He Tian-Yu, Wang Lu, Li Lin, Su Lian-Lin, Xie Hui, Zhao Xiao-Li, Mao Jing, Guo Yong, Hou Jin-Cai, Mao Chun-Qin, Lu Tu-Lin, Mei Xi
School of Pharmacy, Nanjing University of traditional Chinese medicine Nanjing 210023, China.
Shenwei Pharmaceutical Group Co., Ltd. Shijiazhuang 051430, China.
Zhongguo Zhong Yao Za Zhi. 2022 Oct;47(19):5235-5245. doi: 10.19540/j.cnki.cjcmm.20210401.302.
This study analyzed the main chemical components of Zhuru Decoction via ultra-performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry(UPLC-Q-TOF-MS/MS), and then predicted the mechanism of Zhuru Decoction in clearing heat, resolving phlegm, detoxifying, and treating vomiting and alcohol-related vomiting caused by heat in stomach based on network pharmacology. The gradient elution was conducted in Agilent ZORBAX extend-C_(18) column(2.1 mm×100 mm, 1.8 μm) with the mobile phase of 0.1% formic acid aqueous solution(A)-acetonitrile(B) at a flow rate of 0.3 mL·min~(-1) and the column temperature of 35 ℃. The MS adopted the positive and negative ion mode of electrospray ionization(ESI), and the data were collected in the scanning range of m/z 100-1 500. A total of 98 compounds in Zhuru Decoction were identified via BATMAN, SYMMAP, TCMSP, and relevant literature, including 36 flavonoids, 7 triterpenoids, 8 gingerols, 20 organic acids, 5 amino acids, and 22 other compounds. On the basis of the available studies, 9 components were selected as index components, and the protein-protein interaction(PPI) network of the common targets was established with STRING 11.0. Finally, 10 core targets associated with the pharmacodynamic effect were screened out. This study established the UPLC-Q-TOF-MS/MS method for identifying the chemical components in the classic prescription Zhuru Decoction, and employed network pharmacology to explore the core targets of its efficacy, which provided a refe-rence for the quality control and the research of the pharmacodynamic substances of Zhuru Decoction.
本研究采用超高效液相色谱-四极杆飞行时间串联质谱联用技术(UPLC-Q-TOF-MS/MS)分析竹茹汤的主要化学成分,然后基于网络药理学预测竹茹汤清热、化痰、解毒以及治疗胃热呕吐和酒精相关性呕吐的作用机制。采用Agilent ZORBAX extend-C₁₈色谱柱(2.1 mm×100 mm,1.8 μm)进行梯度洗脱,流动相为0.1%甲酸水溶液(A)-乙腈(B),流速为0.3 mL·min⁻¹,柱温为35℃。质谱采用电喷雾电离(ESI)的正、负离子模式,在m/z 100 - 1500扫描范围内采集数据。通过BATMAN、SYMMAP、TCMSP及相关文献共鉴定出竹茹汤中的98种化合物,包括36种黄酮类、7种三萜类、8种姜辣素、20种有机酸、5种氨基酸和22种其他化合物。基于现有研究,选取9种成分作为指标成分,用STRING 11.0构建共同靶点的蛋白质-蛋白质相互作用(PPI)网络。最终筛选出10个与药效作用相关的核心靶点。本研究建立了UPLC-Q-TOF-MS/MS法用于鉴定经典方剂竹茹汤中的化学成分,并运用网络药理学探索其药效的核心靶点,为竹茹汤的质量控制和药效物质研究提供了参考。