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RESEARCH PRODUCT

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

José V. CastellNuria JiménezGabriela PérezM. Teresa DonatoM. José Gómez-lechónLaia Tolosa

subject

0301 basic medicineDrugCYP2B6Drug-induced liver injuryHealth Toxicology and Mutagenesismedia_common.quotation_subjectPopulationDrug Evaluation PreclinicalPharmacologyToxicologyHepatotoxicity mechanismsGene Expression Regulation EnzymologicOrgan Toxicity and MechanismsAdenoviridae03 medical and health sciences0302 clinical medicineCYPToxicity TestsHumansCytochrome P450 Family 2educationmedia_commonMembrane Potential Mitochondrialeducation.field_of_studyCYP3A4biologyCytochrome P450IdiosyncrasyHep G2 CellsGeneral MedicineCYP2E1Recombinant ProteinsHigh-Throughput Screening Assays030104 developmental biology030220 oncology & carcinogenesisInactivation MetabolicToxicityCell modelbiology.proteinChemical and Drug Induced Liver InjuryReactive Oxygen SpeciesDrug metabolism

description

Drug-induced liver injury (DILI) has a considerable impact on human health and is a major challenge in drug safety assessments. DILI is a frequent cause of liver injury and a leading reason for post-approval drug regulatory actions. Considerable variations in the expression levels of both cytochrome P450 (CYP) and conjugating enzymes have been described in humans, which could be responsible for increased susceptibility to DILI in some individuals. We herein explored the feasibility of the combined use of HepG2 cells co-transduced with multiple adenoviruses that encode drug-metabolising enzymes, and a high-content screening assay to evaluate metabolism-dependent drug toxicity and to identify metabolic phenotypes with increased susceptibility to DILI. To this end, HepG2 cells with different expression levels of specific drug-metabolism enzymes (CYP1A2, CYP2B6, CYP2C9, CYP2C19, CYP2D6, CYP2E1, CYP3A4, GSTM1 and UGT2B7) were exposed to nine drugs with reported hepatotoxicity. A panel of pre-lethal mechanistic parameters (mitochondrial superoxide production, mitochondrial membrane potential, ROS production, intracellular calcium concentration, apoptotic nuclei) was used. Significant differences were observed according to the level of expression and/or the combination of several drug-metabolism enzymes in the cells created ad hoc according to the enzymes implicated in drug toxicity. Additionally, the main mechanisms implicated in the toxicity of the compounds were also determined showing also differences between the different types of cells employed. This screening tool allowed to mimic the variability in drug metabolism in the population and showed a highly efficient system for predicting human DILI, identifying the metabolic phenotypes associated with increased DILI risk, and indicating the mechanisms implicated in their toxicity. Electronic supplementary material The online version of this article (doi:10.1007/s00204-017-2036-4) contains supplementary material, which is available to authorized users.

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