Evidence map›Paper›PMID 21676967›Full record

ArticleJournal of the Royal Society, Interface2012

A composite computational model of liver glucose homeostasis. I. Building the composite model.

J Hetherington, T Sumner, R M Seymour, L Li, M Varela Rey, S Yamaji, P Saffrey, O Margoninski, I D L Bogle, A Finkelstein and 1 more

Abstract readValidation Study
In one paragraph

Article in Journal of the Royal Society, Interface, 2012. 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
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. Article
  2. Article
  3. Computational Modeling of Fructose Metabolism and Development in NAFLD.Frontiers in bioengineering and biotechnology · 2020
    Article
  4. Article
  5. Computational Modeling in Liver Surgery.Frontiers in physiology · 2017
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
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

11 authors.

J HetheringtonCoMPLEX, University College London, Gower Street, London WC1E 6BT, UK.
T Sumner
R M Seymour
L Li
M Varela Rey
S Yamaji
P Saffrey
O Margoninski
I D L Bogle
A Finkelstein
A Warner

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A computational model of the glucagon/insulin-driven liver glucohomeostasis function, focusing on the buffering of glucose into glycogen, has been developed. The model exemplifies an 'engineering' approach to modelling in systems biology, and was produced by linking together seven component models of separate aspects of the physiology. The component models use a variety of modelling paradigms and degrees of simplification. Model parameters were determined by an iterative hybrid of fitting to high-scale physiological data, and determination from small-scale in vitro experiments or molecular biological techniques. The component models were not originally designed for inclusion within such a composite model, but were integrated, with modification, using our published modelling software and computational frameworks. This approach facilitates the development of large and complex composite models, although, inevitably, some compromises must be made when composing the individual models. Composite models of this form have not previously been demonstrated.

Indexed as

Models, BiologicalAlgorithmsAnimalsCalcium SignalingCyclic AMPFeedback, PhysiologicalGlucoseGlycogenolysisHomeostasisHumansInsulinLiverLiver CirculationLiver GlycogenPancreasRatsCyclic AMPGlucoseInsulinLiver GlycogenReceptors, Glucagon

Identifiers

PMID21676967
PMCPMC3284126

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.