Literature DB >> 15254340

Dose-response modeling and benchmark calculations from spontaneous behavior data on mice neonatally exposed to 2,2',4,4',5-pentabromodiphenyl ether.

Salomon Sand1, Dietrich von Rosen, Per Eriksson, Anders Fredriksson, Henrik Viberg, Katarina Victorin, Agneta Falk Filipsson.   

Abstract

In this paper the benchmark dose (BMD) method was introduced for spontaneous behavior data observed in 2-, 5-, and 8-month-old male and female C57Bl mice exposed orally on postnatal day 10 to different doses of 2,2',4,4',5-pentabromodiphenyl ether (PBDE 99). Spontaneous behavior (locomotion, rearing, and total activity) was in the present work quantified in terms of a fractional response defined as the cumulative response after 20 min divided by the cumulative response produced over the whole 1-h test period. The fractional response contains information about the time-response profile (which differs between the treatment groups) and has appropriate statistical characteristics. In the analysis, male and female mice could be characterized by a common dose-response model (i.e., they responded equally to the exposure to PBDE 99). As a primary approach, the BMD was defined as the dose producing a 5 or 10% change in the mean fractional response. According to the Hill model, considering a 10% change the lower bound of the BMD for rearing, locomotion, and total activity was 1.2, 0.85, and 0.31 mg PBDE 99/kg body weight, respectively. A probability-based procedure for BMD modeling was also considered. Using this methodology, the BMD was defined as corresponding to an excess risk of 5 or 10% of falling below cutoff points representing adverse levels of fractional response.

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Year:  2004        PMID: 15254340     DOI: 10.1093/toxsci/kfh222

Source DB:  PubMed          Journal:  Toxicol Sci        ISSN: 1096-0929            Impact factor:   4.849


  7 in total

1.  Two-Stage Experimental Design for Dose-Response Modeling in Toxicology Studies.

Authors:  Kai Wang; Feng Yang; Dale W Porter; Nianqiang Wu
Journal:  ACS Sustain Chem Eng       Date:  2013-06-27       Impact factor: 8.198

2.  Accounting for Uncertainty in Heteroscedasticity in Nonlinear Regression.

Authors:  Changwon Lim; Pranab K Sen; Shyamal D Peddada
Journal:  J Stat Plan Inference       Date:  2012-05-01       Impact factor: 1.111

3.  Associations between brominated flame retardants in human milk and thyroid-stimulating hormone (TSH) in neonates.

Authors:  Merete Eggesbø; Cathrine Thomsen; Jens V Jørgensen; Georg Becher; Jon Øyvind Odland; Matthew P Longnecker
Journal:  Environ Res       Date:  2011-05-20       Impact factor: 6.498

Review 4.  Developmental neurotoxicity of polybrominated diphenyl ether (PBDE) flame retardants.

Authors:  Lucio G Costa; Gennaro Giordano
Journal:  Neurotoxicology       Date:  2007-08-24       Impact factor: 4.294

5.  Benchmark dose for cadmium-induced renal effects in humans.

Authors:  Yasushi Suwazono; Salomon Sand; Marie Vahter; Agneta Falk Filipsson; Staffan Skerfving; Jonas Lidfeldt; Agneta Akesson
Journal:  Environ Health Perspect       Date:  2006-07       Impact factor: 9.031

6.  In utero and lactational exposures to low doses of polybrominated diphenyl ether-47 alter the reproductive system and thyroid gland of female rat offspring.

Authors:  Chris E Talsness; Sergio N Kuriyama; Anja Sterner-Kock; Petra Schnitker; Simone Wichert Grande; Mehdi Shakibaei; Anderson Andrade; Konstanze Grote; Ibrahim Chahoud
Journal:  Environ Health Perspect       Date:  2008-03       Impact factor: 9.031

7.  A New Stochastic Kriging Method for Modeling Multi-Source Exposure-Response Data in Toxicology Studies.

Authors:  Kai Wang; Xi Chen; Feng Yang; Dale W Porter; Nianqiang Wu
Journal:  ACS Sustain Chem Eng       Date:  2014-05-20       Impact factor: 8.198

  7 in total

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