A network-based analysis of key pharmacological pathways of Andrographis paniculata acting on Alzheimer's disease and experimental validation

Andrographis paniculata (AP) is a native plant with anti-inflammatory and antioxidant properties and used as an official herbal medicine. Recently more and more researches have indicated that AP shows pharmacological effects on Alzheimer's disease (AD) but its mechanism is unclear. Aims of the study: Network pharmacology approach combined with experimental validation was developed to reveal the underlying molecular mechanisms of AP in treating AD. The compounds of AP from TCM database, the AD-related targets from disease database and the targets corresponding to compounds from swissTargetPrediction were collected. Then DAVID database was used for annotation and enrichment pathways, meanwhile the compound-target, protein-protein interaction from String database and compound-target-pathway network was constructed, molecular modeling was performed using Sybyl-x. Okadaic acid (OKA)-induced cytotoxicity model in PC12 cells was established to verify the mechanism of AP and the key proteins were detected by western blotting. 28 AP components were identified after ADME filter analysis and 52 targets were gained via mapping predicted targets into AD-related proteins. In addition, after multiple network analysis, the 22 hub target genes were enriched onto pathways involved in AD, such as neuroactive ligand–receptor interaction, serotonergic synapse, Alzheimer's disease, PI3K-Akt and NF-kB signaling pathway. Interestingly, molecular docking simulation revealed that the targets including PTGS2, BACE1, GSK3B and IKBKB had good ability to combine with AP components. Experimental validation in an in vitro system proved that AP treatment obviously increased in levels inactive of p-GSK3β (P