Prism 9 statistical software

Data were plotted using GraphPad Prism 9 Statistical Software (San Diego, CA) and presented as mean ± SEM. Data from the self-grooming and open field assays were analyzed by one-way analysis of variances (ANOVAs) to compare groups. Bonferroni’s multiple comparisons post-hoc tests were performed when appropriate. Data from the three-chamber sociability assay were analyzed by multiple unpaired t-tests comparing novel mouse vs. novel object chamber times within groups. Statistical significance was set at p < 0.05.

Each reported activity is the average of at least three wells with standard deviation of the mean. Data from animal experiments are reported as standard error of the mean. Where indicated, the data were analyzed by one-way ANOVA followed by Fisher’s least significant difference test using Prism 9 Statistical Software (GraphPad, San Diego, CA, USA). A value of p < 0.05 was considered statistically significant.

Data after lipid normalization were used and collected for absolute quantification (data with internal standard) and peak area (without internal standard) for relative quantification, using Analyst software. SCIEX OS software was used to quantify and normalized the peak area according to the detection area value of the internal standard (Normalized data = peak area/internal standard detection peak area × internal standard concentration). Ultimately, usable data need to exclude RSD ≤30% (RSD = standard deviation/average value). Cell lipidomic results were standardized according to cellular protein levels. Mice were randomized into groups. Tumour volume = (length × width^2)/2. Tumour size was measured with vernier callipers. Prism 9 statistical software (Graph Pad Software, CA, USA) was used for data analysis, the lipid heat map was analyzed by MetaboAnalyst web (www.metaboanalyst.ca), the lipid gene network map was analyzed by Cytoscape 3.9.0 and IHC mean density was analyzed by Image‐pro plus 6.0 (Mean density = (IOD SUM)/area). Unpaired two‐tailed Student t‐tests or one‐way analysis of variance were used to calculate p‐values for bar graphs.

Prism 9 statistical software (GraphPad Software, San Diego, CA, USA) was used to do all statistical analyses. Clinical and population variables are shown as mean ± standard deviation, and categorical variables are expressed as numbers and percentages. Variations between variables at baseline and follow-up were compared using the Wilcoxon test for variables with nonnormal distribution and the t-test for variables with normal distribution. All p values were two-sided; statistical significance was considered for p values < 0.05.

Data were processed in Prism Statistical Software 9.0 (GraphPad Corporation, San Diego, CA, USA). Descriptive statistics were reported as the mean ± SD of the percentage of MVC. Normality was assessed by the Shapiro–Wilk test. A two-way repeated measures ANOVA (slope × phase) was performed. All performance variables using Caddie SC300GPS were subjected to a one-way ANOVA (slope) for statistical significance. The alpha level was set at 0.05 and then adjusted by the Bonferroni correction according to the number of statistical comparisons. Pairwise comparisons were performed with the Bonferroni test.