Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/7985
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dc.contributor.authorRand-Weaver, M-
dc.contributor.authorMargiotta-Casaluci, L-
dc.contributor.authorPatel, A-
dc.contributor.authorPanter, GH-
dc.contributor.authorOwen, SF-
dc.contributor.authorSumpter, JP-
dc.date.accessioned2014-02-04T10:57:09Z-
dc.date.available2014-02-04T10:57:09Z-
dc.date.issued2013-
dc.identifier.citationEnvironmental Science and Technology, 47(20), 11384-11395, 2013.en_US
dc.identifier.issn0013-936X-
dc.identifier.urihttp://pubs.acs.org/doi/abs/10.1021/es402065aen
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/7985-
dc.descriptionThis article is made available through the Brunel Open Access Publishing Fund. Copyright © 2013 American Chemical Society.en_US
dc.description.abstractPharmaceuticals in the environment have received increased attention over the past decade, as they are ubiquitous in rivers and waterways. Concentrations are in sub-ng to low μg/L, well below acute toxic levels, but there are uncertainties regarding the effects of chronic exposures and there is a need to prioritise which pharmaceuticals may be of concern. The read-across hypothesis stipulates that a drug will have an effect in non-target organisms only if the molecular targets such as receptors and enzymes have been conserved, resulting in a (specific) pharmacological effect only if plasma concentrations are similar to human therapeutic concentrations. If this holds true for different classes of pharmaceuticals, it should be possible to predict the potential environmental impact from information obtained during the drug development process. This paper critically reviews the evidence for read-across, and finds that few studies include plasma concentrations and mode of action based effects. Thus, despite a large number of apparently relevant papers and a general acceptance of the hypothesis, there is an absence of documented evidence. There is a need for large-scale studies to generate robust data for testing the read-across hypothesis and developing predictive models, the only feasible approach to protecting the environment.en_US
dc.description.sponsorshipBBSRC Industrial Partnership Award BB/ I00646X/1 and BBSRC Industrial CASE Partnership Studentship BB/I53257X/1 with AstraZeneca Safety Health and Environment Research Programme.en_US
dc.language.isoenen_US
dc.publisherAmerican Chemical Society Publicationsen_US
dc.subjectPharmaceuticalsen_US
dc.subjectRead-across hypothesisen_US
dc.subjectEnvironmenten_US
dc.subjectEnvironmental risk assessmenten_US
dc.subjectWateren_US
dc.titleThe read-across hypothesis and environmental risk assessment of pharmaceuticalsen_US
dc.typeArticleen_US
dc.identifier.doihttp://dx.doi.org/10.1021/es402065a-
Appears in Collections:Environment
Biological Sciences
Brunel OA Publishing Fund
Dept of Life Sciences Research Papers

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