Next Generation Omics

Despite being prohibited by World Anti-Doping Agency (WADA), blood manipulations such as the use of recombinant human erythropoietin (rHuEpo) and blood transfusions are well-known methods used by athletes to enhance performance. Direct detection of illicit blood manipulation has been partially successful due to the short detection window of the substances/methods, sample collection timing and the use of sophisticated masking strategies. In response, WADA introduced the Athlete Biological Passport (ABP) in 2009, which is an individualised longitudinal monitoring approach that tests primarily haematologic biomarkers of doping in order to identify atypical variability in response(s) in the athlete, highlighting a potential doping violation.

Although the implementation of the ABP has been an encouraging step forward in the quest for clean/drug-free sport, this detection method has some limitations. To reduce the risk of being detected by the ABP method, athletes are now resorting to microdoses of prohibited blood boosting substances to restrain abnormal fluctuations in the haematologic biomarkers, thereby reducing the sensitivity of the ABP detection method. Recent studies from numerous laboratories, including our own, have confirmed the potential of a transcriptomic microarray approach, which can assess distinct changes in gene expression after blood manipulations, to enhance the ABP. The closely interconnected studies conducted to date systematically evaluated an omics solution to detect blood doping with particular reference to rHuEpo doping. For example, relative to baseline, hundreds of genes were differentially expressed, that is they were switched ‘on’ and ‘off’, during rHuEpo administration. Notably, a few of these genes were switched ‘on’ after only a single rHuEpo injection, while further genes being switched ‘on’ during rHuEpo administration and remained switched ‘on’ up to four weeks after the last rHuEpo injection. A subset of these genes reflecting rHuEpo was further validated using a complementary gene expression technology and under different conditions such as blood transfusion, altitude training and exercise training to ensure the robustness of the technology and approach. These promising data provide the strongest evidence to date that omics technologies such as gene expression have the potential to add a new dimension to the ABP in terms of sensitivity and specificity for rHuEpo detection and blood doping in general.

Given the promising results, it is now of paramount importance to evaluate the effects of major confounding factors on this ‘molecular signature’ of rHuEpo doping, such as the effects of altitude and the effects of prior exercise. Specifically, there is an urgent need for developing specific and robust testing models which can differentiate altitude training from blood doping methods.

Therefore, the aim of this research is to compare blood gene expression profiles altered by rHuEpo (fairly high and microdose regimens, data from past and ongoing WADA-funded projects) and blood doping (with a focus on autologous transfusion) with altitude exposure in order to provide a set of candidate genes that can be used to detect blood doping.

The aim of this research is to compare blood gene expression profiles altered by rHuEpo (fairly high and microdose regimens, data from past and ongoing WADA-funded projects) and blood doping (with a focus on autologous transfusion) with altitude exposure in order to provide a set of candidate genes that can be used to detect blood doping.

We believe that omics technologies integrated with more traditional methods offer the preferred method to strengthen the current ABP approach and contribute to other traditional anti-doping tests, especially for doping substances and methods difficult to detect, such as recombinant human growth hormone and blood transfusions.

In the main, anti-doping experts with hands-on experience of omics agree that the future of anti-doping research must reside in omics technologies. As for cancer research, most recent developments are firmly grounded in omics technologies despite numerous setbacks. In order to confirm that adding omics technologies to the ABP can significantly improve detection of rHuEPO and other difficult to detect drugs/methods, it is essential to developing specific and robust testing models which can differentiate altitude training from blood doping. Omics technologies such as gene expression have the potential to provide a ‘molecular signature’ specific to rHuEpo, blood transfusion and altitude exposure. The investigations and data acquisition proposed here are necessary before being able to assess the likelihood for inclusion of the omics biomarkers to the ABP and/or developing the next generation stand-alone test(s) to reveal doping or identify suspicious samples for targeting purposes. There is also the interesting possibility that this approach could help reduce the pressure on the athletes’ anti-doping obligations such as the ‘athletes' whereabouts’.

Karanikolou A, Wang G, Pitsiladis Y (2017) Letter to the editor: A genetic-based algorithm for personalized resistance training. Biol Sport 34:31-33.

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