Literature DB >> 27609146

Unraveling cellular pathways contributing to drug-induced liver injury by dynamical modeling.

Isoude A Kuijper1, Huan Yang1, Bob Van De Water1, Joost B Beltman1.   

Abstract

INTRODUCTION: Drug-induced liver injury (DILI) is a significant threat to human health and a major problem in drug development. It is hard to predict due to its idiosyncratic nature and which does not show up in animal trials. Hepatic adaptive stress response pathway activation is generally observed in drug-induced liver injury. Dynamical pathway modeling has the potential to foresee adverse effects of drugs before they go in trial. Ordinary differential equation modeling can offer mechanistic insight, and allows us to study the dynamical behavior of stress pathways involved in DILI. Areas covered: This review provides an overview on the progress of the dynamical modeling of stress and death pathways pertinent to DILI, i.e. pathways relevant for oxidative stress, inflammatory stress, DNA damage, unfolded proteins, heat shock and apoptosis. We also discuss the required steps for applying such modeling to the liver. Expert opinion: Despite the strong progress made since the turn of the century, models of stress pathways have only rarely been specifically applied to describe pathway dynamics for DILI. We argue that with minor changes, in some cases only to parameter values, many of these models can be repurposed for application in DILI research. Combining both dynamical models with in vitro testing might offer novel screening methods for the harmful side-effects of drugs.

Entities:  

Keywords:  Drug induced liver injury (DILI); adverse outcome pathway; cell fate; death pathway; dynamical modeling; ordinary differential equations; predictive toxicology; stress pathway

Mesh:

Year:  2016        PMID: 27609146     DOI: 10.1080/17425255.2017.1234607

Source DB:  PubMed          Journal:  Expert Opin Drug Metab Toxicol        ISSN: 1742-5255            Impact factor:   4.481


  7 in total

Review 1.  What have we learned from animal models of idiosyncratic, drug-induced liver injury?

Authors:  Robert A Roth; Patricia E Ganey
Journal:  Expert Opin Drug Metab Toxicol       Date:  2020-05-04       Impact factor: 4.481

2.  Dynamic modeling of Nrf2 pathway activation in liver cells after toxicant exposure.

Authors:  Steven Hiemstra; Mirjam Fehling-Kaschek; Isoude A Kuijper; Bob van de Water; Daniel Kaschek; Luc J M Bischoff; Lukas S Wijaya; Marcus Rosenblatt; Jeroen Esselink; Allard van Egmond; Jornt Mos; Joost B Beltman; Jens Timmer
Journal:  Sci Rep       Date:  2022-05-05       Impact factor: 4.996

3.  ATF6 Is a Critical Determinant of CHOP Dynamics during the Unfolded Protein Response.

Authors:  Huan Yang; Marije Niemeijer; Bob van de Water; Joost B Beltman
Journal:  iScience       Date:  2020-01-23

Review 4.  High-Content Screening for the Detection of Drug-Induced Oxidative Stress in Liver Cells.

Authors:  MaríaTeresa Donato; Laia Tolosa
Journal:  Antioxidants (Basel)       Date:  2021-01-13

Review 5.  Bridging the Data Gap From in vitro Toxicity Testing to Chemical Safety Assessment Through Computational Modeling.

Authors:  Qiang Zhang; Jin Li; Alistair Middleton; Sudin Bhattacharya; Rory B Conolly
Journal:  Front Public Health       Date:  2018-09-11

6.  Expression profiling of key pathways in rat liver after a one-year feeding trial with transgenic maize MON810.

Authors:  Torsten Stein; Guangyao Ran; Marc Bohmer; Soroush Sharbati; Ralf Einspanier
Journal:  Sci Rep       Date:  2019-12-12       Impact factor: 4.379

7.  Stimulation of de novo glutathione synthesis by nitrofurantoin for enhanced resilience of hepatocytes.

Authors:  Bob van de Water; Marcel Leist; Stefan Schildknecht; Lukas S Wijaya; Carina Rau; Theresa S Braun; Serif Marangoz; Vincent Spegg; Matthijs Vlasveld; Wiebke Albrecht; Tim Brecklinghaus; Hennicke Kamp; Joost B Beltman; Jan G Hengstler
Journal:  Cell Biol Toxicol       Date:  2021-05-22       Impact factor: 6.819

  7 in total

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