By intersecting data from WGCNA (3396 genes) and DEGs (8973 genes) with the 69 NETs-related genes, we identified 13 genes (Figure 4A): RIPK3, PADI4, ITGAM, FCAR, CYBB, SIGLEC14, S100A12, ALPL, DNASE1, G0S2, TLR7, SLC22A4, and MMP9. These 13 genes were then compared with the GSE65682 dataset, and they were found to be significant DEGs between the healthy and sepsis groups (Figures 4B–D). This evidence concerns the gene SLC22A4 and Sepsis.