Literature DB >> 15028001

A parametric model for detecting hormetic effects in developmental toxicity studies.

Daniel L Hunt1, Dale Bowman.   

Abstract

Hormetic effects have been observed at low exposure levels based on the dose-response pattern of data from developmental toxicity studies. This indicates that there might actually be a reduced risk of exhibiting toxic effects at low exposure levels. Hormesis implies the existence of a threshold dose level and there are dose-response models that include parameters that account for the threshold. We propose a function that introduces a parameter to account for hormesis. This function is a subset of the set of all functions that could represent a hormetic dose-response relationship at low exposure levels to toxic agents. We characterize the overall dose-response relationship with a piecewise function that consists of a hormetic u-shape curve at low dose levels and a logistic curve at high dose levels. We apply our model to a data set from an experiment conducted at the National Toxicology Program (NTP). We also use the beta-binomial distribution to model the litter response data. It can be seen by observing the structure of these data that current experimental designs for developmental studies employ a limited number of dose groups. These designs may not be satisfactory when the goal is to illustrate the existence of hormesis. In particular, increasing the number of low-level doses improves the power for detecting hormetic effects. Therefore, we also provide the results of simulations that were done to characterize the power of current designs in detecting hormesis and to demonstrate how this power can be improved upon by altering these designs with the addition of only a few low exposure levels.

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Year:  2004        PMID: 15028001     DOI: 10.1111/j.0272-4332.2004.00412.x

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


  6 in total

1.  Inference for the existence of hormetic dose-response relationships in toxicology studies.

Authors:  Steven B Kim; Scott M Bartell; Daniel L Gillen
Journal:  Biostatistics       Date:  2016-02-12       Impact factor: 5.899

2.  Summary of dose-response modeling for developmental toxicity studies.

Authors:  Daniel L Hunt; Shesh N Rai; Chin-Shang Li
Journal:  Dose Response       Date:  2008-10-16       Impact factor: 2.658

3.  Optimal experimental design strategies for detecting hormesis.

Authors:  Holger Dette; Andrey Pepelyshev; Weng Kee Wong
Journal:  Risk Anal       Date:  2011-05-05       Impact factor: 4.000

4.  Study of the hormetic effect of disinfectants chlorhexidine, povidone iodine and benzalkonium chloride.

Authors:  L Morales-Fernández; M Fernández-Crehuet; M Espigares; E Moreno; E Espigares
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2013-07-27       Impact factor: 3.267

5.  An automated fitting procedure and software for dose-response curves with multiphasic features.

Authors:  Giovanni Y Di Veroli; Chiara Fornari; Ian Goldlust; Graham Mills; Siang Boon Koh; Jo L Bramhall; Frances M Richards; Duncan I Jodrell
Journal:  Sci Rep       Date:  2015-10-01       Impact factor: 4.379

6.  Model Averaging with AIC Weights for Hypothesis Testing of Hormesis at Low Doses.

Authors:  Steven B Kim; Nathan Sanders
Journal:  Dose Response       Date:  2017-06-29       Impact factor: 2.658

  6 in total

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