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Circulating miRNA Signaling for Fatty Acid Metabolism in Response to a Maximum Endurance Test in Elite Long-Distance Runners.

Authors :
Paulucio, Dailson
Ramirez-Sanchez, Carlos
Velasque, Rodolfo
Xavier, Raphael
Monnerat, Gustavo
Dill, Adrieli
Silveira, Juliano
Andrade, Gabriella M.
Meirelles, Flavio
Dornelas-Ribeiro, Marcos
Kirchner, Benedikt
Pfaffl, Michael W.
Pompeu, Fernando
Santos, Caleb G. M.
Source :
Genes; Aug2024, Vol. 15 Issue 8, p1088, 15p
Publication Year :
2024

Abstract

Maximal oxygen uptake (VO<subscript>2</subscript>max) is a determining indicator for cardiorespiratory capacity in endurance athletes, and epigenetics is crucial in its levels and variability. This initial study examined a broad plasma miRNA profile of twenty-three trained elite endurance athletes with similar training volumes but different VO<subscript>2</subscript>max in response to an acute maximal graded endurance test. Six were clustered as higher/lower levels based on their VO<subscript>2</subscript>max (75.4 ± 0.9 and 60.1 ± 5.0 mL.kg<superscript>−1</superscript>.min<superscript>−1</superscript>). Plasma was obtained from athletes before and after the test and 15 ng of total RNA was extracted and detected using an SYBR-based 1113 miRNA RT-qPCR panel. A total of 51 miRNAs were differentially expressed among group comparisons. Relative amounts of miRNA showed a clustering behavior among groups regarding distinct performance/time points. Significantly expressed miRNAs were used to perform functional bioinformatic analysis (DIANA tools). Fatty acid metabolism pathways were strongly targeted for the significantly different miRNAs in all performance groups and time points (p < 0.001). Although this pathway does not solely determine endurance performance, their significant contribution is certainly achieved through the involvement of miRNAs. A highly genetically dependent gold standard variable for performance evaluation in a homogeneous group of elite athletes allowed genetic/epigenetic aspects related to fatty acid pathways to emerge. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20734425
Volume :
15
Issue :
8
Database :
Complementary Index
Journal :
Genes
Publication Type :
Academic Journal
Accession number :
179354101
Full Text :
https://doi.org/10.3390/genes15081088