Literature DB >> 24560604

Use of a systems model of drug-induced liver injury (DILIsym(®)) to elucidate the mechanistic differences between acetaminophen and its less-toxic isomer, AMAP, in mice.

Brett A Howell1, Scott Q Siler2, Paul B Watkins2.   

Abstract

Acetaminophen (APAP) has been used as a probe drug to investigate drug-induced liver injury (DILI). In mice, 3'-hydroxyacetanilide (AMAP), a less-toxic isomer of APAP, has also been studied as a negative control. Various mechanisms for the divergence in toxicological response between the two isomers have been proposed. This work utilized a mechanistic, mathematical model of DILI to test the plausibility of four mechanistic hypotheses. Simulation results were compared to an array of measured endpoints in mice treated with APAP or AMAP. The four hypotheses included: (1) quantitative differences in drug metabolism profiles as a result of different affinities for the relevant enzymes; (2) differences in the amount of reactive metabolites produced due to cytochrome P450 (CYP450) inhibition by the AMAP reactive metabolites; (3) differences in the rate of conjugation between the reactive metabolites and proteins; (4) differences in the downstream effects or potencies of the reactive metabolites on vital components within hepatocytes. The simulations did not support hypotheses 3 or 4 as the most likely hypotheses underlying the difference in hepatoxic potential of APAP and AMAP. Rather, the simulations supported hypotheses 1 and 2 (less reactive metabolite produced per mole of AMAP relative to APAP). Within the simulations, the difference in reactive metabolite formation was equally likely to have occurred from differential affinities for the relevant drug metabolism enzymes or from direct CYP450 inhibition by the AMAP reactive metabolite. The demonstrated method of using simulation tools to probe the importance of possible contributors to toxicological observations is generally applicable across species.
Copyright © 2014. Published by Elsevier Ireland Ltd.

Entities:  

Keywords:  AMAP; Acetaminophen; Drug induced liver injury (DILI); Hepatotoxicity; Mechanistic model; Mice; Paracetamol; Pharmacokinetic/pharmacodynamic (PKPD) model; Reactive metabolite; Simulation

Mesh:

Substances:

Year:  2014        PMID: 24560604     DOI: 10.1016/j.toxlet.2014.02.007

Source DB:  PubMed          Journal:  Toxicol Lett        ISSN: 0378-4274            Impact factor:   4.372


  9 in total

1.  Quantitative Chemical Proteomic Profiling of the in Vivo Targets of Reactive Drug Metabolites.

Authors:  Landon R Whitby; R Scott Obach; Gabriel M Simon; Matthew M Hayward; Benjamin F Cravatt
Journal:  ACS Chem Biol       Date:  2017-06-21       Impact factor: 5.100

Review 2.  Sandwich-Cultured Hepatocytes as a Tool to Study Drug Disposition and Drug-Induced Liver Injury.

Authors:  Kyunghee Yang; Cen Guo; Jeffrey L Woodhead; Robert L St Claire; Paul B Watkins; Scott Q Siler; Brett A Howell; Kim L R Brouwer
Journal:  J Pharm Sci       Date:  2016-02       Impact factor: 3.534

Review 3.  Preclinical models of idiosyncratic drug-induced liver injury (iDILI): Moving towards prediction.

Authors:  Antonio Segovia-Zafra; Daniel E Di Zeo-Sánchez; Carlos López-Gómez; Zeus Pérez-Valdés; Eduardo García-Fuentes; Raúl J Andrade; M Isabel Lucena; Marina Villanueva-Paz
Journal:  Acta Pharm Sin B       Date:  2021-11-18       Impact factor: 11.413

4.  Mechanistic Modelling of Drug-Induced Liver Injury: Investigating the Role of Innate Immune Responses.

Authors:  Lisl Km Shoda; Christina Battista; Scott Q Siler; David S Pisetsky; Paul B Watkins; Brett A Howell
Journal:  Gene Regul Syst Bio       Date:  2017-05-30

Review 5.  The DILI-sim Initiative: Insights into Hepatotoxicity Mechanisms and Biomarker Interpretation.

Authors:  Paul B Watkins
Journal:  Clin Transl Sci       Date:  2019-03       Impact factor: 4.689

6.  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

7.  Elucidating Differences in the Hepatotoxic Potential of Tolcapone and Entacapone With DILIsym(®), a Mechanistic Model of Drug-Induced Liver Injury.

Authors:  D M Longo; Y Yang; P B Watkins; B A Howell; S Q Siler
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2016-01-13

8.  A model qualification method for mechanistic physiological QSP models to support model-informed drug development.

Authors:  C M Friedrich
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2016-01-26

9.  Comparative metabonomic analysis of hepatotoxicity induced by acetaminophen and its less toxic meta-isomer.

Authors:  Michael Kyriakides; Lea Maitre; Brendan D Stamper; Isaac Mohar; Terrance J Kavanagh; John Foster; Ian D Wilson; Elaine Holmes; Sidney D Nelson; Muireann Coen
Journal:  Arch Toxicol       Date:  2016-01-09       Impact factor: 5.153

  9 in total

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