2015
DOI: 10.1016/j.tox.2015.03.010
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A case study on quantitative in vitro to in vivo extrapolation for environmental esters: Methyl-, propyl- and butylparaben

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Cited by 27 publications
(8 citation statements)
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“…The quantitative use of in vitro toxicity assays to determine safe exposure levels in humans requires extrapolation from the media concentrations that produce a significant effect to the in vivo exposures that would be expected to produce an effect (Campbell et al 2015 ). Before quantitative in vitro to vivo extrapolations (QIVIVE) are safely implemented, standardization methods that take into account uncertainties of the assessment of volatile/oxidizable compounds are needed.…”
Section: Discussionmentioning
confidence: 99%
“…The quantitative use of in vitro toxicity assays to determine safe exposure levels in humans requires extrapolation from the media concentrations that produce a significant effect to the in vivo exposures that would be expected to produce an effect (Campbell et al 2015 ). Before quantitative in vitro to vivo extrapolations (QIVIVE) are safely implemented, standardization methods that take into account uncertainties of the assessment of volatile/oxidizable compounds are needed.…”
Section: Discussionmentioning
confidence: 99%
“…‐ a UF A of 3 was applied to account for toxicodynamic differences between in vitro cell‐based assays and humans according to Quantitative in vitro to in vivo extrapolation (QIVIVE) (Campbell et al, ). This value was adopted because a dosimetric adjustment from in vitro to in vivo has already been incorporated (DAF index) (US EPA, ).…”
Section: Methodsmentioning
confidence: 99%
“…In one study, a physiologically based pharmacokinetic (PBPK) model was developed and used to estimate the plasma free paraben concentration in adults consistent with 95th percentile urine concentration reported in US National Health and Nutrition Examination Survey (NHANES) program (2009-2010 collection period). 59 For the 2009 to 2010 sampling period, the…”
Section: Physiologically Based Pharmacokinetic Modelingmentioning
confidence: 99%