Literature DB >> 27671376

Upgrading HepG2 cells with adenoviral vectors that encode drug-metabolizing enzymes: application for drug hepatotoxicity testing.

M José Gómez-Lechón1,2, Laia Tolosa1, M Teresa Donato1,2,3.   

Abstract

INTRODUCTION: Drug attrition rates due to hepatotoxicity are an important safety issue considered in drug development. The HepG2 hepatoma cell line is currently being used for drug-induced hepatotoxicity evaluations, but its expression of drug-metabolizing enzymes is poor compared with hepatocytes. Different approaches have been proposed to upgrade HepG2 cells for more reliable drug-induced liver injury predictions. Areas covered: We describe the advantages and limitations of HepG2 cells transduced with adenoviral vectors that encode drug-metabolizing enzymes for safety risk assessments of bioactivable compounds. Adenoviral transduction facilitates efficient and controlled delivery of multiple drug-metabolizing activities to HepG2 cells at comparable levels to primary human hepatocytes by generating an 'artificial hepatocyte'. Furthermore, adenoviral transduction enables the design of tailored cells expressing particular metabolic capacities. Expert opinion: Upgraded HepG2 cells that recreate known inter-individual variations in hepatic CYP and conjugating activities due to both genetic (e.g., polymorphisms) or environmental (e.g., induction, inhibition) factors seems a suitable model to identify bioactivable drug and conduct hepatotoxicity risk assessments. This strategy should enable the generation of customized cells by reproducing human pheno- and genotypic CYP variability to represent a valuable human hepatic cell model to develop new safer drugs and to improve existing predictive toxicity assays.

Entities:  

Keywords:  CYP; CYP-engineered cell line; HepG2 cells; adenoviral vectors; drug metabolism; hepatotoxicity

Mesh:

Substances:

Year:  2016        PMID: 27671376     DOI: 10.1080/17425255.2017.1238459

Source DB:  PubMed          Journal:  Expert Opin Drug Metab Toxicol        ISSN: 1742-5255            Impact factor:   4.481


  5 in total

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Journal:  Toxicol Sci       Date:  2020-12-01       Impact factor: 4.849

2.  Novel Benzylidene Thiazolidinedione Derivatives as Partial PPARγ Agonists and their Antidiabetic Effects on Type 2 Diabetes.

Authors:  Sabina Yasmin; Fabio Capone; Antonio Laghezza; Fabrizio Dal Piaz; Fulvio Loiodice; Viswanathan Vijayan; Velmurugan Devadasan; Susanta K Mondal; Özlem Atlı; Merve Baysal; Ashok K Pattnaik; Venkatesan Jayaprakash; Antonio Lavecchia
Journal:  Sci Rep       Date:  2017-10-31       Impact factor: 4.379

3.  Establishment of a novel hepatocyte model that expresses four cytochrome P450 genes stably via mammalian-derived artificial chromosome for pharmacokinetics and toxicity studies.

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Journal:  PLoS One       Date:  2017-10-24       Impact factor: 3.240

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Authors:  Hiroyuki Kitano; Yuki Nagae; Yoshinori Kawabe; Akira Ito; Masamichi Kamihira
Journal:  Cytotechnology       Date:  2021-02-24       Impact factor: 2.040

5.  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

  5 in total

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