Krumm Bastien, Botrè Francesco, Saugy Jonas J, Faiss Raphael
Research and Expertise in Anti-Doping Sciences, Institute of Sport Sciences, University of Lausanne, Lausanne, Switzerland.
Laboratorio Antidoping, Federazione Medico Sportiva Italiana, Rome, Italy.
Front Sports Act Living. 2022 Nov 2;4:986875. doi: 10.3389/fspor.2022.986875. eCollection 2022.
The Athlete Biological Passport (ABP) was introduced to complement the direct anti-doping approach by indirectly outlining the possible use of prohibited substances or methods in sports. The ABP proved its effectiveness, at least through a deterrent effect, even though the matrices used for longitudinal monitoring (urine and blood) are subject to many intrinsic (e.g., genetic) and extrinsic (e.g., environmental conditions) confounding factors. In that context, new and more specific biomarkers are currently under development to enhance both the sensitivity and the specificity of the ABP. Multiple strategies are presently being explored to improve this longitudinal monitoring, with the development of the current modules, the investigation of new strategies, or the screening of new types of doping. Nevertheless, due to the variability induced by indirect biomarkers, the consideration of confounding factors should continuously support this research. Beyond tremendous advances in analytical sensitivity, machine learning-based approaches seem inevitable to facilitate an expert interpretation of numerous biological profiles and promote anti-doping efforts. This perspective article highlights the current innovations of the Athlete Biological Passport that seem the most promising. Through different research axes, this short manuscript provides an opportunity to bring together approaches that are more widely exploited (e.g., omics strategies) and others in the early stages of investigation (e.g., artificial intelligence) seeking to develop the ABP.
运动员生物护照(ABP)的引入是为了通过间接勾勒出在体育活动中可能使用违禁物质或方法的情况,来补充直接的反兴奋剂方法。ABP证明了其有效性,至少通过威慑作用,尽管用于纵向监测的基质(尿液和血液)受到许多内在(如遗传)和外在(如环境条件)混杂因素的影响。在这种背景下,目前正在开发新的、更具特异性的生物标志物,以提高ABP的敏感性和特异性。目前正在探索多种策略来改进这种纵向监测,包括开发当前的模块、研究新策略或筛查新型兴奋剂。然而,由于间接生物标志物引起的变异性,对混杂因素的考虑应持续支持这项研究。除了分析灵敏度方面的巨大进步,基于机器学习的方法似乎对于促进对众多生物特征的专家解读和推动反兴奋剂工作是不可避免的。这篇观点文章突出了运动员生物护照目前最具前景的创新之处。通过不同的研究方向,这篇简短的手稿提供了一个机会,将更广泛应用的方法(如组学策略)和处于研究初期的其他方法(如人工智能)汇聚在一起,这些方法都旨在发展运动员生物护照。