Evidence map›Paper›PMID 30212461›Full record

ArticlePloS one2018

Modeling of xenobiotic transport and metabolism in virtual hepatic lobule models.

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

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.3field-weighted citation impact, top 9% 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

18 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Frontiers in bioengineering and biotechnology · 2023
    Article
  4. Review
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  6. Article
  7. Review
  8. Article
  9. The Indiana O'Brien Center for Advanced Renal Microscopic Analysis.American journal of physiology. Renal physiology · 2021
    Review
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  11. Article
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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

7 authors at 2 institutions in 1 country.

Xiao FuBiocomplexity Institute, Indiana University, Bloomington, IN, United States of America.
James P SlukaBiocomplexity Institute, Indiana University, Bloomington, IN, United States of America.ORCID 0000-0002-5901-1404
Sherry G ClendenonBiocomplexity Institute, Indiana University, Bloomington, IN, United States of America.
Kenneth W DunnSchool of Medicine, Indiana University, Indianapolis, IN, United States of America.
Zemin WangSchool of Public Health, Indiana University, Bloomington, IN, United States of America.
James E KlaunigSchool of Public Health, Indiana University, Bloomington, IN, United States of America.
James A GlazierBiocomplexity Institute, Indiana University, Bloomington, IN, United States of America.
Indiana University Bloomington · USIndiana University – Purdue University Indianapolis · US

Funding

PROBE DELIVERY COREP30DK079312 · NIDDK · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI MOLITORIS, BRUCE A · 2007 to 2021
$17.1M
MSM - Multiscale Studies of Segmentation in Vertebrate *R01GM076692 · NIGMS · TRUSTEES OF INDIANA UNIVERSITY · PI GLAZIER, JAMES ALEXANDER, STERN, CLAUDIO D · 2005 to 2015
$5.5M
Development of a Multiscale Mechanistic Simulation of Acetaminophen Induced LiverU01GM111243 · NIGMS · TRUSTEES OF INDIANA UNIVERSITY · PI DUNN, KENNETH W, GLAZIER, JAMES ALEXANDER · 2014 to 2017
$2.1M
Competitive Renewal of Development, Improvement and Extension of the Tissue Simulation Environment - CompuCell3DR01GM122424 · NIGMS · TRUSTEES OF INDIANA UNIVERSITY · PI GLAZIER, JAMES ALEXANDER · 2017 to 2020
$1.7M
NIDDK NIH HHS P30 DK079312NIGMS NIH HHS R01 GM076692NIGMS NIH HHS R01 GM122424NIGMS NIH HHS U01 GM111243
6 · The paper itself

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.

Indexed as

Biological TransportBlood Flow VelocityComputer SimulationDiffusionHumansLiverMetabolic Flux AnalysisModels, AnatomicModels, BiologicalXenobioticsXenobiotics

Identifiers

PMID30212461
PMCPMC6136710
OpenAlexW2889980264

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.