Carlos Ramirez-Sanchez
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Carlos Ramirez-Sanchez has a total of 13 co-authors. Here are the top co-authors by number of shared publications:
- Adrieli Dill
Molecular Diagnostic Laboratory, Instituto de Biologia do Exército, Exército Brasileiro, Rio de Janeiro 20911-270, Brazil
1 shared publication - Benedikt Kirchner
Department of Animal Physiology and Immunology, School of Life Sciences, Technical University of Munich, Freising, Germany
1 shared publication - Caleb Guedes Miranda Santos
Center for Biodefense Studies, Army Biology Institute, Rio de Janeiro 20911-270, RJ, Brazil
1 shared publication - Dailson Paulucio
Salgado de Oliveira University (UNIVERSO)
1 shared publication - Fernando Augusto Monteiro Saboia Pompeu
Universidade Federal do Rio de Janeiro, Brasil
1 shared publication - Flávio Vieira Meirelles
Universidade de São Paulo, Brazil
1 shared publication
Latest Publications
- Open Access
Circulating miRNA Signaling for Fatty Acid Metabolism in Response to a Maximum Endurance Test in Elite Long-Distance Runners
Maximal oxygen uptake (VO2max) 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 VO2max in response to an acute maximal graded endurance test. Six were clustered as higher/lower levels based on their VO2max (75.4 ± 0.9 and 60.1 ± 5.0 mL.kg−1.min−1). 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.
Open AccessCirculating miRNA Signaling for Fatty Acid Metabolism in Response to a Maximum Endurance Test in Elite Long-Distance Runners
Maximal oxygen uptake (VO2max) 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 VO2max in response to an acute maximal graded endurance test. Six were clustered as higher/lower levels based on their VO2max (75.4 ± 0.9 and 60.1 ± 5.0 mL.kg−1.min−1). 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.