TY - JOUR
T1 - Advanced preclinical models for evaluation of drug-induced liver injury - consensus statement by the European Drug-Induced Liver Injury Network [PRO-EURO-DILI-NET]
AU - Fernandez-Checa, Jose C
AU - Bagnaninchi, Pierre
AU - Ye, Hui
AU - Sancho-Bru, Pau
AU - Falcon-Perez, Juan M
AU - Royo, Felix
AU - Garcia-Ruiz, Carmen
AU - Konu, Ozlen
AU - Miranda, Joana
AU - Lunov, Oleg
AU - Dejneka, Alexandr
AU - Elfick, Alistair
AU - McDonald, Alison
AU - Sullivan, Gareth J
AU - Aithal, Guruprasad P
AU - Lucena, M Isabel
AU - Andrade, Raul J
AU - Fromenty, Bernard
AU - Kranendonk, Michel
AU - Cubero, Francisco Javier
AU - Nelson, Leonard J
N1 - Funding: This work is supported by COST Action CA17112, www.cost.eu. LJN is supported by AMMF 2018/117; with support from grants - BBSRC (Grant BB/L023687/1), EPSRC (IAA Grant PIII013). MK and JM were partly funded by the Fundação para a Ciencia e a Tecnologia (FCT, Portugal), through grants UID/BIM/0009/2020 for the Research Center for Toxicogenomics and Human Health-(ToxOmics) and PTDC/MED-TOX/29183/2017 and UIDB/04138/2020 for the iMed.ULisboa, respectively. OK is supported by the Scientific and Technological Research Council of Turkey (TUBITAK 116Z388) and COST Action CA17112. PSB is supported by the Fondo de Investigación Sanitaria Carlos III, cofinanced by the Fondo Europeo de Desarrollo Regional (FEDER), Unión Europea, “Una manera de hacer Europa” (FIS PI20/00765, PI17/00673), DTS18/00088 and Miguel Servet (CPII16/00041); AGAUR 2019_PROD_00055; NIHAAA 1U01AA026972-01. OL is supported by the Czech Ministry of Education, Youth and Sports (Project No. LTC19040). FJC is supported by the MINECO Retos SAF2016-78711 EXOHEP-CM S2017/BMD-3727, NanoLiver-CM Y2018/NMT-4949, ERAB Ref. EA 18/14, AMMF 2018/117, UCM-25-2019 and COST Action CA17112, RYC-2014-15242 and Gilead Liver Research 2018. JCFC and CGR are supported from grants and SAF2017-85877R, PID2019-111669RB-100 the CIBEREHD; the center grant P50AA011999 Southern California Research Center for ALPD and Cirrhosis funded by NIAAA/NIH; as well as support from AGAUR of the Generalitat de Catalunya SGR-2017-1112, the “ER stress-mitochondrial cholesterol axis in obesity-associated insulin resistance and comorbidities”-Ayudas FUNDACION BBVA and the Red Nacional 2018-102799-T de Enfermedades Metabólicas y Cáncer, Project 201916/31 from Fundació Marato TV3, and European Cooperation in Science & Technology (COST) ACTION CA17112 Prospective European Drug-Induced Liver Injury Network, www.cost.eu. GJS was partially supported by the Research Council of Norway through its Centres of Excellence funding scheme (Project number 262613).
PY - 2021/10/1
Y1 - 2021/10/1
N2 - 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.
AB - 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.
KW - Acetaminophen
KW - iPSCs
KW - Liver-on-a-chip
KW - Humanized models
U2 - 10.1016/j.jhep.2021.06.021
DO - 10.1016/j.jhep.2021.06.021
M3 - Review article
C2 - 34171436
SN - 0168-8278
VL - 75
SP - 935
EP - 959
JO - Journal of Hepatology
JF - Journal of Hepatology
IS - 4
ER -