Biomarker networks triggered by distinct immunization protocols.

<p>Network correlation analysis were assembled for pro-inflammatory and regulatory cytokines measured in supernatants from PBMCs cultures maintained upon vaccine-soluble antigen (VSA) or soluble <i>Leishmania chagasi</i> antigen (SLcA) stimuli <i>in vitro</i>. Data were analyzed at baseline before vaccination (T₀), 15 days after third immunization dose (T_3rd) as well as early (90 days—T₉₀) and late (885 days—T₈₈₅) after experimental <i>L</i>. <i>chagasi</i>-challenge. The groups are represented as follows: C (“Control”; white nodes); “Sal” (<i>Lutzomyia longipalpis</i> salivary glands; light gray nodes); “LbSal” (<i>L</i>. <i>braziliensis</i> antigen plus <i>Lutzomyia longipalpis</i> salivary glands; dark gray nodes) and “LbSapSal” (<i>L</i>. <i>braziliensis</i> antigen plus saponin and <i>Lutzomyia longipalpis</i> salivary glands; black nodes). Each connecting line represents a significant correlation between a pair of biomarkers. Dashed linesrepresent negative correlations. Solid lines represent positive correlations, and the degree of significance is represented by the line thickness [moderate correlation (continuous thin lines) for 0.370.67 or strong correlation (continuous thick lines) for r>0.68]. Spearman r indexes are used to classify the connecting edges as negative, moderate, or strong positive correlations, as shown.