Literature DB >> 24461077

High-content analysis/screening for predictive toxicology: application to hepatotoxicity and genotoxicity.

Mikael Persson1, Anni F Løye, Mélanie Jacquet, Natacha S Mow, Annemette V Thougaard, Tomas Mow, Jorrit J Hornberg.   

Abstract

High-content imaging/analysis has emerged as a powerful tool for predictive toxicology as it can be used for identifying and mitigating potential safety risks during drug discovery. By careful selection of end-points, some cellular assays can show better predictivity than routine animal toxicity testing for certain adverse events. Here, we present the perhaps most utilized high-content screening assays for predictive toxicology in the pharmaceutical industry. Multi-parametric imaging of cell health in simple and cost-effective model systems can be used to predict human hepatotoxicity and elucidate mechanisms of toxicity, and imaging of bile salt transport inhibition in sandwich-cultured hepatocytes can be used to predict cholestasis-inducing compounds. Imaging of micronuclei formation in simple cell models can be used to detect genotoxic potential and elucidate anuegenic or clastogenic mode of actions. The hope is that application of these relatively predictive assays during drug discovery will reduce toxicity and safety-related attrition of drug development programmes at later stages.
© 2014 Nordic Association for the Publication of BCPT (former Nordic Pharmacological Society).

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Year:  2014        PMID: 24461077     DOI: 10.1111/bcpt.12200

Source DB:  PubMed          Journal:  Basic Clin Pharmacol Toxicol        ISSN: 1742-7835            Impact factor:   4.080


  9 in total

Review 1.  Novel approaches to pulmonary arterial hypertension drug discovery.

Authors:  Yon K Sung; Ke Yuan; Vinicio A de Jesus Perez
Journal:  Expert Opin Drug Discov       Date:  2016-02-27       Impact factor: 6.098

Review 2.  Sandwich-Cultured Hepatocytes as a Tool to Study Drug Disposition and Drug-Induced Liver Injury.

Authors:  Kyunghee Yang; Cen Guo; Jeffrey L Woodhead; Robert L St Claire; Paul B Watkins; Scott Q Siler; Brett A Howell; Kim L R Brouwer
Journal:  J Pharm Sci       Date:  2016-02       Impact factor: 3.534

3.  Intersection of toxicogenomics and high throughput screening in the Tox21 program: an NIEHS perspective.

Authors:  B Alex Merrick; Richard S Paules; Raymond R Tice
Journal:  Int J Biotechnol       Date:  2015

4.  High Content Imaging and Analysis Enable Quantitative In Situ Assessment of CYP3A4 Using Cryopreserved Differentiated HepaRG Cells.

Authors:  Aarati R Ranade; Melinda S Wilson; Amy M McClanahan; Andrew J Ball
Journal:  J Toxicol       Date:  2014-09-08

Review 5.  Advances in Engineered Liver Models for Investigating Drug-Induced Liver Injury.

Authors:  Christine Lin; Salman R Khetani
Journal:  Biomed Res Int       Date:  2016-09-20       Impact factor: 3.411

6.  Assessing cell-nanoparticle interactions by high content imaging of biocompatible iron oxide nanoparticles as potential contrast agents for magnetic resonance imaging.

Authors:  Roxanne Hachani; Martin A Birchall; Mark W Lowdell; Georgios Kasparis; Le D Tung; Bella B Manshian; Stefaan J Soenen; Willy Gsell; Uwe Himmelreich; Codi A Gharagouzloo; Srinivas Sridhar; Nguyen T K Thanh
Journal:  Sci Rep       Date:  2017-08-10       Impact factor: 4.379

Review 7.  High-Content Screening for the Detection of Drug-Induced Oxidative Stress in Liver Cells.

Authors:  MaríaTeresa Donato; Laia Tolosa
Journal:  Antioxidants (Basel)       Date:  2021-01-13

8.  Multiparametric Cell Cycle Analysis Using the Operetta High-Content Imager and Harmony Software with PhenoLOGIC.

Authors:  Andrew J Massey
Journal:  PLoS One       Date:  2015-07-28       Impact factor: 3.240

Review 9.  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 in total

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