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The ventilatory threshold (VT) is the point at which ventilation intensifies disproportionately concerning to the oxygen uptake, this parameter is essential within the training methodology to optimize performance; the purpose of this work is to measure the degree of agreement between the determination of the ventilatory threshold determined by for oxygen uptake and four methods by Heart Rate Variability (HRV). Methodology: Twelve professional female cyclists between 18 and 28 years of age were evaluated through a maximal incremental test on a cycle ergometer; gas exchange was measure with a portable telemetric device (Cosmed K4b2®) and simultaneously the HRV was registered by R-R recording trough a Polar RS800CX® (Polar, Finland) heart rate monitor. Statistics: The degree of precision and accuracy established between the variables mentioned and normality test Shapiro-Wilk. Results: rho = 1.00 with p-value < .05, and Lin correlation and concordance coefficients of .99 with r = 0.98 for ventilatory threshold 2 (VT2), constituting a level of precision and accuracy almost perfect; by contrast, ventilatory threshold 1 (VT1) did not show significant precision and accuracy. This study suggests that VT2 can be identified from The time series. RR using the analysis of frequency and temporal domains likewise allows. Us to have a reference measure for future research in other sports. [ABSTRACT FROM AUTHOR]

The performance in physical activity is determined not only by physiological processes such as age, body composition, gender and degree of training, but also by the genomics and even epigenetic events occurring during the training programs. In this context, using bioinformatics resources, we aimed to analyse the expression of genes associated with muscle function in vastus lateral samples. We used data from DNA microarray experiments reported in NCBI's GEO DataSet database under the series number GSE117070. Differential expression was calculated using the Z-ratio equation. We also used the software Cytoscape 3.6 to build a protein-protein interaction network with over-expressed genes. We found that seven genes out of the 397 genes analysed in the 41 individuals subjected to aerobic exercise with an increase in training intensity through the percentage of VO2max, were over-expressed based on the statistical approach. The Protein-Protein Interaction (PPI) network showed 477 nodes, two connected components, 17 multi-edge node pairs and an average number of neighbours of 2.092. The node with the highest number of interactions was TPM1 with 150. GO categories of biological processes most relevant of the network included indispensable processes for muscle function and contraction such as polymerization of actin filaments and ATP synthesis from electron transport chain. [ABSTRACT FROM AUTHOR]