Abstract
Huo-Tan-Chu-Shi Decoction (HTCSD), a traditional Chinese medicine (TCM) prescription within Guangdong Provincial TCM Hospital (the largest TCM hospital in China), is used for effective clinical treatment of coronary heart disease (CHD) caused by phlegm-dampness syndrome with high incidence in the hot and humid climate of Lingnan region. However, its chemical components responsible for the therapeutic effects remain unclear, which restricts its application and further development. Hence, a detailed workflow, combing with UHPLC-Q/TOF-MS, network pharmacology analysis and experimental verification, was proposed and applied to characterize the chemical profile and potential mechanism of HTCSD against CHD. As a result, a total of 130 components from all six composed herbal medicines were characterized in a rapid and sensitive manner through UHPLC-Q/TOF-MS, of which 33 compounds were unambiguously confirmed with reference standards. Consequently, based on the integrated pharmacology network of “herbs-chemicals-targets-pathways-therapeutic effects”, four chemicals (magnoflorine, menisperine, 13-hydroxyberberine, luteolin) with four CHD related targets (SRC, MAPK1, EGFR and AKT1) were considered as the key components and targets of HTCSD in the treatment of CHD. Furthermore, the effect of HTCSD was confirmed in animal experiments by enhancing the phosphorylation of MAPK, and the published literature and molecular binding results suggested that magnoflorine and luteolin tended to be the critical compounds involved in the process. Taken together, the characterization of chemical profile combined with network pharmacology analysis and experimental verification not only provided an efficient insight into the overall chemical profile of HTCSD but also revealed the potential pharmacological components and mechanisms of HTCSD against CHD, which laid a necessary chemical and biological basis for the discovery of in vivo bioactive components and the further revelation of functionary mechanism.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call