Details

Autor(en) / Beteiligte

• Dias, Rodrigo Gonçalves
• Silva, Michelle Sabrina Moreira
• Duarte, Nubia Esteban
• Bolani, Wladimir
• Alves, Cleber Renê
• Junior, José Ribeiro Lemos
• da Silva, Jeferson Luis
• de Oliveira, Patrícia Alves
• Alves, Guilherme Barreto
• de Oliveira, Edilamar Menezes
• Rocha, Cristiane Souza
• Marsiglia, Julia Daher Carneiro
• Negrao, Carlos Eduardo
• Krieger, Eduardo Moacyr
• Krieger, José Eduardo
• Pereira, Alexandre Costa

Titel

PBMCs express a transcriptome signature predictor of oxygen uptake responsiveness to endurance exercise training in men

Ist Teil von

• Physiological genomics, 2015-02, Vol.47 (2), p.13-23

Ort / Verlag

United States

Erscheinungsjahr

2015

Quelle

MEDLINE

Beschreibungen/Notizen

• Peripheral blood cells are an accessible environment in which to visualize exercise-induced alterations in global gene expression patterns. We aimed to identify a peripheral blood mononuclear cell (PBMC) signature represented by alterations in gene expression, in response to a standardized endurance exercise training protocol. In addition, we searched for molecular classifiers of the variability in oxygen uptake (V̇o2). Healthy untrained policemen recruits (n = 13, 25 ± 3 yr) were selected. Peak V̇o2 (measured by cardiopulmonary exercise testing) and total RNA from PBMCs were obtained before and after 18 wk of running endurance training (3 times/wk, 60 min). Total RNA was used for whole genome expression analysis using Affymetrix GeneChip Human Gene 1.0 ST. Data were normalized by the robust multiarray average algorithm. Principal component analysis was used to perform correlations between baseline gene expression and V̇o2peak. A set of 211 transcripts was differentially expressed (ANOVA, P < 0.05 and fold change > 1.3). Functional enrichment analysis revealed that transcripts were mainly related to immune function, cell cycle processes, development, and growth. Baseline expression of 98 and 53 transcripts was associated with the absolute and relative V̇o2peak response, respectively, with a strong correlation (r > 0.75, P < 0.01), and this panel was able to classify the 13 individuals according to their potential to improve oxygen uptake. A subset of 10 transcripts represented these signatures to a similar extent. PBMCs reveal a transcriptional signature responsive to endurance training. Additionally, a baseline transcriptional signature was associated with changes in V̇o2peak. Results might illustrate the possibility of obtaining molecular classifiers of endurance capacity changes through a minimally invasive blood sampling procedure.