[Prediction of Q-markers of Astragali Radix based on network pharmacology and fingerprint].

ABSTRACT

Astragali Radix is one of the most commonly used medicinal materials. In recent years, its cultivated varieties and a variety of adulterants have flooded the market, which makes its quality uneven, and the development of quality control methods has become a research hotspot. Therefore, figuring out the quality markers of Astragali Radix is of great significance for its comprehensive evaluation. In this study, the fingerprints of 15 batches of Astragali Radix were established by HPLC, and the main components causing intergroup differences were screened out by PLS-DA. On the basis of literature review and network pharmacology analysis, the targets and pathways of active ingredients were obtained from SwissTargetPrediction, PubChem Compound and other databases, and then the "component-target-pathway" network was constructed with Cytoscape 3.7.1 for the prediction of potential quality markers. Twenty-eight common peaks were identified in the established fingerprint, and three differential components were selected as potential quality markers for Astragali Radix, which were astragaloside Ⅳ, calycosin-7-O-ß-D-glucoside and ononin. The proposed method based on HPLC fingerprint of Astragali Radix is convenient and feasible, facilitating the improvement in its quality control.