Conversion Factors Estimating Indicative Chronic No-Observed-Adverse-Effect Levels from Short-Term Toxicity Data
Data on chronic toxicity are generally required to derive a health-based acceptable exposure limit, such as the acceptable daily intake. However, only acute and/or subacute toxicity data are available for many compounds. In this study, we assessed conversion factors (CFs) to estimate a chronic no-ob...
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Published in | Regulatory toxicology and pharmacology Vol. 23; no. 3; pp. 249 - 255 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
San Diego, CA
Elsevier Inc
01.06.1996
Elsevier |
Subjects | |
Online Access | Get full text |
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Summary: | Data on chronic toxicity are generally required to derive a health-based acceptable exposure limit, such as the acceptable daily intake. However, only acute and/or subacute toxicity data are available for many compounds. In this study, we assessed conversion factors (CFs) to estimate a chronic no-observed-adverse-effect-level (NOAELchronic) from these short-term toxicity data. We evaluated distributions of ratios between (sub)acute and chronic toxicity data for 332 compounds. By defining the CF as the upper 95% confidence limit of the 95th percentile for the relevant ratio distribution, both the variation between compounds (95th percentile) and the estimation error (upper 95% confidence limit) could be taken into account. Dividing a NOAELsubacuteor LD50by the corresponding CF results in a conservative estimate of the chronic NOAEL. We assessed a CF of 87 for a NOAELsubacuteand a CF of 1.7 × 104for an LD50. We found the NOAELsubacuteto be a better predictor of the NOAELchronicthan the LD50. Moreover, the added value of an LD50in estimating a NOAELchronicappeared to be limited when a NOAELsubacutewas available. |
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ISSN: | 0273-2300 1096-0295 |
DOI: | 10.1006/rtph.1996.0050 |