Literature DB >> 23360570

Establishment of the cumulative margin of exposure for a group of polychlorinated biphenyl (PCB) congeners using an improved approach that accounts for both variability and uncertainty.

Fereshteh Kalantari1, Charlotte Bergkvist, Marika Berglund, Elena Fattore, Anders Glynn, Helen Håkansson, Salomon Sand.   

Abstract

In this study, the cumulative margin of exposure (MOE) was estimated for a group of polychlorinated biphenyls (PCBs) based on reduction of hepatic retinoids as a mode-of-action relevant toxicological endpoint. The MOE was defined as the ratio between a reference dose, derived using the benchmark dose (BMD) approach, and the estimated human dietary PCB exposure. A distribution for the cumulative MOE was established, taking into account inter- and intra-individual variability as well as uncertainty in data measurements. The cumulative MOE reflected mainly the MOE for PCB 126; other PCB congeners had little contribution to the cumulative exposure and MOE. The median of the 0.1st percentile for the cumulative MOE was about 20 for women; depending on the percentile, cumulative MOE was 2-4 times higher for men compared to women. Furthermore, a relative potency factor (RPF) based approach was compared to an RPF-free approach for estimating the cumulative MOE. The RPF-free approach more completely accounts for variability and uncertainty but is more data intensive than the RPF-based approach, which can be more easily implemented in practice and allows for a use of historical data on RPFs. Consideration of the discussed approaches may contribute to improving cumulative health risk assessments.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23360570     DOI: 10.1016/j.yrtph.2013.01.005

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


  1 in total

1.  Estimating Methylmercury Intake for the General Population of South Korea Using Physiologically Based Pharmacokinetic Modeling.

Authors:  Seungho Lee; Yu-Mei Tan; Martin B Phillips; Jon R Sobus; Sungkyoon Kim
Journal:  Toxicol Sci       Date:  2017-09-01       Impact factor: 4.849

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.