Skip to main content
Fig. 5 | Clinical Proteomics

Fig. 5

From: Longitudinal serum proteomics identifies inflammatory and metabolic pathways in hypertensive nephrosclerosis progression

Fig. 5

Network and expression profiles of kidney proteins for progressor baseline (PBL) vs. progressor follow-up (PF). A Protein–protein interactions of significantly abundant kidney proteins in PBL vs. PF (n = 72 nodes, n absolute logFC > 0.5 = 26). Nodes represent individual proteins, and edges represent protein–protein interactions. Proteins with increased abundance are displayed with red rims, whereas blue rims represent decreased abundance. Proteins predicted to be secreted (n = 3) are highlighted as pink nodes, whereas proteins with transcription factor activity (n = 1) are represented as purple squares. Significantly expressed kidney proteins (p < 0.05) with absolute log2 FC < 0.5 are represented as grey nodes. The graph was generated via the Fruchterman-Reingold algorithm. Nodes with fewer than three interactions, or isolated nodes were removed from the network. B Density plots depicting significant proteins (p-value < 0.05) expressed in renal compartments: proximal tubules, distal tubules, collecting ducts, cells in tubules, cells in glomeruli, and Bowman’s capsule. The distribution of log2 FC expression values for DEPs within the respective compartments is shown. Proteins expressed in multiple renal compartments are depicted as circles, whereas single-compartment proteins are depicted as triangles. C Boxplots showing the log2 abundance levels for selected markers CYSC, ENO1, MPST and PDCD1LG2

Back to article page