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基于超高效液相色谱-四极杆飞行时间串联质谱联用技术及网络药理学的竹茹汤化学成分鉴定

[Identification of chemical components based on UPLC-Q-TOF-MS/MS and network pharmacology of Zhuru Decoction].

作者信息

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

机构信息

School of Pharmacy, Nanjing University of traditional Chinese medicine Nanjing 210023, China.

Shenwei Pharmaceutical Group Co., Ltd. Shijiazhuang 051430, China.

出版信息

Zhongguo Zhong Yao Za Zhi. 2022 Oct;47(19):5235-5245. doi: 10.19540/j.cnki.cjcmm.20210401.302.

Abstract

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.

摘要

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。

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