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dc.contributor.authorDi Zeo-Sánchez, Daniel Enrique
dc.contributor.authorSegovia-Zafra, Antonio
dc.contributor.authorMatilla-Cabello, Gonzalo
dc.contributor.authorPinazo-Bandera, José M.
dc.contributor.authorAndrade-Bellido, Raúl Jesús 
dc.contributor.authorLucena-González, María Isabel 
dc.contributor.authorVillanueva-Paz, Marina
dc.date.accessioned2025-03-19T09:58:42Z
dc.date.available2025-03-19T09:58:42Z
dc.date.issued2022-09-16
dc.identifier.citationDaniel E. Di Zeo-Sánchez, Antonio Segovia-Zafra, Gonzalo Matilla-Cabello, José M. Pinazo-Bandera, Raúl J. Andrade, M. Isabel Lucena & Marina Villanueva-Paz (2022) Modeling drug-induced liver injury: current status and future prospects, Expert Opinion on Drug Metabolism & Toxicology, 18:9, 555-573, DOI: 10.1080/17425255.2022.2122810es_ES
dc.identifier.urihttps://hdl.handle.net/10630/38162
dc.description.abstractIntroduction Idiosyncratic drug-induced liver injury (iDILI) is a challenging and unpredictable multifactorial condition. At present, validated preclinical models for the prediction of the hepatotoxic potential of a given drug are scarce. Areas covered This review intends to sum up the current knowledge about in vitro (including hepatocyte 2D cultures, cocultures with non-parenchymal cells, 3D configurations and non-typical closer to reality in vitro models), in vivo (covering models for immunological and oxidative stress features, humanized mouse-based and non-rodent models) and in silico approaches for iDILI modeling, highlighting the recent advances in each topic. Expert opinion The future strategy for iDILI modeling should be patient-centered. Future animal and cell-based models, with more predictive value, will be easier to design by using a more translational approach based on mechanisms demonstrated in humans. Genetic and epigenetic information gathered from iDILI patients, together with data from in vitro and in vivo studies, could be used to develop sophisticated predictive in silico models to find compounds with iDILI potential. Collecting genetic, metabolic, and biomarker data from patient cohorts might be another option to create a ‘fingerprint’ characteristic of people at risk, allowing for the development of new, mechanistic strategies to enhance iDILI in vitro evaluation.es_ES
dc.description.sponsorshipThis work was supported by grants of Instituto de Salud Carlos III, cofounded by European Union (contract numbers: PI21/01248, PI19-00883, PT 20/00127, UMA18-FEDERJA-194, PY18-3364) and grants of Consejería de Salud de Andalucía cofounded by FEDER (contract number: PEMP-0127-2020).es_ES
dc.language.isoenges_ES
dc.publisherTaylor & Francises_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectHepatotoxicidad - Aspectos genéticoses_ES
dc.subjectEstrés oxidativoes_ES
dc.subjectHígado - Heridas y lesioneses_ES
dc.subject.otherHepatotoxicityes_ES
dc.subject.otherDILIes_ES
dc.subject.otheriDILIes_ES
dc.subject.otherPreclinical modeles_ES
dc.subject.otherOxidative stresses_ES
dc.subject.otherMitochondrial damagees_ES
dc.subject.otherImmune responsees_ES
dc.subject.otherPredictionses_ES
dc.subject.otherMechanismses_ES
dc.titleModeling drug-induced liver injury: current status and future prospects.es_ES
dc.typejournal articlees_ES
dc.centroFacultad de Medicinaes_ES
dc.identifier.doi10.1080/17425255.2022.2122810
dc.type.hasVersionVoRes_ES
dc.departamentoFarmacología y Pediatríaes_ES
dc.rights.accessRightsopen accesses_ES


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