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Methodologies for the quantitative estimation of toxicant dose to cigarette smokers using physical, chemical and bioanalytical data

Methodologies have been developed, described and demonstrated that convert mouth exposure estimates of cigarette smoke constituents to dose by accounting for smoke spilled from the mouth prior to inhalation (mouth-spill (MS)) and the respiratory retention (RR) during the inhalation cycle. The method...

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Autores principales: St. Charles, Frank Kelley, McAughey, John, Shepperd, Christopher J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Informa Healthcare USA, Inc. 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3696342/
https://www.ncbi.nlm.nih.gov/pubmed/23742081
http://dx.doi.org/10.3109/08958378.2013.794177
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author St. Charles, Frank Kelley
McAughey, John
Shepperd, Christopher J.
author_facet St. Charles, Frank Kelley
McAughey, John
Shepperd, Christopher J.
author_sort St. Charles, Frank Kelley
collection PubMed
description Methodologies have been developed, described and demonstrated that convert mouth exposure estimates of cigarette smoke constituents to dose by accounting for smoke spilled from the mouth prior to inhalation (mouth-spill (MS)) and the respiratory retention (RR) during the inhalation cycle. The methodologies are applicable to just about any chemical compound in cigarette smoke that can be measured analytically and can be used with ambulatory population studies. Conversion of exposure to dose improves the relevancy for risk assessment paradigms. Except for urinary nicotine plus metabolites, biomarkers generally do not provide quantitative exposure or dose estimates. In addition, many smoke constituents have no reliable biomarkers. We describe methods to estimate the RR of chemical compounds in smoke based on their vapor pressure (VP) and to estimate the MS for a given subject. Data from two clinical studies were used to demonstrate dose estimation for 13 compounds, of which only 3 have urinary biomarkers. Compounds with VP > 10(−5) Pa generally have RRs of 88% or greater, which do not vary appreciably with inhalation volume (IV). Compounds with VP < 10(−7) Pa generally have RRs dependent on IV and lung exposure time. For MS, mean subject values from both studies were slightly greater than 30%. For constituents with urinary biomarkers, correlations with the calculated dose were significantly improved over correlations with mouth exposure. Of toxicological importance is that the dose correlations provide an estimate of the metabolic conversion of a constituent to its respective biomarker.
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spelling pubmed-36963422013-07-02 Methodologies for the quantitative estimation of toxicant dose to cigarette smokers using physical, chemical and bioanalytical data St. Charles, Frank Kelley McAughey, John Shepperd, Christopher J. Inhal Toxicol Research Article Methodologies have been developed, described and demonstrated that convert mouth exposure estimates of cigarette smoke constituents to dose by accounting for smoke spilled from the mouth prior to inhalation (mouth-spill (MS)) and the respiratory retention (RR) during the inhalation cycle. The methodologies are applicable to just about any chemical compound in cigarette smoke that can be measured analytically and can be used with ambulatory population studies. Conversion of exposure to dose improves the relevancy for risk assessment paradigms. Except for urinary nicotine plus metabolites, biomarkers generally do not provide quantitative exposure or dose estimates. In addition, many smoke constituents have no reliable biomarkers. We describe methods to estimate the RR of chemical compounds in smoke based on their vapor pressure (VP) and to estimate the MS for a given subject. Data from two clinical studies were used to demonstrate dose estimation for 13 compounds, of which only 3 have urinary biomarkers. Compounds with VP > 10(−5) Pa generally have RRs of 88% or greater, which do not vary appreciably with inhalation volume (IV). Compounds with VP < 10(−7) Pa generally have RRs dependent on IV and lung exposure time. For MS, mean subject values from both studies were slightly greater than 30%. For constituents with urinary biomarkers, correlations with the calculated dose were significantly improved over correlations with mouth exposure. Of toxicological importance is that the dose correlations provide an estimate of the metabolic conversion of a constituent to its respective biomarker. Informa Healthcare USA, Inc. 2013-06 2013-06-06 /pmc/articles/PMC3696342/ /pubmed/23742081 http://dx.doi.org/10.3109/08958378.2013.794177 Text en © 2013 Informa Healthcare USA, Inc. All rights reserved: reproduction in whole or part not permitted http://creativecommons.org/licenses/by-nc/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the source is credited.
spellingShingle Research Article
St. Charles, Frank Kelley
McAughey, John
Shepperd, Christopher J.
Methodologies for the quantitative estimation of toxicant dose to cigarette smokers using physical, chemical and bioanalytical data
title Methodologies for the quantitative estimation of toxicant dose to cigarette smokers using physical, chemical and bioanalytical data
title_full Methodologies for the quantitative estimation of toxicant dose to cigarette smokers using physical, chemical and bioanalytical data
title_fullStr Methodologies for the quantitative estimation of toxicant dose to cigarette smokers using physical, chemical and bioanalytical data
title_full_unstemmed Methodologies for the quantitative estimation of toxicant dose to cigarette smokers using physical, chemical and bioanalytical data
title_short Methodologies for the quantitative estimation of toxicant dose to cigarette smokers using physical, chemical and bioanalytical data
title_sort methodologies for the quantitative estimation of toxicant dose to cigarette smokers using physical, chemical and bioanalytical data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3696342/
https://www.ncbi.nlm.nih.gov/pubmed/23742081
http://dx.doi.org/10.3109/08958378.2013.794177
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