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miRNAs as markers for the development of individualized training regimens: A pilot study
Small, non‐coding RNAs (microRNAs) have been shown to regulate gene expression in response to exercise in various tissues and organs, thus possibly coordinating their adaptive response. Thus, it is likely that differential microRNA expression might be one of the factors that are responsible for diff...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8915711/ https://www.ncbi.nlm.nih.gov/pubmed/35274816 http://dx.doi.org/10.14814/phy2.15217 |
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author | Widmann, Manuel Mattioni Maturana, Felipe Burgstahler, Christof Erz, Gunnar Schellhorn, Philipp Fragasso, Annunziata Schmitt, Angelika Nieß, Andreas M. Munz, Barbara |
author_facet | Widmann, Manuel Mattioni Maturana, Felipe Burgstahler, Christof Erz, Gunnar Schellhorn, Philipp Fragasso, Annunziata Schmitt, Angelika Nieß, Andreas M. Munz, Barbara |
author_sort | Widmann, Manuel |
collection | PubMed |
description | Small, non‐coding RNAs (microRNAs) have been shown to regulate gene expression in response to exercise in various tissues and organs, thus possibly coordinating their adaptive response. Thus, it is likely that differential microRNA expression might be one of the factors that are responsible for different training responses of different individuals. Consequently, determining microRNA patterns might be a promising approach toward the development of individualized training strategies. However, little is known on (1) microRNA patterns and their regulation by different exercise regimens and (2) possible correlations between these patterns and individual training adaptation. Here, we present microarray data on skeletal muscle microRNA patterns in six young, female subjects before and after six weeks of either moderate‐intensity continuous or high‐intensity interval training on a bicycle ergometer. Our data show that n = 36 different microRNA species were regulated more than twofold in this cohort (n = 28 upregulated and n = 8 downregulated). In addition, we correlated baseline microRNA patterns with individual changes in VO(2)max and identified some specific microRNAs that might be promising candidates for further testing and evaluation in the future, which might eventually lead to the establishment of microRNA marker panels that will allow individual recommendations for specific exercise regimens. |
format | Online Article Text |
id | pubmed-8915711 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89157112022-03-18 miRNAs as markers for the development of individualized training regimens: A pilot study Widmann, Manuel Mattioni Maturana, Felipe Burgstahler, Christof Erz, Gunnar Schellhorn, Philipp Fragasso, Annunziata Schmitt, Angelika Nieß, Andreas M. Munz, Barbara Physiol Rep Original Articles Small, non‐coding RNAs (microRNAs) have been shown to regulate gene expression in response to exercise in various tissues and organs, thus possibly coordinating their adaptive response. Thus, it is likely that differential microRNA expression might be one of the factors that are responsible for different training responses of different individuals. Consequently, determining microRNA patterns might be a promising approach toward the development of individualized training strategies. However, little is known on (1) microRNA patterns and their regulation by different exercise regimens and (2) possible correlations between these patterns and individual training adaptation. Here, we present microarray data on skeletal muscle microRNA patterns in six young, female subjects before and after six weeks of either moderate‐intensity continuous or high‐intensity interval training on a bicycle ergometer. Our data show that n = 36 different microRNA species were regulated more than twofold in this cohort (n = 28 upregulated and n = 8 downregulated). In addition, we correlated baseline microRNA patterns with individual changes in VO(2)max and identified some specific microRNAs that might be promising candidates for further testing and evaluation in the future, which might eventually lead to the establishment of microRNA marker panels that will allow individual recommendations for specific exercise regimens. John Wiley and Sons Inc. 2022-03-11 /pmc/articles/PMC8915711/ /pubmed/35274816 http://dx.doi.org/10.14814/phy2.15217 Text en © 2022 The Authors. Physiological Reports published by Wiley Periodicals LLC on behalf of The Physiological Society and the American Physiological Society https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Widmann, Manuel Mattioni Maturana, Felipe Burgstahler, Christof Erz, Gunnar Schellhorn, Philipp Fragasso, Annunziata Schmitt, Angelika Nieß, Andreas M. Munz, Barbara miRNAs as markers for the development of individualized training regimens: A pilot study |
title | miRNAs as markers for the development of individualized training regimens: A pilot study |
title_full | miRNAs as markers for the development of individualized training regimens: A pilot study |
title_fullStr | miRNAs as markers for the development of individualized training regimens: A pilot study |
title_full_unstemmed | miRNAs as markers for the development of individualized training regimens: A pilot study |
title_short | miRNAs as markers for the development of individualized training regimens: A pilot study |
title_sort | mirnas as markers for the development of individualized training regimens: a pilot study |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8915711/ https://www.ncbi.nlm.nih.gov/pubmed/35274816 http://dx.doi.org/10.14814/phy2.15217 |
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