| Literature DB >> 26403382 |
Jessica Vestel1, Daniel J Caldwell2, Lisa Constantine3, Vincent J D'Aco4, Todd Davidson5, David G Dolan6, Steven P Millard7, Richard Murray-Smith8, Neil J Parke9, Jim J Ryan10, Jürg Oliver Straub11, Peter Wilson12.
Abstract
For many older pharmaceuticals, chronic aquatic toxicity data are limited. To assess risk during development, scale-up, and manufacturing processes, acute data and physicochemical properties need to be leveraged to reduce potential long-term impacts to the environment. Aquatic toxicity data were pooled from daphnid, fish, and algae studies for 102 active pharmaceutical ingredients (APIs) to evaluate the relationship between predicted no-effect concentrations (PNECs) derived from acute and chronic tests. The relationships between acute and chronic aquatic toxicity and the n-octanol/water distribution coefficient (D(OW)) were also characterized. Statistically significant but weak correlations were observed between toxicity and log D(OW), indicating that D(OW) is not the only contributor to toxicity. Both acute and chronic PNEC values could be calculated for 60 of the 102 APIs. For most compounds, PNECs derived from acute data were lower than PNECs derived from chronic data, with the exception of steroid estrogens. Seven percent of the PNECs derived from acute data were below the European Union action limit of 0.01 μg/L and all were anti-infectives affecting algal species. Eight percent of available PNECs derived from chronic data were below the European Union action limit, and fish were the most sensitive species for all but 1 API. These analyses suggest that the use of acute data may be acceptable if chronic data are unavailable, unless specific mode of action concerns suggest otherwise.Entities:
Keywords: Acute-to-chronic ratio; Aquatic toxicity; Environmental risk assessment; Pharmaceuticals; Predicted no-effect concentration (PNEC)
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Year: 2016 PMID: 26403382 DOI: 10.1002/etc.3260
Source DB: PubMed Journal: Environ Toxicol Chem ISSN: 0730-7268 Impact factor: 3.742