학술논문
Managing the challenge of drug-induced liver injury: a roadmap for the development and deployment of preclinical predictive models
Document Type
Article
Author
Weaver, Richard J.; Blomme, Eric A.; Chadwick, Amy E.; Copple, Ian M.; Gerets, Helga H. J.; Goldring, Christopher E.; Guillouzo, Andre; Hewitt, Philip G.; Ingelman-Sundberg, Magnus; Jensen, Klaus Gjervig; Juhila, Satu; Klingmüller, Ursula; Labbe, Gilles; Liguori, Michael J.; Lovatt, Cerys A.; Morgan, Paul; Naisbitt, Dean J.; Pieters, Raymond H. H.; Snoeys, Jan; van de Water, Bob; Williams, Dominic P.; Park, B. Kevin
Source
Nature Reviews Drug Discovery; February 2020, Vol. 19 Issue: 2 p131-148, 18p
Subject
Language
ISSN
14741776; 14741784
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 preclinical 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 status of available models and the mechanistic understanding of DILI, and proposes our vision of a roadmap for the development of predictive preclinical models of human DILI.