The refinement of uncertainty/safety factors in risk assessment by the incorporation of data on toxicokinetic variability in humans
The refinement of uncertainty/safety factors in risk assessment by the incorporation of data on toxicokinetic variability in humans
The derivation of safe levels of exposure in humans for compounds that are assumed to cause threshold toxicity has relied on the application of a 100-fold uncertainty factor to a measure for the threshold, such as the no observed adverse effect level (NOAEL) or the benchmark dose (BMD). This 100-fold safety factor consists of the product of two 10-fold factors allowing for human variability and interspecies differences. The International Programme on Chemical Safety has suggested the subdivision of these 10-fold factors to allow for variability in toxicokinetics and toxicodynamics.
This subdivision allows the replacement of the default uncertainty factors with a chemical-specific adjustment factor (CSAF) when suitable data are available. This short review describes potential options to refine safety factors used in risk assessment, with particular emphasis on pathway-related uncertainty factors associated with variability in kinetics. These pathway-related factors were derived from a database that quantified interspecies differences and human variability in phase I metabolism, phase II metabolism, and renal excretion. This approach allows metabolism and pharmacokinetic data in healthy adults and subgroups of the population to be incorporated in the risk-assessment process and constitutes an intermediate approach between simple default factors and chemical-specific adjustment factors.
safety factors, human variability, interspecies differences, metabolism, phase i, phase ii, toxicokinetics, uncertainty factors, risk assessment.
20-26
Dorne, J.L.C.M.
bb24d5c7-c4fd-445a-9785-0a03d216fdc2
Renwick, A.G.
596705ab-5418-4e02-9ad7-c4309326df46
2005
Dorne, J.L.C.M.
bb24d5c7-c4fd-445a-9785-0a03d216fdc2
Renwick, A.G.
596705ab-5418-4e02-9ad7-c4309326df46
Dorne, J.L.C.M. and Renwick, A.G.
(2005)
The refinement of uncertainty/safety factors in risk assessment by the incorporation of data on toxicokinetic variability in humans.
Toxicological Sciences, 86 (1), .
(doi:10.1093/toxsci/kfi160).
Abstract
The derivation of safe levels of exposure in humans for compounds that are assumed to cause threshold toxicity has relied on the application of a 100-fold uncertainty factor to a measure for the threshold, such as the no observed adverse effect level (NOAEL) or the benchmark dose (BMD). This 100-fold safety factor consists of the product of two 10-fold factors allowing for human variability and interspecies differences. The International Programme on Chemical Safety has suggested the subdivision of these 10-fold factors to allow for variability in toxicokinetics and toxicodynamics.
This subdivision allows the replacement of the default uncertainty factors with a chemical-specific adjustment factor (CSAF) when suitable data are available. This short review describes potential options to refine safety factors used in risk assessment, with particular emphasis on pathway-related uncertainty factors associated with variability in kinetics. These pathway-related factors were derived from a database that quantified interspecies differences and human variability in phase I metabolism, phase II metabolism, and renal excretion. This approach allows metabolism and pharmacokinetic data in healthy adults and subgroups of the population to be incorporated in the risk-assessment process and constitutes an intermediate approach between simple default factors and chemical-specific adjustment factors.
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Published date: 2005
Keywords:
safety factors, human variability, interspecies differences, metabolism, phase i, phase ii, toxicokinetics, uncertainty factors, risk assessment.
Identifiers
Local EPrints ID: 27033
URI: http://eprints.soton.ac.uk/id/eprint/27033
ISSN: 1096-6080
PURE UUID: c46902af-61dd-4924-8bab-db48902d1602
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Date deposited: 26 Apr 2006
Last modified: 15 Mar 2024 07:15
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Author:
J.L.C.M. Dorne
Author:
A.G. Renwick
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