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The use of biomonitoring data in exposure and human health risk assessment: benzene case study

A framework of “Common Criteria” (i.e. a series of questions) has been developed to inform the use and evaluation of biomonitoring data in the context of human exposure and risk assessment. The data-rich chemical benzene was selected for use in a case study to assess whether refinement of the Common...

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Autores principales: Arnold, Scott M., Angerer, Juergen, Boogaard, Peter J., Hughes, Michael F., O’Lone, Raegan B., Robison, Steven H., Robert Schnatter, A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Informa Healthcare USA, Inc 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3585443/
https://www.ncbi.nlm.nih.gov/pubmed/23346981
http://dx.doi.org/10.3109/10408444.2012.756455
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author Arnold, Scott M.
Angerer, Juergen
Boogaard, Peter J.
Hughes, Michael F.
O’Lone, Raegan B.
Robison, Steven H.
Robert Schnatter, A.
author_facet Arnold, Scott M.
Angerer, Juergen
Boogaard, Peter J.
Hughes, Michael F.
O’Lone, Raegan B.
Robison, Steven H.
Robert Schnatter, A.
author_sort Arnold, Scott M.
collection PubMed
description A framework of “Common Criteria” (i.e. a series of questions) has been developed to inform the use and evaluation of biomonitoring data in the context of human exposure and risk assessment. The data-rich chemical benzene was selected for use in a case study to assess whether refinement of the Common Criteria framework was necessary, and to gain additional perspective on approaches for integrating biomonitoring data into a risk-based context. The available data for benzene satisfied most of the Common Criteria and allowed for a risk-based evaluation of the benzene biomonitoring data. In general, biomarker (blood benzene, urinary benzene and urinary S-phenylmercapturic acid) central tendency (i.e. mean, median and geometric mean) concentrations for non-smokers are at or below the predicted blood or urine concentrations that would correspond to exposure at the US Environmental Protection Agency reference concentration (30 µg/m(3)), but greater than blood or urine concentrations relating to the air concentration at the 1 × 10(−5) excess cancer risk (2.9 µg/m(3)). Smokers clearly have higher levels of benzene exposure, and biomarker levels of benzene for non-smokers are generally consistent with ambient air monitoring results. While some biomarkers of benzene are specific indicators of exposure, the interpretation of benzene biomonitoring levels in a health-risk context are complicated by issues associated with short half-lives and gaps in knowledge regarding the relationship between the biomarkers and subsequent toxic effects.
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spelling pubmed-35854432013-03-04 The use of biomonitoring data in exposure and human health risk assessment: benzene case study Arnold, Scott M. Angerer, Juergen Boogaard, Peter J. Hughes, Michael F. O’Lone, Raegan B. Robison, Steven H. Robert Schnatter, A. Crit Rev Toxicol Review Articles A framework of “Common Criteria” (i.e. a series of questions) has been developed to inform the use and evaluation of biomonitoring data in the context of human exposure and risk assessment. The data-rich chemical benzene was selected for use in a case study to assess whether refinement of the Common Criteria framework was necessary, and to gain additional perspective on approaches for integrating biomonitoring data into a risk-based context. The available data for benzene satisfied most of the Common Criteria and allowed for a risk-based evaluation of the benzene biomonitoring data. In general, biomarker (blood benzene, urinary benzene and urinary S-phenylmercapturic acid) central tendency (i.e. mean, median and geometric mean) concentrations for non-smokers are at or below the predicted blood or urine concentrations that would correspond to exposure at the US Environmental Protection Agency reference concentration (30 µg/m(3)), but greater than blood or urine concentrations relating to the air concentration at the 1 × 10(−5) excess cancer risk (2.9 µg/m(3)). Smokers clearly have higher levels of benzene exposure, and biomarker levels of benzene for non-smokers are generally consistent with ambient air monitoring results. While some biomarkers of benzene are specific indicators of exposure, the interpretation of benzene biomonitoring levels in a health-risk context are complicated by issues associated with short half-lives and gaps in knowledge regarding the relationship between the biomarkers and subsequent toxic effects. Informa Healthcare USA, Inc 2013-02 2013-01-25 /pmc/articles/PMC3585443/ /pubmed/23346981 http://dx.doi.org/10.3109/10408444.2012.756455 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 Review Articles
Arnold, Scott M.
Angerer, Juergen
Boogaard, Peter J.
Hughes, Michael F.
O’Lone, Raegan B.
Robison, Steven H.
Robert Schnatter, A.
The use of biomonitoring data in exposure and human health risk assessment: benzene case study
title The use of biomonitoring data in exposure and human health risk assessment: benzene case study
title_full The use of biomonitoring data in exposure and human health risk assessment: benzene case study
title_fullStr The use of biomonitoring data in exposure and human health risk assessment: benzene case study
title_full_unstemmed The use of biomonitoring data in exposure and human health risk assessment: benzene case study
title_short The use of biomonitoring data in exposure and human health risk assessment: benzene case study
title_sort use of biomonitoring data in exposure and human health risk assessment: benzene case study
topic Review Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3585443/
https://www.ncbi.nlm.nih.gov/pubmed/23346981
http://dx.doi.org/10.3109/10408444.2012.756455
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