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By integrating plant metabonomics and target quantitative analysis methods, this study systematically analyzed the differences of chemical constituents in Scutellaria baicalensis leaves from different producing areas in Shanxi, so as to provide theoretical basis for rational and effective utilization of Scutellaria baicalensis leaves. Based on the idea of plant metabonomics, the liquid quality of 53 batches of Scutellaria baicalensis leaves from 8 different producing areas in Shanxi was analyzed by UPLC-QTOF-MS, and the collected data were imported into SIMCA 14.1 software for multivariate statistical analysis to screen the different chemical constituents among different habitats in Shanxi. Meanwhile, a method for simultaneous determination of 7 flavonoids and 3 organic acids in Scutellaria baicalensis leaves was optimized and established to quantitatively analyze the differences of chemical components in Scutellaria baicalensis leaves from different producing areas in Shanxi. The results of plant metabonomics showed that there were differences in the chemical composition of Scutellaria baicalensis leaves in northern Shanxi (Datong, Xinzhou), Jinzhong (Yangquan, Luliang) and southern Shanxi (Changzhi, Yuncheng, Jincheng, Linfen): there were 14 significant differences in chemical composition between northern Shanxi and Jinzhong; there were 18 significant differences in chemical constituents between southern Shanxi and central Shanxi. There were 15 significant differences in chemical constituents between northern Shanxi and southern Shanxi. Among them, scutellarin and isocarthamidin-7-O-glucuronide were the common differences among the three regions, and the content of scutellarin was the highest in southern Shanxi and the lowest in northern Shanxi. The content of isocarthamidin-7-O-glucuronide was the highest in Jinzhong area and the lowest in northern Shanxi area. Quantitative analysis further confirmed that the average contents of apigenin, naringenin and citric acid were the highest in northern Shanxi, scutellarin, caffeic acid, apigenin-7-O-glucuronide, malic acid and wogonoside were the highest in southern Shanxi, and wogonoside and baicalin were the highest in central Shanxi. This study is of great significance to the quality control of Scutellaria baicalensis leaf resources, and provides theoretical basis for rational and effective utilization of Scutellaria baicalensis leaf resources.
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Objective To analyze the secondary metabolites of Abrus cantoniensis Hance based on plant metabolomics,and the quality marker(Q-marker)of Abrus cantoniensis Hance by multivariate statistics and network pharmacology prediction.Methods The chemical constituents of 11 batches of Abrus cantoniensis Hance were analyzed by UPLC-Q-TOF-MS methods established and their common components were confirmed.At the same time,cluster analysis(HCA),principal component analysis(PCA)and partial least squares discriminant analysis(OPLS-DA)were carried out to identify the main differential components that caused the classification of the multi-batch medicinal materials of Abrus cantoniensis Hance.Then,the network of"core components-core target-core pathway"was constructed through network pharmacology to screen and predict the potential Q-marker of Abrus cantoniensis Hance,and molecular docking verification was applied to further predict the activity.Results 39 common components were identified in 11 batches of Abrus cantoniensis Hance,mainly containing triterpenoid saponins,flavonoids,alkaloids,etc.HCA and PCA analysis showed that 11 batches of Abrus cantoniensis Hance were divided into 4 categories,and OPLS-DA analysis showed that 9 chemical components played an important role in the classification.The results of network pharmacology analysis showed that the above 9 components which acted on 166 targets were active components,and 29 core targets were obtained by protein interaction(PPI)screening.Among them,four chemical components,Abrine,Hypaphorine,SoyasaponinⅠ and Arginine,were highly correlated with the core targets.Combined with the concept of Q-marker and molecular docking results,it was preliminarily predicted that Abrine and Hypaphorine would be the Q-markers of Abrus cantoniensis Hance.Conclusion The Q-marker of Abrus cantoniensis Hance can be predicted and analyzed by plant metabolomics combined with multivariate statistics and network pharmacology.This study provided data reference for the quality control and evaluation of Abrus cantoniensis Hance and research ideas for further scientific development of Abrus cantoniensis Hance.
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Viscum coloratum (Kom.) Nakai is a well-known medicinal plant. However, the optimal harvest time for V. coloratum is unknown. Few studies were performed to analyze compound variation during storage and to improve post-harvest quality control. Our study aimed to comprehensively evaluate the quality of V. coloratum in different growth stages, and determine the dynamic variation of metabolites. Ultra-performance liquid chromatography tandem mass spectrometry was used to quantify 29 compounds in V. coloratum harvested in six growth periods, and the associated biosynthetic pathways were explored. The accumulation of different types of compounds were analyzed based on their synthesis pathways. Grey relational analysis was used to evaluate the quality of V. coloratum across different months. The compound variation during storage was analyzed by a high-temperature high-humidity accelerated test. The results showed that the quality of V. coloratum was the hightest in March, followed by November, and became the lowest in July. During storage, compounds in downstream steps of the biosynthesis pathway were first degraded to produce the upstream compounds and some low-molecular-weight organic acids, leading to an increase followed by a decrease in the content of some compounds, and resulted in a large gap during the degradation time course among different compounds. Due to the rapid rate and large degree of degradation, five compounds were tentatively designated as "early warning components" for quality control. This report provides reference for better understanding the biosynthesis and degradation of metabolites in V. coloratum and lays a theoretical foundation for rational application of V. coloratum and better quality control of V. coloratum during storage.
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Viscum/química , Plantas Medicinais/química , Cromatografia Líquida , Espectrometria de Massas , MetabolômicaRESUMO
The quality of traditional Chinese medicine has a direct impact on the effectiveness and safety of its use, and is the premise necessary to ensure the healthy development of the traditional Chinese medicine industry. Comprehensive and accurate control and evaluation of the quality of medicinal materials is of great significance to the traditional Chinese medicine industry, but the complexity and dynamics of the chemical composition of medicinal materials makes their quality evaluation a challenge. Plant metabolomics provides an integrated and comprehensive analysis that is consistent with the holistic approach of traditional Chinese medicine. Chemical information therein promotes the establishment of a traceable system and provides new ideas and methods for the quality evaluation of medicinal materials. Plant metabolomics in the quality evaluation of medicinal materials is gradually increasing, and the core is the screening and identification of differential metabolites or specific marker compounds by means of stoichiometry. This study focused on the main factors that affect the quality of medicinal materials, such as origin, environmental adversity, varieties, harvest time, commercial specification and TCM processing. We describe the research progress in plant metabolomics combined with chemometrics analysis for the quality control and evaluation of medicinal materials, summarize existing problems, identify trends, and propose future research directions. Metabolomics plays an increasingly important role in the quality evaluation of medicinal materials, but the absolute qualitative and quantitative information of metabolomics needs to be further developed, and a single 'omics' technique is not sufficient for an in-depth analysis of medicinal value. In the future, standardization of plant metabolomics methods and a more complete database should be actively promoted, and plant metabolomics should be integrated into quality marker exploration. Plant metabolomics will need to be integrated with other 'omics' methods to improve the quality and evaluation system of medicinal materials.
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Viscum coloratum(Komn.)Nakai is a well-known medicinal hemiparasite widely distributed in Asia.The synthesis and accumulation of its metabolites are affected by both environmental factors and the host plants,while the latter of which is usually overlooked.The purpose of this study was to comprehensively evaluate the effects of host and habitat on the metabolites in V.coloratum through multiple chemical and biological approaches.The metabolite profile of V.coloratum harvested from three different host plants in two habitats were determined by multiple chemical methods including high-performance liquid chromatography-ultraviolet(HPLC-UV),gas chromatography-flame ionization detector(GC-FID)and ultra-performance liquid chromatography quadrupole time of flight mass spectrometry(UPLC-QTOF/MS).The differences in antioxidant efficacy of V.coloratum were determined based on multiple in vitro models.The multivariate statistical analysis and data fusion strategy were applied to analyze the dif-ferences in metabolite profile and antioxidant activity of V.coloratum.Results indicated that the metabolite profile obtained by various chemical approaches was simultaneously affected by host and environment factors,and the environment plays a key role.Meanwhile,three main differential metab-olites between two environment groups were identified.The results of antioxidant assay indicated that the environment has greater effects on the biological activity of V.coloratum than the host.Therefore,we conclude that the integration of various chemical and biological approaches combined with multivariate statistical and data fusion analysis,which can determine the influences of host plant and habitat on the metabolites,is a powerful strategy to control the quality of semi-parasitic herbal medicine.
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Pesticides' overuse and misuse have been reported to induce ingredient variations in herbal medicine, which is now gaining attention in the medicinal field as a form of alternative medicine. To date, available studies on pesticide-induced ingredient variations of herbal medicine are limited only on a few compounds and remain most others unexamined. In this study, a plant metabolomics-based strategy was performed to systematically explore the effects of two frequently used insecticides on the comprehensive constituents of Lonicerae Japonicae Flos (LJF), the flower buds of Lonicera japonica Thunb. Field trials were designed on a cultivating plot of L. japonica with controls and treatments of imidacloprid (IMI) and compound flonicamid and acetamiprid (CFA). Unbiased metabolite profiling was conducted by ultra-high performance liquid chromatography/quadrupole-Orbitrap mass spectrometer. After data pretreatment by automatic extraction and screening, a data matrix of metabolite features was submitted for statistical analyses. Consequently, 29 metabolic markers, including chlorogenic acids, iridoids and organic acid-glucosides were obtained and characterized. The relative quantitative assay was subsequently performed to monitor their variations across flowering developments. This is the first study that systematically explored the insecticide-induced metabolite variations of LJF while taking into account the inherent variability of flowering development. The results were beneficial for holistic quality assessment of LJF and significant for guiding scientific use of pesticides in the large-scale cultivation.
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Objective:To identify the quality differential markers of different processed products of Glycyrrhiza uralensis dry roots and rhizomes. Method:Ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MSE) was used to collect high-precision mass-charge ratio and ion response strength information of the components in G. uralensis dry roots and rhizomes before and after processing by negative ion mode. The data set collected after pretreatment was analyzed with principal component analysis (PCA) and orthogonal partial least squares-discriminant analysis (OPLS-DA) to quickly search the differential components in different processed products of G. uralensis dry roots and rhizomes. Differential components were identified according to the relative molecular weight, fragment ion, mass spectrum database and related literature information, then the migration of components before and after processing was studied. Result:A total of 10 quality differential markers were searched from raw products, roasted products and honey-roasted products of G. uralensis dry roots and rhizomes, mainly derivatives of liquiritin and glycyrrhizic acid. Among them, the contents of 6''-O-acetylliquiritin apioside, 6''-O-acetylliquiritin apioside isomer, 6''-O-acetylliquiritin, formononetin and 11-deoxo-18β-glycyrrhetic acid were the highest in the raw products, the contents of 6''-O-acetylisoliquiritin apioside, 6''-O-acetylisoliquiritin, isoliquiritin and glycyrrhetic acid 3-O-glucuronide were the highest in the roasted products, the content of liquiritin was the lowest in the honey-roasted products. Conclusion:There are some chemical differences among the three products. This study can provide material basis for the quality control and pharmacodynamic research of processed products of G. uralensis dry roots and rhizomes.
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OBJECTIVE: To analyze the difference of chemical constituents in Scrophulariae Radix from different areas by UFLC-Triple TOF-MS/MS. METHODS: Through analysis of the multistage tandem mass spectra, the characteristic peaks were extracted with mass spectrometry data peak matching, peak alignment, and noise filtering. Principal component analysis (PCA) and orthogonal partial least-squares discriminant analysis (OPLS-DA) were used for data processing. The constituents were identified according to MS accurate mass and MS/MS spectrometry fragmentation information, combined with the software of database search and literature. RESULTS: The chemical constituents in Scrophulariae Radix from different areas were clearly distinguished. Thirty-six chemical constituents were indentified as differential compounds. Among them, there were 11 kinds of common differential chemical constituents, i.e., caffeic acid, aucubin, 5-hydroxymethylfurfural, harpagide, 6-O-methylcatapol, verbascoside, p-coumaric acid, ningpogenin, 6″-O-feruloylharpagide, sibirioside A, and harpagoside. CONCLUSION: This study provides experimental data to reveal the influence of ecological environment and genetic variation on metabolite biosynthesis of Scrophulariae Radix.
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Due to the diversity and complexity, the change of chemical components in medicinal plant according to the time, cultivated varieties or ecological condition is difficult to recognize using traditional phytochemistry method. In order to analyze the pharmacodynamics material basis in Uighur medicinal plant Artemisia rupestris L. in an effective and comprehensive way, a plant metabolomics approach was established based on liquid chromatography-tandem mass spectrometry (LC-MS/MS). This study firstly focused on the effect of extraction solvents,redissolve solvents and ultrasonic time on the untargeted metabolomics, then the optimal preparation condition was selected according to metabolites coverage. After methodology validation, the approach was applied to acquire metabolic information in root, stem, branchlet, leaf and flower of Artemisia rupestris L. The results showed that the metabolome in flower was obviously different with the other organs. Coupling with multivariate statistical analysis, a batch of differential metabolites were picked out, in which 61 flavonoids, 97 rupestonic acid derivatives, 7 chlorogenic acids and 15 other compounds were primarily recognized according to the characteristic fragmentation rules of specific structure type and database retrieval. Additionally,the distribution characteristics of the above 180 differential metabolites was illustrated by cluster heat map. In conclusion,this study provided important information about the rational utilization of effective parts from Artemisia rupestris L.,and offered a novel strategy for quality control,variety improvement and reasonable development of medicinal plants.
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Objective To analyze the difference of chemical constituents in different parts of Gentiana crasicaulis. Methods An ultra-high performance liquid chromatography coupled with hybrid quadrupole-orbitrap mass spectrometry (UPLC-ESI-HRMSn) was developed to characterize the chemical constituents of different partsin G. crasicaulis. The data were analyzed by principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA). The structures of chemical markers in different parts of the plants were identified based on accurate primary mass spectrometry and secondary mass spectrometry fragment ion, combined with the reference map, software database searching and related literature. Results A total of 36 compounds were identified, including 12 iridoids, 11 fiavonoids, 4 triterpenes, 2 esters, 1 lignans, and 6 others. Four of them were reported for the first time in G. crasicaulis. There were 16 chemical ingredients with significant differences distinguished by the method of OPLS-DA. Conclusion The chemical markers of iridoids were mainly distributed in roots, the chemical markers of flavonoids and triterpenes were mainly concentrated in aerial part of the plant. It is suggested that the potential multiple utilization of different parts from G. crasicaulis.
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Various species of Garcinia Linn.have been widely used as food and folk medicines,for their significant economic and pharmaceutical values.As the development of modern analysis technology,many phytochemistry methods were applied in the research of Garcinia Linn.,in which especially the liquid chromatography coupled with mass spectrometry (LC-MS),was increasingly used in chemical study for its rapid and accurate analysis.In this article,based on the published articles,the LC-MS methods used in the study of Garcinia Linn.,including the qualitative analysis,new compounds discovery and quantitative analysis were reviewed,and it would provide some information for the study of C arcinia Linn.in the future.
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NMR-based metabolomics technique has been applied to botanical studies in recent years. The plant metabolites are complicated and various, metabolomics method can detect the global metabolomic profile of the plant to track valuable metabolites, and provide information for the research of plant physiology, metabolic pathways and functional genes. This paper reviews the application of NMR-based metabolomics technique in medicinal plants, including the biosynthetic mechanism and production of secondary metabolites, the improvement of yield or quality of medicinal plants, the development of effective active ingredient, the identification of medicinal plant species, and the quality control of herbal medicine. In addition, the potential development of this technique in future is discussed.
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In present study, an ultra-performance liquid chromatography/quadrupole time-of-flight mass spectrometry (UHPLC-QTOF/MS)-based plant metabolomics approach was established to investigate the metabolic profiles of the leaves, main root, branch root, and rhizome of Mountain Cultivated Ginseng (MCG). The UHPLC-QTOF/MS data were subjected to principal component analysis (PCA) and orthogonal partial least squared discrimination analysis (OPLS-DA) to find the potential characteristic components of the four parts of MCG in a quick way. The four different parts could be separated into four different groups of phytochemicals according to the PCA scores. The chemical constituents in four parts of MCG were obviously different. The identities of 81 major peaks that were detected in the four parts of MCG and the potential markers were identified by comparison with the reference compounds or were tentatively assigned by matching the retention time,empirical molecular formula and fragment ions with those of the published compounds of the Panax species. This proposed analytical method is fast, accurate, and reliable for differentiating the different parts of MCG. Moreover, this study supplied a new method for the quality evaluation of other Chinese medicinal materials.
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With a great difference in therapeutic effects of Mahuang (MH, the stems of Ephedra sinica) and Mahuanggen (MHG, the roots of Ephedra sinica), chemical differences between MH and MHG should be investigated. In the present study, gas chromatography-mass spectrometry (GC-MS)-based plant metabolomics was employed to compare volatile oil profiles of MH and MHG. The antioxidant activities of volatile oils from MH and MHG were also compared. 32 differential chemical markers were identified according to the variable importance in the projection (VIP) value of orthogonal partial least squares discriminant analysis (OPLS-DA) and P value of Mann-Whitney test. Among them, chemical markers of tetramethylpyrazine (TMP) and α-terpineol were quantified. Their contents were much higher in most MH samples compared with MHG. The antioxidant assay demonstrated that MH had significantly higher free radical-scavenging activity than MHG. Although MH and MHG derived from the same medicinal plant, there was much difference in their volatile oil profiles. MH samples had significantly higher content of two reported pharmacologically important chemical markers of TMP and α-terpineol, which may account for their different antioxidant activities.
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Medicamentos de Ervas Chinesas , Química , Ephedra sinica , Química , Cromatografia Gasosa-Espectrometria de Massas , Metabolômica , Óleos Voláteis , Química , Raízes de Plantas , Química , Caules de Planta , QuímicaRESUMO
Growth year is one of the important factors for the quality of mountain cultivated ginseng (MCG). For age differentiation of MCG, rhizome extracts of ginseng aged from 11 to 15 years were analyzed using a non-targeted approach with ultra-performance liquid chromatography/quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF/MS)-based on plant metabolomics technique. Multivariate statistical methods such as principal component analysis (PCA) and orthogonal partial least squared discrimination analysis (OPLS-DA) were used to compare the derived patterns among the samples. The results showed that the chemical constituents of MCG rhizome extracts of ginseng aged from 11 to 15 years were different. The data set was subsequently applied to metabolite selection by variable importance in the projection (VIP) for sophisticated classification with the optimal number of metabolites. The OPLS-DA model of MCG has a high interpretability and predictive capability, which established by selecting metabolites of MCG aged from 11 to 15 years. By this approach, MCG samples aged from 11 to 15 years, which are the most in demand in the Chinese ginseng market, can be precisely differentiated on the basis of selected metabolites. This proposed analytical method is fast, accurate, and reliable for discriminating the growth year of MCG. Moreover, this study supplies a new method for the age discrimination of other Chinese medicinal materials.
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Objective: To analyze the changes of chemical composition of Pseudostellariae Radix using different processing methods. Methods: To determine 20 batches of samples by UPLC-Triple TOF-MS/MS and tandem mass spectrometry and by combining Mass data, database, and related software for total ion current literature major molecular ion peaks attributable. Data processing was carried out using SIMCA-P software to study multivariate statistical analysis. Results: Thirteen compounds were identified, and the differences of PCA between samples of Pseudostellariae Radix using different processing methods were distinguishable, and 11 kinds of markers were picked from loading chart by significant differences. The 11 kinds of markers presented different changing laws. Conclusion: The research provides experimental data for revealing the laws of different processing methods on metabolites of Pseudostellariae Radix.