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Internal threshold of toxicological concern values: enabling route-to-route extrapolation
Falko Partosch1, Hans Mielke, Ralf Stahlmann
1Institute for Clinical Pharmacology and Toxicology, Charité - Universitätsmedizin, Berlin, Germany.
The Threshold of Toxicological Concern (TTC) concept now includes internal exposure values, derived from external NOAELs and bioavailability. This allows for better risk assessment of substances with low absorption, enhancing chemical safety evaluations.
Area of Science:
- Toxicology
- Risk Assessment
- Computational Chemistry
Background:
- The Threshold of Toxicological Concern (TTC) concept uses generic human exposure thresholds derived from animal testing to assess chemical safety.
- Current TTC values are based on external oral exposure, limiting their application for substances with low absorption.
- Internal exposure is more relevant for risk assessment of chemicals with low oral or dermal absorption.
Purpose of the Study:
- To derive internal TTC values for a more accurate risk assessment of substances with low internal exposure.
- To adapt the TTC concept for scenarios involving negligible absorption and low internal exposure.
Main Methods:
- External no-observed-adverse-effect levels (NOAELs) from three databases were multiplied by individual chemical bioavailability.
- Oral bioavailability was predicted using the in silico ACD Percepta tool.
- Internal TTC values were calculated using a reduced uncertainty factor of 25.
Main Results:
- Internal TTC values were derived for different chemical categories (Cramer classes).
- For Cramer class I, the internal TTC is 6.9 μg/kg bw/d (90% CI: 3.8-11.5 mg/kg bw/d).
- For Cramer classes II/III, the internal TTC is 0.1 μg/kg bw/d (90% CI: 0.08-0.14 μg/kg bw/d).
Conclusions:
- The derived internal TTC values enable the application of the TTC concept to low internal exposure situations.
- This advancement supports regulatory risk assessment for chemicals with limited absorption.
- The study provides a refined approach to chemical safety evaluation by considering internal exposure metrics.
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