2019
DOI: 10.1038/s41573-019-0048-x
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Managing the challenge of drug-induced liver injury: a roadmap for the development and deployment of preclinical predictive models

Abstract: Drug-induced liver injury (DILI) is a patient-specific, temporal, multifactorial pathophysiological process that cannot yet be recapitulated in a single in vitro model. Current pre-clinical testing regimes for the detection of human DILI thus remain inadequate. A systematic and concerted research effort is required to address the deficiencies in current models and to present a defined approach towards the development of new or adapted model systems for DILI prediction. This Perspective defines the current stat… Show more

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Cited by 165 publications
(160 citation statements)
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“…A number of in vitro approaches have been discussed in recent literature [60,[194][195][196][197][198][199][200]. Different companies have varying approaches to predicting toxicity, although many of the main elements are similar.…”
Section: On-going Issuesmentioning
confidence: 99%
“…A number of in vitro approaches have been discussed in recent literature [60,[194][195][196][197][198][199][200]. Different companies have varying approaches to predicting toxicity, although many of the main elements are similar.…”
Section: On-going Issuesmentioning
confidence: 99%
“…Toxicity mechanisms in the liver can involve hepatocyte mitochondrial dysfunction, abnormal transporter activity, abnormal formation of lysosomes, formation of reactive oxygen species, damage of endoplasmic reticulum, and immune-induced injury or damage of nonparenchymal cells that support liver function. 20,128 Similar publications also review the mechanistic causes of cardiotoxicity. [129][130][131][132][133] Cardiotoxicity can lead to the dysfunction of cardiomyocyte physiological mechanisms via drug effects that directly target cardiomyocytes or indirectly affect the function of other cell types that regulate cardiomyocyte function.…”
Section: Toxicitymentioning
confidence: 97%
“…122,123 In addition, both 3D cardiac or hepatic systems can more robustly predict toxicity mechanisms that rely on prolonged drug exposures as their function systematically lasts longer and is more stable than cells in 2D platforms. 41,108,[124][125][126][127] As contexts of use relate to biological mechanisms, Weaver et al 20 proposed a roadmap for implementing preclinical models of hepatotoxicity in which different mechanisms of drug-induced liver injury are comprehensively reviewed. Toxicity mechanisms in the liver can involve hepatocyte mitochondrial dysfunction, abnormal transporter activity, abnormal formation of lysosomes, formation of reactive oxygen species, damage of endoplasmic reticulum, and immune-induced injury or damage of nonparenchymal cells that support liver function.…”
Section: Toxicitymentioning
confidence: 99%
“…This indicates that the technology offered is still in development and not in its final form: only in the last couple of years, the emerging OOAC companies have established partnerships and collaborative relationships with pharmaceutical companies to accelerate the development of OOAC technology and testing [27]. Peer-reviewed publications of analytical results from these operational environments have reported the first successful applications in operational conditions (TRL 7) and confirmed the potential for OOAC to improve the process for predictions of adverse drug reactions before drug candidates enter clinical trials [131,132].…”
Section: Trlmentioning
confidence: 99%