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ObjectiveTemporal heterogeneity in lung cancer presents as fluctuations in the biological characteristics, genomic mutations, proliferation rates, and chemotherapeutic responses of tumor cells over time, posing a significant barrier to effective treatment. The complexity of this temporal variance, coupled with the spatial diversity of lung cancer, presents formidable challenges for research. This article will pave the way for new avenues in lung cancer research, aiding in a deeper understanding of the temporal heterogeneity of lung cancer, thereby enhancing the cure rate for lung cancer. MethodsRaman spectroscopy emerges as a powerful tool for real-time surveillance of biomolecular composition changes in lung cancer at the cellular scale, thus shedding light on the disease’s temporal heterogeneity. In our investigation, we harnessed Raman spectroscopic microscopy alongside multivariate statistical analysis to scrutinize the biomolecular alterations in human lung epithelial cells across various timeframes after benzo(a)pyrene exposure. ResultsOur findings indicated a temporal reduction in nucleic acids, lipids, proteins, and carotenoids, coinciding with a rise in glucose concentration. These patterns suggest that benzo(a)pyrene induces structural damage to the genetic material, accelerates lipid peroxidation, disrupts protein metabolism, curtails carotenoid production, and alters glucose metabolic pathways. Employing Raman spectroscopy enabled us to monitor the biomolecular dynamics within lung cancer cells in a real-time, non-invasive, and non-destructive manner, facilitating the elucidation of pivotal molecular features. ConclusionThis research enhances the comprehension of lung cancer progression and supports the development of personalized therapeutic approaches, which may improve the clinical outcomes for patients.
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AIM To compare the components difference between Lonicera fragrantissima Lindl.et Paxt.(LFL)and Lonicerae japonicae Flos(LJF),and to evaluate the medicinal value of LFL,so as to provide reference for the development and utilization of LFL and LJF.METHODS With 70%methanol as extraction solvent,the components were analyzed by UPLC-TOF-MS,and the contents of 20 components were determined by HPLC-QQQ-MS.The components difference was determined by multivariate statistical analysis.RESULTS A total of 52 components were identified in the buds of LFL and LJF.There were 4 different components in LJF,and the contents of 20 quantitative components were significantly different.The contents of isochlorogenic acid C,ferulic acid,luteolin and rutin in the buds of LFL were more than 2 times that of LJF,and the contents of marchanic acid and marchanin were 11.96 times and 37.23 times that of LJF respectively.Maganin,isochlorogenic acid A,maganic acid,rutin and dicomachanic acid are the key differentiating components of LFL and LJF.CONCLUSION The buds of LFL and LJF have similar species,but the content difference is obvious.The buds of LFL have important medicinal value,which need further development and utilization.
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ObjectiveTo investigate the effects of Aconiti Coreani Radix and Typhonii Rhizoma on the urinary metabolites of gerbils with stroke by non-targeted metabolomics technique, and then to clarify the mechanism of the two, as well as their similarities and differences. MethodTwenty-four gerbils were randomly divided into control group(CG), model group(MG), Aconiti Coreani Radix group(RA) and Typhonii Rhizoma group(RT). Except for the CG, ischemic stroke model was constructed using right unilateral ligation of gerbil carotid artery in the remaining groups. Except for the CG and MG, rats in the other groups received whole powder suspension(0.586 mg·g-1) was administered for 14 days. The neurological deficit in each group was scored by Longa scoring on days 0, 3, 7 and 14. After the end of administration, the serum, brain tissue and urine of gerbils in each group were collected, and the rate of cerebral infarction was detected by 2,3,5-triphenyltetrazolium chloride(TTC), and the levels of interleukin(IL)-6, tumor necrosis factor(TNF)-α, malondialdehyde(MDA), superoxide dismutase(SOD), glutathione(GSH), and nitric oxide(NO) in serum and brain tissue were determined by enzyme-linked immunosorbent assay(ELISA). The urine metabolomics of gerbils in each group was studied by ultra performance liquid chromatography-quadrupole-electrostatic field orbitrap high resolution mass spectrometry(UPLC-Q-Orbitrap-MS), and the data were processed by multivariate statistical analysis, and differential metabolites were screened based on value of variable importance in the projection(VIP) of the first principal component>1 and t-test P<0.05. Metabolic pathway analysis of the screened differential metabolites was performed using Kyoto Encyclopedia of Genes and Genomes(KEGG) database and Metaboanalyst 5.0. ResultCompared with the CG, the neurological deficit score was significantly increased in the MG(P<0.05), compared with the MG, the neurological deficit scores in the RA and RT were significantly reduced after 7 d and 14 d(P<0.05). Compared with the CG, the rate of cerebral infarction was significantly increased in the MG(P<0.05), compared with the MG, the rates of cerebral infarction in the RA and RT were significantly reduced(P<0.05). Compared with the CG, the levels of IL-6, TNF-α, and MDA in the serum and brain tissue of gerbils from the MG were significantly increased(P<0.05), and the levels of SOD, GSH and NO were significantly reduced(P<0.05). Compared with the MG, Aconiti Coreani Radix and Typhonii Rhizoma could down-regulate the levels of IL-6, TNF-α and MDA, and up-regulated the levels of SOD, GSH and NO. A total of 112 endogenous differential metabolites were screened by urine metabolomics, of which 16 and 26 metabolites were called back by Aconiti Coreani Radix and Typhonii Rhizoma, and could be used as potential biomarkers for both treatments in stroke gerbils, respectively. The results of the pathway analysis showed that both Aconiti Coreani Radix and Typhonii Rhizoma had regulatory effects on arginine and proline metabolism, pyrimidine metabolism, and aminoacyl-tRNA biosynthesis. In addition, Aconiti Coreani Radix could also regulate riboflavin metabolism, Typhonii Rhizoma could also regulate purine metabolism, glycine, serine and threonine metabolism, arachidonic acid metabolism, biosynthesis of pantothenate and coenzyme A, and β-alanine metabolism. ConclusionBoth Aconiti Coreani Radix and Typhonii Rhizoma have better therapeutic effects on stroke, with Aconiti Coreani Radix having stronger effects. From the metabolomics results, the main metabolic pathways regulated by Aconiti Coreani Radix involve amino acid metabolism, oxidative stress and so on, while Typhonii Rhizoma mainly involve amino acid metabolism, lipid metabolism, energy metabolism, etc.
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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.
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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’.
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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.
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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.
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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.
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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.
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Humans , Chromatography, High Pressure Liquid , Drugs, Chinese Herbal/chemistry , Plant Extracts/chemistry , Rehmannia/chemistry , Flavonoids/analysisABSTRACT
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.
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Dendrobium , Minerals , Discriminant Analysis , Multivariate Analysis , Nitrogen IsotopesABSTRACT
Objective To determine 10 components in Shiliang tea by high performance liquid chromatography-quantitative analysis of multi-components with a single-marker(HPLC-QAMS),and to evaluate its comprehensive quality by multivariate statistical analysis and entropy-technique for order preference by similarity to ideal solution(E-TOPSIS).Methods The determination was performed on COSMOSIL ?5 C18-MS-Ⅱ column(250 mm×4.6 mm,5 μm)with mobile phase consisted of acetonitrile-0.1% phosphoric acid solution and gradient elution at the flow rate of 1.0 mL·min-1,and the detection wavelength was set at 360 nm and 222 nm.The contents of scopolin,scopoletin,isofraxidin,rutoside,kaempferol-3-O-rutinoside,astragalin,scoparone,quercetin,kaempferol and mcalycanthine in 18 batches of Shiliang tea were calculated according to QAMS using rutoside as internal reference.The content data of 18 batches of Shiliang tea were analyzed chemometrically using statistical software;the quality of Shiliang tea was evaluated comprehensively using E-TOPSIS method.Results Good separation was obtained for all 10 components and showed good linearity with peak area in their respective scopes(r>0.999 0).The average recovery rates were 96.98% -100.12% (RSD<2.0% ,n=9).The average relative correction factors for rutoside and the other 9 components were 2.115 7,2.592 4,0.553 1,0.897 6,0.780 7,1.159 3,0.693 6,1.458 3 and 0.6017(RSD<2.0% ,n=6),and there was no significant difference between the contents obtained by QAMS and external standard method for each component.The results of multivariate statistical analysis showed that the cumulative variance contribution rate of the 2 principal components was 83.886% ,and the variable importance in the projection value greater than 1 were kaempferol-3-O-rutinoside,rutoside and astragalin.The results of E-TOPSIS showed that the euclidean closeness of the optimal solution was between 0.180 4 and 0.739 4.Conclusion The method established is simple,accurate,economical and practical,which can fully reflect the quality difference of Shiliang tea and better control the quality of this variety.
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Bladder cancer is one of the common tumors of urinary system. Early detection and treatment can reduce the recurrence rate and mortality. Currently, it is difficult to balance the diagnostic specificity and sensitivity of traditional diagnostic methods. However, Raman spectroscopy, as a molecular diagnostic technology, can reveal the difference between normal urinary tract epithelial tissue and urinary tract epithelial cell carcinoma of the bladder at the molecular level, which has the characteristics of faster and more accurate diagnosis compared with traditional diagnostic techniques. This paper reviews the research progress of Raman spectroscopy in the diagnosis of bladder cancer.
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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.
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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.
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Chlorogenic Acid , Entropy , Hydroxybenzoates , Quality ControlABSTRACT
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.
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Chromatography, High Pressure Liquid , Epimedium , Tandem Mass Spectrometry , Chromatography, Liquid , Multivariate AnalysisABSTRACT
This study aims to reveal the effects of different growth patterns and years on the quality of Saposhnikoviae Radix samples. The apparent colors of the powder samples were quantified by a colorimeter, and the total color values(E~*ab) were calculated. The content of prim-O-glucosylcimifugin, cimifugin, 4'-O-β-D-glucosyl-5-O-methylvisamminol, sec-O-glucosylhamaudol, and 3'-O-angeloylhamaudol in the samples was simultaneously determined by high performance liquid chromatography(HPLC). Cluster analysis, principal component analysis, partial least squares discriminant analysis, and Pearson correlation analysis were performed to analyze the powder chromatic values and the content of 5 components. The results showed that the E~*ab values of the samples were in the order of wild group<multiple-year-old group<one-year-old group. The content of cimifugin, sec-O-glucosylhamaudol, and 3'-O-angeloylhamaudol in the wild group was significantly higher than that in the multiple-year-old and one-year-old groups. The results of multivariate statistical analysis showed that the quality of multiple-year-old group varied greatly. The quality of the multiple-year-old samples was close to that of the wild group and better than that of the one-year-old group. The variable importance in the projection(VIP) values of b~*, 3'-O-angeloylhamaudol content, E~*ab, and L~* were all larger than 1, and that of cimifugin content was close to 1. The E~*ab value was negatively correlated with the content of prim-O-glucosylcimifugin, cimifugin, sec-O-glucosylhamaudol, and 3'-O-angeloylhamaudol, while it had no linear correlation with the 4'-O-β-D-glucosyl-5-O-methylvisamminol content. The growth patterns and years had different effects on the quality of Saposhnikoviae Radix samples. The chromatic values of Saposhnikoviae Radix and the content of 5 components can be used to evaluate the quality of Saposhnikoviae Radix, and 3'-O-angeloylhamaudol and cinmifugin can be considered as markers for the quality control of Saposhnikovia divaricata during the growing process.
Subject(s)
Powders , Chromatography, High Pressure Liquid/methods , Drugs, Chinese Herbal/analysis , Apiaceae , Plant Roots/chemistryABSTRACT
A method based on ultra-high performance liquid chromatography coupled with triple quadrupole linear ion trap-tandem mass spectrometry(UHPLC-QTRAP-MS/MS) was developed for the simultaneous determination of 41 bioactive constituents of flavonoids, organic acids, nucleosides, and amino acids in Lysimachiae Herba. The content of multiple bioactive constituents was compared among the samples from different habitats. The chromatographic separation was performed in a Waters XBridge®C_(18) column(4.6 mm×100 mm, 3.5 μm) at 30 ℃. The gradient elution was performed with 0.4% methanol(A)-formic acid water(B) as the mobile phase at a flow rate of 0.8 mL·min~(-1), and the multiple-reaction monitoring(MRM) mode was adopted. According to the content of 41 constituents, hierarchical cluster analysis(HCA), orthogonal partial least squares discriminant analysis(OPLS-DA), and gray relational analysis(GRA) were perfomed to comprehensively evaluate the samples from different habitats. The results showed that the 41 constituents exhibited good linear relationship within the tested concentration ranges, with the correlation coefficients(r) greater than 0.999 4. The method featured good precision, repeatability, and stability with the relative standard deviations(RSDs) less than 5.0%. The average recoveries of the 41 constituents ranged from 98.06% to 101.9%, with the RSDs of 0.62%-4.6%. HCA and OPLS-DA separated 48 batches of Lysimachiae Herba samples from different habitats into three categories: the producing areas in Sichuan and Chongqing, the producing areas in Jiangsu, Zhejiang, and Jiangxi, and the producing areas in Guizhou. The content of 41 constituents varied among the Lysimachiae Herba samples from different habitats. The GRA results revealed that the Lysimachiae Herba sample from Nanchong City, Sichuan Province had the best comprehensive quality. The method developed in this study was accurate and reliable and thus can be used for comprehensive evaluation of Lysimachiae Herba quality and provide basic information for the selection of habitats.
Subject(s)
Tandem Mass Spectrometry/methods , Multivariate Analysis , Chromatography, High Pressure Liquid/methods , Drugs, Chinese Herbal/chemistry , Amino Acids/analysisABSTRACT
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
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 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.