ABSTRACT
ObjectiveTo explore the regulatory effect of polysaccharides and n-butanol fractions of Atractylodis Rhizoma stir-fried with bran on the plasma metabolites of spleen-deficient rats， and then to elucidate their mechanisms of spleen-enhancing effects. MethodForty male SD rats were randomly divided into the blank group， model group， polysaccharide group （FD group， 0.075 6 g·mL-1·d-1）， n-butanol fractions group （FZ group， 0.012 1 g·mL-1·d-1）， with 10 rats in each group. Except the blank group， the other three groups used the compound factors of overwork， dietary disorders and intragastric administration of Sennae Folium decoction to replicate the rat model of spleen deficiency. After the end of modeling， the FD group and FZ group were given the corresponding medicinal solution by gavage for 7 d， meanwhile， the blank group and model group were given an equal volume of saline. The plasma samples from rats in the blank， model， FZ and FD groups were analyzed by ultra-high performance liquid chromatography-quadrupole/electrostatic field orbitrap high-resolution mass spectrometry （UHPLC-Q-Orbitrap-MS）， multivariate statistical methods were used to process the data and screen differential metabolites， and metabolic pathway enrichment analysis of the screened differential metabolites was performed using the Kyoto Encyclopedia of Genes and Genomes （KEGG)）database and MetaboAnalyst 5.0. ResultThe results of multivariate statistical analysis showed that there were significant differences in plasma metabolites between the model group and blank group， FZ group and model group， FD group and model group. There were 380 differential metabolites between the blank group and the model group， of which 78 and 57 were called back by polysaccharides and n-butanol fractions of Atractylodis Rhizoma stir-fried with bran， respectively. Metabolic pathway enrichment results showed that the n-butanol fractions mainly affected glycine， serine and threonine metabolism， alanine， aspartate and glutamate metabolism， D-arginine and D-ornithine metabolism， which were summarized as amino acid metabolism， while the polysaccharides mainly affected glycine， serine and threonine metabolism， alanine， aspartate and glutamate metabolism， tricarboxylic acid cycle， biotin metabolism and thiamine metabolism. ConclusionBoth of polysaccharides and n-butanol fractions of Atractylodis Rhizoma stir-fried with bran have significant regulating effects on the metabolic abnormalities in spleen-deficient rats， in which the n-butanol fractions is mainly involved in amino acid metabolism， and the polysaccharides are involved in energy metabolism and cofactor and vitamin metabolism in addition to regulating amino acid metabolism.
ABSTRACT
ObjectiveTo investigate the key compounds affecting the irritation and to clarify the effect of heating and the addition of ginger juice as the auxiliary material during the processing on the irritation of Magnoliae Officinalis Cortex（MOC） by comparing the irritation and composition of volatile oil in MOC and its different processed products. MethodVolatile oil in raw products， water-processed products， ginger-dried products， ginger-fried products（the amounts of ginger were 10%， 50%， respectively） of MOC were extracted by steam distillation and subjected to rabbit eye irritation experiment， and the volatile components of each sample were detected by gas chromatography-mass spectrometry（GC-MS）. Principal component analysis（PCA）and orthogonal partial least squares-discriminant analysis（OPLS-DA） were used to analyze the data of each sample by SIMCA 14.1. The relative contents of different processed products were compared two by two with those of and raw products or ginger-fried products， and the markers that might be related to the irritation were sorted out according to the principles of variable importance in the projection（VIP） value >1 and P<0.05， and the factors influencing the differences in irritation were analyzed. ResultCompared with the blank group， the administration groups all had irritation to the eyes of rabbits， and the degree of irritation was in the order of raw products>water-processed products>ginger-dried products>ginger-fried products（10%）>ginger-fried products（50%）. The results of PCA and OPLS-DA showed that there were differences in the volatile oil from raw products and different processed products. According to VIP value>1 and P<0.05， and combined with the results of eye irritation experiment， ten volatile compounds related to irritation changes were screened out. Among them， cis-cinnamaldehyde was only detected in raw products， the relative contents of β-caryophyllene， （+）-delta-cadinene， α-humulene， γ-muurolene， （-）-isoledene and citral all increased to different degrees， the contents of p-cymene， 1（10）-4-cadinadien-15-ol and β-eudesmol all decreased to different degrees. ConclusionThe irritation of MOC is reduced after heating and processing with ginger juice， and the synergistic effect of both is more effective for reducing irritation. Among the differential markers associated with changes in irritation， the increase in the relative content of citral is closely related to the addition of ginger juice， while the decrease in the relative contents of cis-cinnamaldehyde， p-cymene， 1（10）-4-cadinadien-15-ol is related to heating， and the changes of other components may be related to the synergistic effect of heating and ginger juice.
ABSTRACT
OBJECTIVE To screen the differential components of coumarins in Angelica dahurica from two origins （A. dahurica cv.‘ Hangbaizhi’； A. dahurica cv.‘ Qibaizhi’）. METHODS Non-targeted metabolomics technique of UPLC-Q-Exactive- MS/MS was used to analyze the coumarins in 6 batches of A. dahurica cv. ‘Hangbaizhi’ and 12 batches of A. dahurica cv. ‘Qibaizhi’. The differential components were screened by principal component analysis， partial least squares discriminant analysis and orthogonal partial least squares discriminant analysis. Cluster analysis was performed on differential components. RESULTS A total of 41 coumarins were identified in 18 batches of samples， in which 23 coumarins were differential components. Therein， 6 differential components were higher in content in A. dahurica cv.‘ Hangbaizhi’， while 17 differential components were higher in content in A. dahurica cv.‘ Qibaizhi’. The content of marmesin galactoside in A. dahurica cv.‘ Hangbaizhi’ was significantly higher than that in A. dahurica cv.‘ Qibaizhi’. Based on 23 differential components， A. dahurica cv.‘ Hangbaizhi’ and A. dahurica cv. ‘Qibaizhi’ could be grouped into one category， respectively. CONCLUSIONS The screened differential components of coumarins can be used to distinguish A. dahurica cv. ‘Hangbaizhi’ from A. dahurica cv. ‘Qibaizhi’， especially marmesin galactoside contributed the most， which can be used to identify A. dahurica cv.‘ Hangbaizhi’ and A. dahurica cv.‘ Qibaizhi’.
ABSTRACT
ObjectiveTo study the potential quality marker （Q-marker） of Tinosporae Radix associated with efficacy of "relieving sore throat" based on ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry （UPLC-Q-TOF-MS）， multivariate statistical analysis （MSA）， and network pharmacology. MethodUPLC-Q-TOF-MS was used to identify the main chemical components in 18 batches of Tinosporae Radix. On this basis， principal component analysis （PCA） and orthogonal partial least squares-discriminant analysis （OPLS-DA） were employed to screen out the main marker components that caused differences between groups. Moreover， network pharmacology technology was applied to predict the potential "sore throat-relieving" components， and the molecular docking between the common components resulting from MSA and network pharmacology and the core targets was carried out to verify the marker components. ResultA total of 17 compounds， including alkaloids， diterpenoid lactones， and sterols， were identified by UPLC-Q-TOF-MS. Five main differential components were found by MSA： Columbamine， jatrorrhizine， palmatine， menisperine， and columbin. Network pharmacology analysis yielded six compounds： tetrahydropalmatine， palmatine， menisperine， fibleucin， neoechinulin A， and columbin which were selected as potential "sore throat-relieving" components of Tinosporae Radix. They may relieve sore throat by acting on interleukin-6， epidermal growth factor receptor， prostaglandin G/H synthase 2， matrix metalloproteinase-9， proto-oncogene tyrosine-protein kinase Src and other targets， and regulating Hepatitis B， influenza A， human T-cell virus infection， human cytomegalovirus infection， coronavirus disease-2019， and other signaling pathways. The common active components in Tinosporae Radix resulting from MSA and network pharmacology analysis were palmatine， menisperine， and columbin， which had high binding affinity with six core targets and can be used as the Q-marker components of Tinosporae Radix in "relieving sore throat". ConclusionThis study predicts the "sore throat-relieving" Q-marker of Tinosporae Radix， which lays a basis for developing the quality standard of Tinosporae Radix based on the efficacy and improving the quality evaluation system of the medicinal.
ABSTRACT
OBJECTIVE To improve the quality standard of Yi medicine Gynura japonica， and to evaluate its quality. METHODS Using 15 batches of G. japonica from different producing areas as samples， the contents of water， total ash， acid- insoluble ash and water-soluble extract were determined according to the method stated in part Ⅳ of Chinese Pharmacopoeia （2020 edition）. The contents of total alkaloid （calculated by senecionine） was determined by UV spectrophotometry. The contents of senecionine and seneciphylline were determined by HPLC. Using above 7 indexes as evaluation indexes， cluster heat map analysis， principal component analysis （PCA） and entropy weight approximation ideal ranking （TOPSIS） were used to evaluate the quality of medicinal material comprehensively. RESULTS Among 15 batches of G. japonica， the moisture contents were 8.88%-12.60%， the total ash contents were 4.43%-11.02%， the acid-insoluble ash contents were 0.56%-3.45%， the water-soluble extract contents were 21.71%-53.91%， the total alkaloid contents （calculated by senecionine） were 0.15%-0.39%， and the contents of senecionine and seneciphylline were 0.01% -0.05% and 0.01%-0.06% respectively. According to the results of various indicators， it was preliminarily proposed that the water content in the sample of G. japonica should not exceed 13.00%， the total ash content should not exceed 11.50%， the acid-insoluble ash content should not exceed 3.70%， the water-soluble extract should not be less than 20.70%， the total alkaloid content should not be less than 0.15%， the contents of senecionine and seneciphylline should not be less than 0.01% both. The results of cluster heat map analysis showed that the 15 batches of samples could be divided into four categories； the results of PCA and TOPSIS showed that the samples with high-quality ranking were jsq-2， jsq-5， jsq-6 and jsq-10， and the samples with low-quality ranking were jsq-4， jsq-13 and jsq-14. CONCLUSIONS In this study， the quantitative analysis method of total alkaloids （calculated by senecionine）， senecionine and seneciphylline in G. japonica is established， and the limits of each index are preliminarily determined. Among 15 batches of samples， the qualities of medicinal material collected from Linza Village of Ganluo County of Liangshan Yi Autonomous Prefecture， Machangping Village of Luojishan Town of Puge County of Liangshan Yi Autonomous Prefecture and other places are better.
ABSTRACT
This study explored the feasibility of mineral element content and ratios of nitrogen isotopes to discriminate the cultivation mode of Dendrobium nobile in order to provide theoretical support for the discrimination of the cultivation mode of D. nobile. The content of 11 mineral elements(N, K, Ca, P, Mg, Na, Fe, Cu, Zn, Mn, and B) and nitrogen isotope ratios in D. nobile and its substrate samples in three cultivation methods(greenhouse cultivation, tree-attached cultivation, and stone-attached cultivation) were determined. According to the analysis of variance, principal component analysis, and stepwise discriminant analysis, the samples of different cultivation types were classified. The results showed that the nitrogen isotope ratios and the content of elements except for Zn were significantly different among different cultivation types of D. nobile(P<0.05). The results of correlation analysis showed that the nitrogen isotope ratios, mineral element content, and effective component content in D. nobile were correlated with the nitrogen isotope ratio and mineral element content in the corresponding substrate samples to varying degrees. Principal component analysis can preliminarily classify the samples of D. nobile, but some samples overlapped. Through stepwise discriminant analysis, six indicators, including δ~(15)N, K, Cu, P, Na, and Ca, were screened out, which could be used to establish the discriminant model of D. nobile cultivation methods, and the overall correct discrimination rates after back-substitution test, cross-check, and external validation were all 100%. Therefore, nitrogen isotope ratios and mineral element fingerprints combined with multivariate statistical analysis could effectively discriminate the cultivation types of D. nobile. The results of this study provide a new method for the identification of the cultivation type and production area of D. nobile and an experimental basis for the quality evaluation and quality control of D. nobile.
Subject(s)
Dendrobium , Minerals , Discriminant Analysis , Multivariate Analysis , Nitrogen IsotopesABSTRACT
This study aims to explore the chemical composition of Rehmanniae Radix braised with mild fire and compare the effect of processing method on the chemical composition of Rehmanniae Radix. To be specific, ultra-high performance liquid chromatography with linear ion trap-orbitrap mass spectrometry(UHPLC-LTQ-Orbitrap MS) was used to screen the chemical constituents of Rehmanniae Radix. The chemical constituents were identified based on the relative molecular weight and fragment ions, literature information, and Human Metabolome Database(HMDB). The ion peak area ratio of each component before and after processing was used as the index for the variation. SIMCA was employed to establish principal component analysis(PCA) and orthogonal partial least squares discriminant analysis(OPLS-DA) models of different processed products. According to the PCA plot, OPLS-DA plot, and VIP value, the differential components before and after the processing were screened out. The changes of the content of differential components with the processing method were analyzed. A total of 66 chemical components were identified: 57 of raw Rehmanniae Radix, 55 of steamed Rehmanniae Radix, 55 of wine-stewed Rehmanniae Radix, 51 of repeatedly steamed and sundried Rehmanniae Radix Praeparata, 62 of traditional bran-braised Rehmanniae Radix, and 63 of electric pot-braised Rehmanniae Radix. Among them, the 9 flavonoids of braised Rehmanniae Radix were from Citri Reticulatae Pericarpium. PCA suggested significant differences in the chemical composition of Rehmanniae Radix Praeparata prepared with different processing methods. OPLS-DA screened out 32 chemical components with VIP value >1 as the main differential components. Among the differential components, 9 were unique to braised Rehmanniae Radix(traditional bran-braised, electric pot-braised) and the degradation rate of the rest in braised(traditional bran-braised, electric pot-braised) or repeatedly steamed and sundried Rehmanniae Radix was higher than that in the steamed or wine-stewed products. The results indicated the chemical species and component content of Rehmanniae Radix changed significantly after the processing. The 32 components, such as rehmapicrogenin, martynoside, jionoside D, aeginetic acid, hesperidin, and naringin, were the most important compounds to distinguish different processed products of Rehmanniae Radix. The flavonoids introduced by Citri Reticulatae Pericarpium as excipient may be the important material basis for the effectiveness of braised Rehmanniae Radix compared with other processed products.
Subject(s)
Humans , Chromatography, High Pressure Liquid , Drugs, Chinese Herbal/chemistry , Plant Extracts/chemistry , Rehmannia/chemistry , Flavonoids/analysisABSTRACT
OBJECTIVE To establish comprehensive quality evaluation method based on multi-index components combined with multivariate statistical analysis， and to comprehensively evaluate the quality of Periploca forrestii. METHODS Taking 11 batches of P. forrestii medicinal materials from different areas in Guizhou as samples， the contents of neochlorogenic acid， cryptochlorogenic acid， chlorogenic acid， procyanidin A2， isochlorogenic acid A and isochlorogenic acid C were determined by HPLC. Clustering heat map analysis， grey correlation analysis（GRA） and technique for order preference by similarity to ideal solution（TOPSIS） were used to evaluate the quality of P. forrestii. RESULTS The results of methodological investigation of content determination were in accordance with the relevant regulations， and the linear relationship and accuracy of each component were good in their respective sampling range. The contents of chlorogenic acid， cryptochlorogenic acid， neochlorogenic acid， procyanidin A2， isochlorogenic acid A and isochlorogenic acid C in 11 batches of samples were 3.650-7.302， 0.888-2.575， 1.371- 2.386， 0.947-1.469， 0.084-0.169 and 0.725-1.067 mg/g， respectively. The content of each component was significantly different， with the highest content of chlorogenic acid and the lowest content of isochlorogenic acid A. The comprehensive results of cluster heat map， GRA and TOPSIS analysis showed that the comprehensive quality of S5 and S10 was relatively good. CONCLUSIONS The established method is accurate， stable and simple. Combined with multivariate statistical analysis method， it can be used for quality evaluation of P. forrestii. The quality of samples from Jiuzhou Town and Caiguan Town of Xixiu District in Anshun City of Guizhou Province are relatively good among 11 different origin samples.
ABSTRACT
A comprehensive analytical method based on ultra-fast liquid chromatography coupled with triple quadrupole/linear ion trap tandem mass spectrometry(UFLC-QTRAP-MS/MS) was established for simultaneous determination of the content of 45 bioactive constituents including flavonoids, alkaloids, amino acids, phenolic acids, and nucleosides in Epimedium brevicornum. The multiple bioactive constituents in leaves, petioles, stems and rhizomes of E. brevicornum were analyzed. The gradient elution was performed at 30 ℃ in an XBridge~® C_(18) column(4.6 mm×100 mm, 3.5 μm) with 0.4% formic acid aqueous solution-acetonitrile as the mobile phase at a flow rate of 0.8 mL·min~(-1). Single factor experiment and response surface methodology were employed to optimize the extraction conditions. Multivariate statistical analyses including systematic cluster analysis(SCA), principal component analysis(PCA), partial least squares discriminant analysis(PLS-DA), and one-way analysis of variance(One-way ANOVA) were carried out to classify the samples from different parts and identify different constituents. Grey relation analysis(GRA) and entropy weight-TOPSIS analysis were performed to build a multi-index comprehensive evaluation model for different parts of E. brevicornum. The results showed that there was a good relationship between the mass concentrations of 45 constituents and the corresponding peak areas, with the correlation coefficients(r) not less than 0.999 0. The precision, repeatability, and stability of the established method were good for all the target constituents in this study, with the relative standard deviations(RSDs) less than 5.0%(0.62%-4.9%) and the average recovery of 94.51%-105.7%. The above results indicated that the bioactive constituents varied in different parts of E. brevicornum, and the overall quality followed the trend of leaves > petioles > rhizomes > stems. This study verified the rationality of the Chinese Pharmacopoeia(2020 edition) stipulating that the medicinal part of E. brevicornum is the leaf. Moreover, our study indicated that the rhizome had the potential for medicinal development. The established method was accurate and reliable, which can be used to comprehensive evaluate and control the quality of E. brevicornum. This study provides data reference for clarifying the medicinal parts and rationally utilizing the resources of E. brevicornum.
Subject(s)
Chromatography, High Pressure Liquid , Epimedium , Tandem Mass Spectrometry , Chromatography, Liquid , Multivariate AnalysisABSTRACT
Huocao(a traditional Chinese herbal medicine) moxibustion is a characteristic technology in Yi medicine suitable for cold-dampness diseases. Huocao, as the moxibustion material, is confusedly used in clinical practice and little is known about its quality control. In this study, UPLC method was used to establish the chemical fingerprint of non-volatile components in Huocao, and the contents of eight phenolic acids such as chlorogenic acid were determined. Multivariate statistical analysis was performed to obtain the indicator components of Huocao for quality evaluation, and thus a comprehensive evaluation system for the quality of Huocao was built. The UPLC fingerprints of 49 batches of Huocao were established, and there were 20 common peaks, of which eight phenolic acids including neochlorogenic acid and chlorogenic acid were identified. Except for three batches of Huocao, the similarity of the other 46 batches was higher than 0.89, suggesting that the established fingerprint method could be used for quality control of the medicinal herb. The correlation coefficient between entropy weight score of the eight phenolic acids and comprehensive fingerprint score in Huocao was 0.875(P<0.01), which indicated that the eight phenolic acids could be used as indicator components for the quality evaluation of Huocao. Furthermore, in multivariate statistical analysis on the common peaks of fingerprint and the contents of the eight phenolic acids, chlorogenic acid, isochlorogenic acid A and isochlorogenic acid C were screened to be the indicator components. The results revealed that the proposed method achieved a simple and accurate quality control of Huocao based on UPLC fingerprint and multi-component content determination, which provided useful data for establishing the quality standard of Huocao.
Subject(s)
Chlorogenic Acid , Entropy , Hydroxybenzoates , Quality ControlABSTRACT
Physical attributes of Chinese herbal extracts are determined by their chemical components, and the physical and chemical attributes jointly affect the preparation process performance and the final product quality. Therefore, in order to improve the quality control of Chinese herbal extracts, we should comprehensively study the batch-to-batch consistency of physical and chemical attributes as well as the correlations between them. This paper first explored the physical attributes affecting the preparation process performance of the compound Danshen extract and developed a method for characterizing the texture attributes. With such main chemical components as water, phenolic acids, saponins, and saccharides and texture, rheology, and other physical attributes taken into consideration, the batch-to-batch quality fluctuation of products from different production lines and time was analyzed by principal components analysis(PCA). Finally, the correlation and partial least squares(PLS) analysis was conducted, and the regression equation was established. The fitting result of the PLS model for dynamic viscosity was satisfying(R~2Y=0.857, Q~2=0.793), suggesting that the chemical components could be adjusted by the component transfer rate in the extraction process, the impurity removal rate in the alcohol precipitation process, and the water retention rate of the concentration process to meet the control of the extract dynamic viscosity. This study clarified the correlations between physical and chemical attributes of the compound Danshen extract and established a method for controlling its physical attributes based on process regulation, which would provide reference for improving the quality control of Chinese herbal extracts.
Subject(s)
Drugs, Chinese Herbal/chemistry , Quality Control , Salvia miltiorrhiza/chemistry , WaterABSTRACT
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.
ABSTRACT
Objective:To explore the feasibility of using multivariate statistical analysis to evaluate the quality of Astmgali radix from different habitats. Methods:The contents of Astragaloside saponinⅠ, Astragalus saponin Ⅱ, Astragaloside Ⅲ and Astragaloside A were determined by UPLC-ELSD. The components of astragalus saponins from different habitats were analyzed by TOPSIS and cluster thermogram.Results:TOPSIS analysis showed that the comprehensive quality of Astmgali radix samples from Shanxi, Gansu and Inner Mongolia was related(were 0.297 3, 0.346 0, 0.322 5), and the whole quality of S13 and S14 from Shanxi and N5 from Inner Mongolia were higher than others. Cluster thermogram showed that Astmgali radix was grouped into three groups according to region, and the quality difference of Astmgali radix was mainly reflected on Astragaloside saponinⅠand Astragalus saponin Ⅱ. Conclusions:The theory of multivariate statistical analysis is perfect, objective and reliable. It can be used as a reference for comprehensive quality evaluation of Traditional Chinese Medicine (TCM), selection of excellent germplasm resources and traceability of origin of TCM.
ABSTRACT
Objective:To establish the Ultra-High Performance Liquid Chromatography (UPLC) characteristic chromatogram of different parts of Alpinia oxyphylla Miq., and to compare different parts of the chemical components based on multivariate statistical analysis. Methods:The UPLC was used to establish the fingerprint of Alpinia oxyphylla Miq. . The chromatograms were matched to generate the UPLC charactersistic chromatogram of different parts. Based on the variance analysis of single factor, combined with the Principal Component Analysis (PCA) ,Cluster Analysis (CA) and the Partial Orthogonal Least Square Discriminant Analysis (OPLS-DA) to analyze the differences of different medicinal parts of Alpinia oxyphylla Miq.. Results:16 common peaks of Alpinia oxyphylla Miq. were demarcated in crude drugs, compared with the medicinal materials of Alpinia oxyphylla Miq., the peak 13 (tectochhrysin) was lost in the decoction pieces, and the shell were missing peak 5 and peak 6. The results of PCA and CA showed that 15 batches of different medicinal parts of Alpinia oxyphylla Miq. can be broadly divided into 3 categories. The OPLS-DA result showed that the value of the peak area of peaks 14 (Nootkatone), 4, 7 and 12 were the main factors affecting the chemical composition of different parts of Alpinia oxyphylla Miq. .Conclusion:The fingerprint determination method established in this study is stable and controllable, which could distinguish the different parts of Alpinia oxyphylla Miq. .
ABSTRACT
Objective: To establish a metabonomics research technique based on the combination of
ABSTRACT
ObjectiveTo study the changes of primary metabolites and phenols in the fruits of Acanthopanax senticosus at different development stages, so as to provide a theoretical basis for the rational utilization of A. senticosus fruit resources. MethodThe primary metabolites and phenols in the fruits at different development stages were determined via gas chromatography-mass spectrometry (GC-MS) and liquid chromatography-mass spectrometry (LC-MS) and then compared by multivariate statistical analysis. ResultA total of 274 chromatographic peaks were obtained by GC-MS-based non-targeted metabonomics and 24 differential metabolites were screened out by multivariate statistical analysis. The differential metabolites were mainly concentrated in pentose phosphate pathway, galactose metabolism, ascorbic acid and aldose metabolism pathways. After color conversion, the pentose phosphate pathway and galactose metabolism were activated and increasing sugars were accumulated. The ascorbic acid and aldose metabolism pathways were active before color conversion, with high accumulation of the end product ascorbic acid. The ultra-high liquid chromatography-mass spectrometry (UPLC-MS) identified 28 phenols in the fruits at different development stages. Flavonoids were accumulated mainly at the green ripening stage before color conversion, and phenolic acids were accumulated mainly after color conversion. ConclusionThe accumulation of primary metabolites and phenols in A. senticosus fruits varies significantly among different development stages
ABSTRACT
ObjectiveTo study the correlation between the appearance color of the sample powder and the contents of five non-sugar components of wine-processed Polygonatum kingianum rhizoma during processing， and determine the feasibility of color quantitative value for judging the processing end point of the wine-processed products， and to screen steroidal saponins and flavonoids as markers for the control of the wine-processed products during processing. MethodThe changes of apparent color of the sample powder at different time points of the wine-processed products were measured by colorimeter， and the total color value （E*ab），the total color difference value （ΔE*ab） were calculated. The contents of protodioscin， pseudoprotodioscin， dioscin， diosgenin and narcissoside in the wine-processed products （No. S0-S10） after processing for 0， 5， 10， 14， 16， 18， 20， 22， 24， 26， 28 h were determined simultaneously by ultra-high performance liquid chromatography-tandem mass spectrometry （UHPLC-MS/MS）. Cluster analysis （HCA）， principal component analysis （PCA）， partial least squares discriminant analysis （PLS-DA） and Pearson correlation analysis were used to analyze the chromaticity value of the sample powder and the content of the five components. ResultDuring processing of wine-processed P. kingianum rhizoma， E*ab of the sample powder showed a decreasing trend and the apparent color changed from light yellow to lacquer black. The contents of the five components showed an obvious dynamic change trend with time， and showed different laws. HCA results showed that the processing process of the wine-processed products could be divided into three stages， namely， the early stage （samples S0-S1）， the middle stage （samples S2-S4） and the late stage （samples S5-S10）. PCA results showed that there were significant differences in color and contents of five components between the initial sample and the processing samples， and the difference between samples S8 and S9 was the smallest. PLS-DA results showed that the variable importance in the projection （VIP） values of b*， the contents of pseudoprotodioscin， narcissoside， diosgenin and protodioscin were >1. Pearson correlation analysis showed that the contents of protodioscin， diosgenin and narcissoside had a significant positive correlation with E*ab （P<0.01）， the content of diosgenin had a significant negative correlation with E*ab （P<0.01）， while the content of pseudoprotodioscin had no linear correlation with E*ab. ConclusionIn the process of wine-processed P. kingianum rhizoma， there is a certain linear correlation between color quantitative value and chemical composition， and the processing end point can be determined objectively. It can be considered that protodioscin can be used as a marker for the control of the wine-processed products.
ABSTRACT
OBJECTIVE To establish the fingerprints of Ligusticum sinense from different habitats ，screen differential components and determine their contents. METHODS Using Z-ligustilide as reference ，HPLC fingerprints of 12 batches of L. sinense were established by using Similarity Evaluation System of Chromatographic Fingerprints of TCM （2012 edition）；common peaks were identified and their similarities were evaluated. Cluster analysis （CA），principal component analysis （PCA）and orthogonal partial least squares-discriminant analysis （OPLS-DA）were performed to screen differential components with variable importance in the projection （VIP）＞1 as standard ；meanwhile，the contents of above differential components were determined by the same HPLC method. RESULTS There were 17 common peaks in the fingerprints of 12 batches of L. sinense ，and their similarities ranged 0.989-1.000. A total of 9 common peaks were identified ，i.e. chlorogenic acid （peak 1），ferulic acid （peak 2）， senkyunolide Ⅰ（peak 7），coniferyl ferulate （peak 9），E-ligustilide（peak 13），senkyunolide A （peak 14），Z-ligustilide（peak 17）. CA results showed that 12 batches of L. sinense were divided into 3 categories，S1-S5（Wuning）were clustered into one category，S6-S8（Ruichang）were clustered into one category ，S9-S12（De’an）were clustered into one category ；the VIP values of peaks 2，13，14 and 17（corresponding to ferulic acid ，E-ligustilide，senkyunolide A ，and Z-ligustilide respectively ）were all greater than 1，respectively. In S 1-S5，S6-S8 and S 9-S12 samples，the contents of ferulic acid were 0.488-0.533，0.603-0.658 and 0.415-0.433 mg/g，respectively；senkyunolide A were 1.184-1.295，1.450-1.588 and 1.307-1.377 mg/g，respectively；E-ligustilide were 0.118-0.125，0.130-0.135 and 0.223-0.229 mg/g，respectively；Z-ligustilide were 7.200-7.681，8.076-8.643 and 4.508-4.996 mg/g， respectively；the differences between two groups were statisti-cally significant （P＜0.05）. CONCLUSIONS Established ARS-11）；fingerprint is simple and accurate ，and can be used for overall quality evaluation of L. sinense from different habitats by combining with multivariate statistical analysis. Ferulic acid ， senkyunolide A ，Z-ligustilide and E-ligustilide may be the differential components that affect the quality of L. sinense from different habitats ，the contents of the first 3 components in L. sinense from Ruichang are the highest ，and the content of E-ligustilide in samples from De’an is the highest.
ABSTRACT
Objective:To establish a method of serum detection by Raman spectroscopy for the diagnosis of gastric cancer.Methods:Between April and November 2019, 110 patients with gastric cancer [73 males, 37 females, age (57.4±10.3) years] and 74 patients with colorectal cancer [48 males and 26 females, aged (58.3±12.2) years] were collected at the First Affiliated Hospital of Army Military Medical University, along with 100 healthy subjects [59 males and 41 females, aged (55.6±10.61) years] during the same period. Fasting venous blood serum samples were collected from the subjects. A Raman spectrometer XploRA PLUS was used in this experiment, with an excitation light source of 532 nm, a field of view of 100 times, and a spectrum range of 200-2 000 cm -1, etc. The serum samples were detected by nondestructive and non-contact rapid detection, and the Raman spectra of serum samples were collected. Using the Raman spectrum acquisition and processing supporting software LabSpec6 to smooth, baseline, and normalize the obtained Raman spectrum. Multivariate statistical analysis software SIMCA14.1 were applied to import and analyze the obtained Raman spectrum data by principal component analysis (PCA), orthogonal partial least squares discriminant analysis (OPLS-DA), and other methods for statistical analysis. An operating characteristic curve (ROC) was constructed to evaluate the model analysis effect between serum samples of healthy people and those with gastric cancer. Serum samples from the colorectal cancer group were used to verify the reliability of the model. Results:Six Raman peaks with good repeatability were detected in serum samples in health and gastric cancer group, and peaks were located at 1 001.17, 1 154.63, 1 337.89, 1 446.85, 1 515.33, and 1 658.34 cm -1, respectively. Raman intensities at six Raman peaks were significantly different between healthy and gastric cancer groups. At the displacement of 1 001.17, 1 154.63, and 1 515.33 cm -1, the Raman intensity in the healthy group was higher than that in the gastric cancer group. At 1 337.89, 1 446.85, and 1 658.34 cm -1 displacement, the Raman intensity of the gastric cancer group was higher than that of the healthy group. An OPLS-DA model was constructed to analyze the serum samples of the healthy group and the gastric cancer group. In the model, R 2 is the fitting power, and Q 2 is the predictive ability. The closer the values of R 2 and Q 2 are to 1, the better the performance of the model, and the obtained model's R 2X(cum)=0.809, R 2Y(cum)=0.819, Q 2(cum)=0.758. ROC characteristic curve was drawn based on the OPLS-DA model. The area under the curve (AUC) of the gastric cancer group was 0.998. Six peaks with good repeatability were detected in the serum Raman spectra of gastric cancer stage Ⅰ, Ⅱ, Ⅲ, and Ⅳ, which were located at the displacement of 1 001.85, 1 155.07, 1 338.36, 1 445.75, 1 515.92, and 1 657.68 cm -1, respectively, and at the displacement of 1 155.07 and 1 515.92 cm -1. The Raman intensity of gastric cancer stage Ⅳwas significantly higher than that of gastric cancer stages Ⅰ, Ⅱ, and Ⅲ. Conclusions:According to the model reliability verification, the healthy group, gastric cancer group and colorectal cancer group can also be effectively separated based on OPLS-DA results; it showed a good performance in separating the healthy group from the gastric cancer group. It is possible to detect serum samples from healthy people and gastric cancer patients unlabeled by combining Raman spectroscopy and the OPLS-DA method in multivariate statistics.
ABSTRACT
Based on the serum medicinal method, this study aims to investigate the migrating components of Yougui Yin in the blood after intragastric administration, and to provide reference for the basic research of its pharmacodynamics. The kidney deficiency rat model was replicated by adenine method. Normal rats and model rats were administered orally for a single gavage of Yougui Yin. The components in blood were rapidly analyzed and identified by ultra-high performance liquid chromatography/quadrupole time-of-flight mass spectrometry(UPLC-Q-TOF-MS) and multiple reaction monitoring(MRM), and the migrating components in blood of Yougui Yin were explored by multivariate statistical analysis. The results showed that there were 42 characteristic peaks in the plasma of normal rats by UPLC-Q-TOF-MS technology and 13 chemical components were identified, including 6 alkaloids, 2 flavonoids, 2 triterpenoid saponins, 1 iridoid, 1 phenylpropanoid and 1 monoterpenoid. There were 22 characteristic peaks in the plasma of kidney-deficiency rats, and 12 chemical components were identified, including 2 iridoids, 6 alkaloids, 2 flavonoids, 1 monoterpenoid and 1 triterpenoid saponin. Verbascoside, isoacteoside, acteoside, pinoresinoldiglucoside, loganin and morroniside were identified by MRM both in the plasma of normal rats and kidney-deficiency rats. Compared with 85 monomer components in Yougui Yin, 17 common prototype components were found by UPLC-MS in the plasma of normal rats and kidney deficiency rats, including verbascoside, isoacteoside, acteoside, rehmapicrogenin derived from Rehmanniae Radix Praeparata, pinoresinol diglucoside and geniposidic acid from Eucommiea Cortex, loganin and morroniside derived from Corni Fructus, mesaconine, benzoylmesaconine, benzoylaconitine, benzoylhypacoitine, mesaconitine, aconitine derived from Aconiti Lateralis Radix Praeparata, liquiritin, isoliquiritin and glycyrrhizic acid derived from Glycyrrhizae Radix et Rhizoma. Thirty-one metabolites of medicinal ingredients not found in the plasma of adenine-induced kidney deficiency rats were also detected in the plasma of normal rats. Twelve metabolites of medicinal materials not found in the plasma of normal rats were detected in the plasma of kidney deficiency rats. The results of the study provide reference for explaining the material basis and mechanism of Yougui Yin in the treatment of kidney deficiency.