Qiu Ziying, Zhao Xiaoran, Liu Meiqi, Liu Yanan, Sun Lili, Ren Xiaoliang, Deng Yanru
School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
Comb Chem High Throughput Screen. 2023;26(7):1375-1384. doi: 10.2174/1386207325666220822102014.
Panax Japonicus (PJ) is a widely used Chinese herbal medicine, functional food and tonic. However, its origin has a great influence on the quality of PJ, and with the increasing demand for PJ, fake and inferior products, such as Panax Stipuleanatus (PS), often appear. The identification of the origin and authenticity of PJ is critical for ensuring the quality, safety and effectiveness of drugs.
Proposing a strategy to identify the origin, authenticity, and quality of PJ using HPLC fingerprints, chemometrics, and network pharmacology.
The chromatographic fingerprint method was established to analyze the origin and authenticity of PJ. Multiple chemometric methods were performed to analyze the fingerprints, including a Hierarchical Cluster Analysis (HCA), Principal Component Analysis (PCA), and Counter Propagation Artificial Neural Network (CP-ANN). Finally, the network pharmacology method was used to construct the "active ingredient-target" network, predict and assist in analyzing potential Qmarkers in PJ.
Ward's method was used for the HCA. The results showed that PJ samples from different origins had significant regional differences and could be accurately distinguished from PS. The PCA classification results are consistent with the HCA classification results, further illustrating the model's accuracy. The CP-ANN model can analyze and predict PJ and PS and accurately obtain PJ and PS chemical markers to identify PJ and PS correctly. The network pharmacology of PJ was constructed, and three PJ Q-markers, namely, ginsenoside Ro, ginsenoside Rb1, and chikusetsu saponin Ⅳa, were identified, which lays a foundation for the establishment of PJ quality standards.
This research provides a feasible platform for the quality evaluation of PJ in the future.
竹节参是一种广泛应用的中药材、功能性食品和滋补品。然而,其产地对竹节参的品质有很大影响,且随着对竹节参需求的增加,常出现伪品和劣品,如珠子参。竹节参产地及真伪的鉴定对于确保药品质量、安全性和有效性至关重要。
提出一种利用高效液相色谱指纹图谱、化学计量学和网络药理学鉴定竹节参产地、真伪及品质的策略。
建立色谱指纹图谱法分析竹节参的产地和真伪。采用多种化学计量学方法分析指纹图谱,包括层次聚类分析(HCA)、主成分分析(PCA)和反向传播人工神经网络(CP-ANN)。最后,利用网络药理学方法构建“活性成分-靶点”网络,预测并辅助分析竹节参潜在的质量标志物。
HCA采用Ward法。结果表明,不同产地的竹节参样品存在显著的区域差异,且能与珠子参准确区分。PCA分类结果与HCA分类结果一致,进一步说明了模型的准确性。CP-ANN模型能够分析和预测竹节参与珠子参,并准确获得竹节参和珠子参的化学标志物以正确鉴别二者。构建了竹节参的网络药理学,鉴定出3个竹节参质量标志物,即人参皂苷Ro、人参皂苷Rb1和竹节人参皂苷Ⅳa,为竹节参质量标准的建立奠定了基础。
本研究为未来竹节参的质量评价提供了一个可行的平台。