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miRNAs and sports: tracking training status and potentially confounding diagnoses

BACKGROUND: 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 differentia...

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Autores principales: Hecksteden, Anne, Leidinger, Petra, Backes, Christina, Rheinheimer, Stefanie, Pfeiffer, Mark, Ferrauti, Alexander, Kellmann, Michael, Sedaghat, Farbod, Meder, Benjamin, Meese, Eckart, Meyer, Tim, Keller, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4960671/
https://www.ncbi.nlm.nih.gov/pubmed/27456854
http://dx.doi.org/10.1186/s12967-016-0974-x
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author Hecksteden, Anne
Leidinger, Petra
Backes, Christina
Rheinheimer, Stefanie
Pfeiffer, Mark
Ferrauti, Alexander
Kellmann, Michael
Sedaghat, Farbod
Meder, Benjamin
Meese, Eckart
Meyer, Tim
Keller, Andreas
author_facet Hecksteden, Anne
Leidinger, Petra
Backes, Christina
Rheinheimer, Stefanie
Pfeiffer, Mark
Ferrauti, Alexander
Kellmann, Michael
Sedaghat, Farbod
Meder, Benjamin
Meese, Eckart
Meyer, Tim
Keller, Andreas
author_sort Hecksteden, Anne
collection PubMed
description BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSION: We provide evidence that the mode and the extent of training are important confounding factors for a miRNA based disease diagnosis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12967-016-0974-x) contains supplementary material, which is available to authorized users.
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spelling pubmed-49606712016-07-27 miRNAs and sports: tracking training status and potentially confounding diagnoses Hecksteden, Anne Leidinger, Petra Backes, Christina Rheinheimer, Stefanie Pfeiffer, Mark Ferrauti, Alexander Kellmann, Michael Sedaghat, Farbod Meder, Benjamin Meese, Eckart Meyer, Tim Keller, Andreas J Transl Med Research BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSION: We provide evidence that the mode and the extent of training are important confounding factors for a miRNA based disease diagnosis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12967-016-0974-x) contains supplementary material, which is available to authorized users. BioMed Central 2016-07-26 /pmc/articles/PMC4960671/ /pubmed/27456854 http://dx.doi.org/10.1186/s12967-016-0974-x Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Hecksteden, Anne
Leidinger, Petra
Backes, Christina
Rheinheimer, Stefanie
Pfeiffer, Mark
Ferrauti, Alexander
Kellmann, Michael
Sedaghat, Farbod
Meder, Benjamin
Meese, Eckart
Meyer, Tim
Keller, Andreas
miRNAs and sports: tracking training status and potentially confounding diagnoses
title miRNAs and sports: tracking training status and potentially confounding diagnoses
title_full miRNAs and sports: tracking training status and potentially confounding diagnoses
title_fullStr miRNAs and sports: tracking training status and potentially confounding diagnoses
title_full_unstemmed miRNAs and sports: tracking training status and potentially confounding diagnoses
title_short miRNAs and sports: tracking training status and potentially confounding diagnoses
title_sort mirnas and sports: tracking training status and potentially confounding diagnoses
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4960671/
https://www.ncbi.nlm.nih.gov/pubmed/27456854
http://dx.doi.org/10.1186/s12967-016-0974-x
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