Related Experiment Video
Updated: Jan 7, 2026

Author Spotlight: A New and Efficient Method for Comprehensive Metabolite Cytotoxicity Assessment of Triazole Pesticides in Plants
Published on: December 22, 2023
Cytochrome P450 inhibition correlates with hepatotoxicity of pesticides: Analysis using repeated-dose toxicity data
Minami Shibata1, Nana Uchida1, Akira Ooka1
1Laboratory of Molecular Toxicology, School of Pharmaceutical Sciences, University of Shizuoka, 52-1 Yada, Suruga-ku, Shizuoka, 422-8526, Japan.
Abstract:
Drug-induced liver injury (DILI) remains a significant challenge in drug development and safety assessment, requiring a deeper understanding of its underlying mechanisms. We recently reported that the inhibition of cytochrome P450 (P450) enzymes CYP1A1 and CYP1B1 is associated with DILI; however, it is unclear whether this association extends to non-pharmaceutical chemicals with structurally and pharmacologically diverse properties. In this study, we aimed to clarify the relationship between P450 inhibition and the hepatotoxicity of pesticides by using the results of rat repeated-dose toxicity studies and in vitro assays. A test set of 126 pesticides was evaluated for inhibitory activity against six rat P450s using recombinant enzymes and luminescent substrates. Statistical analyses revealed that the inhibition of CYP1A1 and CYP2C6 was significantly (p < 0.05) associated with liver hypertrophy-related findings, including weight increase and centrilobular hepatocyte hypertrophy, and dyslipidemia characterized by elevated blood cholesterol levels. In addition, simple regression analysis demonstrated that CYP2C6-inhibitory activity correlated with the lowest observed adverse effect level (LOAEL) values for the hypertrophy and dyslipidemia in carbamates. These results suggest that hepatotoxicity associated with CYP1A1 inhibition is a common phenomenon across chemical classes, and that CYP2C6 inhibition is specifically linked to liver hypertrophy and dyslipidemia in pesticides.
More Related Videos
11:38High Content Screening Analysis to Evaluate the Toxicological Effects of Harmful and Potentially Harmful Constituents HPHC
Published on: May 10, 2016
05:47In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox
Published on: August 28, 2019
Related Concept Videos
Drug Product Performance: In Vitro–In Vivo Correlation
Effect of Hepatic Disease on Pharmacokinetics: Pathophysiologic Assessment and Liver Function Test
Effect of Hepatic Disease on Pharmacokinetics: Drug Dosing and Hepatic Blood Flow