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[Prediction of acute toxicity]
1Forschungsinstitut für Molekulare Pharmakologie im Forschungsverbund Berlin e.V., D-Berlin.
ALTEX
|January 1, 1994
Summary
The updated Register of Cytotoxicity Data (RCD) enables predicting in vivo toxicity from in vitro cytotoxicity (IC50) values. This approach accurately estimates acute toxicity for neurotropic agents, improving chemical safety assessments.
Area of Science:
- Toxicology
- Computational Chemistry
- Pharmacology
Background:
- The Register of Cytotoxicity Data (RCD) compiles chemical toxicity information.
- Existing data includes IC50 values and LD50 values from various sources.
- Predictive toxicology models are crucial for efficient safety assessments.
Purpose of the Study:
- To assess the predictive power of in vitro cytotoxicity (IC50) for in vivo acute toxicity (LD50).
- To evaluate the correlation between IC50 and LD50 for a diverse set of chemicals, including neurotropic agents.
- To establish regression models for predicting LD50 from IC50 data.
Main Methods:
- Compiled and analyzed 1912 IC50 values and LD50 values (oral and intravenous) for 361 chemicals from the updated RCD.
- Calculated mean IC50 values for each chemical.
- Developed linear standard regression lines to correlate IC50 and LD50 data pairs.
Main Results:
- Linear regression models were established for 347 oral and 148 intravenous IC50/LD50 data pairs.
- Prediction of LD50 values from IC50 data showed surprisingly good accuracy for 26 neurotropic agents.
- Basal cytotoxicity, reflected by IC50, appears to correlate with basic cellular functions and overall acute toxicity.
Conclusions:
- In vitro cytotoxicity data (IC50) can sufficiently predict in vivo acute toxicity (LD50).
- The established correlation holds even for neurotropic agents, suggesting a link between basal cytotoxicity and general toxicity.
- The updated RCD provides a valuable resource for developing predictive models in toxicology.