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Updated: Jun 24, 2026

Human Liver Microphysiological System for Assessing Drug-Induced Liver Toxicity In Vitro
Published on: January 31, 2022
Systems biology for identifying liver toxicity pathways
1Cellular and Molecular Biology Lab, Department of Chemical Engineering and Materials Science, Michigan State University, East Lansing, MI 48824, USA. lizheng1@gmail.com
Abstract:
Drug-induced liver toxicity is one of the leading causes of acute liver failure in the United States, exceeding all other causes combined. The objective of this paper is to describe systems biology methods for identifying pathways involved in liver toxicity induced by free fatty acids (FFA) and tumor necrosis factor (TNF)-alpha in human hepatoblastoma cells (HepG2/C3A). Systems biology approaches were developed to integrate multi-level data, i.e., gene expression, metabolite profile, toxicity measurements and a priori knowledge to identify gene targets for modulating liver toxicity. Targets that modulate liver toxicity, in vitro, were computationally predicted and some targets were experimentally validated.
Insights
Drug-induced liver toxicity is a major cause of acute liver failure. This study used systems biology to identify pathways and gene targets involved in liver toxicity from free fatty acids and tumor necrosis factor-alpha.
Area of Science:
- Biochemistry
- Cell Biology
- Toxicology
Background:
- Drug-induced liver toxicity is a leading cause of acute liver failure in the US.
- Identifying specific molecular pathways is crucial for understanding and mitigating liver damage.
Purpose of the Study:
- To describe systems biology methods for identifying pathways in liver toxicity.
- To investigate toxicity induced by free fatty acids (FFA) and tumor necrosis factor (TNF)-alpha in HepG2/C3A cells.
Main Methods:
- Developed systems biology approaches to integrate multi-level data.
- Integrated gene expression, metabolite profiles, toxicity measurements, and prior knowledge.
- Used computational prediction and experimental validation to identify gene targets.
Main Results:
- Identified key pathways involved in FFA- and TNF-alpha-induced liver toxicity.
- Computationally predicted gene targets that modulate liver toxicity.
- Experimentally validated some of the predicted gene targets.
Conclusions:
- Systems biology offers a powerful approach to dissect complex mechanisms of drug-induced liver toxicity.
- Identified potential gene targets for therapeutic intervention against liver toxicity.
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