Literature DB >> 24333257

Predictivity of dog co-culture model, primary human hepatocytes and HepG2 cells for the detection of hepatotoxic drugs in humans.

Franck A Atienzar1, Eric I Novik2, Helga H Gerets3, Amit Parekh2, Claude Delatour3, Alvaro Cardenas3, James MacDonald4, Martin L Yarmush5, Stéphane Dhalluin3.   

Abstract

Drug induced liver injury (DILI) is a major cause of attrition during early and late stage drug development. Consequently, there is a need to develop better in vitro primary hepatocyte models from different species for predicting hepatotoxicity in both animals and humans early in drug development. Dog is often chosen as the non-rodent species for toxicology studies. Unfortunately, dog in vitro models allowing long term cultures are not available. The objective of the present manuscript is to describe the development of a co-culture dog model for predicting hepatotoxic drugs in humans and to compare the predictivity of the canine model along with primary human hepatocytes and HepG2 cells. After rigorous optimization, the dog co-culture model displayed metabolic capacities that were maintained up to 2 weeks which indicates that such model could be also used for long term metabolism studies. Most of the human hepatotoxic drugs were detected with a sensitivity of approximately 80% (n=40) for the three cellular models. Nevertheless, the specificity was low approximately 40% for the HepG2 cells and hepatocytes compared to 72.7% for the canine model (n=11). Furthermore, the dog co-culture model showed a higher superiority for the classification of 5 pairs of close structural analogs with different DILI concerns in comparison to both human cellular models. Finally, the reproducibility of the canine system was also satisfactory with a coefficient of correlation of 75.2% (n=14). Overall, the present manuscript indicates that the dog co-culture model may represent a relevant tool to perform chronic hepatotoxicity and metabolism studies.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Chronic studies; Dog co-culture model; HepG2 cells; Hepatotoxicity; Metabolism; Primary human hepatocytes

Mesh:

Substances:

Year:  2013        PMID: 24333257     DOI: 10.1016/j.taap.2013.11.022

Source DB:  PubMed          Journal:  Toxicol Appl Pharmacol        ISSN: 0041-008X            Impact factor:   4.219


  14 in total

1.  Microengineered cell and tissue systems for drug screening and toxicology applications: Evolution of in-vitro liver technologies.

Authors:  O B Usta; W J McCarty; S Bale; M Hegde; R Jindal; A Bhushan; I Golberg; M L Yarmush
Journal:  Technology (Singap World Sci)       Date:  2015-03

Review 2.  Opportunities and challenges in the wider adoption of liver and interconnected microphysiological systems.

Authors:  David J Hughes; Tomasz Kostrzewski; Emma L Sceats
Journal:  Exp Biol Med (Maywood)       Date:  2017-05-15

3.  Phytochemical study and evaluation of cytotoxicity, mutagenicity, cell cycle kinetics and gene expression of Bauhinia holophylla (Bong.) Steud. in HepG2 cells in vitro.

Authors:  Diego Luis Ribeiro; Heloísa Lizotti Cilião; Ana Flávia Leal Specian; Juliana Mara Serpeloni; Marcelo Tempesta De Oliveira; Eliana Aparecida Varanda; Wagner Vilegas; Luiz Leonardo Saldanha; Wilner Martínez-López; Anne Lígia Dokkedal; Ilce Mara Syllos Cólus
Journal:  Cytotechnology       Date:  2017-12-11       Impact factor: 2.058

4.  Oxidative-stress and long-term hepatotoxicity: comparative study in Upcyte human hepatocytes and hepaRG cells.

Authors:  M Teresa Donato; Nuria Jiménez; María Pelechá; Laia Tolosa
Journal:  Arch Toxicol       Date:  2022-02-14       Impact factor: 5.153

5.  Long-term hepatitis B infection in a scalable hepatic co-culture system.

Authors:  Benjamin Y Winer; Tiffany S Huang; Eitan Pludwinski; Brigitte Heller; Felix Wojcik; Gabriel E Lipkowitz; Amit Parekh; Cheul Cho; Anil Shrirao; Tom W Muir; Eric Novik; Alexander Ploss
Journal:  Nat Commun       Date:  2017-07-25       Impact factor: 14.919

6.  Development of Decision Forest Models for Prediction of Drug-Induced Liver Injury in Humans Using A Large Set of FDA-approved Drugs.

Authors:  Huixiao Hong; Shraddha Thakkar; Minjun Chen; Weida Tong
Journal:  Sci Rep       Date:  2017-12-11       Impact factor: 4.379

7.  Chinese herb cinobufagin-reduced cancer pain is associated with increased peripheral opioids by invaded CD3/4/8 lymphocytes.

Authors:  Tao Chen; Shenjun Yuan; Xin-Nian Wan; Ling Zhan; Xue-Qin Yu; Jian-Hong Zeng; Hong Li; Wen Zhang; Xiang-Yang Hu; Yi-Fei Ye; Wei Hu
Journal:  Oncotarget       Date:  2017-02-14

Review 8.  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

9.  Phenotypic Characterization of Toxic Compound Effects on Liver Spheroids Derived from iPSC Using Confocal Imaging and Three-Dimensional Image Analysis.

Authors:  Oksana Sirenko; Michael K Hancock; Jayne Hesley; Dihui Hong; Avrum Cohen; Jason Gentry; Coby B Carlson; David A Mann
Journal:  Assay Drug Dev Technol       Date:  2016-08-05       Impact factor: 1.738

10.  Customised in vitro model to detect human metabolism-dependent idiosyncratic drug-induced liver injury.

Authors:  Laia Tolosa; Nuria Jiménez; Gabriela Pérez; José V Castell; M José Gómez-Lechón; M Teresa Donato
Journal:  Arch Toxicol       Date:  2017-07-31       Impact factor: 5.153

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