Abstract
Astragali Complanati, known in Chinese as Shayuanzi, is a common medicinal material in traditional Chinese medicine, mainly used for tonifying the kidney, supporting yang, consolidating essence, reducing urine and other diseases. The UPLC fingerprint of Astragali Complanati Semen (ACS) was established, and the Q-markers of ACS were analyzed by network pharmacology. First, the UPLC fingerprint detection method was established for ACS, and the common peaks were identified by UPLC-MS/MS. The "component-target-pathway" network relationships of characteristic components of ACS were constructed by network pharmacology, and the potential Q-markers were predicted. A total of 24 common peaks were identified from the UPLC fingerprint of ACS, and 12 chromatographic peaks were identified by UPLC-MS/MS. A total of 12 Q-markers candidate components were screened out. Through network pharmacological analysis, it is predicted that myricetin 3-O-β-D-xylopyranosyl-(1-2)-[α-L-rhamnopyranosyl-(1-6)]-β-D-glucopyranoside, myricetin 3-O-β-D-xylopyranosyl(1-2)-β-D-glucopyranoside, myricetin 3-β-D-glucopyranoside, cannabiscitrin, laricitrin-3-O-glucoside, leucoside, complanatoside B, complanatuside, complanatuside 6''-malonate, clycosin, rhamnocitrin 3-O-β-D-apiofuranosyl(1→2)-β-D-glucopyranoside and 3-O-[5'''-O-feruloyl-beta-D-apiofuranosyl(1'''->2'')-beta-D-glucopyranosyl] rhamnocitrin are the Q-markers of ACS. The method established in this study was accurate, reliable, simple and practical and could be used as a reference method for ACS quality detection. Twelve Q-markers selected by network pharmacology could provide support and references for ACS quality control.
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