Deciphering bioactive compounds of complex natural products by tandem mass spectral molecular networking combined with an aggregation-induced emission based probe

摘要

Natural products are great treasure troves for the discovery of bioactive components. Current bioassay guided fractionation for identification of bioactive components is time- and workload-consuming. In this study, we proposed a robust and convenient strategy for deciphering the bioactive profile of natural products by mass spectral molecular networking combined with rapid bioassay. As a proof-of-concept, the strategy was applied to identify angiotensin converting enzyme (ACE) inhibitors of Fangjihuangqi decoction (FJHQD), a traditional medicine clinically used for the treatment of heart failure. The chemical profile of FJHQD was comprehensively revealed with the assistance of tandem mass spectral molecular networking, and a total of 165 compounds were identified. With characterized constituents, potential clinical applications of FJHQD were predicted by Bioinformatics Analysis Tool for Molecular mechANism of Traditional Chinese Medicine, and a range of cardiovascular related diseases were significantly enriched. ACE inhibitory activities of FJHQD and its constituents were then investigated with an aggregation-induced emission based fluorescent probe. FJHQD exhibited excellent ACE inhibitory effects, and a bioactive molecular network was established to elucidate the ACE inhibitory profile of constituents in FJHQD. This bioactive molecular network provided a panoramic view of FJHQD's ACE inhibitory activities, which demonstrated that flavones from Astragali Radix and Glycyrrhizae Radix et Rhizoma, saponins from Astragali Radix, and sesquiterpenoids from Atractylodis Macrocephalae Rhizoma were principal components responsible for this effect of FJHQD. Among them, four novel ACE inhibitors were the first to be reported. Our study indicated that the proposed strategy offers a useful approach to uncover the bioactive profile of traditional medicines and provides a pragmatic workflow for exploring bioactive components.