ArticleArchives of toxicology2018
Customised in vitro model to detect human metabolism-dependent idiosyncratic drug-induced liver injury.
Article in Archives of toxicology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
15 citing papers in PubMed, 42 citations in OpenAlex.
- Computational Strategies for Assessing Adverse Outcome Pathways: Hepatic Steatosis as a Case Study.International journal of molecular sciences · 2024Review
- Nanoencapsulated Curcumin Mitigates Liver Injury and Drug-Metabolizing Enzymes Induction in Diclofenac-Treated Mice.ACS omega · 2024Article
- Assessing Drug-Induced Mitochondrial Toxicity in Cardiomyocytes: Implications for Preclinical Cardiac Safety Evaluation.Pharmaceutics · 2022Review
- Mitochondria as the Target of Hepatotoxicity and Drug-Induced Liver Injury: Molecular Mechanisms and Detection Methods.International journal of molecular sciences · 2022Review
- Study on the associations between liver damage and antituberculosis drug rifampicin and relative metabolic enzyme gene polymorphisms.Bioengineered · 2021Article
- Preclinical models of idiosyncratic drug-induced liver injury (iDILI): Moving towards prediction.Acta pharmaceutica Sinica. B · 2021Review
- Article
- A Critical Perspective on 3D Liver Models for Drug Metabolism and Toxicology Studies.Frontiers in cell and developmental biology · 2021Review
- miR-15a-3p Protects Against Isoniazid-Induced Liver InjuryFrontiers in molecular biosciences · 2021Article
- Characterization of cytochrome P450s (CYP)-overexpressing HepG2 cells for assessing drug and chemical-induced liver toxicity.Journal of environmental science and health. Part C, Toxicology and carcinogenesis · 2021Article
- The evolution of strategies to minimise the risk of human drug-induced liver injury (DILI) in drug discovery and development.Archives of toxicology · 2020Review
- Managing the challenge of drug-induced liver injury: a roadmap for the development and deployment of preclinical predictive models.Nature reviews. Drug discovery · 2020Review
- Deep Learning on High-Throughput Transcriptomics to Predict Drug-Induced Liver Injury.Frontiers in bioengineering and biotechnology · 2020Article
- GlutathioneFrontiers in pharmacology · 2018Article
- mRNA transfection retrofits cell-based assays with xenobiotic metabolism.Journal of pharmacological and toxicological methodsArticle
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
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.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.