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Updated: Jun 30, 2026

Stabilizing Hepatocellular Phenotype Using Optimized Synthetic Surfaces
Published on: September 26, 2014
Dose-dependent hepatotoxicity of hydrogen peroxide in HepG2 cells and its modulation by CYP450 induction
Maren Jinks1,2,3,4,5, Garth L Maker1,2, Emily C Davies1,2
1Centre for Computational and Systems Medicine, Health Futures Institute, Harry Perkins Building, Murdoch University, Perth, Australia.
Abstract:
In vitro liver models combined with metabolomics approaches offer promising alternatives to animal testing in toxicology. In this study, we investigated concentration-dependent effects of hydrogen peroxide (H2O2) on the intra- and extracellular metabolome of HepG2 cells using 1H Nuclear Magnetic Resonance (NMR) spectroscopy. After cells were exposed to low, medium or high concentrations of H2O2, metabolomic analysis revealed a progressive increase in metabolic perturbation with rising toxin concentration. Significant alterations were detected in a limited subset of metabolites after low H2O2 exposure, and substantially broader disruptions occurred after medium or high H2O2 exposure, with most measured metabolites affected at the highest exposure level. To enhance metabolic competence, cells were pretreated with rifampicin to induce cytochrome P450 (CYP450) activity, which is typically low in HepG2 cells. Comparative analysis of rifampicin-pretreated and untreated cells exposed to high H2O2 concentrations demonstrated disruption of multiple biochemical pathways, including energy metabolism, lipid metabolism and amino acid metabolism. Notably, rifampicin pretreatment attenuated the magnitude of metabolic perturbations, as reflected by reduced intracellular alterations and minimal changes in extracellular metabolite profiles. Furthermore, rifampicin-treated cells exhibited metabolite signatures more consistent with human liver physiology in vivo, including increased glutathione and 2-hydroxybutyrate levels. Collectively, these findings demonstrate that pretreatment with rifampicin prior to toxin exposure enhances the physiological relevance of HepG2-based hepatotoxicity models and improves their potential to predict human liver responses. Moreover, the results highlight the sensitivity of NMR-based metabolomics to detect toxin induced metabolic changes across a range of exposure concentrations.
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