Evidence map›Paper›PMID 30132387›Full record

ReviewJournal of biological rhythms2018

Evidence for a Coupled Oscillator Model of Endocrine Ultradian Rhythms.

Azure D Grant, Kathryn Wilsterman, Benjamin L Smarr, Lance J Kriegsfeld

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of biological rhythms, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

24 citing papers in PubMed, 41 citations in OpenAlex.

  1. Are physiological oscillations physiological?The Journal of physiology · 2026
    Review
  2. Multiple ultradian rhythms of metabolism, body temperature and activity in Djungarian hamsters.Journal of comparative physiology. B, Biochemical, systemic, and environmental physiology · 2024
    Article
  3. Silencing of ultradian rhythms and metabolic depression during spontaneous daily torpor in Djungarian hamsters.Journal of comparative physiology. B, Biochemical, systemic, and environmental physiology · 2024
    Article
  4. Artificial light at night affects the daily profile of pulse pressure and protein expression in the thoracic aorta of rats.Hypertension research : official journal of the Japanese Society of Hypertension · 2024
    Article
  5. Article
  6. Review
  7. Article
  8. Analysis of wearable time series data in endocrine and metabolic research.Current opinion in endocrine and metabolic research · 2022
    Review
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  10. Article
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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

4 authors at 1 institution in 1 country.

Azure D GrantThe Helen Wills Neuroscience Institute, University of California, Berkeley, California.
Kathryn WilstermanDepartment of Integrative Biology, University of California, Berkeley, California.
Benjamin L SmarrDepartment of Psychology, University of California, Berkeley, California.
Lance J KriegsfeldThe Helen Wills Neuroscience Institute, University of California, Berkeley, California.
University of California, Berkeley · US

Funding

Neuroscience Training Program at UC BerkeleyT32NS095939 · NINDS · UNIVERSITY OF CALIFORNIA BERKELEY · PI BATEUP, HELEN S. · 2016 to 2025
$6.3M
The role of kisspeptin and RFRP-3 in the neuroendocrine control of female reproductionR01HD050470 · NICHD · UNIVERSITY OF CALIFORNIA BERKELEY · PI KRIEGSFELD, LANCE J · 2007 to 2022
$5.0M
Understanding the impact of environmental disruption in biological timing systems through signal processing.K99ES027509 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI SMARR, BENJAMIN LEE · 2017 to 2018
$203k
The role of circadian stability during development in adult health and behaviorF32HD081957 · NICHD · UNIVERSITY OF CALIFORNIA BERKELEY · PI SMARR, BENJAMIN LEE · 2014 to 2017
$172k
NICHD NIH HHS F32 HD081957NICHD NIH HHS R01 HD050470NIEHS NIH HHS K99 ES027509NINDS NIH HHS T32 NS095939
6 · The paper itself

Abstract

Whereas long-period temporal structures in endocrine dynamics have been well studied, endocrine rhythms on the scale of hours are relatively unexplored. The study of these ultradian rhythms (URs) has remained nascent, in part, because a theoretical framework unifying ultradian patterns across systems has not been established. The present overview proposes a conceptual coupled oscillator network model of URs in which oscillating hormonal outputs, or nodes, are connected by edges representing the strength of node-node coupling. We propose that variable-strength coupling exists both within and across classic hormonal axes. Because coupled oscillators synchronize, such a model implies that changes across hormonal systems could be inferred by surveying accessible nodes in the network. This implication would at once simplify the study of URs and open new avenues of exploration into conditions affecting coupling. In support of this proposed framework, we review mammalian evidence for (1) URs of the gut-brain axis and the hypothalamo-pituitary-thyroid, -adrenal, and -gonadal axes, (2) UR coupling within and across these axes; and (3) the relation of these URs to body temperature. URs across these systems exhibit behavior broadly consistent with a coupled oscillator network, maintaining both consistent URs and coupling within and across axes. This model may aid the exploration of mammalian physiology at high temporal resolution and improve the understanding of endocrine system dynamics within individuals.

Indexed as

Biological ClocksModels, TheoreticalActivity CyclesAnimalsEndocrine SystemHumansMotor ActivityPrecision MedicineUltradian Rhythmbiological rhythmsGBAHPAHPGHPTpersonalized medicine

Identifiers

PMID30132387
PMCPMC6425759
OpenAlexW2888635070

What OpenQuestion holds

Textmetadata
LicenceTDM
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.