Literature DB >> 26348886

Timescale analysis of a mathematical model of acetaminophen metabolism and toxicity.

Dennis Reddyhoff1, John Ward2, Dominic Williams3, Sophie Regan4, Steven Webb4.   

Abstract

Acetaminophen is a widespread and commonly used painkiller all over the world. However, it can cause liver damage when taken in large doses or at repeated chronic doses. Current models of acetaminophen metabolism are complex, and limited to numerical investigation though provide results that represent clinical investigation well. We derive a mathematical model based on mass action laws aimed at capturing the main dynamics of acetaminophen metabolism, in particular the contrast between normal and overdose cases, whilst remaining simple enough for detailed mathematical analysis that can identify key parameters and quantify their role in liver toxicity. We use singular perturbation analysis to separate the different timescales describing the sequence of events in acetaminophen metabolism, systematically identifying which parameters dominate during each of the successive stages. Using this approach we determined, in terms of the model parameters, the critical dose between safe and overdose cases, timescales for exhaustion and regeneration of important cofactors for acetaminophen metabolism and total toxin accumulation as a fraction of initial dose.
Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Acetaminophen; Analysis; Metabolism; Modelling; Toxicology

Mesh:

Substances:

Year:  2015        PMID: 26348886     DOI: 10.1016/j.jtbi.2015.08.021

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  8 in total

1.  Human Ex-Vivo Liver Model for Acetaminophen-induced Liver Damage.

Authors:  Thomas Schreiter; Jan-Peter Sowa; Martin Schlattjan; Jürgen Treckmann; Andreas Paul; Karl-Heinz Strucksberg; Hideo A Baba; Margarete Odenthal; Robert K Gieseler; Guido Gerken; Gavin E Arteel; Ali Canbay
Journal:  Sci Rep       Date:  2016-08-23       Impact factor: 4.379

Review 2.  Innovative organotypic in vitro models for safety assessment: aligning with regulatory requirements and understanding models of the heart, skin, and liver as paradigms.

Authors:  Chris S Pridgeon; Constanze Schlott; Min Wei Wong; Minne B Heringa; Tobias Heckel; Joe Leedale; Laurence Launay; Vitalina Gryshkova; Stefan Przyborski; Rachel N Bearon; Emma L Wilkinson; Tahera Ansari; John Greenman; Delilah F G Hendriks; Sue Gibbs; James Sidaway; Rowena L Sison-Young; Paul Walker; Mike J Cross; B Kevin Park; Chris E P Goldring
Journal:  Arch Toxicol       Date:  2018-01-23       Impact factor: 5.153

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

Authors:  Xiao Fu; James P Sluka; Sherry G Clendenon; Kenneth W Dunn; Zemin Wang; James E Klaunig; James A Glazier
Journal:  PLoS One       Date:  2018-09-13       Impact factor: 3.240

4.  Systems Toxicology Approach to Identifying Paracetamol Overdose.

Authors:  Chantelle L Mason; Joseph Leedale; Sotiris Tasoulis; Ian Jarman; Daniel J Antoine; Steven D Webb
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2018-04-18

5.  Unraveling the effect of intra- and intercellular processes on acetaminophen-induced liver injury.

Authors:  M M Heldring; A H Shaw; J B Beltman
Journal:  NPJ Syst Biol Appl       Date:  2022-08-06

6.  Galangin Nanoparticles Protect Acetaminophen-Induced Liver Injury: A Biochemical and Histopathological Approach.

Authors:  Arezoo Mohammadi; Sohrab Kazemi; Inas Molayousefian; Marzieh Pirzadeh; Ali Akbar Moghadamnia
Journal:  Evid Based Complement Alternat Med       Date:  2022-08-10       Impact factor: 2.650

7.  Simulation of the crosstalk between glucose and acetaminophen metabolism in a liver zonation model.

Authors:  Kazuhiro Maeda; Shuta Hagimori; Masahiro Sugimoto; Yasuyuki Sakai; Masaki Nishikawa
Journal:  Front Pharmacol       Date:  2022-09-23       Impact factor: 5.988

Review 8.  Computational Modeling in Liver Surgery.

Authors:  Bruno Christ; Uta Dahmen; Karl-Heinz Herrmann; Matthias König; Jürgen R Reichenbach; Tim Ricken; Jana Schleicher; Lars Ole Schwen; Sebastian Vlaic; Navina Waschinsky
Journal:  Front Physiol       Date:  2017-11-14       Impact factor: 4.566

  8 in total

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