Fig. 6: Principal component analysis (PCA) biplot of protein expression profiles by clinical, biological, and technical variables.
From: Identifying septic shock subgroups to tailor fluid strategies through multi-omics integration
These dimension reduction plots present the results of a PCA on protein expression data, illustrating the variance in protein expression across different clinical, biological, and technical variables. The first two principal components, Dim1 and Dim2, account for 25.9% and 11.8% of the total variance, respectively (a). PCA Biplot colored by mortality status, highlighting the separation between Survivors (Y) and non-survivors (N). The projection of individual data points shows the distribution of samples along the principal components, with color intensity indicating the presence of mortality (b). PCA Biplot differentiated by site/hospital. Each site/hospital is represented by a distinct symbol, demonstrating the clustering and dispersion of samples based on their protein expression profiles (c). PCA Biplot colored by the SOFA score, a measure of organ dysfunction. The gradient from light to dark represents increasing SOFA scores, reflecting the severity of organ failure in the samples (d). Close-up view of the PCA biplot focusing on the individual variables (proteins) GAL, NFASC, MICB_MICA, MAP2K6, JCHAIN, and CSF3. The arrows represent the direction and magnitude of the contribution of each protein to the principal components. The angle and length of these arrows indicate the correlation of each protein with the principal components. The color gradient from blue to red on the visualization indicates escalating benefit scores, with blue representing lower scores and red indicating higher, positive values that suggest a beneficial response to restrictive fluid strategies. CSF3 colony-stimulating factor 3, GAL galanin, NFASC neurofascin, MICB_MICA MHC class I polypeptide-related sequence B and MICA, MAP2K6 mitogen-activated protein kinase kinase 6, JCHAIN joining chain of multimeric IgA and IgM, SOFA sequential organ failure assessment, PCA principal component analysis, Dim1 dimension 1, Dim2 dimension 2, N no, Y yes, BinZhou, ChangDe, GYEY, JinHua, PiDu, SSR, XiaMen, XiAn2fy, XMZSH, ZiGong, ZZCH site or hospital identifiers.
