Literature DB >> 33153971

Application of the DILIsym® Quantitative Systems Toxicology drug-induced liver injury model to evaluate the carcinogenic hazard potential of acetaminophen.

Gary Eichenbaum1, Kyunghee Yang2, Yeshitila Gebremichael2, Brett A Howell2, F Jay Murray3, David Jacobson-Kram4, Hartmut Jaeschke5, Edwin Kuffner6, Cathy K Gelotte7, John C K Lai7, Daniele Wikoff8, Evren Atillasoy7.   

Abstract

In 2019, the California Office of Environmental Health Hazard Assessment (OEHHA) initiated a review of the carcinogenic hazard potential of acetaminophen. The objective of the analysis herein was to inform this review by assessing whether variability in patient baseline characteristics (e.g. baseline glutathione (GSH) levels, pharmacokinetics, and capacity of hepatic antioxidants) leads to potential differences in carcinogenic hazard potential at different dosing schemes: maximum labeled doses of 4 g/day, repeated doses above the maximum labeled dose (>4-12 g/day), and acute overdoses of acetaminophen (>15 g). This was achieved by performing simulations of acetaminophen exposure in thousands of diverse virtual patients scenarios using the DILIsym® Quantitative Systems Toxicology (QST) model. Simulations included assessments of the dose and exposure response for toxicity and mode of cell death based on evaluations of the kinetics of changes of: GSH, N-acetyl-p-benzoquinone-imine (NAPQI), protein adducts, mitochondrial dysfunction, and hepatic cell death. Results support that, at therapeutic doses, cellular GSH binds to NAPQI providing sufficient buffering capacity to limit protein adduct formation and subsequent oxidative stress. Simulations evaluating repeated high-level supratherapeutic exposures or acute overdoses indicate that cell death precedes DNA damage that could result in carcinogenicity and thus acetaminophen does not present a carcinogenicity hazard to humans at any dose.
Copyright © 2020. Published by Elsevier Inc.

Entities:  

Keywords:  Acetaminophen; Carcinogenicity; Hazard; Mechanisms; Modeling; Paracetamol; Safety; Simulations; Toxicity

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Year:  2020        PMID: 33153971     DOI: 10.1016/j.yrtph.2020.104788

Source DB:  PubMed          Journal:  Regul Toxicol Pharmacol        ISSN: 0273-2300            Impact factor:   3.271


  3 in total

1.  Comments on "DNA-binding activities of compounds acting as enzyme inhibitors, ion channel blockers and receptor binders."

Authors:  Hartmut Jaeschke
Journal:  Chem Biol Interact       Date:  2021-11-26       Impact factor: 5.192

Review 2.  Recommendations for the use of the acetaminophen hepatotoxicity model for mechanistic studies and how to avoid common pitfalls.

Authors:  Hartmut Jaeschke; Olamide B Adelusi; Jephte Y Akakpo; Nga T Nguyen; Giselle Sanchez-Guerrero; David S Umbaugh; Wen-Xing Ding; Anup Ramachandran
Journal:  Acta Pharm Sin B       Date:  2021-09-30       Impact factor: 11.413

3.  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
  3 in total

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