Literature DB >> 18417188

Calculating human exposure to endocrine disrupting pesticides via agricultural and non-agricultural exposure routes.

R McKinlay1, J A Plant, J N B Bell, N Voulvoulis.   

Abstract

Endocrine Disrupting Chemicals (EDCs) are of increasing concern because of their potential impacts on the environment, wildlife and human health. Pesticides and some pesticide metabolites are an important group of EDC, and exposure to them is a poorly quantified source of human and environmental exposure to such chemicals generally. Models for estimating human exposure to Endocrine Disrupting (ED) pesticides are an important risk management tool. Probabilistic models are now being used in addition to deterministic ones in all areas of risk assessment. These can provide more realistic exposure estimates, because they are better able to deal with variation and uncertainty more effectively and better inform risk management decisions. Deterministic models are still used and are of great value where exposure data are scarce. Models or groups of models that provide holistic human ED pesticide exposure estimates are required if the risk posed to humans by ED pesticides is to be better assessed. Much more research is needed to quantify different exposure routes such as exposure from agricultural spray drift and the medical use of pesticides to develop such models. Most available probabilistic models of human exposure were developed in the USA and require modification for use elsewhere. In particular, datasets equivalent to those used to create and apply the American models are required. This paper examines the known routes of human pesticide exposure with particular reference to ED pesticides and their quantification as unlike pesticides generally, many ED pesticides are harmful at very low doses, especially if exposure occurs during sensitive stages of development, producing effects that may not manifest for many years or that affect descendants via epigenetic changes. It also summarises available deterministic and probabilistic models commonly used to calculate human exposure. The main requirement if such models are to be used in the UK is more quantitative data on the sources and pathways of human ED pesticide exposure.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18417188     DOI: 10.1016/j.scitotenv.2008.02.056

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  14 in total

1.  Agricultural landscape simplification does not consistently drive insecticide use.

Authors:  Ashley E Larsen
Journal:  Proc Natl Acad Sci U S A       Date:  2013-09-03       Impact factor: 11.205

Review 2.  Nongenomic signaling pathways of estrogen toxicity.

Authors:  Cheryl S Watson; Yow-Jiun Jeng; Mikhail Y Kochukov
Journal:  Toxicol Sci       Date:  2009-12-02       Impact factor: 4.849

Review 3.  A perspective on the potential risks of emerging contaminants to human and environmental health.

Authors:  Lílian Cristina Pereira; Alecsandra Oliveira de Souza; Mariana Furio Franco Bernardes; Murilo Pazin; Maria Júlia Tasso; Paulo Henrique Pereira; Daniel Junqueira Dorta
Journal:  Environ Sci Pollut Res Int       Date:  2015-07-24       Impact factor: 4.223

4.  Dialkyl phosphate urinary metabolites and chromosomal abnormalities in human sperm.

Authors:  Zaida I Figueroa; Heather A Young; John D Meeker; Sheena E Martenies; Dana Boyd Barr; George Gray; Melissa J Perry
Journal:  Environ Res       Date:  2015-10-28       Impact factor: 6.498

5.  Concentrations and distribution of organochlorine pesticides in pine needles of typical regions in Northern Xinjiang.

Authors:  Xiaoning Lei; Dan Ran; Jianjiang Lu; Zhijian Du; Zilong Liu
Journal:  Environ Sci Pollut Res Int       Date:  2013-06-06       Impact factor: 4.223

6.  The impact of seasonal variation on organochlorine pesticide residues in buffalo and cow milk of selected dairy farms from Faisalabad region.

Authors:  Muhammad Wasim Sajid; Muhammad Shamoon; Muhammad Atif Randhawa; Muhammad Asim; Abdul Shakoor Chaudhry
Journal:  Environ Monit Assess       Date:  2016-09-26       Impact factor: 2.513

7.  Estrogens of multiple classes and their role in mental health disease mechanisms.

Authors:  Cheryl S Watson; Rebecca A Alyea; Kathryn A Cunningham; Yow-Jiun Jeng
Journal:  Int J Womens Health       Date:  2010-08-09

8.  Differential regulation of dopamine transporter function and location by low concentrations of environmental estrogens and 17beta-estradiol.

Authors:  Rebecca A Alyea; Cheryl S Watson
Journal:  Environ Health Perspect       Date:  2009-01-05       Impact factor: 9.031

9.  Malaria control insecticide residues in breast milk: the need to consider infant health risks.

Authors:  Hindrik Bouwman; Henrik Kylin
Journal:  Environ Health Perspect       Date:  2009-05-01       Impact factor: 9.031

10.  Current views on genetics and epigenetics of cholesterol gallstone disease.

Authors:  Agostino Di Ciaula; David Q-H Wang; Leonilde Bonfrate; Piero Portincasa
Journal:  Cholesterol       Date:  2013-04-14
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.