Literature DB >> 11726021

Reproductive and developmental risks from ethylene oxide: a probabilistic characterization of possible regulatory thresholds.

J S Evans1, L R Rhomberg, P L Williams, A M Wilson, S J Baird.   

Abstract

Ethylene oxide is a gas produced in large quantities in the United States that is used primarily as a chemical intermediate in the production of ethylene glycol, propylene glycol, non-ionic surfactants, ethanolamines, glycol ethers, and other chemicals. It has been well established that ethylene oxide can induce cancer, genetic, reproductive and developmental, and acute health effects in animals. The U.S. Environmental Protection Agency is currently developing both a cancer potency factor and a reference concentration (RfC) for ethylene oxide. This study used the rich database on the reproductive and developmental effects of ethylene oxide to develop a probabilistic characterization of possible regulatory thresholds for ethylene oxide. This analysis was based on the standard regulatory approach for noncancer risk assessment, but involved several innovative elements, such as: (1) the use of advanced statistical methods to account for correlations in developmental outcomes among littermates and allow for simultaneous control of covariates (such as litter size); (2) the application of a probabilistic approach for characterizing the uncertainty in extrapolating the animal results to humans; and (3) the use of a quantitative approach to account for the variation in heterogeneity among the human population. This article presents several classes of results, including: (1) probabilistic characterizations of ED10s for two quantal reproductive outcomes-resorption and fetal death, (2) probabilistic characterizations of one developmental outcome-the dose expected to yield a 5% reduction in fetal (or pup) weight, (3) estimates of the RfCs that would result from using these values in the standard regulatory approach for noncancer risk assessment, and (4) a probabilistic characterization of the level of ethylene oxide exposure that would be expected to yield a 1/1,000 increase in the risk of reproductive or developmental outcomes in exposed human populations.

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Year:  2001        PMID: 11726021     DOI: 10.1111/0272-4332.214144

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  9 in total

1.  Practical Risk Assessment and Management Issues Arising were we to Adopt Low-Dose Linearity for all Endpoints.

Authors:  Lorenz R Rhomberg
Journal:  Dose Response       Date:  2010-09-10       Impact factor: 2.658

2.  Comparative Probabilistic Assessment of Occupational Pesticide Exposures Based on Regulatory Assessments.

Authors:  Jane G Pouzou; Alison C Cullen; Michael G Yost; John C Kissel; Richard A Fenske
Journal:  Risk Anal       Date:  2017-11-06       Impact factor: 4.000

3.  Methods for evaluating variability in human health dose-response characterization.

Authors:  Daniel A Axelrad; R Woodrow Setzer; Thomas F Bateson; Michael DeVito; Rebecca C Dzubow; Julie W Fitzpatrick; Alicia M Frame; Karen A Hogan; Keith Houck; Michael Stewart
Journal:  Hum Ecol Risk Assess       Date:  2019-11-06       Impact factor: 5.190

4.  Bayesian Hierarchical Structure for Quantifying Population Variability to Inform Probabilistic Health Risk Assessments.

Authors:  Kan Shao; Bruce C Allen; Matthew W Wheeler
Journal:  Risk Anal       Date:  2016-12-29       Impact factor: 4.000

Review 5.  Recent Advances in Probabilistic Dose-Response Assessment to Inform Risk-Based Decision Making.

Authors:  Weihsueh A Chiu; Greg M Paoli
Journal:  Risk Anal       Date:  2020-09-23       Impact factor: 4.000

6.  Science and decisions: advancing toxicology to advance risk assessment.

Authors:  Joseph V Rodricks; Jonathan I Levy
Journal:  Toxicol Sci       Date:  2012-08-08       Impact factor: 4.849

Review 7.  A Unified Probabilistic Framework for Dose-Response Assessment of Human Health Effects.

Authors:  Weihsueh A Chiu; Wout Slob
Journal:  Environ Health Perspect       Date:  2015-05-22       Impact factor: 9.031

8.  A Web-Based System for Bayesian Benchmark Dose Estimation.

Authors:  Kan Shao; Andrew J Shapiro
Journal:  Environ Health Perspect       Date:  2018-01-11       Impact factor: 9.031

9.  Beyond the RfD: Broad Application of a Probabilistic Approach to Improve Chemical Dose-Response Assessments for Noncancer Effects.

Authors:  Weihsueh A Chiu; Daniel A Axelrad; Chimeddulam Dalaijamts; Chris Dockins; Kan Shao; Andrew J Shapiro; Greg Paoli
Journal:  Environ Health Perspect       Date:  2018-06-28       Impact factor: 9.031

  9 in total

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