ABSTRACT
Dengzhan Shengmai capsule, as a compound Chinese patent medicine, consists of four herbs: Herba Erigerontis, Ginseng, Ophiopogon, and Schisandrae Chinensis Fructus, and contains significant components of flavonoids, lignans, saponins, and organic acids. It is widely used clinically to treat cerebrovascular diseases such as chronic cerebral hypoperfusion and dementia with remarkable efficacy. This study proposes a research strategy for multi-component traditional Chinese medicine metabolites based on prediction databases and unfolds the analysis using Dengzhan Shengmai capsule as an example. Using the UPLC-Q-TOF/MS method, the analytical method was established and detected biological samples such as urine, feces, and bile of rats before and after administration based on the prediction of theoretical metabolites of Dengzhan Shengmai capsule. The possible secondary fragment ion information of metabolites was identified by comparing the detected results with prediction databases. The metabolites were identified based on the archetypal component mass spectrometric cleavage law and multistage mass spectrometric data. 51 metabolites, mainly flavonoid, organic acid, and lignan constituents, were finally identified from rat biosamples based on 306 theoretical metabolites of Dengzhan Shengmai capsule. This study provides a new strategy for the identification of metabolites in vivo and the analysis of metabolic pathways of TCM. The study complied with the procedures established by the Animal Experiment Ethics Committee of the Institute of Materia Medica, Chinese Academy of Medical Sciences and passed the animal experiment ethics examine (No. 00003645).