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Biological variation of inflammatory and iron metabolism markers in high-endurance recreational athletes; are these markers useful for athlete monitoring?

Jorge Díaz-GarzónOuti ItkonenAasne K AarsandSverre SandbergAbdurrahman CoskunAnna CarobeneNiels JonkerWilliam A BartlettAntonio BuñoPilar Fernandez-Calle
Published in: Clinical chemistry and laboratory medicine (2023)
This study provides, for the first time, BV data for EPO, derived from a cohort of well-characterized endurance athletes and indicates that EPO is a good candidate for athlete follow-up. The application of the Bayesian method to deliver BV data illustrates that for hepcidin and sTfR, BV data are heterogeneously distributed and using a mean BV estimate may not be appropriate when using BV data for laboratory and clinical applications.
Keyphrases
  • lps induced
  • lipopolysaccharide induced
  • electronic health record
  • big data
  • skeletal muscle
  • inflammatory response
  • high intensity
  • machine learning
  • deep learning
  • neural network