Evidence map›Paper›PMID 27124774›Full record

ArticlePLoS computational biology2016

HepatoDyn: A Dynamic Model of Hepatocyte Metabolism That Integrates 13C Isotopomer Data.

Carles Foguet, Silvia Marin, Vitaly A Selivanov, Eric Fanchon, Wai-Nang Paul Lee, Joan J Guinovart, Pedro de Atauri, Marta Cascante

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

5 citing papers in PubMed, 21 citations in OpenAlex.

  1. p13CMFA: Parsimonious 13C metabolic flux analysis.PLoS computational biology · 2019
    Article
  2. Article
  3. Metabolic Alterations in Cardiopulmonary Vascular Dysfunction.Frontiers in molecular biosciences · 2018
    Review
  4. Article
  5. 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

8 authors at 4 institutions in 3 countries.

Carles FoguetDepartment of Biochemistry and Molecular Biomedicine, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain.
Silvia MarinDepartment of Biochemistry and Molecular Biomedicine, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain.ORCID 0000-0003-0693-2207
Vitaly A SelivanovDepartment of Biochemistry and Molecular Biomedicine, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain.
Eric FanchonUGA - CNRS, TIMC-IMAG UMR 5525, Grenoble, France.
Wai-Nang Paul LeeDepartment of Pediatrics, Los Angeles Biomedical Research Institute, Torrance, California, United States of America.ORCID 0000-0002-0128-9112
Joan J GuinovartDepartment of Biochemistry and Molecular Biomedicine, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain.
Pedro de AtauriDepartment of Biochemistry and Molecular Biomedicine, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain.
Marta CascanteDepartment of Biochemistry and Molecular Biomedicine, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain.
Institut de Biologia Molecular de Barcelona · ESCentre National de la Recherche Scientifique · FRInstitute for Research in Biomedicine · ESThe Lundquist Institute · US

Funding

UCLA Center for Excellence in Pancreatic DiseasesP01AT003960 · NCCIH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GO, VAY LIANG W · 2007 to 2011
$5.6M
NCCIH NIH HHS P01 AT003960
6 · The paper itself

Abstract

The liver performs many essential metabolic functions, which can be studied using computational models of hepatocytes. Here we present HepatoDyn, a highly detailed dynamic model of hepatocyte metabolism. HepatoDyn includes a large metabolic network, highly detailed kinetic laws, and is capable of dynamically simulating the redox and energy metabolism of hepatocytes. Furthermore, the model was coupled to the module for isotopic label propagation of the software package IsoDyn, allowing HepatoDyn to integrate data derived from 13C based experiments. As an example of dynamical simulations applied to hepatocytes, we studied the effects of high fructose concentrations on hepatocyte metabolism by integrating data from experiments in which rat hepatocytes were incubated with 20 mM glucose supplemented with either 3 mM or 20 mM fructose. These experiments showed that glycogen accumulation was significantly lower in hepatocytes incubated with medium supplemented with 20 mM fructose than in hepatocytes incubated with medium supplemented with 3 mM fructose. Through the integration of extracellular fluxes and 13C enrichment measurements, HepatoDyn predicted that this phenomenon can be attributed to a depletion of cytosolic ATP and phosphate induced by high fructose concentrations in the medium.

Indexed as

Models, BiologicalAnimalsCarbon IsotopesComputational BiologyComputer SimulationFructoseGlucoseHepatocytesIn Vitro TechniquesKineticsMaleMetabolic Networks and PathwaysRatsRats, WistarCarbon IsotopesFructoseGlucose

Identifiers

PMID27124774
PMCPMC4849781
OpenAlexW2344525015

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.