Literature DB >> 28053072

The Promise of New Technologies to Reduce, Refine, or Replace Animal Use while Reducing Risks of Drug Induced Liver Injury in Pharmaceutical Development.

Frank D Sistare1, William B Mattes1, Edward L LeCluyse1.   

Abstract

Drug induced liver injury (DILI) has contributed more to marketed pharmaceutical withdrawals and clinical development failures than any other human organ toxicity. DILI seen in animal studies also frequently leads to the discontinuation of promising drug candidates very early in the pipeline. This manuscript reviews and critically assesses the current regulatory expectations; the current drug development approaches, strategies, and gaps; and the numerous exciting opportunities becoming available to address these gaps through technological advances. Emerging integrated pharmaceutical development strategies, while far from uniform, have generally evolved to currently inform early DILI risk potential using supplemental assays for reactive metabolite formation, mitochondrial toxicity, inhibition of bile salt transport, and cellular imaging endpoints including cytotoxicity. Despite these approaches and robust animal testing, significant gaps in addressing human DILI remain. Increasingly sophisticated in vitro humanized test systems, new animal models, emerging computational models, and novel translational biomarkers are being introduced to improve our ability to more accurately predict DILI. Expectations are high for a future state with more predictive tools and problem solving strategies that will improve pharmaceutical discovery and development in relation to understanding human DILI risk potential and make it less dependent on animal studies for successfully developing safer drug candidates. Published by Oxford University Press on behalf of the Institute for Laboratory Animal Research 2016. This work is written by (a) US Government employee(s) and is in the public domain in the US.

Entities:  

Keywords:  computational model; drug induced liver injury; hepatocyte; high-content screening; in vitro; liver biomarkers; predictive toxicology

Mesh:

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Year:  2016        PMID: 28053072     DOI: 10.1093/ilar/ilw025

Source DB:  PubMed          Journal:  ILAR J        ISSN: 1084-2020


  6 in total

1.  In silico approaches in organ toxicity hazard assessment: current status and future needs in predicting liver toxicity.

Authors:  Arianna Bassan; Vinicius M Alves; Alexander Amberg; Lennart T Anger; Scott Auerbach; Lisa Beilke; Andreas Bender; Mark T D Cronin; Kevin P Cross; Jui-Hua Hsieh; Nigel Greene; Raymond Kemper; Marlene T Kim; Moiz Mumtaz; Tobias Noeske; Manuela Pavan; Julia Pletz; Daniel P Russo; Yogesh Sabnis; Markus Schaefer; David T Szabo; Jean-Pierre Valentin; Joerg Wichard; Dominic Williams; David Woolley; Craig Zwickl; Glenn J Myatt
Journal:  Comput Toxicol       Date:  2021-09-09

2.  The Modular µSiM: A Mass Produced, Rapidly Assembled, and Reconfigurable Platform for the Study of Barrier Tissue Models In Vitro.

Authors:  Molly C McCloskey; Pelin Kasap; S Danial Ahmad; Shiuan-Haur Su; Kaihua Chen; Mehran Mansouri; Natalie Ramesh; Hideaki Nishihara; Yury Belyaev; Vinay V Abhyankar; Stefano Begolo; Benjamin H Singer; Kevin F Webb; Katsuo Kurabayashi; Jonathan Flax; Richard E Waugh; Britta Engelhardt; James L McGrath
Journal:  Adv Healthc Mater       Date:  2022-08-15       Impact factor: 11.092

3.  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

4.  Challenges and opportunities for the future of monoclonal antibody development: Improving safety assessment and reducing animal use.

Authors:  Fiona Sewell; Kathryn Chapman; Jessica Couch; Maggie Dempster; Shawn Heidel; Lise Loberg; Curtis Maier; Timothy K Maclachlan; Marque Todd; Jan Willem van der Laan
Journal:  MAbs       Date:  2017-05-05       Impact factor: 5.857

5.  Application of a Rat Liver Drug Bioactivation Transcriptional Response Assay Early in Drug Development That Informs Chemically Reactive Metabolite Formation and Potential for Drug-induced Liver Injury.

Authors:  James J Monroe; Keith Q Tanis; Alexei A Podtelezhnikov; Truyen Nguyen; Sam V Machotka; Donna Lynch; Raymond Evers; Jairam Palamanda; Randy R Miller; Todd Pippert; Tamara D Cabalu; Timothy E Johnson; Amy G Aslamkhan; Wen Kang; Alex M Tamburino; Kaushik Mitra; Nancy G B Agrawal; Frank D Sistare
Journal:  Toxicol Sci       Date:  2020-09-01       Impact factor: 4.849

6.  Mechanistic Investigations Support Liver Safety of Ubrogepant.

Authors:  Brenda Smith; Josh Rowe; Paul B Watkins; Messoud Ashina; Jeffrey L Woodhead; Frank D Sistare; Peter J Goadsby
Journal:  Toxicol Sci       Date:  2020-09-01       Impact factor: 4.849

  6 in total

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