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Killoughery IT, Pitsiladis YP. Olympic AI agenda: we need collaboration to achieve evolution. Br J Sports Med 2024:bjsports-2024-108667. [PMID: 39107076 DOI: 10.1136/bjsports-2024-108667] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/26/2024] [Indexed: 08/09/2024]
Affiliation(s)
- Iain T Killoughery
- Department of Sport, Physical Education and Health, Hong Kong Baptist University, Hong Kong, Hong Kong
| | - Yannis P Pitsiladis
- Department of Sport, Physical Education and Health, Hong Kong Baptist University, Hong Kong, Hong Kong
- International Federation of Sports Medicine, Lausanne, Switzerland
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2
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Lima G, Shurlock J, Wang G, Karanikolou A, Sutehall S, Pitsiladis YP, D'Alessandro A. Metabolomic Profiling of Recombinant Erythropoietin (rHuEpo) in Trained Caucasian Athletes. Clin J Sport Med 2023; 33:e123-e134. [PMID: 36731031 DOI: 10.1097/jsm.0000000000001074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Accepted: 01/03/2022] [Indexed: 02/04/2023]
Abstract
OBJECTIVE Recombinant human erythropoietin (rHuEpo) is prohibited by the World Anti-Doping Agency but remains the drug of choice for many cheating athletes wishing to evade detection using current methods. The aim of this study was to identify a robust metabolomics signature of rHuEpo using an untargeted approach in blood (plasma and serum) and urine. DESIGN Longitudinal study. SETTING University of Glasgow. PARTICIPANTS Eighteen male participants regularly engaged in predominantly endurance-based activities, such as running, cycling, swimming, triathlon, and team sports, were recruited. INTERVENTIONS Each participant received 50 IU·kg -1 body mass of rHuEpo subcutaneously every 2 days for 4 weeks. Samples were collected at baseline, during rHuEpo administration (over 4 weeks) and after rHuEpo administration (week 7-10). The samples were analyzed using hydrophilic interaction liquid chromatography mass spectrometry. MAIN OUTCOME MEASURES Significant metabolic signatures of rHuEpo administration were identified in all biofluids tested in this study. RESULTS Regarding metabolomics data, 488 plasma metabolites, 694 serum metabolites, and 1628 urinary metabolites were identified. Reproducible signatures of rHuEpo administration across all biofluids included alterations of pyrimidine metabolism (orotate and dihydroorotate) and acyl-carnitines (palmitoyl-carnitine and elaidic carnitine), metabolic pathways that are associated with erythropoiesis or erythrocyte membrane function, respectively. CONCLUSIONS Preliminary metabolic signatures of rHuEpo administration were identified. Future studies will be required to validate these encouraging results in independent cohorts and with orthogonal techniques, such as integration of our data with signatures derived from other "omics" analyses of rHuEpo administration (eg, transcriptomics).
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Affiliation(s)
- Giscard Lima
- School of Sport and Health Sciences, University of Brighton, Brighton, United Kingdom
- University of Rome "Foro Italico," Rome, Italy
| | - Jonathan Shurlock
- School of Sport and Health Sciences, University of Brighton, Brighton, United Kingdom
| | - Guan Wang
- Sport and Exercise Science and Sports Medicine Research and Enterprise Group, University of Brighton, Brighton, United Kingdom
| | - Antonia Karanikolou
- School of Sport and Health Sciences, University of Brighton, Brighton, United Kingdom
| | - Shaun Sutehall
- Division of Physiological Sciences, Department of Human Biology, University of Cape Town, Cape Town, South Africa
| | - Yannis P Pitsiladis
- School of Sport and Health Sciences, University of Brighton, Brighton, United Kingdom
- Centre for Exercise Sciences and Sports Medicine, FIMS Collaborating Centre of Sports Medicine, Rome, Italy
- European Federation of Sports Medicine Associations (EFSMA), Lausanne, Switzerland
- International Federation of Sports Medicine (FIMS), Lausanne, Switzerland; and
| | - Angelo D'Alessandro
- Department of Biochemistry and Molecular Genetics, University of Colorado Denver-Anschutz Medical Campus, Aurora, Colorado
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3
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Lima G, Kolliari-Turner A, Wang G, Ho P, Meehan L, Roeszler K, Seto J, Malinsky FR, Karanikolou A, Eichhorn G, Tanisawa K, Ospina-Betancurt J, Hamilton B, Kumi PYO, Shurlock J, Skiadas V, Twycross-Lewis R, Kilduff L, Guppy FM, North K, Pitsiladis Y, Fossati C, Pigozzi F, Borrione P. The MMAAS Project: An Observational Human Study Investigating the Effect of Anabolic Androgenic Steroid Use on Gene Expression and the Molecular Mechanism of Muscle Memory. Clin J Sport Med 2023; 33:e115-e122. [PMID: 35533133 DOI: 10.1097/jsm.0000000000001037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2021] [Accepted: 03/20/2022] [Indexed: 02/02/2023]
Abstract
OBJECTIVE It remains unknown whether myonuclei remain elevated post anabolic-androgenic steroid (AAS) usage in humans. Limited data exist on AAS-induced changes in gene expression. DESIGN Cross-sectional/longitudinal. SETTING University. PARTICIPANTS Fifty-six men aged 20 to 42 years. INDEPENDENT VARIABLES Non-resistance-trained (C) or resistance-trained (RT), RT currently using AAS (RT-AS), of which if AAS usage ceased for ≥18 weeks resampled as Returning Participants (RP) or RT previously using AAS (PREV). MAIN OUTCOME MEASURES Myonuclei per fiber and cross-sectional area (CSA) of trapezius muscle fibers. RESULTS There were no significant differences between C (n = 5), RT (n = 15), RT-AS (n = 17), and PREV (n = 6) for myonuclei per fiber. Three of 5 returning participants (RP1-3) were biopsied twice. Before visit 1, RP1 ceased AAS usage 34 weeks before, RP2 and RP3 ceased AAS usage ≤2 weeks before, and all had 28 weeks between visits. Fiber CSA decreased for RP1 and RP2 between visits (7566 vs 6629 μm 2 ; 7854 vs 5677 μm 2 ) while myonuclei per fiber remained similar (3.5 vs 3.4; 2.5 vs 2.6). Respectively, these values increased for RP3 between visits (7167 vs 7889 μm 2 ; 2.6 vs 3.3). CONCLUSIONS This cohort of past AAS users did not have elevated myonuclei per fiber values, unlike previous research, but reported AAS usage was much lower. Training and AAS usage history also varied widely among participants. Comparable myonuclei per fiber numbers despite decrements in fiber CSA postexposure adheres with the muscle memory mechanism, but there is variation in usage relative to sampling date and low numbers of returning participants.
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Affiliation(s)
- Giscard Lima
- School of Sport and Health Sciences, University of Brighton, Eastbourne, United Kingdom
- Department of Movement, Human and Health Sciences, University of Rome "Foro Italico," Rome, Italy
| | | | - Guan Wang
- School of Sport and Health Sciences, University of Brighton, Eastbourne, United Kingdom
| | - Patrick Ho
- Murdoch Children's Research Institute, Department of Paediatrics, University of Melbourne, Australia
| | - Lyra Meehan
- Murdoch Children's Research Institute, Department of Paediatrics, University of Melbourne, Australia
| | - Kelly Roeszler
- Murdoch Children's Research Institute, Department of Paediatrics, University of Melbourne, Australia
| | - Jane Seto
- Murdoch Children's Research Institute, Department of Paediatrics, University of Melbourne, Australia
| | | | - Antonia Karanikolou
- School of Sport and Health Sciences, University of Brighton, Eastbourne, United Kingdom
| | - Gregor Eichhorn
- School of Sport and Health Sciences, University of Brighton, Eastbourne, United Kingdom
- Environmental Extremes Laboratory, University of Brighton, Eastbourne, United Kingdom
| | - Kumpei Tanisawa
- Faculty of Sport Sciences, Waseda University, Tokorozawa, Japan
| | | | - Blair Hamilton
- School of Sport and Health Sciences, University of Brighton, Eastbourne, United Kingdom
- School of Applied Sciences, University of Brighton, Brighton, United Kingdom
- Centre for Stress and Age-related Disease, University of Brighton, Brighton, United Kingdom
- The Gender Identity Clinic Tavistock and Portman NHS Foundation Trust, London, United Kingdom
| | - Paulette Y O Kumi
- Centre for Sports and Exercise Medicine, William Harvey Research Institute, Queen Mary University of London, United Kingdom
| | | | - Vasileios Skiadas
- University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Richard Twycross-Lewis
- School of Engineering and Materials Science, Queen Mary University of London, London, United Kingdom
- University College of Football Business (UCFB Wembley Campus), Wembley, London, United Kingdom ; and
| | - Liam Kilduff
- Applied Sports, Technology, Exercise, and Medicine Research Centre (A-STEM), College of Engineering, Swansea University, Swansea, Wales
| | - Fergus M Guppy
- School of Sport and Health Sciences, University of Brighton, Eastbourne, United Kingdom
- School of Applied Sciences, University of Brighton, Brighton, United Kingdom
- Centre for Stress and Age-related Disease, University of Brighton, Brighton, United Kingdom
| | - Kathryn North
- Murdoch Children's Research Institute, Department of Paediatrics, University of Melbourne, Australia
| | - Yannis Pitsiladis
- School of Sport and Health Sciences, University of Brighton, Eastbourne, United Kingdom
- Department of Movement, Human and Health Sciences, University of Rome "Foro Italico," Rome, Italy
| | - Chiara Fossati
- Department of Movement, Human and Health Sciences, University of Rome "Foro Italico," Rome, Italy
| | - Fabio Pigozzi
- Department of Movement, Human and Health Sciences, University of Rome "Foro Italico," Rome, Italy
| | - Paolo Borrione
- Department of Movement, Human and Health Sciences, University of Rome "Foro Italico," Rome, Italy
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Processes in Doping System: Quantification Reports in Mixed Martial Arts Fighters. Processes (Basel) 2022. [DOI: 10.3390/pr10122734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Mixed martial arts (MMA) has always been surrounded by controversy due to the unusual muscle development of its participants, so it is crucial to know the strategies that have been implemented to reduce doping cases. The main purpose of this paper is to describe the various cases of doping detected by USADA in UFC MMA participants. In addition, strategies that are being developed to reduce cases of positive doping are proposed. From the UFC USADA database, doping cases were extracted, obtaining the substance or substances involved; the formula, physiological effect and the athletes involved; the dates of the sampling; if it was out of competition or in-competition and the sanction time. The substances that were most involved were found to be Ostarine (22), Clomiphene (9), Diuretics (10) and Stanozolol (9). Some sanctions were diminished because they were treated with contamination of supplements (cases of Ostarine) and cases of contamination of meat (Clomiphene). When contaminated supplements were reported, they were added to the list of high-risk supplements maintained as part of USADA’s online dietary supplement safety education and awareness resource—Supplement 411. There were also cases in which positive doping could be avoided through the early report of therapeutic use exemptions. The methodology that the USADA has implemented allows us to register the athletes with positive doping, check the risk of the supplements before being bought and provide a teaching portal. These efforts are necessary to implement in all countries in which MMA is practiced, avoiding the participation of doped martial artists.
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5
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Lima G, Kolliari-Turner A, Malinsky FR, Guppy FM, Martin RP, Wang G, Voss SC, Georgakopoulos C, Borrione P, Pigozzi F, Pitsiladis Y. Integrating Whole Blood Transcriptomic Collection Procedures Into the Current Anti-Doping Testing System, Including Long-Term Storage and Re-Testing of Anti-Doping Samples. Front Mol Biosci 2021; 8:728273. [PMID: 34765642 PMCID: PMC8576497 DOI: 10.3389/fmolb.2021.728273] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 08/31/2021] [Indexed: 11/13/2022] Open
Abstract
Introduction: Recombinant human erythropoietin (rHuEPO) administration studies involving transcriptomic approaches have demonstrated a gene expression signature that could aid blood doping detection. However, current anti-doping testing does not involve collecting whole blood into tubes with RNA preservative. This study investigated if whole blood in long-term storage and whole blood left over from standard hematological testing in short-term storage could be used for transcriptomic analysis despite lacking RNA preservation. Methods: Whole blood samples were collected from twelve and fourteen healthy nonathletic males, for long-term and short-term storage experiments. Long-term storage involved whole blood collected into Tempus™ tubes and K2EDTA tubes and subjected to long-term (i.e., ‒80°C) storage and RNA extracted. Short-term storage involved whole blood collected into K2EDTA tubes and stored at 4°C for 6‒48 h and then incubated at room temperature for 1 and 2 h prior to addition of RNA preservative. RNA quantity, purity, and integrity were analyzed in addition to RNA-Seq using the MGI DNBSEQ-G400 on RNA from both the short- and long-term storage studies. Genes presenting a fold change (FC) of >1.1 or < ‒1.1 with p ≤ 0.05 for each comparison were considered differentially expressed. Microarray analysis using the Affymetrix GeneChip® Human Transcriptome 2.0 Array was additionally conducted on RNA from the short-term study with a false discovery ratio (FDR) of ≤0.05 and an FC of >1.1 or < ‒1.1 applied to identify differentially expressed genes. Results: RNA quantity, purity, and integrity from whole blood subjected to short- and long-term storage were sufficient for gene expression analysis. Long-term storage: when comparing blood tubes with and without RNA preservation 4,058 transcripts (6% of coding and non-coding transcripts) were differentially expressed using microarray and 658 genes (3.4% of mapped genes) were differentially expressed using RNA-Seq. Short-term storage: mean RNA integrity and yield were not significantly different at any of the time points. RNA-Seq analysis revealed a very small number of differentially expressed genes (70 or 1.37% of mapped genes) when comparing samples stored between 6 and 48 h without RNA preservative. None of the genes previously identified in rHuEPO administration studies were differently expressed in either long- or short-term storage experiments. Conclusion: RNA quantity, purity, and integrity were not significantly compromised from short- or long-term storage in blood storage tubes lacking RNA stabilization, indicating that transcriptomic analysis could be conducted using anti-doping samples collected or biobanked without RNA preservation.
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Affiliation(s)
- Giscard Lima
- Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy.,School of Sport and Health Sciences, University of Brighton, Eastbourne, United Kingdom.,Centre for Stress and Age Related Disease, University of Brighton, Brighton, United Kingdom
| | - Alexander Kolliari-Turner
- School of Sport and Health Sciences, University of Brighton, Eastbourne, United Kingdom.,Centre for Stress and Age Related Disease, University of Brighton, Brighton, United Kingdom
| | | | - Fergus M Guppy
- Centre for Stress and Age Related Disease, University of Brighton, Brighton, United Kingdom.,School of Applied Sciences, University of Brighton, Brighton, United Kingdom
| | - Renan Paulo Martin
- Department of Biophysics, Federal University of Sao Paulo, Sao Paulo, Brazil.,McKusick-Nathans Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Guan Wang
- School of Sport and Health Sciences, University of Brighton, Eastbourne, United Kingdom.,Sport and Exercise Science and Sports Medicine Research and Enterprise Group, University of Brighton, Brighton, United Kingdom
| | | | | | - Paolo Borrione
- Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy.,NADO Italia, National Antidoping Organization, Rome, Italy
| | - Fabio Pigozzi
- Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy.,NADO Italia, National Antidoping Organization, Rome, Italy.,International Federation of Sports Medicine (FIMS), Lausanne, Switzerland
| | - Yannis Pitsiladis
- Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy.,Centre for Stress and Age Related Disease, University of Brighton, Brighton, United Kingdom.,International Federation of Sports Medicine (FIMS), Lausanne, Switzerland
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6
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Paris A, Labrador B, Lejeune FX, Canlet C, Molina J, Guinot M, Mégret A, Rieu M, Thalabard JC, Le Bouc Y. Metabolomic signatures in elite cyclists: differential characterization of a seeming normal endocrine status regarding three serum hormones. Metabolomics 2021; 17:67. [PMID: 34228178 DOI: 10.1007/s11306-021-01812-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Accepted: 06/10/2021] [Indexed: 01/04/2023]
Abstract
INTRODUCTION Serum phenotyping of elite cyclists regarding cortisol, IGF1 and testosterone is a way to detect endocrine disruptions possibly explained by exercise overload, non-balanced diet or by doping. This latter disruption-driven approach is supported by fundamental physiology although without any evidence of any metabolic markers. OBJECTIVES Serum samples were distributed through Low, High or Normal endocrine classes according to hormone concentration. A 1H NMR metabolomic study of 655 serum obtained in the context of the longitudinal medical follow-up of 253 subjects was performed to discriminate the three classes for every endocrine phenotype. METHODS An original processing algorithm was built which combined a partial-least squares-based orthogonal correction of metabolomic signals and a shrinkage discriminant analysis (SDA) to get satisfying classifications. An extended validation procedure was used to plan in larger size cohorts a minimal size to get a global prediction rate (GPR), i.e. the product of the three class prediction rates, higher than 99.9%. RESULTS Considering the 200 most SDA-informative variables, a sigmoidal fitting of the GPR gave estimates of a minimal sample size to 929, 2346 and 1408 for cortisol, IGF1 and testosterone, respectively. Analysis of outliers from cortisol and testosterone Normal classes outside the 97.5%-confidence limit of score prediction revealed possibly (i) an inadequate protein intake for outliers or (ii) an intake of dietary ergogenics, glycine or glutamine, which might explain the significant presence of heterogeneous metabolic profiles in a supposedly normal cyclists subgroup. CONCLUSION In a next validation metabolomics study of a so-sized cohort, anthropological, clinical and dietary metadata should be recorded in priority at the blood collection time to confirm these functional hypotheses.
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Affiliation(s)
- Alain Paris
- Unité Molécules de Communication et Adaptation des Microorganismes (MCAM), Muséum national d'Histoire naturelle, CNRS, Paris, France.
| | - Boris Labrador
- Institut du Cerveau et de la Moelle épiniere (ICM), Sorbonne Université, Inserm U 1127, CNRS UMR 7225, Hôpital Pitié Salpêtrière, Paris, France
| | - François-Xavier Lejeune
- Institut du Cerveau et de la Moelle épiniere (ICM), Sorbonne Université, Inserm U 1127, CNRS UMR 7225, Hôpital Pitié Salpêtrière, Paris, France
| | - Cécile Canlet
- Axiom, Toxalim, INRAE, ENVT, INPT-EI Purpan, Université Paul Sabatier, Toulouse, France
| | - Jérôme Molina
- Axiom, Toxalim, INRAE, ENVT, INPT-EI Purpan, Université Paul Sabatier, Toulouse, France
- Dynamiques et écologie des paysages agriforestiers (DYNAFOR), INRAE, INPT-ENSAT, INPT-EI Purpan, Auzeville, Castanet-Tolosan Cedex, France
| | - Michel Guinot
- CHU Grenoble-Alpes, UM Sports et Pathologies, Grenoble, France
- Hypoxia and Pathophysiology Unit, INSERM U 1042, Université Grenoble-Alpes, Grenoble, France
- UM Sports et Pathologies, CHU Sud, Echirolles, France
| | - Armand Mégret
- Fédération française de Cyclisme, 1 rue Laurent Fignon, Montigny le Bretonneux, France
| | - Michel Rieu
- Agence Française de Lutte contre le Dopage (AFLD), Paris, France
| | | | - Yves Le Bouc
- Sorbonne Université, INSERM, UMR S 938, Centre de Recherche Saint-Antoine (CRSA), Paris, France
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7
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Ohnuma K, Uchida T, Leung GNW, Ueda T, Obara T, Ishii H. Establishment of a post-race biomarkers database and application of pathway analysis to identify potential biomarkers in post-race equine plasma. Drug Test Anal 2021; 14:915-928. [PMID: 33835667 DOI: 10.1002/dta.3041] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 03/30/2021] [Accepted: 04/02/2021] [Indexed: 12/30/2022]
Abstract
In the context of doping control, conventional direct chemical testing detects only a limited scope of target substances in equine biological samples. To expand the ability to detect doping agents and their detection windows, metabolomics has recently become a common approach for monitoring alteration of biomarkers caused by doping agents in relevant metabolic pathways. In horse racing, remarkable changes in metabolic profiles between the rest state and racing are likely to affect the identification of doping biomarkers. Previously, we reported a limited number of significantly upregulated metabolites after racing, based on a non-targeted metabolomics approach using out-of-competition and post-race equine plasma samples. In this study, we performed a more thorough analysis of the data set, using pathway analysis to establish a post-race biomarkers database (PBD) that includes upregulated and downregulated metabolites, their fold changes, and relevant pathways, with the main objective of improving our understanding of changes in physiological status related to horse racing. Statistical analysis of the PBD revealed that two peak combinations of pentadecanoyl carnitine/galactosylglycerol (P/G) and heptadecanoyl carnitine/galactosylglycerol (H/G) could be used as potential biomarkers for the discrimination of the rest and post-race groups. To demonstrate the applicability of the PBD, we validated the post-race biomarkers P/G and H/G (highly involved in lipid metabolism) by a single-blind test. This strategy, which combines establishment of a biomarker database with pathway analysis, represents a powerful tool for discovering potential doping biomarkers in the future.
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Affiliation(s)
- Kohei Ohnuma
- Drug Analysis Department, Laboratory of Racing Chemistry, Utsunomiya, Japan
| | - Taiga Uchida
- Drug Analysis Department, Laboratory of Racing Chemistry, Utsunomiya, Japan
| | - Gary Ngai-Wa Leung
- Drug Analysis Department, Laboratory of Racing Chemistry, Utsunomiya, Japan
| | - Toshiki Ueda
- Drug Analysis Department, Laboratory of Racing Chemistry, Utsunomiya, Japan.,Bioinformatics Team, Research Laboratory, H. U. Group Research Institute G.K., Hachioji, Japan
| | - Taku Obara
- Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan
| | - Hideaki Ishii
- Drug Analysis Department, Laboratory of Racing Chemistry, Utsunomiya, Japan.,Department of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Japan
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8
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Tebani A, Gummesson A, Zhong W, Koistinen IS, Lakshmikanth T, Olsson LM, Boulund F, Neiman M, Stenlund H, Hellström C, Karlsson MJ, Arif M, Dodig-Crnković T, Mardinoglu A, Lee S, Zhang C, Chen Y, Olin A, Mikes J, Danielsson H, von Feilitzen K, Jansson PA, Angerås O, Huss M, Kjellqvist S, Odeberg J, Edfors F, Tremaroli V, Forsström B, Schwenk JM, Nilsson P, Moritz T, Bäckhed F, Engstrand L, Brodin P, Bergström G, Uhlen M, Fagerberg L. Integration of molecular profiles in a longitudinal wellness profiling cohort. Nat Commun 2020; 11:4487. [PMID: 32900998 PMCID: PMC7479148 DOI: 10.1038/s41467-020-18148-7] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Accepted: 08/03/2020] [Indexed: 12/19/2022] Open
Abstract
An important aspect of precision medicine is to probe the stability in molecular profiles among healthy individuals over time. Here, we sample a longitudinal wellness cohort with 100 healthy individuals and analyze blood molecular profiles including proteomics, transcriptomics, lipidomics, metabolomics, autoantibodies and immune cell profiling, complemented with gut microbiota composition and routine clinical chemistry. Overall, our results show high variation between individuals across different molecular readouts, while the intra-individual baseline variation is low. The analyses show that each individual has a unique and stable plasma protein profile throughout the study period and that many individuals also show distinct profiles with regards to the other omics datasets, with strong underlying connections between the blood proteome and the clinical chemistry parameters. In conclusion, the results support an individual-based definition of health and show that comprehensive omics profiling in a longitudinal manner is a path forward for precision medicine. An important aspect of precision medicine is to probe the stability in molecular profiles among healthy individuals over time. Here, the authors sample a longitudinal wellness cohort and analyse blood molecular profiles as well as gut microbiota composition.
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Affiliation(s)
- Abdellah Tebani
- Science for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Anders Gummesson
- Wallenberg Laboratory and Sahlgrenska Center for Cardiovascular and Metabolic Research, Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden.,Region Västra Götaland, Sahlgrenska University Hospital, Department of Clinical Genetics and Genomics, Gothenburg, Sweden
| | - Wen Zhong
- Science for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Ina Schuppe Koistinen
- Science for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden.,Center for Translational Microbiome Research, Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
| | - Tadepally Lakshmikanth
- Science for Life Laboratory, Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
| | - Lisa M Olsson
- Wallenberg Laboratory and Sahlgrenska Center for Cardiovascular and Metabolic Research, Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Fredrik Boulund
- Center for Translational Microbiome Research, Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
| | - Maja Neiman
- Science for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Hans Stenlund
- Swedish Metabolomics Centre, Department of Molecular Biology, Umeå University, 901 87, Umeå, Sweden
| | - Cecilia Hellström
- Science for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Max J Karlsson
- Science for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Muhammad Arif
- Science for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Tea Dodig-Crnković
- Science for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Adil Mardinoglu
- Science for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden.,Centre for Host-Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, UK
| | - Sunjae Lee
- Science for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Cheng Zhang
- Science for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Yang Chen
- Science for Life Laboratory, Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
| | - Axel Olin
- Science for Life Laboratory, Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
| | - Jaromir Mikes
- Science for Life Laboratory, Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
| | - Hanna Danielsson
- Center for Translational Microbiome Research, Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
| | - Kalle von Feilitzen
- Science for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Per-Anders Jansson
- Wallenberg Laboratory and Sahlgrenska Center for Cardiovascular and Metabolic Research, Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden.,Region Västra Götaland, Sahlgrenska University Hospital, Department of Internal Medicine, Gothenburg, Sweden
| | - Oskar Angerås
- Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden.,Region Västra Götaland, Sahlgrenska University Hospital, Department of Cardiology, Gothenburg, Sweden
| | - Mikael Huss
- Codon Consulting, 118 26, Stockholm, Sweden.,Department of Learning, Informatics, Management and Ethics, Karolinska Institutet, Stockholm, Sweden
| | - Sanela Kjellqvist
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Jacob Odeberg
- Science for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Fredrik Edfors
- Science for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Valentina Tremaroli
- Wallenberg Laboratory and Sahlgrenska Center for Cardiovascular and Metabolic Research, Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Björn Forsström
- Science for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Jochen M Schwenk
- Science for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Peter Nilsson
- Science for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Thomas Moritz
- Swedish Metabolomics Centre, Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences, 907 36, Umeå, Sweden
| | - Fredrik Bäckhed
- Wallenberg Laboratory and Sahlgrenska Center for Cardiovascular and Metabolic Research, Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden.,Region Västra Götaland, Sahlgrenska University Hospital, Department of Clinical Physiology, Gothenburg, Sweden.,Novo Nordisk Foundation Center for Basic Metabolic Research, Section for Metabolic Receptology and Enteroendocrinology, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Lars Engstrand
- Center for Translational Microbiome Research, Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
| | - Petter Brodin
- Science for Life Laboratory, Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
| | - Göran Bergström
- Wallenberg Laboratory and Sahlgrenska Center for Cardiovascular and Metabolic Research, Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden.,Region Västra Götaland, Sahlgrenska University Hospital, Department of Clinical Physiology, Gothenburg, Sweden
| | - Mathias Uhlen
- Science for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden.,Center for Biosustainability, Danish Technical University, Copenhagen, Denmark
| | - Linn Fagerberg
- Science for Life Laboratory, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden.
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9
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Haberberger A, Kirchner B, Riedmaier I, Henschler R, Wichmann C, Buhmann R, Pfaffl MW. Changes in the microRNA expression profile during blood storage. BMJ Open Sport Exerc Med 2018; 4:e000354. [PMID: 30018790 PMCID: PMC6045755 DOI: 10.1136/bmjsem-2018-000354] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/27/2018] [Indexed: 11/04/2022] Open
Abstract
Objectives For several decades, autologous blood doping (ABD) in sports has been a major problem, and even today there is still no reliable method for satisfactorily detecting ABD. For this kind of doping, stored individual erythrocytes are used to increase stamina and endurance caused by a higher erythrocyte level in the athlete's body. Since there is growing evidence that these cells are enriched with microRNAs (miRNAs), this study has been carried out to discover and validate all miRNAs occurring in fresh blood as well as in stored blood. Methods Therefore, small RNA Next Generation Sequencing has been performed, which allows untargeted detection of all miRNAs in a blood sample. The focus of this investigation has been to find miRNA alterations in blood bags after erythrocyte processing and during storage, as compared with fresh blood directly withdrawn from subjects. Blood samples were obtained from 12 healthy, recreationally active male subjects three times before blood donation and from blood bags at several time points after blood processing. Results 189 miRNAs have been considered stable over two consecutive weeks. A further analysis revealed a complex biomarker signature of 28 miRNAs, consisting of 6 miRNAs that altered during 6 weeks of storage and 22 miRNAs that altered due to processing. Conclusion These results suggest that the identified miRNA biomarker signature may be used for the detection of ABD. These 28 miRNA candidates are tested and verified currently in a follow-up study, a human transfusion clinical trial in healthy sportsmen.
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Affiliation(s)
- Anna Haberberger
- Institute of Animal Physiology and Immunology, Technical University of Munich, Freising, Germany
| | - Benedikt Kirchner
- Institute of Animal Physiology and Immunology, Technical University of Munich, Freising, Germany
| | - Irmgard Riedmaier
- Institute of Animal Physiology and Immunology, Technical University of Munich, Freising, Germany.,Eurofins Medigenomix Forensik GmbH, Ebersberg, Germany
| | - Reinhard Henschler
- Department of Transfusion Medicine, Cell Therapeutics and Hemostaseology, Ludwig-Maximilians-University Hospital, Munich, Germany.,Blutspende Zürich, Medizinischer Dienst, Zurich, Switzerland
| | - Christian Wichmann
- Department of Transfusion Medicine, Cell Therapeutics and Hemostaseology, Ludwig-Maximilians-University Hospital, Munich, Germany
| | - Raymund Buhmann
- Department of Transfusion Medicine, Cell Therapeutics and Hemostaseology, Ludwig-Maximilians-University Hospital, Munich, Germany
| | - Michael W Pfaffl
- Institute of Animal Physiology and Immunology, Technical University of Munich, Freising, Germany
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10
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Wang G, Durussel J, Shurlock J, Mooses M, Fuku N, Bruinvels G, Pedlar C, Burden R, Murray A, Yee B, Keenan A, McClure JD, Sottas PE, Pitsiladis YP. Validation of whole-blood transcriptome signature during microdose recombinant human erythropoietin (rHuEpo) administration. BMC Genomics 2017; 18:817. [PMID: 29143667 PMCID: PMC5688496 DOI: 10.1186/s12864-017-4191-7] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Recombinant human erythropoietin (rHuEpo) can improve human performance and is therefore frequently abused by athletes. As a result, the World Anti-Doping Agency (WADA) introduced the Athlete Biological Passport (ABP) as an indirect method to detect blood doping. Despite this progress, challenges remain to detect blood manipulations such as the use of microdoses of rHuEpo. METHODS Forty-five whole-blood transcriptional markers of rHuEpo previously derived from a high-dose rHuEpo administration trial were used to assess whether microdoses of rHuEpo could be detected in 14 trained subjects and whether these markers may be confounded by exercise (n = 14 trained subjects) and altitude training (n = 21 elite runners and n = 4 elite rowers, respectively). Differential gene expression analysis was carried out following normalisation and significance declared following application of a 5% false discovery rate (FDR) and a 1.5 fold-change. Adaptive model analysis was also applied to incorporate these markers for the detection of rHuEpo. RESULTS ALAS2, BCL2L1, DCAF12, EPB42, GMPR, SELENBP1, SLC4A1, TMOD1 and TRIM58 were differentially expressed during and throughout the post phase of microdose rHuEpo administration. The CD247 and TRIM58 genes were significantly up- and down-regulated, respectively, immediately following exercise when compared with the baseline both before and after rHuEpo/placebo. No significant gene expression changes were found 30 min after exercise in either rHuEpo or placebo groups. ALAS2, BCL2L1, DCAF12, SLC4A1, TMOD1 and TRIM58 tended to be significantly expressed in the elite runners ten days after arriving at altitude and one week after returning from altitude (FDR > 0.059, fold-change varying from 1.39 to 1.63). Following application of the adaptive model, 15 genes showed a high sensitivity (≥ 93%) and specificity (≥ 71%), with BCL2L1 and CSDA having the highest sensitivity (93%) and specificity (93%). CONCLUSIONS Current results provide further evidence that transcriptional biomarkers can strengthen the ABP approach by significantly prolonging the detection window and improving the sensitivity and specificity of blood doping detection. Further studies are required to confirm, and if necessary, integrate the confounding effects of altitude training on blood doping.
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Affiliation(s)
- Guan Wang
- Centre of Sports Medicine for Anti-Doping Research, University of Brighton, Eastbourne, UK.,Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy
| | - Jérôme Durussel
- Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | | | - Martin Mooses
- Faculty of Medicine, University of Tartu, Tartu, Estonia
| | - Noriyuki Fuku
- Graduate School of Health and Sports Science, Juntendo University, Chiba, Japan
| | - Georgie Bruinvels
- School of Sport, Health and Applied Science, St Mary's University, Twickenham, London, UK
| | - Charles Pedlar
- School of Sport, Health and Applied Science, St Mary's University, Twickenham, London, UK
| | - Richard Burden
- School of Sport, Health and Applied Science, St Mary's University, Twickenham, London, UK
| | - Andrew Murray
- Centre for Sports and Exercise, University of Edinburgh, Edinburgh, UK
| | | | - Anne Keenan
- Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - John D McClure
- Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | | | - Yannis P Pitsiladis
- Centre of Sports Medicine for Anti-Doping Research, University of Brighton, Eastbourne, UK. .,Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy.
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11
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Rjiba-Touati K, Amara I, Bousabbeh M, Salem IB, Azzebi A, Guedri Y, Achour A, Bacha H, Abid S. Recombinant human erythropoietin prevents etoposide- and methotrexate-induced toxicity in kidney and liver tissues via the regulation of oxidative damage and genotoxicity in Wistar rats. Hum Exp Toxicol 2017; 37:848-858. [PMID: 29069929 DOI: 10.1177/0960327117733553] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Etoposide (ETO) and methotrexate (MTX) are two effective chemotherapeutic drugs. However, the clinical use of these drugs is limited by its toxicity in normal tissues, especially in kidney and in liver tissues. Recombinant human erythropoietin (rhEPO), erythropoietin hormone, has also been shown to exert tissue protective effects. The purpose of this study was to explore the protective effect of rhEPO against oxidative stress and genotoxicity induced by ETO and MTX in vivo. Adult male Wistar rats were divided into 10 groups (6 animals each): control group, rhEPO alone group, ETO alone group, MTX alone group and rhEPO + ETO/MTX groups. In rhEPO + ETO/MTX groups, three doses of pretreatment with rhEPO were performed: 1000, 3000 and 6000 IU/kg. Our results showed that rhEPO pretreatment protects liver and kidney tissues against oxidative stress induced by the anticancer drugs. The glycoprotein decreased malondialdehyde (MDA) levels, reduced catalase activity and ameliorated glutathione depletion. Furthermore, we showed that rhEPO administration prevented drug-induced DNA damage accessed by comet test. Altogether, our results suggested a protective role of rhEPO, especially at 3000 IU/kg, against ETO- and MTX-induced oxidative stress and genotoxicity in vivo.
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Affiliation(s)
- K Rjiba-Touati
- 1 Laboratory of Research on Biologically Compatible Compounds, Faculty of Dentistry, Monastir University, Monastir, Tunisia
| | - I Amara
- 1 Laboratory of Research on Biologically Compatible Compounds, Faculty of Dentistry, Monastir University, Monastir, Tunisia
| | - M Bousabbeh
- 1 Laboratory of Research on Biologically Compatible Compounds, Faculty of Dentistry, Monastir University, Monastir, Tunisia
| | - I Ben Salem
- 1 Laboratory of Research on Biologically Compatible Compounds, Faculty of Dentistry, Monastir University, Monastir, Tunisia
| | - A Azzebi
- 2 Department of Nephrology, Dialysis and Transplant, University Hospital of Sahloul, Sousse, Tunisia
| | - Y Guedri
- 2 Department of Nephrology, Dialysis and Transplant, University Hospital of Sahloul, Sousse, Tunisia
| | - A Achour
- 2 Department of Nephrology, Dialysis and Transplant, University Hospital of Sahloul, Sousse, Tunisia
| | - H Bacha
- 1 Laboratory of Research on Biologically Compatible Compounds, Faculty of Dentistry, Monastir University, Monastir, Tunisia
| | - S Abid
- 1 Laboratory of Research on Biologically Compatible Compounds, Faculty of Dentistry, Monastir University, Monastir, Tunisia
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12
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Bianchi S, Fusi J, Franzoni F, Giovannini L, Galetta F, Mannari C, Guidotti E, Tocchini L, Santoro G. "Effects of recombinant human erythropoietin high mimicking abuse doses on oxidative stress processes in rats". Biomed Pharmacother 2016; 82:355-63. [PMID: 27470373 DOI: 10.1016/j.biopha.2016.05.022] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2016] [Revised: 05/12/2016] [Accepted: 05/13/2016] [Indexed: 12/21/2022] Open
Abstract
Although many studies highlight how long-term moderate dose of Recombinant Human Erythropoietin (rHuEPO) treatments result in beneficial and antioxidants effects, few studies take into account the effects that short-term high doses of rHuEPO (mimicking abuse conditions) might have on the oxidative stress processes. Thus, the aim of this study was to investigate the in vivo antioxidant activity of rHuEPO, administered for a short time and at high doses to mimic its sports abuse as doping. Male Wistar healthy rats (n=36) were recruited for the study and were treated with three different concentrations of rHuEPO: 7.5, 15, 30μg/kg. Plasma concentrations of erythropoietin, 8-epi Prostaglandin F2α, plasma and urinary concentrations of NOx were evaluated with specific assay kit, while hematocrit levels were analyzed with an automated cell counter. Antioxidant activity of rHuEPO was assessed analyzing the possible variation of the plasma scavenger capacity against hydroxylic and peroxylic radicals by TOSC (Total Oxyradical Scavenging Capacity) assay. Statistical analyses showed higher hematocrit values, confirmed by a statistically significant increase of plasmatic EPO concentration. An increase in plasma scavenging capacity against peroxyl and hydroxyl radicals, in 8-isoprostane plasmatic concentrations and in plasmatic and urinary levels of NOX were also found in all the treated animals, though not always statistically significant. Our results confirm the literature data regarding the antioxidant action of erythropoietin administered at low doses and for short times, whereas they showed an opposite incremental oxidative stress action when erythropoietin is administered at high doses.
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Affiliation(s)
- Sara Bianchi
- Department of Translational Research and New Technologies in Medicine and Surgery, Pharmacology, Medical School, University of Pisa, Via Roma 55, 56126, Pisa, Italy.
| | - Jonathan Fusi
- Department of Clinical and Experimental Medicine, University of Pisa, Via Savi 10, 56126, Pisa, Italy
| | - Ferdinando Franzoni
- Department of Clinical and Experimental Medicine, University of Pisa, Via Savi 10, 56126, Pisa, Italy
| | - Luca Giovannini
- Department of Translational Research and New Technologies in Medicine and Surgery, Pharmacology, Medical School, University of Pisa, Via Roma 55, 56126, Pisa, Italy
| | - Fabio Galetta
- Department of Clinical and Experimental Medicine, University of Pisa, Via Savi 10, 56126, Pisa, Italy
| | - Claudio Mannari
- Department of Translational Research and New Technologies in Medicine and Surgery, Pharmacology, Medical School, University of Pisa, Via Roma 55, 56126, Pisa, Italy
| | - Emanuele Guidotti
- Department of Clinical and Experimental Medicine, University of Pisa, Via Savi 10, 56126, Pisa, Italy
| | - Leonardo Tocchini
- Department of Clinical and Experimental Medicine, University of Pisa, Via Savi 10, 56126, Pisa, Italy
| | - Gino Santoro
- Department of Clinical and Experimental Medicine, University of Pisa, Via Savi 10, 56126, Pisa, Italy
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13
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Mountjoy M, Rhind DJA, Tiivas A, Leglise M. Safeguarding the child athlete in sport: a review, a framework and recommendations for the IOC youth athlete development model. Br J Sports Med 2016; 49:883-6. [PMID: 26084527 PMCID: PMC4484277 DOI: 10.1136/bjsports-2015-094619] [Citation(s) in RCA: 70] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Participation in sport has many physical, psychological and social benefits for the child athlete. A growing body of evidence indicates, however, that sport participation may have inherent threats for the child’s well-being. The subject of safeguarding children in sport has seen an increase in scientific study in recent years. In particular, there is increasing emphasis on identifying who is involved in abuse, the context of where it occurs and the identification of the various forms of abuse that take place in the sporting domain. Safeguarding principles developed by the International Safeguarding Children in Sport Founders Group are presented along with 8 underlying pillars which underpin the successful adoption and implementation of safeguarding strategies. This safeguarding model is designed to assist sport organisations in the creation of a safe sporting environment to ensure that the child athlete can flourish and reach their athletic potential through an enjoyable experience. The aim of this narrative review is to (1) present a summary of the scientific literature on the threats to children in sport; (2) introduce a framework to categorise these threats; (3) identify research gaps in the field and (4) provide safeguarding recommendations for sport organisations.
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Affiliation(s)
- M Mountjoy
- Department of Family Medicine, Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Ontario, Canada Games Group, IOC Medical Commission, Lausanne, Switzerland
| | - D J A Rhind
- Department of Life Sciences, Brunel University, London, UK
| | - A Tiivas
- Child Protection in Sport Unit, National Society for the Prevention of Cruelty to Children, London, UK
| | - M Leglise
- Federation Internationale Gymnastiques, Lausanne, Switzerland President Medical Commission of International World Games Association, Duisbourg, Germany
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14
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Durussel J, Haile DW, Mooses K, Daskalaki E, Beattie W, Mooses M, Mekonen W, Ongaro N, Anjila E, Patel RK, Padmanabhan N, McBride MW, McClure JD, Pitsiladis YP. Blood transcriptional signature of recombinant human erythropoietin administration and implications for antidoping strategies. Physiol Genomics 2016; 48:202-9. [DOI: 10.1152/physiolgenomics.00108.2015] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2015] [Accepted: 01/07/2016] [Indexed: 01/18/2023] Open
Abstract
Recombinant human erythropoietin (rHuEPO) is frequently abused by athletes as a performance-enhancing drug, despite being prohibited by the World Anti-Doping Agency. Although the methods to detect blood doping, including rHuEPO injections, have improved in recent years, they remain imperfect. In a proof-of-principle study, we identified, replicated, and validated the whole blood transcriptional signature of rHuEPO in endurance-trained Caucasian males at sea level ( n = 18) and Kenyan endurance runners at moderate altitude ( n = 20), all of whom received rHuEPO injections for 4 wk. Transcriptional profiling shows that hundreds of transcripts were altered by rHuEPO in both cohorts. The main regulated expression pattern, observed in all participants, was characterized by a “rebound” effect with a profound upregulation during rHuEPO and a subsequent downregulation up to 4 wk postadministration. The functions of the identified genes were mainly related to the functional and structural properties of the red blood cell. Of the genes identified to be differentially expressed during and post-rHuEPO, we further confirmed a whole blood 34-transcript signature that can distinguish between samples collected pre-, during, and post-rHuEPO administration. By providing biomarkers that can reveal rHuEPO use, our findings represent an advance in the development of new methods for the detection of blood doping.
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Affiliation(s)
- Jérôme Durussel
- Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
| | | | - Kerli Mooses
- Faculty of Sport and Exercise Sciences, University of Tartu, Tartu, Estonia
| | - Evangelia Daskalaki
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, United Kingdom
| | - Wendy Beattie
- Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Martin Mooses
- Faculty of Sport and Exercise Sciences, University of Tartu, Tartu, Estonia
| | - Wondyefraw Mekonen
- Department of Medical Physiology, Addis Ababa University, Addis Ababa, Ethiopia
| | - Neford Ongaro
- Department of Medical Physiology, School of Medicine, College of Health Sciences, Moi University, Eldoret, Kenya; and
| | - Edwin Anjila
- Department of Medical Physiology, School of Medicine, College of Health Sciences, Moi University, Eldoret, Kenya; and
| | - Rajan K. Patel
- Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Neal Padmanabhan
- Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Martin W. McBride
- Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
| | - John D. McClure
- Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Yannis P. Pitsiladis
- FIMS Reference Collaborating Centre of Sports Medicine for Anti-Doping Research, University of Brighton, Eastbourne, United Kingdom
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15
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Daskalaki E, Blackburn G, Kalna G, Zhang T, Anthony N, Watson DG. A study of the effects of exercise on the urinary metabolome using normalisation to individual metabolic output. Metabolites 2015; 5:119-39. [PMID: 25734341 PMCID: PMC4381293 DOI: 10.3390/metabo5010119] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2014] [Revised: 02/13/2015] [Accepted: 02/22/2015] [Indexed: 12/30/2022] Open
Abstract
Aerobic exercise, in spite of its multi-organ benefit and potent effect on the metabolome, has yet to be investigated comprehensively via an untargeted metabolomics technology. We conducted an exploratory untargeted liquid chromatography mass spectrometry study to investigate the effects of a one-h aerobic exercise session in the urine of three physically active males. Individual urine samples were collected over a 37-h protocol (two pre-exercise and eight post-exercise). Raw data were subjected to a variety of normalization techniques, with the most effective measure dividing each metabolite by the sum response of that metabolite for each individual across the 37-h protocol expressed as a percentage. This allowed the metabolite responses to be plotted on a normalised scale. Our results highlight significant metabolites located in the following systems: purine pathway, tryptophan metabolism, carnitine metabolism, cortisol metabolism, androgen metabolism, amino acid oxidation, as well as metabolites from the gastrointestinal microbiome. Many of the significant changes observed in our pilot investigation mirror previous research studies, of various methodological designs, published within the last 15 years, although they have never been reported at the same time in a single study.
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Affiliation(s)
- Evangelia Daskalaki
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow G4 0RE, UK.
| | - Gavin Blackburn
- Glasgow Polyomics, University of Glasgow, Wolfson Wohl Cancer Research Centre, Glasgow G61 1 BD, UK.
| | - Gabriela Kalna
- The Beatson Institute for Cancer Research, Garscube Estate, Glasgow G61 1BD, UK.
| | - Tong Zhang
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow G4 0RE, UK.
| | - Nahoum Anthony
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow G4 0RE, UK.
| | - David G Watson
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow G4 0RE, UK.
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16
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Thevis M, Kuuranne T, Geyer H, Schänzer W. Annual banned-substance review: analytical approaches in human sports drug testing. Drug Test Anal 2014; 7:1-20. [DOI: 10.1002/dta.1769] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2014] [Accepted: 12/01/2014] [Indexed: 12/13/2022]
Affiliation(s)
- Mario Thevis
- Center for Preventive Doping Research - Institute of Biochemistry; German Sport University Cologne; Am Sportpark Müngersdorf 6 50933 Cologne Germany
- European Monitoring Center for Emerging Doping Agents; Cologne Germany
| | - Tiia Kuuranne
- Doping Control Laboratory; United Medix Laboratories; Höyläämötie 14 00380 Helsinki Finland
| | - Hans Geyer
- Center for Preventive Doping Research - Institute of Biochemistry; German Sport University Cologne; Am Sportpark Müngersdorf 6 50933 Cologne Germany
| | - Wilhelm Schänzer
- Center for Preventive Doping Research - Institute of Biochemistry; German Sport University Cologne; Am Sportpark Müngersdorf 6 50933 Cologne Germany
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17
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18
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Dvorak J, Saugy M, Pitsiladis YP. Challenges and threats to implementing the fight against doping in sport. Br J Sports Med 2014; 48:807-9. [DOI: 10.1136/bjsports-2014-093589] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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19
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Dvorak J, Baume N, Botré F, Broséus J, Budgett R, Frey WO, Geyer H, Harcourt PR, Ho D, Howman D, Isola V, Lundby C, Marclay F, Peytavin A, Pipe A, Pitsiladis YP, Reichel C, Robinson N, Rodchenkov G, Saugy M, Sayegh S, Segura J, Thevis M, Vernec A, Viret M, Vouillamoz M, Zorzoli M. Time for change: a roadmap to guide the implementation of the World Anti-Doping Code 2015. Br J Sports Med 2014; 48:801-6. [PMID: 24764550 PMCID: PMC4033186 DOI: 10.1136/bjsports-2014-093561] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
A medical and scientific multidisciplinary consensus meeting was held from 29 to 30 November 2013 on Anti-Doping in Sport at the Home of FIFA in Zurich, Switzerland, to create a roadmap for the implementation of the 2015 World Anti-Doping Code. The consensus statement and accompanying papers set out the priorities for the antidoping community in research, science and medicine. The participants achieved consensus on a strategy for the implementation of the 2015 World Anti-Doping Code. Key components of this strategy include: (1) sport-specific risk assessment, (2) prevalence measurement, (3) sport-specific test distribution plans, (4) storage and reanalysis, (5) analytical challenges, (6) forensic intelligence, (7) psychological approach to optimise the most deterrent effect, (8) the Athlete Biological Passport (ABP) and confounding factors, (9) data management system (Anti-Doping Administration & Management System (ADAMS), (10) education, (11) research needs and necessary advances, (12) inadvertent doping and (13) management and ethics: biological data. True implementation of the 2015 World Anti-Doping Code will depend largely on the ability to align thinking around these core concepts and strategies. FIFA, jointly with all other engaged International Federations of sports (Ifs), the International Olympic Committee (IOC) and World Anti-Doping Agency (WADA), are ideally placed to lead transformational change with the unwavering support of the wider antidoping community. The outcome of the consensus meeting was the creation of the ad hoc Working Group charged with the responsibility of moving this agenda forward.
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Affiliation(s)
- Jiri Dvorak
- FIFA/F-MARC FIFA-Strasse, , Zurich, Switzerland
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