Comprehensive identification of key quality markers of Buzhong Yiqi Oral Liquid based on multi-dimensional characteristic networks

钥匙(锁) 鉴定(生物学) 计算机科学 色谱法 计算生物学 生物系统 人工智能 化学 生物 植物 计算机安全
作者
Jieqiang Zhu,Weiwei Jin,Hongxu Zhang,Jie Shi,Ziyue Zhao,Yigang Lai,Jizhong Yan,Hui Zhang
出处
期刊:Journal of Liquid Chromatography & Related Technologies [Taylor & Francis]
卷期号:47 (16-20): 327-339 被引量:2
标识
DOI:10.1080/10826076.2024.2380435
摘要

Traditional Chinese Medicine (TCM) formulations often contain a complex mixture of compounds, making it challenging to evaluate their quality. Buzhong Yiqi Oral Liquid (BYOL), a well-known TCM formulation, has been used to treat gastrointestinal diseases and fatigue for a long time. However, the effective substances for its therapeutic effects remain unclear. This study aimed to establish a novel quality control approach for BYOL using a multidimensional feature network to identify quality markers (Q-markers). The multidimensional characteristic network was constructed by a "Spider-Web" model, including the compatibility of ingredients, traceability of compounds from raw materials to the final product, effectiveness, measurability, and stability. Multivariate statistical analysis was applied to quantify the individual dimensions of the feature network, and candidate compounds were identified based on regression regions within the network. Using the multidimensional characteristic network, 12 components were identified as key Q-markers for BYOL, consisting of calycosin-7-O-β-D-glucoside, formononetin, astragaloside IV, liquiritin, quercetin, hesperidin, glycyrrhizic acid, isorhamnetin, liquiritin apioside, hesperidin, luteolin, and nobiletin. The identified Q-markers offered valuable insights for future research on medicinal substances and quality control of BYOL.
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