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Targeted metabolomics of Gammarus pulex following controlled exposures to selected pharmaceuticals in water

The effects of pharmaceuticals and personal care products (PPCPs) on aquatic organisms represent a significant current concern. Herein, a targeted metabolomics approach using liquid chromatography-high resolution mass spectrometry (LC-HRMS) is presented to characterise concentration changes in 29 se...

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Autores principales: Gómez-Canela, Cristian, Miller, Thomas H., Bury, Nicolas R., Tauler, Romà, Barron, Leon P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4912218/
https://www.ncbi.nlm.nih.gov/pubmed/27110989
http://dx.doi.org/10.1016/j.scitotenv.2016.03.181
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author Gómez-Canela, Cristian
Miller, Thomas H.
Bury, Nicolas R.
Tauler, Romà
Barron, Leon P.
author_facet Gómez-Canela, Cristian
Miller, Thomas H.
Bury, Nicolas R.
Tauler, Romà
Barron, Leon P.
author_sort Gómez-Canela, Cristian
collection PubMed
description The effects of pharmaceuticals and personal care products (PPCPs) on aquatic organisms represent a significant current concern. Herein, a targeted metabolomics approach using liquid chromatography-high resolution mass spectrometry (LC-HRMS) is presented to characterise concentration changes in 29 selected metabolites following exposures of aquatic invertebrates, Gammarus pulex, to pharmaceuticals. Method performance revealed excellent linearity (R(2) > 0.99), precision (0.1–19%) and lower instrumental limits of detection (0.002–0.20 ng) for all metabolites studied. Three pharmaceuticals were selected representing the low, middle and high range of measured acute measured toxicities (of a total of 26 compounds). Gammarids were exposed to both the no-observed-adverse-effect-level (NOAEL) and the lowest-observed-adverse-effect-level (LOAEL) of triclosan (0.1 and 0.3 mg L(− 1)), nimesulide (0.5 and 1.4 mg L(− 1)) and propranolol (100 and 153 mg L(− 1)) over 24 h. Quantitative metabolite profiling was then performed. Significant changes in metabolite concentrations relative to controls are presented and display distinct clustered trends for each pharmaceutical. Approximately 37% (triclosan), 33% (nimesulide) and 46% (propranolol) of metabolites showed statistically significant time-related effects. Observed changes are also discussed with respect to internal concentrations of the three pharmaceuticals measured using a method based on pulverised liquid extraction, solid phase extraction and LC-MS/MS. Potential metabolic pathways that may be affected by such exposures are also discussed. This represents the first study focussing on quantitative, targeted metabolomics of this lower trophic level benthic invertebrate that may elucidate biomarkers for future risk assessment.
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spelling pubmed-49122182016-08-15 Targeted metabolomics of Gammarus pulex following controlled exposures to selected pharmaceuticals in water Gómez-Canela, Cristian Miller, Thomas H. Bury, Nicolas R. Tauler, Romà Barron, Leon P. Sci Total Environ Article The effects of pharmaceuticals and personal care products (PPCPs) on aquatic organisms represent a significant current concern. Herein, a targeted metabolomics approach using liquid chromatography-high resolution mass spectrometry (LC-HRMS) is presented to characterise concentration changes in 29 selected metabolites following exposures of aquatic invertebrates, Gammarus pulex, to pharmaceuticals. Method performance revealed excellent linearity (R(2) > 0.99), precision (0.1–19%) and lower instrumental limits of detection (0.002–0.20 ng) for all metabolites studied. Three pharmaceuticals were selected representing the low, middle and high range of measured acute measured toxicities (of a total of 26 compounds). Gammarids were exposed to both the no-observed-adverse-effect-level (NOAEL) and the lowest-observed-adverse-effect-level (LOAEL) of triclosan (0.1 and 0.3 mg L(− 1)), nimesulide (0.5 and 1.4 mg L(− 1)) and propranolol (100 and 153 mg L(− 1)) over 24 h. Quantitative metabolite profiling was then performed. Significant changes in metabolite concentrations relative to controls are presented and display distinct clustered trends for each pharmaceutical. Approximately 37% (triclosan), 33% (nimesulide) and 46% (propranolol) of metabolites showed statistically significant time-related effects. Observed changes are also discussed with respect to internal concentrations of the three pharmaceuticals measured using a method based on pulverised liquid extraction, solid phase extraction and LC-MS/MS. Potential metabolic pathways that may be affected by such exposures are also discussed. This represents the first study focussing on quantitative, targeted metabolomics of this lower trophic level benthic invertebrate that may elucidate biomarkers for future risk assessment. Elsevier 2016-08-15 /pmc/articles/PMC4912218/ /pubmed/27110989 http://dx.doi.org/10.1016/j.scitotenv.2016.03.181 Text en © 2016 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gómez-Canela, Cristian
Miller, Thomas H.
Bury, Nicolas R.
Tauler, Romà
Barron, Leon P.
Targeted metabolomics of Gammarus pulex following controlled exposures to selected pharmaceuticals in water
title Targeted metabolomics of Gammarus pulex following controlled exposures to selected pharmaceuticals in water
title_full Targeted metabolomics of Gammarus pulex following controlled exposures to selected pharmaceuticals in water
title_fullStr Targeted metabolomics of Gammarus pulex following controlled exposures to selected pharmaceuticals in water
title_full_unstemmed Targeted metabolomics of Gammarus pulex following controlled exposures to selected pharmaceuticals in water
title_short Targeted metabolomics of Gammarus pulex following controlled exposures to selected pharmaceuticals in water
title_sort targeted metabolomics of gammarus pulex following controlled exposures to selected pharmaceuticals in water
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4912218/
https://www.ncbi.nlm.nih.gov/pubmed/27110989
http://dx.doi.org/10.1016/j.scitotenv.2016.03.181
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