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Because most of the data was distributed not normally, results are expressed as median and interquartile range (IQR) as dispersion characteristic, and p value less than 0.05 ( p < 0.05) was considered as statistically significant. If data were not normally distributed, the comparison of medians between different groups was switched to non-parametric one-way ANOVA on ranks or Kruskal-Wallis test followed by two-stage step-up method of Benjamini, Krieger and Yekutieli as post-hoc test. Homogeneity of variances was tested using Brown-Forsythe and Bartlett’s tests, and in a case of unequal SDs Brown-Forsythe and Welch ANOVA test was applied. The comparison of means between different groups of numerical variables was performed using one-way ANOVA. Z-value equal or higher than 2, also equal or lower than −2 indicates that variable significantly differs from the control group mean. Z-transformation of the QST data was performed using the following expression z = ( x − μ)/ σ, where x corresponds to the individual variable from the datasets that must be normalized with z-transformation, while μ and σ are the control group mean and standard deviation (SD), respectively. To test whether the collected numerical data are normally distributed, the D’Agostino and Pearson, Anderson-Darling and Shapiro-Wilk normality tests were applied.

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All the graphs, calculations, and statistical analyses were performed using GraphPad Prism software version 8.0 for Mac (GraphPad Software, San Diego, CA, USA).