Transcription profiling by array of human neutrophils after 30 minutes' exercise

Relatively brief bouts of exercise alter gene expression in peripheral blood mononuclear cells (PBMCs), but whether or not exercise changes gene expression in circulating neutrophils (whose numbers, like PBMCs, increase) is not known. We hypothesized that exercise would activate neutrophil genes involved in apoptosis, inflammation, and cell growth and repair, since these functions in leukocytes are known to be influenced by exercise. Blood was sampled before and immediately after 30-min of constant, heavy (about 80% peak O2 uptake) cycle-ergometer exercise in 12 healthy men (19-29 yr old) of average fitness. Neutrophils were isolated using density gradients; RNA was hybridized to Affymetrix U133+2 Genechip arrays. Using FDR<0.05 with 95% confidence a total of 526 genes were differentially expressed between before and after exercise. 316 genes had higher expression after exercise. The Jak/STAT pathway, known to inhibit apoptosis, was significantly activated (EASE score, p<0.005), but 14 genes were altered in a way likely to accelerate apoptosis as well. Similarly, both proinflammatory (e.g., IL32, TNFSF8 and CCR5) and anti-inflammatory (e.g., ANXA1) were affected. Growth and repair genes like AREG and FGF2 receptor genes (involved in angiogenesis) were also activated. Finally, a number of neutrophil genes known to be involved in pathological conditions like asthma and arthritis were altered by exercise, suggesting novel links between physical activity and disease or its prevention. In summary, brief heavy exercise leads to a previously unknown substantial and significant alteration in neutrophil gene expression. Experiment Overall Design: Twelve healthy men (19-29 yr old) participated in this study. A baseline blood sample was taken before the onset of exercise and immediately after 30-min exercise bout. Neutrophils were isolated using OptiPrep Density Gradient Medium (SIGMA). Total RNA was extracted using TRIzol. cRNA was hybridized onto Affymetrix U133+2 arrays (total of 24 chips).