Literature DB >> 26159262

Preventing Drug-Induced Liver Injury: How Useful Are Animal Models?

François Ballet1.   

Abstract

Drug-induced liver injury (DILI) is the most common organ toxicity encountered in regulatory animal toxicology studies required prior to the clinical development of new drug candidates. Very few reports have evaluated the value of these studies for predicting DILI in humans. Indeed, compounds inducing liver toxicity in regulatory toxicology studies are not always correlated with a risk of DILI in humans. Conversely, compounds associated with the occurrence of DILI in phase 3 studies or after market release are often tested negative in regulatory toxicology studies. Idiosyncratic DILI is a rare event that is precipitated in an individual by the simultaneous occurrence of several critical factors. These factors may relate to the host (e.g. human leukocyte antigen polymorphism, inflammation), the drug (e.g. reactive metabolites) or the environment (e.g. diet/microbiota). This type of toxicity therefore cannot be detected in conventional animal toxicology studies. Several animal models have recently been proposed for the identification of drugs with the potential to cause idiosyncratic DILI: rats treated with lipopolysaccharide, Sod2(+/-) mice, panels of inbred mouse strains or chimeric mice with humanized livers. These models are not suitable for use in the prospective screening of new drug candidates. Humans therefore constitute the best model for predicting and assessing idiopathic DILI.
© 2015 S. Karger AG, Basel.

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Mesh:

Year:  2015        PMID: 26159262     DOI: 10.1159/000374093

Source DB:  PubMed          Journal:  Dig Dis        ISSN: 0257-2753            Impact factor:   2.404


  5 in total

Review 1.  Strategies for Early Prediction and Timely Recognition of Drug-Induced Liver Injury: The Case of Cyclin-Dependent Kinase 4/6 Inhibitors.

Authors:  Emanuel Raschi; Fabrizio De Ponti
Journal:  Front Pharmacol       Date:  2019-10-24       Impact factor: 5.810

Review 2.  Preclinical models of idiosyncratic drug-induced liver injury (iDILI): Moving towards prediction.

Authors:  Antonio Segovia-Zafra; Daniel E Di Zeo-Sánchez; Carlos López-Gómez; Zeus Pérez-Valdés; Eduardo García-Fuentes; Raúl J Andrade; M Isabel Lucena; Marina Villanueva-Paz
Journal:  Acta Pharm Sin B       Date:  2021-11-18       Impact factor: 11.413

Review 3.  Humanized Mice Are Instrumental to the Study of Plasmodium falciparum Infection.

Authors:  Rajeev K Tyagi; Nikunj Tandel; Richa Deshpande; Robert W Engelman; Satish D Patel; Priyanka Tyagi
Journal:  Front Immunol       Date:  2018-12-13       Impact factor: 7.561

4.  A Long-term Co-perfused Disseminated Tuberculosis-3D Liver Hollow Fiber Model for Both Drug Efficacy and Hepatotoxicity in Babies.

Authors:  Shashikant Srivastava; Jotam G Pasipanodya; Geetha Ramachandran; Devyani Deshpande; Stephen Shuford; Howland E Crosswell; Kayle N Cirrincione; Carleton M Sherman; Soumya Swaminathan; Tawanda Gumbo
Journal:  EBioMedicine       Date:  2016-02-27       Impact factor: 8.143

5.  Computational Models Using Multiple Machine Learning Algorithms for Predicting Drug Hepatotoxicity with the DILIrank Dataset.

Authors:  Robert Ancuceanu; Marilena Viorica Hovanet; Adriana Iuliana Anghel; Florentina Furtunescu; Monica Neagu; Carolina Constantin; Mihaela Dinu
Journal:  Int J Mol Sci       Date:  2020-03-19       Impact factor: 5.923

  5 in total

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