“…To further reveal the mechanism of interactions between intersectional target proteins, overlapping genes corresponding to each disease were identified and imported into the STRING website for the construction of PPI networks (Figures 4A, 5A, 6A, and 7A) and network analysis. Based on the degree value, 24,28,31 for the treatment of CG with CSF, the targets with the top 10 connectivity ranks were PIK3CA, STAT3, SRC, MAPK1, TP53, MAPK8, AKT1, VEGFA, TNF, and PTGS2, indicating that they played a key role in the overall network. Similarly, for the treatment of FD, the top 10 targets were PIK3CA, PIK3R1, TP53, STAT3, AKT1, SRC, VEGFA, PTGS2, ESR1, and TNF; the top 10 targets for the treatment of PU were STAT3, PIK3CA, MAPK1, EGFR, VEGFA, HRAS, TP53, AKT1, TNF, and PTGS2; and those for depression were MAKP1, STAT3, HSP90AA1, ESR1, AKT1, PTGS2, APP, VEGFA, MAPK14, and ESR1.…”