Coupling Complete Blood Count and Steroidomics to Track Low Doses Administration of Recombinant Growth Hormone: An Anti-Doping Perspective.

anti-doping athlete biological passport 2 cbc growth hormone steroidomics trend analysis

Journal

Frontiers in molecular biosciences
ISSN: 2296-889X
Titre abrégé: Front Mol Biosci
Pays: Switzerland
ID NLM: 101653173

Informations de publication

Date de publication:
2021
Historique:
received: 21 03 2021
accepted: 20 05 2021
entrez: 28 6 2021
pubmed: 29 6 2021
medline: 29 6 2021
Statut: epublish

Résumé

Growth Hormone (GH) under its human recombinant homologue (rhGH), may be abused by athletes to take advantage of its well-known anabolic and lipolytic properties; hence it is prohibited in sports by the World Anti-Doping Agency. Due to the rapid turnover of rhGH, anti-doping screening tests have turned to monitor two endocrine biomarkers (IGF-I and P-III-NP), but unfortunately, they show population-wise variability, limiting the identification rate of rhGH users. Previous studies have evidenced the numerous effects of GH on human physiology, especially in hematopoiesis and steroidogenesis. In this work, aiming to discover novel physiological rhGH biomarkers, we analyzed the complete blood count and the steroidomics profile of healthy, physically active, young males treated either with EPO + rhGH or EPO + placebo. The time-trends of these two physiological routes have been analyzed through geometric trajectory analysis (GTA) and OPLS-DA. Individuals supplemented with micro-doses of rhGH exhibited different leukopoietic and steroidal profiles compared to the control population, suggesting a role of the rhGH in both pathways. In the article, hypotheses on the observed differences are discussed according to the most recent literature and compared to results in animal models. The use of leukopoietic and steroidal biomarkers together with endocrine biomarkers (IGF-1 and P-III-NP) allows to correctly classify over 98% of samples with no false positives, miss-classifying only one single sample (false negative) over a total of 56; a promising result, if compared to the current rhGH detection strategies.

Identifiants

pubmed: 34179089
doi: 10.3389/fmolb.2021.683675
pii: 683675
pmc: PMC8222787
doi:

Types de publication

Journal Article

Langues

eng

Pagination

683675

Informations de copyright

Copyright © 2021 Narduzzi, Buisson, Morvan, Marchand, Audran, Le Bouc, Varlet-Marie, Ericsson, Le Bizec and Dervilly.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Luca Narduzzi (L)

Laboratoire D'Etude des Résidus et Contaminants Dans Les Aliments (LABERCA), Oniris, INRΑe, Nantes -44307, France.

Corinne Buisson (C)

Département des Analyzes, Agence Française de Lutte Contre le Dopage (AFLD), Châtenay-Malabry, French Anti-Doping Agency, Paris, France.

Marie-Line Morvan (ML)

Laboratoire D'Etude des Résidus et Contaminants Dans Les Aliments (LABERCA), Oniris, INRΑe, Nantes -44307, France.

Alexandre Marchand (A)

Département des Analyzes, Agence Française de Lutte Contre le Dopage (AFLD), Châtenay-Malabry, French Anti-Doping Agency, Paris, France.

Michel Audran (M)

Département des Analyzes, Agence Française de Lutte Contre le Dopage (AFLD), Châtenay-Malabry, French Anti-Doping Agency, Paris, France.

Yves Le Bouc (Y)

Sorbonne Université, INSERM, Centre de Recherche St-Antoine (CRSA), Paris, France.

Emmanuelle Varlet-Marie (E)

Institut des Biomolécules Max Mousseron (IBMM), Centre Hospitalier Universitaire de Montpellier, Montpellie, France.

Magnus Ericsson (M)

Département des Analyzes, Agence Française de Lutte Contre le Dopage (AFLD), Châtenay-Malabry, French Anti-Doping Agency, Paris, France.

Bruno Le Bizec (B)

Laboratoire D'Etude des Résidus et Contaminants Dans Les Aliments (LABERCA), Oniris, INRΑe, Nantes -44307, France.

Gaud Dervilly (G)

Laboratoire D'Etude des Résidus et Contaminants Dans Les Aliments (LABERCA), Oniris, INRΑe, Nantes -44307, France.

Classifications MeSH