Literature DB >> 26206150

Setting Clinical Exposure Levels of Concern for Drug-Induced Liver Injury (DILI) Using Mechanistic in vitro Assays.

Falgun Shah1, Louis Leung2, Hugh A Barton2, Yvonne Will2, A David Rodrigues2, Nigel Greene2, Michael D Aleo2.   

Abstract

Severe drug-induced liver injury (DILI) remains a major safety issue due to its frequency of occurrence, idiosyncratic nature, poor prognosis, and diverse underlying mechanisms. Numerous experimental approaches have been published to improve human DILI prediction with modest success. A retrospective analysis of 125 drugs (70 = most-DILI, 55 = no-DILI) from the Food and Drug Administration Liver Toxicity Knowledge Base was used to investigate DILI prediction based on consideration of human exposure alone or in combination with mechanistic assays of hepatotoxic liabilities (cytotoxicity, bile salt export pump inhibition, or mitochondrial inhibition/uncoupling). Using this dataset, human plasma Cmax,total ≥ 1.1 µM alone distinguished most-DILI from no-DILI compounds with high sensitivity/specificity (80/73%). Accounting for human exposure improved the sensitivity/specificity for each assay and helped to derive predictive safety margins. Compounds with plasma Cmax,total ≥ 1.1 µM and triple liabilities had significantly higher odds ratio for DILI than those with single/dual liabilities. Using this approach, a subset of recent pharmaceuticals with evidence of liver injury during clinical development was recognized as potential hepatotoxicants. In summary, plasma Cmax,total ≥ 1.1 µM along with multiple mechanistic liabilities is a major driver for predictions of human DILI potential. In applying this approach during drug development the challenge will be generating accurate estimates of plasma Cmax,total at efficacious doses in advance of generating true exposure data from clinical studies. In the meantime, drug candidates with multiple hepatotoxic liabilities should be deprioritized, since they have the highest likelihood of causing DILI in case their efficacious plasma Cmax,total in humans is higher than anticipated.
© The Author 2015. Published by Oxford University Press on behalf of the Society of Toxicology. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Liver Toxicity Knowledge Base; drug-induced liver injury; plasma exposure; safety margin

Mesh:

Year:  2015        PMID: 26206150     DOI: 10.1093/toxsci/kfv152

Source DB:  PubMed          Journal:  Toxicol Sci        ISSN: 1096-0929            Impact factor:   4.849


  20 in total

1.  Measures of BSEP Inhibition In Vitro Are Not Useful Predictors of DILI.

Authors:  Rosa Chan; Leslie Z Benet
Journal:  Toxicol Sci       Date:  2018-04-01       Impact factor: 4.849

Review 2.  Application of hepatocyte-like cells to enhance hepatic safety risk assessment in drug discovery.

Authors:  Dominic P Williams
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2018-07-05       Impact factor: 6.237

3.  Evaluation of the Relevance of DILI Predictive Hypotheses in Early Drug Development: Review of In Vitro Methodologies vs BDDCS Classification.

Authors:  Rosa Chan; Leslie Z Benet
Journal:  Toxicol Res (Camb)       Date:  2018-04-18       Impact factor: 3.524

4.  Discovery of 4-alkoxy-6-methylpicolinamide negative allosteric modulators of metabotropic glutamate receptor subtype 5.

Authors:  Andrew S Felts; Katrina A Bollinger; Christopher J Brassard; Alice L Rodriguez; Ryan D Morrison; J Scott Daniels; Anna L Blobaum; Colleen M Niswender; Carrie K Jones; P Jeffrey Conn; Kyle A Emmitte; Craig W Lindsley
Journal:  Bioorg Med Chem Lett       Date:  2018-11-10       Impact factor: 2.823

5.  Synergistic Cytotoxicity from Drugs and Cytokines In Vitro as an Approach to Classify Drugs According to Their Potential to Cause Idiosyncratic Hepatotoxicity: A Proof-of-Concept Study.

Authors:  Ashley R Maiuri; Bronlyn Wassink; Jonathan D Turkus; Anna B Breier; Theresa Lansdell; Gurpreet Kaur; Sarah L Hession; Patricia E Ganey; Robert A Roth
Journal:  J Pharmacol Exp Ther       Date:  2017-07-07       Impact factor: 4.030

Review 6.  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

7.  Mechanism-driven modeling of chemical hepatotoxicity using structural alerts and an in vitro screening assay.

Authors:  Xuelian Jia; Xia Wen; Daniel P Russo; Lauren M Aleksunes; Hao Zhu
Journal:  J Hazard Mater       Date:  2022-05-20       Impact factor: 14.224

8.  The Identification of Pivotal Transcriptional Factors Mediating Cell Responses to Drugs With Drug-Induced Liver Injury Liabilities.

Authors:  Falgun Shah; Alex Medvedev; Anne Mai Wassermann; Marian Brodney; Liying Zhang; Sergei Makarov; Robert V Stanton
Journal:  Toxicol Sci       Date:  2018-03-01       Impact factor: 4.849

9.  Analysis of reproducibility and robustness of a human microfluidic four-cell liver acinus microphysiology system (LAMPS).

Authors:  Courtney Sakolish; Celeste E Reese; Yu-Syuan Luo; Alan Valdiviezo; Mark E Schurdak; Albert Gough; D Lansing Taylor; Weihsueh A Chiu; Lawrence A Vernetti; Ivan Rusyn
Journal:  Toxicology       Date:  2020-12-08       Impact factor: 4.221

Review 10.  Key Challenges and Opportunities Associated with the Use of In Vitro Models to Detect Human DILI: Integrated Risk Assessment and Mitigation Plans.

Authors:  Franck A Atienzar; Eric A Blomme; Minjun Chen; Philip Hewitt; J Gerry Kenna; Gilles Labbe; Frederic Moulin; Francois Pognan; Adrian B Roth; Laura Suter-Dick; Okechukwu Ukairo; Richard J Weaver; Yvonne Will; Donna M Dambach
Journal:  Biomed Res Int       Date:  2016-09-05       Impact factor: 3.411

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