基于网络药理学及定性定量研究的甘草质量标志物预测分析

目的基于中药质量标志物(Q-marker)的理念,对甘草从化学成分有效性和可测性的角度进行Q-marker的初步预测。方法基于文献整合及数据分析对甘草Q-marker的来源范围进行筛选,通过网络药理学进行成分有效性分析,采用高效液相色谱法对4个产地15批甘草药材进行定性和定量研究,运用模式识别方法筛选出造成组间差异的主要标志性成分,结合网络药理学结果进一步确定甘草的Q-marker。结果文献研究确定黄酮类和三萜类成分为甘草Q-marker的主要来源范围;网络药理学结果表明甘草苷、甘草酸等成分在"成分-靶点-通路"网络中具有高连接度,是其主要活性成分;建立15批甘草样品的指纹图谱,通过偏最小二乘法判别分析(PLS-DA)明确了甘草苷、芹糖甘草苷等5个成分为主要标志性成分;甘草苷、芹糖甘草苷、甘草酸、甘草次酸4个成分含量测定结果表明不同产地间成分含量具显著差异,结合网络药理学分析结果进一步明确了甘草苷、芹糖甘草苷、甘草酸、甘草次酸可作为甘草Q-marker。结论以黄酮类和三萜类成分作为甘草Q-marker的来源范围,通过网络药理学(有效性)结合多产地甘草药材定性定量(可测性)研究最终确定甘草苷、芹糖甘草苷、甘草酸和甘草次酸4个成分可作为甘草潜在Q-marker科学合理,为甘草的质量控制提供参考依据。

Predictive analysis of Q-marker of Glycyrrhizae Radix et Rhizoma based on network pharmacology combined with qualitative and quantitative research

Objective To make a preliminary prediction of the Q-marker of Glycyrrhizae Radix et Rhizoma from the perspective of the effectiveness and measurability of chemical components based on the concept of Q-marker of Chinese materia medica. Methods Based on literature integration and data analysis, the source range of Glycyrrhizae Radix et Rhizoma Q-marker was screened, and the effectiveness of the ingredients was analyzed through network pharmacology. Qualitative and quantitative analysis of 15 batches of Glycyrrhizae Radix et Rhizoma from four places of origin was performed by HPLC. The pattern recognition method was used to screen out the main marker components that caused the differences between groups, which were combined with network pharmacological results to further determine the Q-marker of Glycyrrhizae Radix et Rhizoma. Results Literature studies had determined that flavonoids and triterpenoids were the main source of Glycyrrhizae Radix et Rhizoma Q-marker; Network pharmacology results showed that liquiritin, glycyrrhizic acid and other components had high connectivity in the "component-target-pathway" network and were the main active components; The fingerprints of 15 batches of Glycyrrhizae Radix et Rhizoma samples were established, and five components, including liquiritin and liquiritin apioside, were identified as the main marker components by PLS-DA analysis; The content determination results of liquiritin, liquiritin apioside, glycyrrhizic acid and glycyrrhetinic acid showed that there were significant differences in the content of ingredients among different production areas. The qualitative and quantitative research on pharmacology combined with network pharmacology revealed that liquiritin, liquiritin apioside, glycyrrhizic acid and glycyrrhetinic acid can be used as Glycyrrhizae Radix et Rhizoma Q-marker. Conclusion Taking flavonoids and triterpenoids as the source of Q-marker for Glycyrrhizae Radix et Rhizoma, the qualitative and quantitative (measurability) study of Glycyrrhizae Radix et Rhizoma herbs from multiple producing areas combined with network pharmacology (effectiveness) revealed liquiritin, liquiritin apioside, glycyrrhizic acid and glycyrrhetinic acid as the potential Q-marker of Glycyrrhizae Radix et Rhizoma are scientific and reasonable, which provide reference for quality control of Glycyrrhizae Radix et Rhizoma.