| Literature DB >> 28941809 |
Céline Joré1, Benoît Loup2, Patrice Garcia3, Anne-Christelle Paris3, Marie-Agnès Popot3, Michel Audran4, Yves Bonnaire3, Emmanuelle Varlet-Marie5, Ludovic Bailly-Chouriberry3.
Abstract
Erythropoiesis Stimulating Agents (ESAs) were developed for therapeutic purposes to stimulate red blood cell (RBC) production. Consequently, tissue oxygenation is enhanced as athlete's endurance and ESAs misuse now benefits doping. Our hypothesis is that most of ESAs should have similar mechanisms and thus have the same effects on metabolism. Studying the metabolome variations could allow suspecting the use of any ESAs with a single method by targeting their effects. In this objective, a metabolomic study was carried out on 3 thoroughbred horses with a single administration of 4.2μg/kg of Mircera®, also called Continuous Erythropoiesis Receptor Activator (CERA). Blood and urine samples were collected from D-17 to D+74 and haematological parameters were followed throughout the study as plasmatic CERA concentration (ELISA). Urine and plasma metabolic fingerprints were recorded by Liquid Chromatography coupled to High Resolution Mass Spectrometry (LC-HRMS) in positive and negative mode. After preprocessing steps, normalized data were analyzed by multivariate statistics to build OPLS models. Hemoglobin concentration and hematocrit showed a significant increase after CERA administration unlike reticulocytes. CERA concentration showed a high intensity peak and then a slow decrease until becoming undetectable after D+31. Models built with multivariate statistics allow a discrimination between pre and post-administration plasma and urine samples until 74days after administration, i.e. 43days longer than ELISA method. By reducing and studying variables (ions), some potential candidate biomarkers were found.Entities:
Keywords: Biofluids; Doping control; Erythropoietin; Horse; LC-HRMS; Metabolomics
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Year: 2017 PMID: 28941809 DOI: 10.1016/j.chroma.2017.09.029
Source DB: PubMed Journal: J Chromatogr A ISSN: 0021-9673 Impact factor: 4.759