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PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
1996-1-17
pubmed:abstractText
A Monte Carlo simulation is incorporated into a risk assessment for trichloroethylene (TCE) using physiologically-based pharmacokinetic (PBPK) modeling coupled with the linearized multistage model to derive human carcinogenic risk extrapolations. The Monte Carlo technique incorporates physiological parameter variability to produce a statistically derived range of risk estimates which quantifies specific uncertainties associated with PBPK risk assessment approaches. Both inhalation and ingestion exposure routes are addressed. Simulated exposure scenarios were consistent with those used by the Environmental Protection Agency (EPA) in their TCE risk assessment. Mean values of physiological parameters were gathered from the literature for both mice (carcinogenic bioassay subjects) and for humans. Realistic physiological value distributions were assumed using existing data on variability. Mouse cancer bioassay data were correlated to total TCE metabolized and area-under-the-curve (blood concentration) trichloroacetic acid (TCA) as determined by a mouse PBPK model. These internal dose metrics were used in a linearized multistage model analysis to determine dose metric values corresponding to 10(-6) lifetime excess cancer risk. Using a human PBPK model, these metabolized doses were then extrapolated to equivalent human exposures (inhalation and ingestion). The Monte Carlo iterations with varying mouse and human physiological parameters produced a range of human exposure concentrations producing a 10(-6) risk.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Oct
pubmed:issn
0272-4332
pubmed:author
pubmed:issnType
Print
pubmed:volume
15
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
555-65
pubmed:dateRevised
2006-11-7
pubmed:meshHeading
pubmed-meshheading:7501875-Administration, Inhalation, pubmed-meshheading:7501875-Administration, Oral, pubmed-meshheading:7501875-Anesthetics, Inhalation, pubmed-meshheading:7501875-Animals, pubmed-meshheading:7501875-Carcinogens, pubmed-meshheading:7501875-Computer Simulation, pubmed-meshheading:7501875-Dose-Response Relationship, Drug, pubmed-meshheading:7501875-Environmental Exposure, pubmed-meshheading:7501875-Female, pubmed-meshheading:7501875-Humans, pubmed-meshheading:7501875-Linear Models, pubmed-meshheading:7501875-Male, pubmed-meshheading:7501875-Mice, pubmed-meshheading:7501875-Models, Biological, pubmed-meshheading:7501875-Models, Chemical, pubmed-meshheading:7501875-Monte Carlo Method, pubmed-meshheading:7501875-Neoplasms, pubmed-meshheading:7501875-Neoplasms, Experimental, pubmed-meshheading:7501875-Risk Assessment, pubmed-meshheading:7501875-Trichloroethylene, pubmed-meshheading:7501875-United States, pubmed-meshheading:7501875-United States Environmental Protection Agency
pubmed:year
1995
pubmed:articleTitle
A trichloroethylene risk assessment using a Monte Carlo analysis of parameter uncertainty in conjunction with physiologically-based pharmacokinetic modeling.
pubmed:affiliation
Air Force Institute of Technology, Department of Engineering and Environmental Management, Wright-Patterson Air Force Base, Ohio 45433, USA.
pubmed:publicationType
Journal Article