Evidence map›Paper›PMID 23798995›Full record

ArticlePloS one2013

Is dynamic autocrine insulin signaling possible? A mathematical model predicts picomolar concentrations of extracellular monomeric insulin within human pancreatic islets.

Minghu Wang, Jiaxu Li, Gareth E Lim, James D Johnson

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05132244 (Pancreatic Cancer Glucose Assessment and Regulation Study), which is not on this map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.6field-weighted citation impact, top 5% 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.

NCT05132244 narecruitingnot on this mapstarted 2024, after this paper: background citation

Pancreatic Cancer Glucose Assessment and Regulation Study

TypeinterventionalSponsorBritish Columbia Cancer AgencyRan2024 to 2027Enrolled50ConditionsPancreatic Cancer, PDAC - Pancreatic Ductal Adenocarcinoma, HyperglycemiaArmsEndocrinologist-directed target blood glucose level 4-10 mmol/L using data from a continuous glucose monitor (CGM), Standard Care
3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 38 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Disturbances in system dynamics ofJournal of bioenergetics and biomembranes · 2023
    Article
  6. Review
  7. Article
  8. Article
  9. Hyperinsulinemia in Obesity, Inflammation, and Cancer.Diabetes & metabolism journal · 2021
    Review
  10. Article
  11. Lipotoxicity andJournal of the Endocrine Society · 2019
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Insulin secretion from beta cells within intact islets: location matters.Clinical and experimental pharmacology & physiology · 2015
    Review
  18. Article
  19. Article
  20. Human β-cell regeneration: progress, hurdles, and controversy.Current opinion in endocrinology, diabetes, and obesity · 2014
    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

4 authors at 2 institutions in 2 countries.

Minghu WangDepartment of Mathematics, University of Louisville, Louisville, Kentucky, United States of America.
Jiaxu Li
Gareth E Lim
James D Johnson
University of British Columbia · CAUniversity of Louisville · US

Funding

Strategic Vision & Impact on Environmental HealthP30ES014443 · NIEHS · UNIVERSITY OF LOUISVILLE · PI RAMOS, IRMA N · 2007 to 2010
$4.4M
Mathematical Model of Parotid Acinar DifferentiationR01DE019243 · NIDCR · UNIVERSITY OF LOUISVILLE · PI DARLING, DOUGLAS S, REMPALA, GRZEGORZ A · 2008 to 2012
$2.2M
CIHRNIDCR NIH HHS R01 DE019243NIDCR NIH HHS R01-DE019243NIEHS NIH HHS P30 ES014443NIEHS NIH HHS P30-ES014443
6 · The paper itself

Abstract

Insulin signaling is essential for β-cell survival and proliferation in vivo. Insulin also has potent mitogenic and anti-apoptotic actions on cultured β-cells, with maximum effect in the high picomolar range and diminishing effect at high nanomolar doses. In order to understand whether these effects of insulin are constitutive or can be subjected to physiological modulation, it is essential to estimate the extracellular concentration of monomeric insulin within an intact islet. Unfortunately, the in vivo concentration of insulin monomers within the islet cannot be measured directly with current technology. Here, we present the first mathematical model designed to estimate the levels of monomeric insulin within the islet extracellular space. Insulin is released as insoluble crystals that exhibit a delayed dissociation into hexamers, dimers, and eventually monomers, which only then can act as signaling ligands. The rates at which different forms of insulin dissolve in vivo have been estimated from studies of peripheral insulin injection sites. We used this and other information to formulate a mathematical model to estimate the local insulin concentration within a single islet as a function of glucose. Model parameters were estimated from existing literature. Components of the model were validated using experimental data, if available. Model analysis predicted that the majority of monomeric insulin in the islet is that which has been returned from the periphery, and the concentration of intra-islet monomeric insulin varies from ~50-300 pM when glucose is in the physiological range. Thus, our results suggest that the local concentration of monomeric insulin within the islet is in the picomolar 'sweet spot' range of insulin doses that activate the insulin receptor and have the most potent effects on β-cells in vitro. Together with experimental data, these estimations support the concept that autocrine/paracrine insulin signalling within the islet is dynamic, rather than constitutive and saturated.

Indexed as

Autocrine CommunicationModels, BiologicalAlgorithmsExtracellular FluidGlucoseHumansInsulinInsulin-Secreting CellsIslets of LangerhansKineticsSignal TransductionGlucoseInsulin

Identifiers

PMID23798995
PMCPMC3682990
OpenAlexW1997077463

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Registered trials

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.