Fig. 1

Identification of inflammatory score-associated genes through weighted gene co-expression network analysis (WGCNA). A. Spearman correlation scatterplot showing the relationship between the inflammatory score and mean pulmonary artery pressure (mPAP), with a positive correlation indicated (R = 0.42, p = 0.03). B. Spearman correlation scatterplot of the inflammatory score against pulmonary vascular resistance (PVR), also depicting a positive correlation (R = 0.46, p = 0.02). C. Analysis of network topology for various soft-thresholding powers to ensure a scale-free network; the left panel illustrates the scale-free fit index (y-axis) as a function of the soft-thresholding power (x-axis), while the right panel displays the mean connectivity (degree of gene co-expression) as a function of the soft-thresholding power. D. Dendrogram generated from the hierarchical clustering of gene modules identified by WGCNA, with module colors below the dendrogram indicating gene clustering. Grey modules signify genes that could not be clustered into any of the modules. E. Heatmap displaying module-trait relationships, with color intensity reflecting the degree of correlation (red for positive, blue for negative). Each row represents a gene module designated by color, and each column represents a clinical trait. The green gene module had the highest correlation with the inflammation score, with a correlation coefficient of 0.69