A non-targeted LC-HRMS approach for detecting exposure to illegal veterinary treatments: The case of cephalosporins in commercial laying Hens

•Common potential biomarkers of treatment by ceftiofur and cefquinome have been detected.•Impact of a treatment by cefquinome only has been observed on liver metabolome.•Predictive models in droppings displayed acceptable classification capabilities. Cephalosporins are of particular importance in hu...

Full description

Saved in:
Bibliographic Details
Published in:Journal of Chromatography A 2019-08, Vol.1599, p.161-171
Main Authors: Gaugain, Murielle, Mompelat, Sophie, Fourmond, Marie-Pierre, Manceau, Jacqueline, Rolland, Jean-Guy, Laurentie, Michel, Verdon, Eric, Bellanger, Lise, Hurtaud-Pessel, Dominique
Format: Article
Language:English
Subjects:
Analytical chemistry
Antibiotics
Cephalosporins
Chemical Sciences
Exposure
Humanities and Social Sciences
Laying hens
LC-HRMS
Mathematics
Metabolomics
Methods and statistics
Statistics
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:•Common potential biomarkers of treatment by ceftiofur and cefquinome have been detected.•Impact of a treatment by cefquinome only has been observed on liver metabolome.•Predictive models in droppings displayed acceptable classification capabilities. Cephalosporins are of particular importance in human medicine and should be reserved for second-line curative treatment in the veterinary field to avoid any emerging antimicrobial resistance. Due to misuse of ceftiofur in the poultry sector in France, it is now recommended to completely stop using cephalosporins in this sector. Methods currently used for the control of veterinary practices are mostly based on liquid chromatography coupled to mass spectrometry in a targeted mode, including parent compounds and any major metabolites. The aim of the present study was to evaluate the relevance of untargeted metabolomic approaches to highlight a possible exposure of laying hens to cephalosporins using a predictive model including selected treatment biomarkers. An experimentation carried out on living animals involved the administration of cefquinome and ceftiofur. Three biological matrices—droppings, eggs and liver—were investigated. Metabolites were extracted and analysed by liquid chromatography coupled to high resolution mass spectrometry in a full scan mode. Metabolites impacted by the treatment were selected by using univariate and multivariate statistical analyses. Predictive models built from the potential biomarkers selected in the "droppings" matrix were validated and able to classify “treated” and “control” hens. PLS-DA and logistic regression models were compared and both models gave satisfactory results in terms of prediction. Results were of less interest for other matrices in which only biomarkers of exposure to cefquinome were detected.
ISSN:0021-9673
1873-3778
DOI:10.1016/j.chroma.2019.04.022