Literature DB >> 22126138

Evaluation of the benchmark dose for point of departure determination for a variety of chemical classes in applied regulatory settings.

Hoda Izadi1, Jean E Grundy, Ranjan Bose.   

Abstract

Repeated-dose studies received by the New Substances Assessment and Control Bureau (NSACB) of Health Canada are used to provide hazard information toward risk calculation. These studies provide a point of departure (POD), traditionally the NOAEL or LOAEL, which is used to extrapolate the quantity of substance above which adverse effects can be expected in humans. This project explored the use of benchmark dose (BMD) modeling as an alternative to this approach for studies with few dose groups. Continuous data from oral repeated-dose studies for chemicals previously assessed by NSACB were reanalyzed using U.S. EPA benchmark dose software (BMDS) to determine the BMD and BMD 95% lower confidence limit (BMDL(05) ) for each endpoint critical to NOAEL or LOAEL determination for each chemical. Endpoint-specific benchmark dose-response levels , indicative of adversity, were consistently applied. An overall BMD and BMDL(05) were calculated for each chemical using the geometric mean. The POD obtained from benchmark analysis was then compared with the traditional toxicity thresholds originally used for risk assessment. The BMD and BMDL(05) generally were higher than the NOAEL, but lower than the LOAEL. BMDL(05) was generally constant at 57% of the BMD. Benchmark provided a clear advantage in health risk assessment when a LOAEL was the only POD identified, or when dose groups were widely distributed. Although the benchmark method cannot always be applied, in the selected studies with few dose groups it provided a more accurate estimate of the real no-adverse-effect level of a substance.
© 2011 Society for Risk Analysis.

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Year:  2011        PMID: 22126138     DOI: 10.1111/j.1539-6924.2011.01732.x

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


  5 in total

1.  Time-dependent behavioral data from zebrafish reveals novel signatures of chemical toxicity using point of departure analysis.

Authors:  Dennis G Thomas; Harish Shankaran; Lisa Truong; Robert L Tanguay; Katrina M Waters
Journal:  Comput Toxicol       Date:  2018-11-10

2.  Benchmark dose estimation for coke oven emissions based on oxidative damage in Chinese exposed workers.

Authors:  Kaili Zou; Pengpeng Wang; Xiaoran Duan; Yongli Yang; Hui Zhang; Sihua Wang; Liuhua Shi; Yanbin Wang; Wu Yao; Wei Wang
Journal:  Ecotoxicol Environ Saf       Date:  2020-07-02       Impact factor: 6.291

3.  Benchmark Dose Analysis via Nonparametric Regression Modeling.

Authors:  Walter W Piegorsch; Hui Xiong; Rabi N Bhattacharya; Lizhen Lin
Journal:  Risk Anal       Date:  2013-05-17       Impact factor: 4.000

4.  Nonparametric estimation of benchmark doses in environmental risk assessment.

Authors:  Walter W Piegorsch; Hui Xiong; Rabi N Bhattacharya; Lizhen Lin
Journal:  Environmetrics       Date:  2012-12-01       Impact factor: 1.900

5.  A Novel Approach to Chemical Mixture Risk Assessment-Linking Data from Population-Based Epidemiology and Experimental Animal Tests.

Authors:  Carl-Gustaf Bornehag; Efthymia Kitraki; Antonios Stamatakis; Emily Panagiotidou; Christina Rudén; Huan Shu; Christian Lindh; Joelle Ruegg; Chris Gennings
Journal:  Risk Anal       Date:  2019-06-07       Impact factor: 4.000

  5 in total

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