A comprehensive quality evaluation of Fuzi and its processed product through integration of UPLC-QTOF/MS combined MS/MS-based mass spectral molecular networking with multivariate statistical analysis and HPLC-MS/MS

被引:52
作者
Lei, Huibo [1 ]
Zhang, Yuhao [1 ]
Ye, Ji [2 ]
Cheng, Taofang [3 ]
Liang, Yanlin [4 ]
Zu, Xianpeng [2 ]
Zhang, Weidong [1 ,2 ,3 ]
机构
[1] Shanghai Univ Tradit Chinese Med, Inst Interdisciplinary Med Sci, 1200 Cai Lun Rd, Shanghai 201203, Peoples R China
[2] Second Mil Med Univ, Sch Pharm, Shanghai 200433, Peoples R China
[3] Shanghai Jiao Tong Univ, Sch Pharm, Shanghai 200240, Peoples R China
[4] Guangyuyuan Chinese Med Co Ltd, Jinzhong 030800, Shanxi, Peoples R China
关键词
Chemical constituent; Chemical marker; Raw and processed; UPLC-QTOF/MS; GNPS; Molecular networking; Multivariate statistical analysis; HPLC-MS/MS; SPECTROMETRY;
D O I
10.1016/j.jep.2020.113455
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Ethnopharmacological relevance: Aconiti Lateralis Radix Praeparata (the Chinese name is Fuzi, FZ), the lateral or daughter root of Aconitum carmichaelii Debx. (Ranunculaceae), is a controversial traditional Chinese medicine (TCM) that is universally distributed and applied in many countries, such as China, Japan, Korea, and India. FZ can be used to treat various diseases, including rheumatic fever, rheumatism, painful joints, syncope, collapse, bronchial asthma, some endocrinal disorders, etc. However, quality control and assessment of FZ are challenging due to its obvious and high toxicological risks, and only its processed products are allowed to be used clinically according to the relative safety regulations. Consequently, it is necessary to analyze the whole chemical composition and the dynamic changes of FZ before and after processing. Addressing the changes in the chemical substance of raw and processed products is a way to reduce toxicity. Aim of the study: In this article, the whole chemical composition of FZ is analyzed, the differences between raw and processed FZ are evaluated, and possible factors that influence the reduced toxicity of processed FZ are explained from the perspective of its chemical composition using qualitative and quantitative analysis methods. Materials and methods: A novel strategy of multiple data collection and processing based on ultra-performance liquid chromatography coupled with a quadrupole time-of-flight mass spectrometry (UPLC-QTOF/MS) method in the positive ion mode, together with Global Natural Product Social Molecular Networking (GNPS) and multivariate statistical analysis, was established to systematically identify the chemical constituents of FZ and comprehensively investigate the chemical markers that can be used to differentiate FZ processed with vinegar and honey from its raw product. Combined with the qualitative analysis results, 12 components, including 8 chemical marker compounds and 4 toxicity components, were quantitatively analyzed by using high-performance liquid chromatography equipped with triple-quadrupole mass spectrometry (HPLC-MS/MS). Results: Using the molecular networking (MN) analysis method, a total of 145 compounds were identified, of which 13 were identified using reference compounds. Seventy seven chemical markers were also detected between raw and processed FZ. The identification results of the chemical markers were also verified by orthogonal partial least squares discriminant analysis (OPLS-DA). The quantitative results indicated that the contents of 12 important components all decreased, especially diester-diterpenoid alkaloids (DDAs), after processing. Conclusion: The decrease of toxicity of FZ after processing is closely related to the changes in its chemical composition. The method developed in this study is a comprehensive analysis technique for quality assessment of FZ, and this study provides a useful and quick strategy to characterize chemical compounds of TCM and explore the different chemical markers between raw and processed Chinese herbal medicine.
引用
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页数:15
相关论文
共 57 条
  • [1] [Anonymous], 2014, EVID BASED COMPLEMEN
  • [2] Avella, 2019, JOVE-J VIS EXP, P1
  • [3] Integrated artificial neural network analysis and functional cell based affinity mass spectrometry for screening a bifunctional activator of Ca2+ and β2AR in aconite
    Chang, Nianwei
    Gao, Jie
    Niu, Lin
    Hou, Yuanyuan
    Wang, Xiaoying
    Jiang, Min
    Bai, Gang
    [J]. JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS, 2020, 190
  • [4] Simultaneous use of traditional Chinese medicine (Si-Ni-Tang) to treat septic shock patients: study protocol for a randomized controlled trial
    Chen, Huang-Chi
    Chen, Wen-Chi
    Lin, Kai-Huang
    Chen, Yung-Hsiang
    Lo, Lun-Chien
    Lee, Tsung-Chieh
    Hsia, Te-Chun
    Wang, Chu-Hsien
    Wu, Shin-Hwar
    Hsu, Hsin-Whae
    Chang, Yu-Jun
    Huang, Yu-Chuen
    Ku, Tien-Hsiung
    Horng, Ming-Hwarng
    [J]. TRIALS, 2011, 12
  • [5] A Comprehensive and Rapid Quality Evaluation Method of Traditional Chinese Medicine Decoction by Integrating UPLC-QTOF-MS and UFLC-QQQ-MS and Its Application
    Chen, Yinfang
    Yu, Riyue
    Jiang, Li
    Zhang, Qiyun
    Li, Bingtao
    Liu, Hongning
    Xu, Guoliang
    [J]. MOLECULES, 2019, 24 (02)
  • [6] Cheng T.F., 2020, J PHARMACEUT BIOMED, P1
  • [7] Committee for the flora of China of Chinese Academy of Sciences, 2004, FLOR CHIN
  • [8] Committee for the pharmacopoeia of China, 2015, PHARMACOPOEIA CHINA
  • [9] Diterpenoid alkaloids as a new class of antiarrhythmic agents. Structure-activity relationship
    Dzhakhangirov F.N.
    Sultankhodzhaev M.N.
    Tashkhodzhaev B.
    Salimov B.T.
    [J]. Chemistry of Natural Compounds, 1997, 33 (2) : 190 - 202
  • [10] Data acquisition workflows in liquid chromatography coupled to high resolution mass spectrometry-based metabolomics: Where do we stand?
    Fenaille, Francois
    Saint-Hilaire, Pierre Barbier
    Rousseau, Kathleen
    Junot, Christophe
    [J]. JOURNAL OF CHROMATOGRAPHY A, 2017, 1526 : 1 - 12