In Vitro Toxicity Screening of Fifty Complex Mixtures in HepG2 Cells.

ABSTRACT: To develop the risk prediction technology for mixture toxicity, a reliable and extensive dataset of experimental results is required. However, most published literature only provides data on combinations containing two or three substances, resulting in a limited dataset for predicting the toxicity of complex mixtures. Complex mixtures may have different mode of actions (MoAs) due to their varied composition, posing difficulty in the prediction using conventional toxicity prediction models, such as the concentration addition (CA) and independent action (IA) models. The aim of this study was to generate an experimental dataset comprising complex mixtures. To identify the target complex mixtures, we referred to the findings of the HBM4EU project. We identified three groups of seven to ten com

SUBMITTER: Kim S 

PROVIDER: S-EPMC10892977 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature