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Telling the Time with a Broken Clock: Quantifying Circadian Disruption in Animal Models
Circadian rhythms are approximately 24 h cycles in physiology and behaviour that enable organisms to anticipate predictable rhythmic changes in their environment. These rhythms are a hallmark of normal healthy physiology, and disruption of circadian rhythms has implications for cognitive, metabolic,...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6466320/ https://www.ncbi.nlm.nih.gov/pubmed/30901884 http://dx.doi.org/10.3390/biology8010018 |
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author | Brown, Laurence A. Fisk, Angus S. Pothecary, Carina A. Peirson, Stuart N. |
author_facet | Brown, Laurence A. Fisk, Angus S. Pothecary, Carina A. Peirson, Stuart N. |
author_sort | Brown, Laurence A. |
collection | PubMed |
description | Circadian rhythms are approximately 24 h cycles in physiology and behaviour that enable organisms to anticipate predictable rhythmic changes in their environment. These rhythms are a hallmark of normal healthy physiology, and disruption of circadian rhythms has implications for cognitive, metabolic, cardiovascular and immune function. Circadian disruption is of increasing concern, and may occur as a result of the pressures of our modern 24/7 society—including artificial light exposure, shift-work and jet-lag. In addition, circadian disruption is a common comorbidity in many different conditions, ranging from aging to neurological disorders. A key feature of circadian disruption is the breakdown of robust, reproducible rhythms with increasing fragmentation between activity and rest. Circadian researchers have developed a range of methods for estimating the period of time series, typically based upon periodogram analysis. However, the methods used to quantify circadian disruption across the literature are not consistent. Here we describe a range of different measures that have been used to measure circadian disruption, with a particular focus on laboratory rodent data. These methods include periodogram power, variability in activity onset, light phase activity, activity bouts, interdaily stability, intradaily variability and relative amplitude. The strengths and limitations of these methods are described, as well as their normal ranges and interrelationships. Whilst there is an increasing appreciation of circadian disruption as both a risk to health and a potential therapeutic target, greater consistency in the quantification of disrupted rhythms is needed. |
format | Online Article Text |
id | pubmed-6466320 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-64663202019-04-19 Telling the Time with a Broken Clock: Quantifying Circadian Disruption in Animal Models Brown, Laurence A. Fisk, Angus S. Pothecary, Carina A. Peirson, Stuart N. Biology (Basel) Review Circadian rhythms are approximately 24 h cycles in physiology and behaviour that enable organisms to anticipate predictable rhythmic changes in their environment. These rhythms are a hallmark of normal healthy physiology, and disruption of circadian rhythms has implications for cognitive, metabolic, cardiovascular and immune function. Circadian disruption is of increasing concern, and may occur as a result of the pressures of our modern 24/7 society—including artificial light exposure, shift-work and jet-lag. In addition, circadian disruption is a common comorbidity in many different conditions, ranging from aging to neurological disorders. A key feature of circadian disruption is the breakdown of robust, reproducible rhythms with increasing fragmentation between activity and rest. Circadian researchers have developed a range of methods for estimating the period of time series, typically based upon periodogram analysis. However, the methods used to quantify circadian disruption across the literature are not consistent. Here we describe a range of different measures that have been used to measure circadian disruption, with a particular focus on laboratory rodent data. These methods include periodogram power, variability in activity onset, light phase activity, activity bouts, interdaily stability, intradaily variability and relative amplitude. The strengths and limitations of these methods are described, as well as their normal ranges and interrelationships. Whilst there is an increasing appreciation of circadian disruption as both a risk to health and a potential therapeutic target, greater consistency in the quantification of disrupted rhythms is needed. MDPI 2019-03-21 /pmc/articles/PMC6466320/ /pubmed/30901884 http://dx.doi.org/10.3390/biology8010018 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Brown, Laurence A. Fisk, Angus S. Pothecary, Carina A. Peirson, Stuart N. Telling the Time with a Broken Clock: Quantifying Circadian Disruption in Animal Models |
title | Telling the Time with a Broken Clock: Quantifying Circadian Disruption in Animal Models |
title_full | Telling the Time with a Broken Clock: Quantifying Circadian Disruption in Animal Models |
title_fullStr | Telling the Time with a Broken Clock: Quantifying Circadian Disruption in Animal Models |
title_full_unstemmed | Telling the Time with a Broken Clock: Quantifying Circadian Disruption in Animal Models |
title_short | Telling the Time with a Broken Clock: Quantifying Circadian Disruption in Animal Models |
title_sort | telling the time with a broken clock: quantifying circadian disruption in animal models |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6466320/ https://www.ncbi.nlm.nih.gov/pubmed/30901884 http://dx.doi.org/10.3390/biology8010018 |
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