“…By gene network function and molecular integration analyses, we classified the DEPs into the following 10 clusters: AD, platelet activation, neutrophil degranulation, VEGFA-VEGFR2 signaling pathway, EGF/EGFR signaling pathway, lipid metabolism pathway, fatty acid biosynthesis, glucagon signaling pathway, MAPK signaling pathway, and IL-18 signaling pathway (Figure 5, red represents increased, blue represents decreased, and the inner and outer circles represent platelets and TC brain regions), all of which were closely related to neurological diseases including AD. [21][22][23][24][25][26] We also observed that the AD-related molecules, including ADAM10, PPP3CB, RTN4, BAX, ITPR1, ITPR2, NDUFA13, FADD, RELA, TRAF2 and MAP4K2, SOS1, and ERBIN, were the most significantly enriched nodes (Figure 5). ADAM10 showed the highest connectivity in the whole pathway and a decreased consistency in the Together, the comprehensive integrative analysis of platelet and brain omics data demonstrated that the molecular changes in platelet can well reflect the pathological mechanism of the brain in AD patients, which provides high-confidence platelet targets for future large-scale validation in AD-related population (Figure 5), highlighting the key regulator role of HMOX2 and SERPINA3 in AD, as well as the potential diagnostic value of RTN1 and IDH3B.…”