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Non-targeted, high resolution mass spectrometry strategy for simultaneous monitoring of xenobiotics and endogenous compounds in green sea turtles on the Great Barrier Reef

Overview of attention for article published in Science of the Total Environment, May 2017
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Title
Non-targeted, high resolution mass spectrometry strategy for simultaneous monitoring of xenobiotics and endogenous compounds in green sea turtles on the Great Barrier Reef
Published in
Science of the Total Environment, May 2017
DOI 10.1016/j.scitotenv.2017.05.016
Pubmed ID
Authors

Amy L. Heffernan, Maria M. Gómez-Ramos, Caroline Gaus, Soumini Vijayasarathy, Ian Bell, Christine Hof, Jochen F. Mueller, Maria J. Gómez-Ramos

Abstract

Chemical contamination poses a threat to ecosystem, biota and human health, and identifying these hazards is a complex challenge. Traditional hazard identification relies on a priori-defined targets of limited chemical scope, and is generally inappropriate for exploratory studies such as explaining toxicological effects in environmental systems. Here we present a non-target high resolution mass spectrometry environmental monitoring study with multivariate statistical analysis to simultaneously detect biomarkers of exposure (e.g. xenobiotics) and biomarkers of effect in whole turtle blood. Borrowing the concept from clinical chemistry, a case-control sampling approach was used to investigate the potential influence of xenobiotics of anthropogenic origin on free-ranging green sea turtles (Chelonia mydas) from a remote, offshore 'control' site; and two coastal 'case' sites influenced by urban/industrial and agricultural activities, respectively, on the Great Barrier Reef in North Queensland, Australia. Multiple biomarkers of exposure, including sulfonic acids (n=9), a carbamate insecticide metabolite, and other industrial chemicals; and five biomarkers of effect (lipid peroxidation products), were detected in case sites. Additionally, two endogenous biomarkers of neuroinflammation and oxidative stress were identified, and showed moderate-to-strong correlations with clinical measures of inflammation and liver dysfunction. Our data filtering strategy overcomes limitations of traditional a priori selection of target compounds, and adds to the limited environmental xenobiotic metabolomics literature. To our knowledge this is the first case-control study of xenobiotics in marine megafauna, and demonstrates the utility of green sea turtles to link internal and external exposure, to explain potential toxicological effects in environmental systems.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 129 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 19%
Student > Master 19 15%
Student > Ph. D. Student 14 11%
Other 8 6%
Student > Doctoral Student 7 5%
Other 21 16%
Unknown 35 27%
Readers by discipline Count As %
Environmental Science 27 21%
Chemistry 11 9%
Agricultural and Biological Sciences 8 6%
Biochemistry, Genetics and Molecular Biology 8 6%
Business, Management and Accounting 6 5%
Other 14 11%
Unknown 55 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 July 2017.
All research outputs
#20,947,998
of 25,728,855 outputs
Outputs from Science of the Total Environment
#23,566
of 30,205 outputs
Outputs of similar age
#251,123
of 325,478 outputs
Outputs of similar age from Science of the Total Environment
#284
of 375 outputs
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