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Statistical analysis For each cytokine concentration, inter-subject variability was assessed using a coefficient of variation (CV). The coefficient of variation was estimated according to the following rule: SD/mean �� 100%. The associations between study variables were assessed by partial correlation analysis. The partial correlations procedure computes correlation coefficients that describe the linear relationship between two variables while controlling for the effects of other additional variables. Partial correlations analysis was done for all study cytokines irrespective of their CV. To determine differences between the groups, Mann-Whitney test was used. All statistical analyses were performed using StatSoft Statistica for Windows, release 8.0 (StatSoft, Inc., Tulsa, USA). Values of p Oxygenase for this study. Detailed characteristics are shown in Table 1. Table 1 Characteristics of study patients Detections of cytokines Lower detection limits for all cytokines are given in Table 2. When the concentrations were below the detection limit in more than 50% of Selleck GSK2656157 observations, cytokines were excluded from the analysis (n = 20). Table 2 Descriptive statistics and partial correlations between study variables Inter-subject variability The inter-subject variability of study cytokines ranged from 8.6 to 54.6 (Table 2). Cytokines with CVselleck inhibitor We conducted the correlation analysis between the FeNO level and cytokines concentration in EBC. All correlations between two different variables were controlled for the effects of age, FEV1 and number of asthma exacerbation during last 12 months. The results of all correlation analyses are shown in Table 2. We showed a significant positive correlation between the FeNO level and IL-2, monocyte chemoattractant protein-1 (MCP-1), platelet-derived growth factor BB (PDGFBB) and tissue inhibitory of metalloproteinase 2 (TIMP2) (Figure 1). We conducted a partial correlation between cytokines included into the analysis. Significant and independent correlations have been found (Table 3). Additionally, we observed a significant correlation between FEV1 and IL-10 (R = 0,855; p