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基于高效液相色谱药效指纹图谱的参麦注射液质量监测

Quality monitoring of Shenmai injection by HPLC pharmacodynamic fingerprinting.

作者信息

Yang Geng, Li Shuai, Sun Xiaoyi, Lv Yuanyuan, Huang Hongxia

机构信息

School of Medicine, Hangzhou City University, Hangzhou, 310015, China.

Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, 310007, China.

出版信息

BMC Chem. 2023 Mar 25;17(1):28. doi: 10.1186/s13065-023-00920-7.

Abstract

A probable problem of disconnection between chemical fingerprints and drug effects for TCMs would be contrary to the original intention of fingerprint research, and limits the development and application of fingerprints. In this study, Shenmai injection, as a treatment dosage form of coronary heart disease, shock, and viral myocarditis clinically, was applied as the research object. The fingerprint of Shenmai injection was constructed, and the pharmacodynamic test of antioxidant effect was carried out to obtain quantitative characteristics and pharmacodynamic data. On this basis, a monitoring model based on the HPLC pharmacodynamic fingerprint was established to evaluate the quality of Shenmai injections from different batches and different manufacturers. Results showed that the optimized HPLC method had good repeatability, precision, and stability. A total of 28 characteristic peaks were identified to provide more chemical information. Furthermore, 13 ginsenosides and notoginsenoside have been selected as characteristic components of LC/MS fingerprint method. 8 peaks closely related to antioxidant properties by multiple linear regression method, which were identified as Rg1, Re, Rf, Rb1, and some other ginsenosides using MS analysis. The monitoring model based on HPLC pharmacodynamic fingerprint could successfully identify quality differences for Shenmai injections. Based on the case study of Shenmai injection, the novel and practical fingerprint analytical strategy could be further applied to monitor or predict the quality of TCMs.

摘要

中药化学指纹图谱与药物效应之间可能存在的脱节问题,将有悖于指纹图谱研究的初衷,并限制指纹图谱的发展与应用。在本研究中,参麦注射液作为临床上用于治疗冠心病、休克及病毒性心肌炎的一种剂型,被用作研究对象。构建了参麦注射液的指纹图谱,并进行了抗氧化作用的药效学试验,以获取定量特征和药效学数据。在此基础上,建立了基于高效液相色谱(HPLC)药效指纹图谱的监测模型,以评价不同批次、不同厂家参麦注射液的质量。结果表明,优化后的HPLC方法具有良好的重复性、精密度和稳定性。共鉴定出28个特征峰,提供了更多的化学信息。此外,已选择13种人参皂苷和三七皂苷作为液相色谱/质谱(LC/MS)指纹图谱法的特征成分。通过多元线性回归法确定了8个与抗氧化性能密切相关的峰,并利用质谱分析将其鉴定为Rg1、Re、Rf、Rb1及其他一些人参皂苷。基于HPLC药效指纹图谱的监测模型能够成功识别参麦注射液的质量差异。基于参麦注射液的案例研究,这种新颖实用的指纹图谱分析策略可进一步应用于中药质量的监测或预测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e2d4/10040106/ea1dbbabdede/13065_2023_920_Fig1_HTML.jpg

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