Literature DB >> 16965845

A benchmark dose analysis for sodium monofluoroacetate (1080) using dichotomous toxicity data.

Natalia M Foronda1, Jefferson Fowles, Nerida Smith, Michael Taylor, Wayne Temple.   

Abstract

The use of a benchmark dose (BMD) as an alternative to a no-observed-adverse-effect-level (NOAEL) approach was investigated as a means to improve current risk assessment values of sodium monofluoroacetate (1080). The feasibility of implementing the two approaches was investigated for three critical toxicological end points, namely cardiomyopathy, testicular toxicity and teratogenic effects identified from the few available critical studies. The BMD provides better representation of the dose-response relationship, offering an advantage over the current NOAEL approach. The calculated BMDs and lower-bound confidence limits (BMDLs) for the three end points were estimated using the Weibull, probit and quantal linear models for each end point. All models passed the chi2 test statistics (p > or = 0.1) for all three toxicity endpoints tested. A benchmark response (BMR) of 10% (extra risk) was chosen and the Akaike's information criterion (AIC) was used in selecting the appropriate model. The BMDL estimates derived were found to be generally slightly higher but comparable to the NOAEL for those same endpoints. The BMD(10) and BMDL(10) for cardiomyopathy and testicular effects were 0.21 mgkg(-1) bw and 0.10 mgkg(-1) bw, respectively. These values are proposed for use in the eventual determination of the tolerable daily intake (TDI) for 1080.

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Year:  2006        PMID: 16965845     DOI: 10.1016/j.yrtph.2006.08.002

Source DB:  PubMed          Journal:  Regul Toxicol Pharmacol        ISSN: 0273-2300            Impact factor:   3.271


  2 in total

1.  Simultaneous Confidence Bands for Abbott-Adjusted Quantal Response Models.

Authors:  Brooke E Buckley; Walter W Piegorsch
Journal:  Stat Methodol       Date:  2008-05

2.  The Impact of Model Uncertainty on Benchmark Dose Estimation.

Authors:  R Webster West; Walter W Piegorsch; Edsel A Peña; Lingling An; Wensong Wu; Alissa A Wickens; Hui Xiong; Wenhai Chen
Journal:  Environmetrics       Date:  2012-12       Impact factor: 1.900

  2 in total

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