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1000 Titel
  • Metabolomics profiling of xenobiotics in elite athletes: relevance to supplement consumption
1000 Autor/in
  1. Al-Khelaifi, Fatima |
  2. Diboun, Ilhame |
  3. Donati, Francesco |
  4. Botrè, Francesco |
  5. Alsayrafi, Mohammed |
  6. Georgakopoulos, Costas |
  7. Yousri, Noha A. |
  8. Suhre, Karsten |
  9. Elrayess, Mohamed |
1000 Erscheinungsjahr 2018
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2018-09-27
1000 Erschienen in
1000 Quellenangabe
  • 15:48
1000 Copyrightjahr
  • 2018
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s12970-018-0254-7 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6161339/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • 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.
1000 Sacherschließung
lokal Athletes
lokal Xenobiotics
lokal Nutritional supplements
lokal Metabolomics
lokal Sport
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/QWwtS2hlbGFpZmksIEZhdGltYQ==|https://frl.publisso.de/adhoc/uri/RGlib3VuLCBJbGhhbWU=|https://frl.publisso.de/adhoc/uri/RG9uYXRpLCBGcmFuY2VzY28=|https://frl.publisso.de/adhoc/uri/Qm90csOoLCBGcmFuY2VzY28=|https://frl.publisso.de/adhoc/uri/QWxzYXlyYWZpLCBNb2hhbW1lZA==|https://frl.publisso.de/adhoc/uri/R2Vvcmdha29wb3Vsb3MsIENvc3Rhcw==|https://frl.publisso.de/adhoc/uri/WW91c3JpLCBOb2hhIEEu|https://frl.publisso.de/adhoc/uri/U3VocmUsIEthcnN0ZW4=|https://orcid.org/0000-0003-3803-4604
1000 Label
1000 Förderer
  1. Qatar National Research Fund |
1000 Fördernummer
  1. NPRP7-272-1-041
1000 Förderprogramm
  1. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Qatar National Research Fund |
    1000 Förderprogramm -
    1000 Fördernummer NPRP7-272-1-041
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6416444.rdf
1000 Erstellt am 2019-09-19T17:12:06.167+0200
1000 Erstellt von 218
1000 beschreibt frl:6416444
1000 Bearbeitet von 218
1000 Zuletzt bearbeitet 2020-01-30T17:33:41.236+0100
1000 Objekt bearb. Thu Sep 19 17:12:52 CEST 2019
1000 Vgl. frl:6416444
1000 Oai Id
  1. oai:frl.publisso.de:frl:6416444 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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