Fig. 12
Correlation networks illustrating the correlation matrices associated with disease immunopathology, highlighting the relationships between the different parameters analyzed. Correlation matrices were calculated using R Studio software, employing the Spearman test for non-parametric samples and the Pearson test for parametric samples. The correlation matrix data were exported and analyzed in Cytoscape software (version 3.8.2) using the MetScape package, which allows the construction and visualization of correlation networks. For network visualization, only correlation values greater than 0.5 or less than −0.5 were considered. Correlations are represented by colors: blue indicates negative correlations and red indicates positive correlations, with the thickness of the edges between variables reflecting the strength of the correlation. The categories analyzed are: A infected and untreated animals in the acute phase; B infected animals treated with SGE 30 µg in the acute phase; C infected and untreated animals in the chronic phase; and D infected animals treated with SGE 30 µg in the chronic phase