首页 | 本学科首页   官方微博 | 高级检索  
     


Applications of dosimetry modeling to assessment of neurotoxic risk
Authors:Boyes William K  Simmons Jane Ellen  Eklund Christopher  Benignus Vernon A  Janssen Paul  Bushnell Philip J
Affiliation:

aNational Health and Environmental Effects Research Laboratory, B105-05, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, NC 27711, USA

bCentre of Substances and Risk Assessment at the National Institute Public Health and the Environment, The Netherlands

Abstract:
Risk assessment procedures can be improved through better understanding and use of tissue dose information and linking tissue dose level to adverse outcomes. For volatile organic compounds, such as toluene and trichloroethylene (TCE), blood and brain concentrations can be estimated with physiologically based pharmacokinetic (PBPK) models. Acute changes in the function of the nervous system can be linked to the concentration of test compounds in the blood or brain at the time of neurological assessment. This set of information enables application to a number of risk assessment situations. For example, we have used this approach to recommend duration adjustments for acute exposure guideline levels (AEGLs) for TCE such that the exposure limits for each exposure duration yield identical tissue concentrations at the end of the exposure period. We have also used information on tissue concentration at the time of assessment to compare sensitivity across species, adjusting for species-specific pharmacokinetic differences. Finally this approach has enabled us to compare the relative sensitivity of different compounds on a tissue dose basis, leading to expression of acute solvent effects as ethanol-dose equivalents for purposes of estimating cost–benefit relationships of various environmental control options.
Keywords:Haber's rule   Duration adjustments   PBPK model   Acute toxicity   Toluene   Trichloroethylene
本文献已被 ScienceDirect PubMed 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号