Sickle Cell Anemia Patients Display an Intricate Cellular and Serum Biomarker Network Highlighted by TCD4+CD69+ Lymphocytes, IL-17/MIP-1β, IL-12/VEGF, and IL-10/IP-10 Axis

Figure 8

Cell phenotype networks in patients with sickle cell anemia according to laboratorial and clinical records. The SCA patients were categorized according to their laboratorial and clinical records, including reticulocyte counts (RET), platelet levels (PLT), and death risk scores. Customized biomarker network layouts were assembled to identify the relevant association between innate and adaptive cell phenotypes for SCA patients with low (light gray nodes) or high (dark gray nodes) levels. Clinical and laboratorial records were assembled to identify the relevant association between innate and adaptive cells using the circular distribution of nodes. Significant Spearman’s correlations at were represented by connecting edges to highlight positive (strong (; thick continuous line), moderate (; not so thick continuous line), or weak (; thin continuous line)) and negative (strong (; thick dashed line), moderate (; not so thick dashed line), or weak (; thin dashed line)) as proposed by Taylor [30].