基于UPLC-Q-TOF-MS/MS和网络药理学的半夏炮制前后差异性物质基础及功效分析

Analysis of the Material Basis and Efficacy of the Differences in the Preparation of Pinellia Ternate before and after Concoction Based on UPLC-Q-TOF-MS/MS and Network Pharmacology

  • 摘要:
      目的   基于超高效液相色谱-四极杆-飞行时间质谱(UPLC-Q-TOF-MS/MS)和多变量统计分析, 筛选并鉴定半夏及其不同炮制品的差异性物质基础, 并针对共有及差异性物质基础进行网络药理学分析, 挖掘半夏炮制前后物质基础与功效变化的关系。
      方法   采用UPLC-Q-TOF-MS/MS检测半夏及其炮制品共42批样品的主要物质基础并筛选差异性成分, 运用正交偏最小二乘判别分析(OPLS-DA), 以VIP>1.5、P<0.01、FC>2或<0.5为筛选标准, 通过数据库配对、文献比对鉴定得到差异性成分。进一步通过TCMIP数据库对差异性物质基础检索靶点, 对靶点进行蛋白互作分析, 最后通过GO富集和KEGG富集分析其代谢通路。
      结果   生半夏与法半夏有14个差异性成分, 与生半夏相比, 法半夏含量升高的成分主要有甘草酸、甘草次酸、甘草素等, 含量降低的成分主要为酰胺类。生半夏与姜半夏有18个差异性成分, 主要为核苷类、黄酮类、氨基酸类。鸟苷、黄嘌呤及酪氨酸等含量降低, 磷酸腺苷含量升高。生半夏与清半夏有18个差异性成分, 清半夏中多种成分相对含量均降低, 如鞘氨醇。得到生半夏67个核心靶点,法半夏45个核心靶点,姜半夏38个核心靶点。
      结论   建立的UPLC-Q-TOF-MS/MS方法能够较好地分离鉴定半夏中的化学成分, 结合多变量统计分析和网络药理学, 分析半夏及其炮制品的物质基础及潜在作用机制, 可为研究作用靶点提供思路, 为半夏及其炮制品的临床合理应用提供数据支持。

     

    Abstract:
      OBJECTIVE   To screen and identify the differential substance bases of Pinellia ternate and its different concoctions, conduct network pharmacological analysis on the common and differential substance bases, and explore the relationship between the substance bases and the changes in the efficacy of Pinellia ternate before and after concoction based on the UPLC-Q-TOF-MS/MS and multivariate statistical analysis.
      METHODS   The main substance bases of 42 batches of samples were examined by UPLC-Q-TOF-MS/MS, and the differential components were screened by orthogonal partial least squares discriminant analysis (OPLS-DA) with VIP>1.5, P < 0.01 and FC>2 or < 0.5 as the screening criteria. The targets were further retrieved from the TCMIP database, and their protein interactions were analysed by GO enrichment and KEGG enrichment to visualise the "herbal-component-target-pathway" map.
      RESULTS   Compared with Pinellia ternate, Pinelliae Rhizoma Praeparatum has 14 different components, mainly glycyrrhetinic acid, glycyrrhizic acid and glycyrrhizin, etc. The components with reduced content were mainly amides. There were 18 differential constituents between raw and ginger, mainly nucleosides, flavonoids and amino acids. The content of guanosine, xanthine and tyrosine was reduced, while the content of adenosine monophosphate was increased. There were 18 differential components between raw and Pinelliae Rhizoma Praeparatum Cum Alumine, and the relative content of many components in Pinelliae Rhizoma Praeparatum Cum Alumine was reduced, such as sphingomyelin. Further, the TCMIP database was used to retrieve targets from the differential substance base, and protein interaction analysis was performed on the targets, resulting in 67 core targets for Pinellia ternate, 45 core targets for Pinelliae Rhizoma Praeparatum, and 38 core targets for Pinelliae Rhizoma Praeparatum cum Zingibere Et Alumine. Finally, the metabolic pathways were analyzed by GO enrichment and KEGG enrichment.
      CONCLUSION   The UPLC-Q-TOF-MS/MS method established in this experiment can better isolate and identify the chemical components in Pinellia ternate. Combined with multivariate statistical analysis and network pharmacology, the material basis and potential mechanism of action of Pinellia ternate and its concoction products can provide ideas for the study of the action targets and provide data support for the rational clinical application of Pinellia ternate and its concoction products.

     

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