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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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

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Author(s):
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Dias, Rodrigo Goncalves [1] ; Moreira Silva, Michelle Sabrina [1] ; Duarte, Nubia Esteban [1] ; Bolani, Wladimir [1] ; Alves, Cleber Rene [2] ; Lemos Junior, Jose Ribeiro [1, 3] ; da Silva, Jeferson Luis [1] ; de Oliveira, Patricia Alves [2, 4] ; Alves, Guilherme Barreto [4] ; de Oliveira, Edilamar Menezes [2] ; Rocha, Cristiane Souza [5] ; Carneiro Marsiglia, Julia Daher [1] ; Negrao, Carlos Eduardo [2, 4] ; Krieger, Eduardo Moacyr [1] ; Krieger, Jose Eduardo [1] ; Pereira, Alexandre Costa [1]
Total Authors: 16
Affiliation:
[1] Univ Sao Paulo, Sch Med, Heart Inst InCor, Lab Genet & Mol Cardiol, Sao Paulo - Brazil
[2] Univ Sao Paulo, Sch Phys Educ & Sport, Sao Paulo - Brazil
[3] Sao Paulo State Police Dept, Sao Paulo - Brazil
[4] Univ Sao Paulo, Sch Med, Heart Inst InCor, Unit Cardiac Rehabil & Exercise Physiol, Sao Paulo - Brazil
[5] Univ Estadual Campinas, Sao Paulo - Brazil
Total Affiliations: 5
Document type: Journal article
Source: Physiological Genomics; v. 47, n. 2, p. 13-23, FEB 1 2015.
Web of Science Citations: 9
Abstract

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 ((V) over dotO(2)). Healthy untrained policemen recruits (n = 13, 25 +/- 3 yr) were selected. Peak (V) over dotO(2) (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 (V) over dotO(2peak). 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 (V) over dotO(2)peak 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 (V) over dotO(2peak). Results might illustrate the possibility of obtaining molecular classifiers of endurance capacity changes through a minimally invasive blood sampling procedure. (AU)

FAPESP's process: 05/59740-7 - Physical exercise and autonomic control in cardiovascular physiopathology
Grantee:Carlos Eduardo Negrão
Support type: Research Projects - Thematic Grants