circadian Timing Amplified by Use of Artificial Light Sources?

Authors:  Krithika Swaminathan; Elizabeth B Klerman; Andrew J K Phillips
Journal:  J Biol Rhythms       Date:  2017-04-02       Impact factor: 3.182

4.  Revisiting spontaneous internal desynchrony using a quantitative model of sleep physiology.

Authors:  Andrew J K Phillips; Charles A Czeisler; Elizabeth B Klerman
Journal:  J Biol Rhythms       Date:  2011-10       Impact factor: 3.182

Review 5.  Delayed sleep-wake phase disorder.

Authors:  Alexander D Nesbitt
Journal:  J Thorac Dis       Date:  2018-01       Impact factor: 2.895

Review 6.  Mathematical modeling of circadian rhythms.

Authors:  Ameneh Asgari-Targhi; Elizabeth B Klerman
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2018-10-17

Review 7.  An update on adolescent sleep: New evidence informing the perfect storm model.

Authors:  Stephanie J Crowley; Amy R Wolfson; Leila Tarokh; Mary A Carskadon
Journal:  J Adolesc       Date:  2018-06-13

8.  Increased sensitivity of the circadian system to light in delayed sleep-wake phase disorder.

Authors:  Lauren A Watson; Andrew J K Phillips; Ihaia T Hosken; Elise M McGlashan; Clare Anderson; Leon C Lack; Steven W Lockley; Shantha M W Rajaratnam; Sean W Cain
Journal:  J Physiol       Date:  2018-10-25       Impact factor: 5.182

Review 9.  Sleep behavior across the lifespan: How a model can expand our current understanding.

Authors:  Stephanie J Crowley
Journal:  Sleep Med Rev       Date:  2015-12-17       Impact factor: 11.609

10.  The interindividual variability of sleep timing and circadian phase in humans is influenced by daytime and evening light conditions.

Authors:  C Papatsimpa; L J M Schlangen; K C H J Smolders; J-P M G Linnartz; Y A W de Kort
Journal:  Sci Rep       Date:  2021-07-01       Impact factor: 4.379

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