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Metabolomics profiling of xenobiotics in elite athletes: relevance to supplement consumption
Authors:Fatima Al-Khelaifi  Ilhame Diboun  Francesco Donati  Francesco Botrè  Mohammed Alsayrafi  Costas Georgakopoulos  Noha A Yousri  Karsten Suhre  Mohamed A Elrayess
Affiliation:1.Anti Doping Laboratory Qatar,Doha,Qatar;2.UCL-Medical School, Royal Free Campus,London,UK;3.Department of Economics, Mathematics and Statistics,Birkbeck, University of London,London,UK;4.Laboratorio Antidoping, Federazione Medico Sportiva Italiana,Rome,Italy;5.Department of Genetic Medicine, Weill Cornell Medical College in Qatar, Qatar-Foundation,Doha,Qatar;6.Department of Physiology and Biophysics, Weill Cornell Medical College in Qatar, Qatar-Foundation,Doha,Qatar
Abstract:

Background

Supplements are widely used among elite athletes to maintain health and improve performance. Despite multiple studies investigating use of dietary supplements by athletes, a comprehensive profiling of serum supplement metabolites in elite athletes is still lacking. This study aims to analyze the presence of various xenobiotics in serum samples from elite athletes of different sports, focusing on metabolites that potentially originate from nutritional supplements.

Methods

Profiling of xenobiotics in serum samples from 478 elite athletes from different sports (football, athletics, cycling, rugby, swimming, boxing and rowing) was performed using non-targeted metabolomics-based mass spectroscopy combined with ultrahigh-performance liquid chromatography. Multivariate analysis was performed using orthogonal partial least squares discriminant analysis. Differences in metabolic levels among different sport groups were identified by univariate linear models.

Results

Out of the 102 detected xenobiotics, 21 were significantly different among sport groups including metabolites that potentially prolong exercise tolerance (caffeic acid), carry a nootropic effect (2-pyrrolidinone), exert a potent anti-oxidant effect (eugenol, ferulic acid 4 sulfate, thioproline, retinol), or originate from drugs for different types of injuries (ectoine, quinate). Using Gaussian graphical modelling, a metabolic network that links various sport group-associated xenobiotics was constructed to further understand their metabolic pathways.

Conclusions

This pilot data provides evidence that athletes from different sports exhibit a distinct xenobiotic profile that may reflect their drug/supplement use, diet and exposure to various chemicals. Because of limitation in the study design, replication studies are warranted to confirm results in independent data sets, aiming ultimately for better assessment of dietary supplement use by athletes.
Keywords:
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