Literature DB >> 34171436

Advanced preclinical models for evaluation of drug-induced liver injury - consensus statement by the European Drug-Induced Liver Injury Network [PRO-EURO-DILI-NET].

Jose C Fernandez-Checa1, Pierre Bagnaninchi2, Hui Ye3, Pau Sancho-Bru4, Juan M Falcon-Perez5, Felix Royo6, Carmen Garcia-Ruiz7, Ozlen Konu8, Joana Miranda9, Oleg Lunov10, Alexandr Dejneka10, Alistair Elfick11, Alison McDonald11, Gareth J Sullivan12, Guruprasad P Aithal13, M Isabel Lucena14, Raul J Andrade15, Bernard Fromenty16, Michel Kranendonk17, Francisco Javier Cubero18, Leonard J Nelson19.   

Abstract

Drug-induced liver injury (DILI) is a major cause of acute liver failure (ALF) and one of the leading indications for liver transplantation in Western societies. Given the wide use of both prescribed and over the counter drugs, DILI has become a major health issue for which there is a pressing need to find novel and effective therapies. Although significant progress has been made in understanding the molecular mechanisms underlying DILI, our incomplete knowledge of its pathogenesis and inability to predict DILI is largely due to both discordance between human and animal DILI in preclinical drug development and a lack of models that faithfully recapitulate complex pathophysiological features of human DILI. This is exemplified by the hepatotoxicity of acetaminophen (APAP) overdose, a major cause of ALF because of its extensive worldwide use as an analgesic. Despite intensive efforts utilising current animal and in vitro models, the mechanisms involved in the hepatotoxicity of APAP are still not fully understood. In this expert Consensus Statement, which is endorsed by the European Drug-Induced Liver Injury Network, we aim to facilitate and outline clinically impactful discoveries by detailing the requirements for more realistic human-based systems to assess hepatotoxicity and guide future drug safety testing. We present novel insights and discuss major players in APAP pathophysiology, and describe emerging in vitro and in vivo pre-clinical models, as well as advanced imaging and in silico technologies, which may improve prediction of clinical outcomes of DILI.
Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Acetaminophen; humanized models; iPSCs; liver-on-a-chip

Mesh:

Substances:

Year:  2021        PMID: 34171436     DOI: 10.1016/j.jhep.2021.06.021

Source DB:  PubMed          Journal:  J Hepatol        ISSN: 0168-8278            Impact factor:   25.083


  6 in total

Review 1.  Challenges and Future of Drug-Induced Liver Injury Research-Laboratory Tests.

Authors:  Sabine Weber; Alexander L Gerbes
Journal:  Int J Mol Sci       Date:  2022-05-27       Impact factor: 6.208

2.  C-Reactive Protein, a Promising Approach for Acetaminophen Hepatotoxicity.

Authors:  Carmen Garcia-Ruiz; Jose C Fernandez-Checa
Journal:  Cell Mol Gastroenterol Hepatol       Date:  2021-10-31

Review 3.  New Perspectives to Improve Mesenchymal Stem Cell Therapies for Drug-Induced Liver Injury.

Authors:  Fernando Ezquer; Ya-Lin Huang; Marcelo Ezquer
Journal:  Int J Mol Sci       Date:  2022-02-28       Impact factor: 5.923

4.  Gut Commensal Fungi Protect Against Acetaminophen-Induced Hepatotoxicity by Reducing Cyp2a5 Expression in Mice.

Authors:  Zhuoen He; Yunong Zeng; Shuyu Li; Lizhen Lin; Ruisi Zhou; Fangzhao Wang; Wenjiao Yang; Yuhao Wu; Junhao Yang; Ali Chen; Zhang Wang; Hong Yang; Xiaoshan Zhao; Wei Xiao; Lei Li; Shenhai Gong
Journal:  Front Microbiol       Date:  2022-07-12       Impact factor: 6.064

Review 5.  In Vitro Models for Studying Chronic Drug-Induced Liver Injury.

Authors:  M Teresa Donato; Gloria Gallego-Ferrer; Laia Tolosa
Journal:  Int J Mol Sci       Date:  2022-09-28       Impact factor: 6.208

Review 6.  Mitochondria as the Target of Hepatotoxicity and Drug-Induced Liver Injury: Molecular Mechanisms and Detection Methods.

Authors:  Milos Mihajlovic; Mathieu Vinken
Journal:  Int J Mol Sci       Date:  2022-03-18       Impact factor: 5.923

  6 in total

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