Evidence map›Paper›PMID 33177530›Full record

ArticleScientific reports2020

Seasonality and light phase-resetting in the mammalian circadian rhythm.

Kevin M Hannay, Daniel B Forger, Victoria Booth

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact, top 100% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
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  4. The seasons within: a theoretical perspective on photoperiodic entrainment and encoding.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2024
    Review
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  7. Observational
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Kevin M HannayDepartment of Mathematics, University of Michigan, Ann Arbor, 48109, USA. khannay@umich.edu.
Daniel B ForgerDepartment of Mathematics, University of Michigan, Ann Arbor, 48109, USA.
Victoria BoothDepartment of Mathematics, University of Michigan, Ann Arbor, 48109, USA.
University of Michigan–Ann Arbor · USSchreiner University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We study the impact of light on the mammalian circadian system using the theory of phase response curves. Using a recently developed ansatz we derive a low-dimensional macroscopic model for the core circadian clock in mammals. Significantly, the variables and parameters in our model have physiological interpretations and may be compared with experimental results. We focus on the effect of four key factors which help shape the mammalian phase response to light: heterogeneity in the population of oscillators, the structure of the typical light phase response curve, the fraction of oscillators which receive direct light input and changes in the coupling strengths associated with seasonal day-lengths. We find these factors can explain several experimental results and provide insight into the processing of light information in the mammalian circadian system. In particular, we find that the sensitivity of the circadian system to light may be modulated by changes in the relative coupling forces between the light sensing and non-sensing populations. Finally, we show how seasonal day-length, after-effects to light entrainment and seasonal variations in light sensitivity in the mammalian circadian clock are interrelated.

Indexed as

LightSeasonsAnimalsCircadian ClocksCircadian RhythmMammalsModels, BiologicalSuprachiasmatic Nucleus

Identifiers

PMID33177530
PMCPMC7658258
OpenAlexW2979553091

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.