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Qin Y, Fei C, Zhang W, Su L, Ji D, Bian Z, Wang M, Li Y, Mao C, Zhao X, Lu T. Based on UPLC/MS/MS and Bioinformatics Analysis to Explore the Difference Substances and Mechanism of Curcumae Radix (Curcuma wenyujin) in Dysmenorrhea. Chem Biodivers 2022; 19:e202200361. [PMID: 36017755 DOI: 10.1002/cbdv.202200361] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 08/24/2022] [Indexed: 11/09/2022]
Abstract
BACKGROUND Curcumae Radix (CW) is traditionally used to treat dysmenorrhea caused by uterine spasm. However, the changes of its composition and anti-uterine spasms during vinegar processing and the mechanism in treating dysmenorrhea are not clear. OBJECTIVE To elucidate the changes of anti-uterine spasm and its substance basis, and the mechanism of treating dysmenorrhea before and after vinegar processing. METHODS The uterine spasm contraction model was established, and the uterine activity and its inhibition rate were calculated to evaluate the differences. The main chemical constituents of CW were quickly analyzed by UPLC-Q-TOF-MS/MS technology, and the differences between them were explored by multivariate statistical analysis. Then, the regulatory network of "active ingredients-core targets-signal pathways" related to dysmenorrhea was constructed by using network pharmacology, and the combination between differential active components and targets was verified by molecular docking. RESULTS CW extract relaxed the isolated uterine by reducing the contractile tension, amplitude, and frequency. Compared with CW, the inhibitory effect of vinegar products was stronger, and the inhibition rate was 70.08 %. 39 compounds were identified from CW and 13 differential components were screened out (p<0.05). Network pharmacology screened 11 active components and 32 potential targets, involving 10 key pathways related to dysmenorrhea. The results of molecular docking showed that these differentially active components had good binding activity to target. CONCLUSION It was preliminarily revealed that CW could treat dysmenorrhea mainly through the regulation of inflammatory reaction, relaxing smooth muscle and endocrine by curcumenone, 13-hydroxygermacrone, (+)-cuparene, caryophyllene oxide, zederone, and isocurcumenol.
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Affiliation(s)
- Yuwen Qin
- College of Pharmacy, Nanjing University of Chinese Medicine, 138 Xianlin Rd, Nanjing, 210023, P. R. China
| | - Chenghao Fei
- College of Pharmacy, Nanjing University of Chinese Medicine, 138 Xianlin Rd, Nanjing, 210023, P. R. China
| | - Wei Zhang
- College of Pharmacy, Nanjing University of Chinese Medicine, 138 Xianlin Rd, Nanjing, 210023, P. R. China
- College of Pharmacy, Anhui University of Chinese Medicine, Anhui, 230012, P. R. China
| | - Lianlin Su
- College of Pharmacy, Nanjing University of Chinese Medicine, 138 Xianlin Rd, Nanjing, 210023, P. R. China
| | - De Ji
- College of Pharmacy, Nanjing University of Chinese Medicine, 138 Xianlin Rd, Nanjing, 210023, P. R. China
| | - Zhenhua Bian
- College of Pharmacy, Nanjing University of Chinese Medicine, 138 Xianlin Rd, Nanjing, 210023, P. R. China
- Department of Pharmacy, Wuxi Traditional Chinese Medicine Hospital Affiliated to Nanjing University of Chinese Medicine, Wuxi, 214071, P. R. China
| | - Meng Wang
- College of Pharmacy, Nanjing University of Chinese Medicine, 138 Xianlin Rd, Nanjing, 210023, P. R. China
| | - Yu Li
- College of Pharmacy, Nanjing University of Chinese Medicine, 138 Xianlin Rd, Nanjing, 210023, P. R. China
| | - Chunqin Mao
- College of Pharmacy, Nanjing University of Chinese Medicine, 138 Xianlin Rd, Nanjing, 210023, P. R. China
| | - Xiaoli Zhao
- College of Pharmacy, Nanjing University of Chinese Medicine, 138 Xianlin Rd, Nanjing, 210023, P. R. China
| | - Tulin Lu
- College of Pharmacy, Nanjing University of Chinese Medicine, 138 Xianlin Rd, Nanjing, 210023, P. R. China
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Comparative Investigation of the Differences in Chemical Compounds between Raw and Processed Mume Fructus Using Plant Metabolomics Combined with Chemometrics Methods. Molecules 2022; 27:molecules27196344. [PMID: 36234881 PMCID: PMC9572716 DOI: 10.3390/molecules27196344] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 09/03/2022] [Accepted: 09/21/2022] [Indexed: 11/24/2022] Open
Abstract
Mume Fructus is a well-known herbal medicine and food with a long history of processing and application. Different processing methods impact the intrinsic quality of Mume Fructus. Thus, it is of great significance to investigate the changes in chemical components during processing (i.e., raw compared to the pulp and charcoal forms). In this study, plant metabolomics methods based on mass spectrometry detection were established to analyze the chemical ingredients of Mume Fructus comprehensively. Chemometric strategies were combined to analyze the profile differences of Mume Fructus after different processing methods. The established strategy identified 98 volatile and 89 non-volatile compounds of Mume Fructus by gas chromatography-mass spectrometry (GC-MS) and ultra-high performance liquid chromatography coupled with quadrupole time of flight mass spectrometry (UHPLC-Q-TOF-MS/MS), respectively. Moreover, the orthogonal partial least squares discriminant analysis (OPLS-DA) indicated that raw Mume Fructus and the Mume Fructus pulp and charcoal were distributed in three regions. Subsequently, 19 volatile and 16 non-volatile components were selected as potential chemical component markers with variable importance in the projection using (VIP) >1 as the criterion, and the accuracy was verified by a Back Propagation Neural Network (BP-NN). To further understand the difference in the content of Mume Fructus before and after processing, 16 non-volatile chemical component markers were quantitatively determined by ultra-high performance liquid chromatography-mass spectrometry (UHPLC-MS/MS). The results revealed that, compared with raw Mume Fructus, the total content of 16 components in the pulp of Mume Fructus increased while it decreased in the charcoal. Therefore, this study used GC-MS, UHPLC-Q-TOF-MS/MS and UHPLC-MS/MS modern technology to analyze the differences in chemical components before and after the processing of Mume Fructus and provided a material basis for further research on the quality evaluation and efficacy of Mume Fructus.
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He ZH, Liu M, Ren JX, Ouyang DW. Structural Characterization of Chemical Compounds Based on Their Fragmentation Rules in Sophorae Fructus by UPLC-QTOF-MS/MS. PHARMACEUTICAL FRONTS 2022. [DOI: 10.1055/s-0042-1751315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/15/2022] Open
Abstract
This study aims to identify the chemical components in Sophorae Fructus, and explore the mass spectrometric cleavage rules using the UPLC-Q-TOF-MS/MS method. The main characteristic fragments of the compounds were analyzed by electrospray ionization (ESI) ion source under positive and negative ion modes. The compounds were identified by molecular formula, multistage mass spectrometry, ultraviolet spectrum, and the fragmentation patterns of standards. A total of 142 compounds were identified, including 68 flavonoids, 39 saponins, 21 organic acids, and 14 others, of which 43 components were reported from Sophora for the first time. Moreover, the mass spectrometric fragmentation rules of some identified species components were deduced, which are helpful for the structural analysis of flavonoid and saponins. This method provides a reference for the rapid identification of chemical components and is conducive to further study the pharmacodynamic material basis and action mechanism of Sophorae Fructus.
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Affiliation(s)
- Zi-Hui He
- State Key Laboratory of New Drug and Pharmaceutical Process, Shanghai Institute of Pharmaceutical Industry Co., Ltd., China State Institute of Pharmaceutical Industry, Shanghai, People's Republic of China
| | - Mo Liu
- State Key Laboratory of New Drug and Pharmaceutical Process, Shanghai Institute of Pharmaceutical Industry Co., Ltd., China State Institute of Pharmaceutical Industry, Shanghai, People's Republic of China
| | - Jun-Xuan Ren
- State Key Laboratory of New Drug and Pharmaceutical Process, Shanghai Institute of Pharmaceutical Industry Co., Ltd., China State Institute of Pharmaceutical Industry, Shanghai, People's Republic of China
| | - Dan-Wei Ouyang
- State Key Laboratory of New Drug and Pharmaceutical Process, Shanghai Institute of Pharmaceutical Industry Co., Ltd., China State Institute of Pharmaceutical Industry, Shanghai, People's Republic of China
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Ahn SJ, Kim HJ, Lee A, Min SS, Kim E, Kim S. Discrimination of three Angelica herbs using LC-QTOF/MS combined with multivariate analysis. Food Addit Contam Part A Chem Anal Control Expo Risk Assess 2022; 39:1195-1205. [PMID: 35486828 DOI: 10.1080/19440049.2022.2069291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Angelica gigas, a popular medicinal herb in Korea, is locally called Danggui; this name is similarly used for Angelica acutiloba and Angelica sinensis, which are also sold in the retail market. These three herbs have differing therapeutic effects and should be used according to their prescribed purposes. In some retail markets, though, all three herbs are known by the same common name rather than a scientific name and can therefore be confused with each other. In particular, in the case of powdered products, intentional or unintentional wrong sales activity by the seller may occur. In this study, non-targeted analysis was performed using liquid chromatography quadrupole time-of-flight mass spectrometry to discriminate between the three Angelica herbs, and marker compounds were identified by principal component analysis. Principal component analysis was applied to the whole dataset with the variables being sample name, peak name (m/z with retention time), and ion intensity extracted in advance by peak finding, alignment, and filtering. All three herbs were visually and clearly differentiated in the score plot, and the marker compounds that contributed to their discrimination were found in the loading plot through principal component variable grouping (PCVG). Among the marker compounds, coumarins contributed to the classification of A. gigas, and phthalides contributed to the classification of A. sinensis. The three Angelica herbs were well discriminated from each other. Within the three Angelica species investigated, marker compounds can determine the species of even powdered or extracted samples that cannot be visually identified.
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Affiliation(s)
- Su-Jin Ahn
- National Forensic Service, Wonju, Republic of Korea
| | | | - Ayoung Lee
- National Forensic Service, Wonju, Republic of Korea
| | | | - Eunmi Kim
- National Forensic Service, Wonju, Republic of Korea
| | - Suncheun Kim
- National Forensic Service, Wonju, Republic of Korea
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Zhang C, Li N, Wang Z, Wang S, Wang Z, Fan X, Xu X, Zhou Y, Wang Y. Unsaturated fatty-acid based HPLC fingerprints in combination with quantitative analysis of multi-components by single-marker for the classification of Rana chensinensis ovum. NEW J CHEM 2022. [DOI: 10.1039/d2nj00379a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Comprehensive quality evaluation strategy was established for Rana chensinensis ovum based on analytical chemistry and chemometrics.
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Affiliation(s)
- Changli Zhang
- School of Pharmaceutical Sciences, Jilin University, Changchun, Jilin 130021, China
| | - Nan Li
- School of Pharmaceutical Sciences, Jilin University, Changchun, Jilin 130021, China
| | - Zhongyao Wang
- School of Pharmaceutical Sciences, Jilin University, Changchun, Jilin 130021, China
| | - Shihan Wang
- College of Chinese Medicinal Materials, Jilin Agricultural University, Changchun, Jilin 130118, China
| | - Zhihan Wang
- School of Pharmaceutical Sciences, Jilin University, Changchun, Jilin 130021, China
| | - Xuanrui Fan
- School of Pharmaceutical Sciences, Jilin University, Changchun, Jilin 130021, China
| | - Xinxin Xu
- School of Pharmaceutical Sciences, Jilin University, Changchun, Jilin 130021, China
| | - Yue Zhou
- School of Pharmaceutical Sciences, Jilin University, Changchun, Jilin 130021, China
| | - Yongsheng Wang
- School of Pharmaceutical Sciences, Jilin University, Changchun, Jilin 130021, China
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Li Z, Sun Y, Dong F, Yu Q, Fan L, Zhao J, Wang M. Discrimination of heating and frying vegetable oils based on UPLC/Q-TOF MSMS and chemometrics. Food Res Int 2021; 140:109874. [PMID: 33648192 DOI: 10.1016/j.foodres.2020.109874] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 10/27/2020] [Accepted: 10/28/2020] [Indexed: 10/23/2022]
Abstract
Fried foods have potential adverse effects on health. However, the compounds produced during the process of frying in different vegetable oils are unknown. In this work, ultra performance liquid chromatography (UPLC), quadrupole time-of-flight mass spectrometry (Q-TOF MSMS) and chemical pattern recognition analysis was first conducted to analyze the changes in compounds in 8 different vegetable oils before and after thin-layer heating (without food) and to reveal the potential markers of oil used for deep-frying food. Then, these markers were validated in used frying oil. Our results of principal component analysis (PCA), partial least-squares discriminant analysis (PLS-DA) indicated that both thin-layer heating and deep-frying significantly change the compounds of vegetable oils. Thirty-six of the markers associated with thin-layer heating from the 8 different oils were identified in used frying oils and can be used as common markers of oil used for deep-frying. Additionally, 22 markers detected in individual vegetable oils provided unique markers of used frying oils. These markers can be used to distinguish used frying oil and have the potential to reveal the associated physiological harm.
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Affiliation(s)
- Zixiang Li
- National Key Disciplines of Nutrition and Food Hygiene, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin 150081 China
| | - Yongzhi Sun
- National Key Disciplines of Nutrition and Food Hygiene, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin 150081 China
| | - Feng Dong
- National Key Disciplines of Nutrition and Food Hygiene, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin 150081 China
| | - Qingli Yu
- National Key Disciplines of Nutrition and Food Hygiene, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin 150081 China
| | - Lina Fan
- National Key Disciplines of Nutrition and Food Hygiene, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin 150081 China
| | - Jiali Zhao
- National Key Disciplines of Nutrition and Food Hygiene, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin 150081 China
| | - Maoqing Wang
- National Key Disciplines of Nutrition and Food Hygiene, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin 150081 China.
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Li X, Yang H, Pang X, Sun G. Entirely control the quality consistency of Rong'e Yishen oral liquid by both quantified profiling and quantitative analysis of multi-components by single marker method. J Pharm Biomed Anal 2020; 193:113719. [PMID: 33220654 DOI: 10.1016/j.jpba.2020.113719] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2020] [Revised: 10/16/2020] [Accepted: 10/19/2020] [Indexed: 10/23/2022]
Abstract
Quantified profiling and quantitative analysis of multi-components by single marker (QAMS) method were combined to control the quality consistency of Rong'e Yishen oral liquid (REYS) in this paper. Firstly, High Performance Liquid Chromatography (HPLC) with diode array detection (DAD) was applied to collect fingerprints and establish a content determination method. Then, two methods of QAMS and the external standard method (ESM) were used for comparative study to investigate the feasibility of the former to accurately control the quality of individual marker. The results showed that there was no significant difference in quantitative determination between QAMS and ESM (t test, P>0.05). Sodium benzoate, as an internal reference standard (IRS), can be used to simultaneously quantify Icariin, Echinacoside, and Acteoside three components of the oral liquid. Finally, the fingerprint of 15 batches of REYSs was assessed by SQFM with Hierarchical clustering analysis (HCA). The result of the quality evaluation demonstrated that 15 batches were divided into 3 levels and had good quality consistency. What's more, the content percentage of the dominant three medicinal markers and their total amount presented a close correlation with the macro quantitative similarity (Pm) of samples. Thus, quantified profiling combined with QAMS, which is systematic, simple, rigorous, and objective, could be a novel method to evaluate the quality consistency of REYS or even other traditional Chinese medicine (TCM).
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Affiliation(s)
- Xiang Li
- College of Pharmacy, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenhe District, Shenyang, Liaoning, 110016, PR China
| | - Hong Yang
- Inner Mongolia Yili Pharmaceutical Co., Ltd., Hantai Town Pharmaceutical Industrial Group, Dongsheng District, Ordos City, Inner Mongolia, 017000, PR China
| | - Xinyue Pang
- College of Pharmacy, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenhe District, Shenyang, Liaoning, 110016, PR China
| | - Guoxiang Sun
- College of Pharmacy, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenhe District, Shenyang, Liaoning, 110016, PR China.
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