[Quality markers prediction of Xuebijing Injection based on fingerprint, network pharmacology and content determination]

Abstract

This study aimed to provide scientific evidence for predicting quality markers(Q-markers) of Xuebijing Injection by establishing high-performance liquid chromatography(HPLC) fingerprints of 25 batches of Xuebijing Injection and determining the contents of 9 major components, as well as conducting network pharmacology research. Thirty common peaks were identified by fingerprints of 25 batches of Xuebijing Injection samples, and 12 chromatographic peaks were determined, with similarity ranging from 0.970 to 0.999. Principal component analysis(PCA) showed that the cumulative variance contribution rate of the 12 principal components was 95.83%, and orthogonal partial least squares-discriminant analysis(OPLS-DA) revealed that 10 components variable importance projection(VIP) values were greater than 1. Network pharmacology analysis indicated that tryptophan, senkyunolide Ⅰ, hydroxysafflor yellow A, gallic acid, ferulic acid, protocatechuic aldehyde, rosmarinic acid, kaempferol-3-O-glucoside and neochlorogenic acid may be potential Q-markers of Xuebijing Injection. The contents of the above 9 index components were determined in 25 batches of Xuebijing Injection samples by HPLC. Six compounds including hydroxysafflor yellow A, kaempferol-3-O-glucoside, senkyunolide Ⅰ, ferulic acid, rosmarinic acid, and protocatechuic aldehyde were used as Q-markers for Xuebijing Injection through five aspects of measurability, effectiveness, compatibility, specificity and content determination.

Keywords: Xuebijing Injection; content determination; fingerprint; network pharmacology; quality marker.