miRNAs and sports: tracking training status and potentially confounding diagnoses

• Published in: Journal of translational medicine 2016-07, Vol.14 (1), p.219-219, Article 219
• Main Authors: Hecksteden, Anne, Leidinger, Petra, Backes, Christina, Rheinheimer, Stefanie, Pfeiffer, Mark, Ferrauti, Alexander, Kellmann, Michael, Sedaghat-Hamedani, Farbod, Meder, Benjamin, Meese, Eckart, Meyer, Tim, Keller, Andreas
• Format: Article
• Language: English
• Subjects: Athletes; Cluster Analysis; Confounding Factors (Epidemiology); Exercise; Exercise - physiology; Gene Expression Profiling; Gene Regulatory Networks; Genetic aspects; Humans; Male; MicroRNA; MicroRNAs - blood; MicroRNAs - genetics; Physiological aspects; Principal Component Analysis; Resistance Training; Sports
• ISSN: 1479-5876; 1479-5876
• DOI: 10.1186/s12967-016-0974-x

The dependency of miRNA abundance from physiological processes such as exercises remains partially understood. We set out to analyze the effect of physical exercises on miRNA profiles in blood and plasma of endurance and strength athletes in a systematic manner and correlated differentially abundant miRNAs in athletes to disease miRNAs biomarkers towards a better understanding of how physical exercise may confound disease diagnosis by miRNAs. We profiled blood and plasma of 29 athletes before and after exercise. With four samples analyzed for each individual we analyzed 116 full miRNomes. The study set-up enabled paired analyses of individuals. Affected miRNAs were investigated for known disease associations using network analysis. MiRNA patterns in blood and plasma of endurance and strength athletes vary significantly with differences in blood outreaching variations in plasma. We found only moderate differences between the miRNA levels before training and the RNA levels after training as compared to the more obvious variations found between strength athletes and endurance athletes. We observed significant variations in the abundance of miR-140-3p that is a known circulating disease markers (raw and adjusted p value of 5 × 10(-12) and 4 × 10(-7)). Similarly, the levels of miR-140-5p and miR-650, both of which have been reported as makers for a wide range of human pathologies significantly depend on the training mode. Among the most affected disease categories we found acute myocardial infarction. MiRNAs, which are up-regulated in endurance athletes inhibit VEGFA as shown by systems biology analysis of experimentally validated target genes. We provide evidence that the mode and the extent of training are important confounding factors for a miRNA based disease diagnosis.