Correlation of Noncancer Benchmark Doses in Short- and Long-Term Rodent Bioassays
| Autor: | Bing Wang, John F. Fox, Jessica Kratchman, George M. Gray |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Oncology
021110 strategic defence & security studies medicine.medical_specialty business.industry 0211 other engineering and technologies Regression analysis 02 engineering and technology 010501 environmental sciences 01 natural sciences Correlation Toxicology Health effect Physiology (medical) Internal medicine Toxicity medicine Benchmark (computing) Bioassay Safety Risk Reliability and Quality Risk assessment business Chronic toxicity 0105 earth and related environmental sciences |
| Zdroj: | Risk Analysis. 38:1052-1069 |
| ISSN: | 0272-4332 |
| DOI: | 10.1111/risa.12903 |
| Popis: | This study investigated whether, in the absence of chronic noncancer toxicity data, short-term noncancer toxicity data can be used to predict chronic toxicity effect levels by focusing on the dose-response relationship instead of a critical effect. Data from National Toxicology Program (NTP) technical reports have been extracted and modeled using the Environmental Protection Agency's Benchmark Dose Software. Best-fit, minimum benchmark dose (BMD), and benchmark dose lower limits (BMDLs) have been modeled for all NTP pathologist identified significant nonneoplastic lesions, final mean body weight, and mean organ weight of 41 chemicals tested by NTP between 2000 and 2012. Models were then developed at the chemical level using orthogonal regression techniques to predict chronic (two years) noncancer health effect levels using the results of the short-term (three months) toxicity data. The findings indicate that short-term animal studies may reasonably provide a quantitative estimate of a chronic BMD or BMDL. This can allow for faster development of human health toxicity values for risk assessment for chemicals that lack chronic toxicity data. |
| Databáze: | OpenAIRE |
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