Quantification and Statistical Analysis

No method of randomization to assign experimental groups was performed but they are similar to those reported in previous publications (Hilal et al., 2017, Moreau et al., 2010). Data collection and analysis were performed blind to the conditions of the experiment. All animals were assigned randomly to the different experimental conditions. Normality and homogeneity of variances from the samples were tested with Shapiro-Wilk test and Bartlett test respectively. If data were parametric, Student’s t test (two comparisons), ANOVA 1-way (multiple comparisons), ANOVA 2-way or ANOVA 3-way were used. Otherwise non-parametric tests were used (Mann-Whitney or Kruskall-Wallis). When significant interaction effects of main factors were detected, post hoc analyses, recommended by GraphPad Prism 7 software (Bonferroni’s, Sidak’s or Tukey’s for ANOVA and Dunn’s for Kruskall-Wallis), were performed. Effects with p values ≤ 0.05 are reported as significant. The exact value of n, what they represent as well as SEM or SD graphic display are indicated in figure legends. Detailed information about statistical tests used and their results are provided in an excel statistical Table (Table S1).