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Advanced 3D Liver Models for In vitro Genotoxicity Testing Following Long-Term Nanomaterial Exposure
Published on: June 5, 2020
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Genetic toxicity assessment using liver cell models: past, present, and future
Xiaoqing Guo1, Ji-Eun Seo1, Xilin Li1
1Division of Genetic and Molecular Toxicology, National Center for Toxicological Research, Jefferson, AR, USA.
Journal of Toxicology and Environmental Health. Part B, Critical Reviews
|November 21, 2019
Summary
Hepatocytes, or liver cells, offer a more accurate way to test for genotoxicity (DNA damage). Using these metabolically active cells in assays reduces false positives and improves carcinogen risk assessment.
Area of Science:
- Toxicology
- Genetic Toxicology
- Cell Biology
Background:
- Standard genotoxicity assays, often using metabolically inactive cells, have high false positive rates.
- Metabolic activation is crucial for understanding pro-carcinogen genotoxicity in vivo.
- Hepatocytes are metabolically active and show promise for predicting in vivo genotoxicity.
Purpose of the Study:
- To review the use of hepatocytes in genotoxicity assessment.
- To summarize findings from standard and novel genotoxicity assays using liver cells.
- To explore advanced liver cell models for improved genetic toxicology.
Main Methods:
- Review of published in vitro and in vivo studies on hepatocyte genotoxicity assessment.
- Description of various liver cell models, including standard and advanced types (3D spheroids, organoids, engineered hepatocytes).
- Summary of findings from different genotoxicity assays.
Main Results:
- Hepatocytes provide a more metabolically relevant model for genotoxicity testing.
- Advanced liver cell models show potential for enhanced prediction of in vivo effects.
- Current in vitro assays often yield high false positive rates due to metabolic incompetence.
Conclusions:
- Hepatocytes are valuable tools for improving the accuracy of genotoxicity risk assessment.
- Advanced liver cell models and integrated strategies enhance biological relevance and throughput.
- A quantitative, human-based cell approach may optimize future genotoxicity testing.

