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Human Pluripotent Stem Cell Based Developmental Toxicity Assays for Chemical Safety Screening and Systems Biology Data Generation
Published on: June 17, 2015
A case for a new paradigm in genetic toxicology testing
Lynn H Pottenger1, B Bhaskar Gollapudi
1Toxicology & Environmental Research and Consulting, The Dow Chemical Company, Midland, MI 48674, USA. lpottenger@dow.com
Mutation Research
|July 21, 2009
Summary
Genetic toxicology needs updated methods for better risk assessment. Understanding dose-response, even for DNA-reactive chemicals, reveals thresholds, improving chemical safety evaluations.
Area of Science:
- Toxicology
- Genetics
- Molecular Biology
Background:
- Current genetic toxicology methods require modernization for improved risk assessment.
- The traditional view of genotoxicity as an inherent property is challenged by new mechanistic insights.
- A deeper understanding of mutation mechanisms necessitates a re-evaluation of genotoxicity testing.
Purpose of the Study:
- To advocate for a paradigm shift in genetic toxicology, emphasizing dose-response relationships.
- To highlight the importance of understanding internal/effective doses for accurate risk assessment.
- To promote the integration of mechanistic data into genotoxicity testing strategies.
Main Methods:
- Re-evaluating the application of dose-response principles in genotoxicity studies.
- Investigating the existence of thresholds (NOAELs) for genotoxic effects, including DNA-reactive agents.
- Improving the characterization of dose-response curves by considering internal/effective doses.
Main Results:
- Growing evidence supports the existence of thresholds for genotoxic effects, even with DNA-reactive chemicals.
- Understanding effective doses enhances dose-response curve characterization and cross-species extrapolation.
- Updated approaches can significantly improve the utility of genotoxicity data for risk assessment.
Conclusions:
- A focus on dose-response and internal dosimetry is crucial for advancing genetic toxicology.
- Modernized experimental designs and data interpretation are essential for 21st-century risk assessment.
- This shift will enhance the reliability and applicability of genotoxicity data in regulatory science.
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