Evidence map›Paper›PMID 31042416›Full record

ArticleAmerican journal of physiology. Regulatory, integrative and comparative physiology2019

Mathematical modeling informs the impact of changes in circadian rhythms and meal patterns on insulin secretion.

Seul-A Bae, Ioannis P Androulakis

Open access · bronzeAbstract read
In one paragraph

Article in American journal of physiology. Regulatory, integrative and comparative physiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Circadian rhythms and the HPA axis: A systems view.WIREs mechanisms of disease · 2021
    Review
  5. Article
  6. Review
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

2 authors at 1 institution in 1 country.

Seul-A BaeChemical & Biochemical Engineering Department, Rutgers University , Piscataway, New Jersey.
Ioannis P AndroulakisChemical & Biochemical Engineering Department, Rutgers University , Piscataway, New Jersey.
Rutgers, The State University of New Jersey · US

Funding

Corticosteroid Pharmacokinetics and PharmacodynamicsR37GM024211 · NIGMS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI JUSKO, WILLIAM J. · 2005 to 2014
$6.4M
UMDNJ TRAINING GRANT IN BIOTECHNOLOGYT32GM008339 · NIGMS · RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK · PI YARMUSH, MARTIN L · 1989 to 2019
$6.1M
CORTICOSTEROID PHARMACOKINETICS/DYNAMICSR01GM024211 · NIGMS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI JUSKO, WILLIAM J. · 1985 to 2018
$4.7M
NIGMS NIH HHS R01 GM024211NIGMS NIH HHS R37 GM024211NIGMS NIH HHS T32 GM008339
6 · The paper itself

Abstract

Disruption of circadian rhythms has been associated with metabolic syndromes, including obesity and diabetes. A variety of metabolic activities are under circadian modulation, as local and global clock gene knockouts result in glucose imbalance and increased risk of metabolic diseases. Insulin release from the pancreatic β cells exhibits daily variation, and recent studies have found that insulin secretion, not production, is under circadian modulation. As consideration of daily variation in insulin secretion is necessary to accurately describe glucose-stimulated insulin secretion, we describe a mathematical model that incorporates the circadian modulation via insulin granule trafficking. We use this model to understand the effect of oscillatory characteristics on insulin secretion at different times of the day. Furthermore, we integrate the dynamics of clock genes under the influence of competing environmental signals (light/dark cycle and feeding/fasting cycle) and demonstrate how circadian disruption and meal size distribution change the insulin secretion pattern over a 24-h day.

Indexed as

Circadian RhythmMealsModels, BiologicalAnimalsGlucoseHumansInsulinInsulin ResistanceGlucoseInsulin

Identifiers

PMID31042416
PMCPMC6692763
OpenAlexW2943371946

What OpenQuestion holds

Textmetadata
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.