Literature DB >> 33438348

Circadian rhythms and the HPA axis: A systems view.

Ioannis P Androulakis1,2.   

Abstract

The circadian timing system comprises a network of time-keeping clocks distributed across a living host whose responsibility is to allocate resources and distribute functions temporally to optimize fitness. The molecular structures generating these rhythms have evolved to accommodate the rotation of the earth in an attempt to primarily match the light/dark periods during the 24-hr day. To maintain synchrony of timing across and within tissues, information from the central clock, located in the suprachiasmatic nucleus, is conveyed using systemic signals. Leading among those signals are endocrine hormones, and while the hypothalamic-pituitary-adrenal axis through the release of glucocorticoids is a major pacesetter. Interestingly, the fundamental units at the molecular and physiological scales that generate local and systemic signals share critical structural properties. These properties enable time-keeping systems to generate rhythmic signals and allow them to adopt specific properties as they interact with each other and the external environment. The purpose of this review is to provide a broad overview of these structures, discuss their functional characteristics, and describe some of their fundamental properties as these related to health and disease. This article is categorized under: Immune System Diseases > Computational Models Immune System Diseases > Biomedical Engineering.
© 2021 Wiley Periodicals LLC.

Entities:  

Keywords:  HPA; circadian rhythms; cortisol; endocrine system

Mesh:

Substances:

Year:  2021        PMID: 33438348      PMCID: PMC8900069          DOI: 10.1002/wsbm.1518

Source DB:  PubMed          Journal:  WIREs Mech Dis        ISSN: 2692-9368


  196 in total

Review 1.  How do glucocorticoids influence stress responses? Integrating permissive, suppressive, stimulatory, and preparative actions.

Authors:  R M Sapolsky; L M Romero; A U Munck
Journal:  Endocr Rev       Date:  2000-02       Impact factor: 19.871

2.  The circadian clock controls toll-like receptor 9-mediated innate and adaptive immunity.

Authors:  Adam C Silver; Alvaro Arjona; Wendy E Walker; Erol Fikrig
Journal:  Immunity       Date:  2012-02-24       Impact factor: 31.745

3.  Reduced Tolerance to Night Shift in Chronic Shift Workers: Insight From Fractal Regulation.

Authors:  Peng Li; Christopher J Morris; Melissa Patxot; Tatiana Yugay; Joseph Mistretta; Taylor E Purvis; Frank A J L Scheer; Kun Hu
Journal:  Sleep       Date:  2017-07-01       Impact factor: 5.849

Review 4.  Chronopharmacology of glucocorticoids.

Authors:  Megerle L Scherholz; Naomi Schlesinger; Ioannis P Androulakis
Journal:  Adv Drug Deliv Rev       Date:  2019-02-21       Impact factor: 15.470

5.  The neural basis of intermittent motor control in humans.

Authors:  J Gross; L Timmermann; J Kujala; M Dirks; F Schmitz; R Salmelin; A Schnitzler
Journal:  Proc Natl Acad Sci U S A       Date:  2002-02-19       Impact factor: 11.205

Review 6.  Euchronism, allochronism, and dyschronism: is internal desynchronization of human circadian rhythms a sign of illness?

Authors:  Alain E Reinberg; Israel Ashkenazi; Michael H Smolensky
Journal:  Chronobiol Int       Date:  2007       Impact factor: 2.877

7.  Feedback repression is required for mammalian circadian clock function.

Authors:  Trey K Sato; Rikuhiro G Yamada; Hideki Ukai; Julie E Baggs; Loren J Miraglia; Tetsuya J Kobayashi; David K Welsh; Steve A Kay; Hiroki R Ueda; John B Hogenesch
Journal:  Nat Genet       Date:  2006-02-12       Impact factor: 38.330

8.  Characterizing dynamic interactions between ultradian glucocorticoid rhythmicity and acute stress using the phase response curve.

Authors:  James Rankin; Jamie J Walker; Richard Windle; Stafford L Lightman; John R Terry
Journal:  PLoS One       Date:  2012-02-21       Impact factor: 3.240

9.  Analysis of feedback loops and robustness in network evolution based on Boolean models.

Authors:  Yung-Keun Kwon; Kwang-Hyun Cho
Journal:  BMC Bioinformatics       Date:  2007-11-07       Impact factor: 3.169

Review 10.  Mathematical Modelling of Endocrine Systems.

Authors:  Eder Zavala; Kyle C A Wedgwood; Margaritis Voliotis; Joël Tabak; Francesca Spiga; Stafford L Lightman; Krasimira Tsaneva-Atanasova
Journal:  Trends Endocrinol Metab       Date:  2019-02-21       Impact factor: 12.015

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  1 in total

1.  Modeling pulsativity in the hypothalamic-pituitary-adrenal hormonal axis.

Authors:  Alexander N Churilov; John G Milton
Journal:  Sci Rep       Date:  2022-05-19       Impact factor: 4.996

  1 in total

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