Literature DB >> 25787152

High-content screening technology for studying drug-induced hepatotoxicity in cell models.

Laia Tolosa1, M José Gómez-Lechón, M Teresa Donato.   

Abstract

High-content screening is the application of automated microscopy and image analysis to both cell biology and drug discovery. Over the last decade, this technique has emerged as a useful technology that allows the simultaneous measurement of different parameters at a single-cell level. Hepatotoxicity is a compelling reason for drug nonapprovals and withdrawals. It is recognized that the safety of a compound cannot be based on a single in vitro assay, and existing methods are not predictive of drug-induced toxicity. However, different HCS assays have been recently demonstrated as being powerful for identifying different mechanisms implicated in drug-induced toxicity with high sensitivity and specificity. These assays integrate the data obtained from different cell function indicators and can be easily incorporated into basic screening processes for the safety evaluation and selection of drug candidates; thus, they contribute greatly to lessen the likelihood of drug failure. Exploring the use of cellular imaging technology in drug-induced liver injury by reviewing the different tests proposed provides evidence that this technology has a strong impact on drug discovery.

Entities:  

Mesh:

Year:  2015        PMID: 25787152     DOI: 10.1007/s00204-015-1503-z

Source DB:  PubMed          Journal:  Arch Toxicol        ISSN: 0340-5761            Impact factor:   5.153


  12 in total

Review 1.  Managing the challenge of drug-induced liver injury: a roadmap for the development and deployment of preclinical predictive models.

Authors:  Richard J Weaver; Eric A Blomme; Amy E Chadwick; Ian M Copple; Helga H J Gerets; Christopher E Goldring; Andre Guillouzo; Philip G Hewitt; Magnus Ingelman-Sundberg; Klaus Gjervig Jensen; Satu Juhila; Ursula Klingmüller; Gilles Labbe; Michael J Liguori; Cerys A Lovatt; Paul Morgan; Dean J Naisbitt; Raymond H H Pieters; Jan Snoeys; Bob van de Water; Dominic P Williams; B Kevin Park
Journal:  Nat Rev Drug Discov       Date:  2019-11-20       Impact factor: 84.694

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

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.  Highlight report: New methods for quantification of bile canalicular dynamics.

Authors:  Ahmed Ghallab
Journal:  EXCLI J       Date:  2015-12-21       Impact factor: 4.068

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.  BaroFuse, a novel pressure-driven, adjustable-throughput perfusion system for tissue maintenance and assessment.

Authors:  Austin Rountree; Amit Karkamkar; Gamal Khalil; Albert Folch; Daniel L Cook; Ian R Sweet
Journal:  Heliyon       Date:  2016-12-09

7.  Pathophysiology of cholestatic liver disease and its relevance for in vitro tests of hepatotoxicity.

Authors:  Regina Stöber
Journal:  EXCLI J       Date:  2016-12-23       Impact factor: 4.068

8.  Tox_(R)CNN: Deep learning-based nuclei profiling tool for drug toxicity screening.

Authors:  Daniel Jimenez-Carretero; Vahid Abrishami; Laura Fernández-de-Manuel; Irene Palacios; Antonio Quílez-Álvarez; Alberto Díez-Sánchez; Miguel A Del Pozo; María C Montoya
Journal:  PLoS Comput Biol       Date:  2018-11-30       Impact factor: 4.475

9.  Synergistic Effects of The Enhancements to Mitochondrial ROS, p53 Activation and Apoptosis Generated by Aspartame and Potassium Sorbate in HepG2 Cells.

Authors:  Daofeng Qu; Mengxue Jiang; Dongping Huang; Hui Zhang; Lifang Feng; Yuewen Chen; Xuan Zhu; Suhua Wang; Jianzhong Han
Journal:  Molecules       Date:  2019-01-28       Impact factor: 4.411

10.  Highlight report: Metabolomics in hepatotoxicity testing.

Authors:  Ahmed Ghallab
Journal:  EXCLI J       Date:  2017-12-21       Impact factor: 4.068

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