Functional compounds rapid screening strategy for health food function-formula-component integrated quality control by syndrome correlation-network analysis

Abstract

For quality control improvement of medicine and food homology (MFH) health food, the concept of functional quality control and rapid screening strategy of functional compounds were proposed based on the dual identity characteristics. Taking Wuweisanqi Capsule as the research object, firstly, a modified method “syndrome correlation-network analysis” based on network pharmacology was used for analysis. Functions related targets were collected from common medical databases, while the clustering algorithm was used to extract the information of clinical records related to daily health care from traditional Chinese medicine (TCM) database to obtain the targets. The bioactive compounds and related targets were retrieved from the TCM Systems Pharmacology Database and Analysis Platform around the five materials included in formula. Protein-protein interaction (PPI) network and pathway enrichment analysis were performed on the intersection targets. According to the constructed formula material-compound-target-pathway network, the potential functional compounds were preliminarily identified. Secondly, key targets and compounds were analyzed by molecular docking to further screen functional compounds. Finally, combined with references, the screening and establishing determination methods of functional compounds containing total saponins, astragaloside IV, puerarin and schisandrin were finished. The rapid screening strategy adequately utilizes the advantage of TCM background for MFH health food and the effective extracting ability of massive data by the algorithm. It links three aspects of health food functions, formula materials and functional compounds, providing an efficient solution for the realization of function-formula-component integrated functional quality control, which has great application potential in health food industry.

Keywords

• Health food
• Quality control
• Network analysis
• Functional compounds