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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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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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. |
format | Online Article Text |
id | pubmed-4960671 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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