2.5. Statistical analysis

The data and statistical analysis comply with the recommendations of the British Journal of Pharmacology on experimental design and analysis in pharmacology (Curtis et al., 2018). For Next‐Generation Sequencing (NGS) data analysis, normalisation was performed and differential expression was studied using a generalised linear model implemented in edgeR (McCarthy et al., 2012; Robinson et al., 2010) using patient number and treatment as experimental factors. Elsewhere, repeated measures ANOVA or Wilcoxon matched‐pairs signed‐ranks test with Bonferroni's post‐test was performed using GraphPad InStat version 3.10 for Windows (RRID:SCR_000306). Post hoc tests were only run if F achieved <0.05. The declared group sizes (n = 10) are the numbers of independent values (different patients). Results are presented as mean + SEM. Differences were considered significant at P < 0.05.