IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0198060.html
   My bibliography  Save this article

Modeling of xenobiotic transport and metabolism in virtual hepatic lobule models

Author

Listed:
  • Xiao Fu
  • James P Sluka
  • Sherry G Clendenon
  • Kenneth W Dunn
  • Zemin Wang
  • James E Klaunig
  • James A Glazier

Abstract

Computational models of normal liver function and xenobiotic induced liver damage are increasingly being used to interpret in vitro and in vivo data and as an approach to the de novo prediction of the liver’s response to xenobiotics. The microdosimetry (dose at the level of individual cells) of xenobiotics vary spatially within the liver because of both compound-independent and compound-dependent factors. In this paper, we build model liver lobules to investigate the interplay between vascular structure, blood flow and cellular transport that lead to regional variations in microdosimetry. We then compared simulation results obtained using this complex spatial model with a simpler linear pipe model of a sinusoid and a very simple single box model. We found that variations in diffusive transport, transporter-mediated transport and metabolism, coupled with complex liver sinusoid architecture and blood flow distribution, led to three essential patterns of xenobiotic exposure within the virtual liver lobule: (1) lobular-wise uniform, (2) radially varying and (3) both radially and azimuthally varying. We propose to use these essential patterns of exposure as a reference for selection of model representations when a computational study involves modeling detailed hepatic responses to xenobiotics.

Suggested Citation

  • Xiao Fu & James P Sluka & Sherry G Clendenon & Kenneth W Dunn & Zemin Wang & James E Klaunig & James A Glazier, 2018. "Modeling of xenobiotic transport and metabolism in virtual hepatic lobule models," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-34, September.
  • Handle: RePEc:plo:pone00:0198060
    DOI: 10.1371/journal.pone.0198060
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0198060
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0198060&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0198060?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Lars Ole Schwen & Arne Schenk & Clemens Kreutz & Jens Timmer & María Matilde Bartolomé Rodríguez & Lars Kuepfer & Tobias Preusser, 2015. "Representative Sinusoids for Hepatic Four-Scale Pharmacokinetics Simulations," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-39, July.
    2. John Wambaugh & Imran Shah, 2010. "Simulating Microdosimetry in a Virtual Hepatic Lobule," PLOS Computational Biology, Public Library of Science, vol. 6(4), pages 1-16, April.
    3. James P Sluka & Xiao Fu & Maciej Swat & Julio M Belmonte & Alin Cosmanescu & Sherry G Clendenon & John F Wambaugh & James A Glazier, 2016. "A Liver-Centric Multiscale Modeling Framework for Xenobiotics," PLOS ONE, Public Library of Science, vol. 11(9), pages 1-40, September.
    4. Charlotte Debbaut & Jan Vierendeels & Jennifer H. Siggers & Rodolfo Repetto & Diethard Monbaliu & Patrick Segers, 2014. "A 3D porous media liver lobule model: the importance of vascular septa and anisotropic permeability for homogeneous perfusion," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 17(12), pages 1295-1310, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Quentin Cangelosi & Shawn A Means & Harvey Ho, 2017. "A multi-scale spatial model of hepatitis-B viral dynamics," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-28, December.
    2. James P Sluka & Xiao Fu & Maciej Swat & Julio M Belmonte & Alin Cosmanescu & Sherry G Clendenon & John F Wambaugh & James A Glazier, 2016. "A Liver-Centric Multiscale Modeling Framework for Xenobiotics," PLOS ONE, Public Library of Science, vol. 11(9), pages 1-40, September.
    3. Mohammed H Cherkaoui-Rbati & Stuart W Paine & Peter Littlewood & Cyril Rauch, 2017. "A quantitative systems pharmacology approach, incorporating a novel liver model, for predicting pharmacokinetic drug-drug interactions," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-28, September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0198060. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.