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ObjectiveTo analyze the antidepressant quality markers（Q-Marker） of Bupleuri Radix（BP） before and after vinegar-processing by ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS）， multivariate statistical analysis and network pharmacology. MethodUPLC-Q-TOF-MS was used to analyze the chemical basis of raw and vinegar-processed products of BP， and principal component analysis（PCA） orthogonal partial least squares-discriminant analysis（OPLS-DA） were used to identify the differential components in BP that changed significantly before and after vinegar-processing， which were regarded as candidate quality markers（Q-Marker）. Then the disease-drug-component-target network related to antidepressant effect of BP was constructed by network pharmacology， and the antidepressant Q-Marker of raw and vinegar-processed products of BP was determined. Rats were randomly divided into blank group， model group， fluoxetine group（2.67 mg·kg-1） and total saponin group（0.72 mg·kg-1）， except the blank group， rats in the other groups were subjected to chronic unpredictable mild stress（CUMS）. Three weeks after the start of modeling， rats in each administration group were given the corresponding dose of drugs once a day for 4 weeks， and rats in the blank and model groups were given normal saline with dose of 10 mL·kg-1. At 1 day before modeling， 21 days and 28 days after administration， body mass weighing， sucrose preference test and open field test were performed on each group . After 28 days of administration， real-time fluorescence quantitative polymerase chain reaction（Real-time PCR） was used to detect the mRNA expression levels of phosphatidylinositol 3-kinase（PI3K）， protein kinase B（Akt）， mammalian target of rapamycin（mTOR）， glycogen synthase kinase-3β（GSK-3β）， forkhead box transcription factor O3a（FoxO3a） and β-catenin in hippocampal tissues of rats in each group， while protein expression levels of PI3K， Akt， mTOR and FoxO3a in hippocampal tissues of rats in each group were detected by Western blot. ResultThere were 19 components in BP showed significant changes before and after vinegar-processing， and 9 components such as saikosaponin A， saikosaponin B1， saikosaponin B2， saikosaponin C and saikosaponin D were identified as potential Q-Marker through S-plot differential marker screening. Combined with the disease-drug-component-target network， saikosaponin A， saikosaponin B1， saikosaponin B2 and saikosaponin D were identified as antidepressant Q-Marker of raw and vinegar-processed products of BP. According to the results of pharmacodynamic tests， after 28 d of administration， compared with the blank group， the body mass， sucrose preference index and open field total score of rats in model group， fluoxetine group and total saponin group decreased significantly（P<0.01）. Compared with the model group， the body mass， sucrose preference index and open field total score in total saponin group increased significantly（P<0.01）. Compared with the blank group， mRNA expression levels of PI3K， Akt， mTOR and β-catenin in hippocampus of rats in the model group decreased significantly（P<0.05）， while mRNA expression levels of GSK-3β and FoxO3a increased significantly（P<0.05）. Compared with the model group， mRNA expression levels of PI3K， Akt， mTOR and β-catenin in hippocampus of rats in the total saponin group were increased significantly（P<0.05）， while mRNA expression levels of GSK-3β and FoxO3a decreased significantly（P<0.05）. Compared with the blank group， the protein expression levels of Akt and mTOR in hippocampus of the model group decreased significantly（P<0.01）， while the protein expression levels of PI3K and FoxO3a increased significantly（P<0.01）. Compared with the model group， the expression level of Akt in hippocampus of the total saponin group increased significantly（P<0.01）， the mTOR expression level was increased but not statistically significant， while the protein expression levels of PI3K and FoxO3a decreased significantly（P<0.01）. ConclusionThe chemical constituents of BP changed greatly after vinegar-processing， and the antidepressant Q-Marker of raw and vinegar-processed products of BP was determined by chemical basis， pharmacodynamics， network pharmacology and signaling pathway， which provided a reference for further research on quality control， pharmacodynamic substance basis and processing mechanism of BP.
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ObjectiveMetabolomics was used to reveal the mechanism of Aconiti Lateralis Radix Praeparata（ALRP） in attenuating toxicity by processing from the aspects of amino acid metabolism， oxidative stress and energy metabolism by analyzing multiple metabolic pathways. MethodTwenty-four rats were randomly divided into control group， raw group and processed group， 8 rats in each group. The raw and processed group were given with 0.64 g·kg-1 of raw ALRP and processed ALRP respectively every day， the control group was given with an equal amount of normal saline once a day. After continuous administration for 7 days， the urine， serum and heart tissue of rats were collected. Pathological examination of the heart was carried out using hematoxylin-eosin（HE） staining， and the activities of lactate dehydrogenase（LDH） and creatine kinase-MB（CK-MB） in serum and cardiac tissues were detected by microplate assay and immunoinhibition assay. The effects of ALRP on rat heart before and after processing were compared and analyzed. Ultra performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS） was used to perform urine metabolomics analysis， and multivariate statistical analysis was used to screen for differential metabolites related to ALRP in attenuating toxicity by processing， and pathway enrichment analysis was carried out to explore the processing mechanism. ResultHE staining showed that no obvious pathological changes were observed in the heart tissue of the control group， while obvious infiltration of inflammatory cells such as plasma cells and granulocytes was observed in the heart tissue of the raw group， indicating that the raw ALRP had strong cardiotoxicity. There was no significant difference in HE staining of heart tissue between the processed group and the control group， indicating that the toxicity of ALRP was significantly reduced after processing. Compared with the control group， the activities of LDH and CK-MB were significantly increased in serum and heart tissue of the raw group， and those were significantly decreased in serum and heart tissue of the processed group， suggesting that the myocardial toxicity of processed ALRP was reduced. A total of 108 endogenous differential metabolites associated with the raw ALRP were screened using multivariate statistical analysis in positive and negative modes， of which 51 differential metabolites were back-regulated by the processed ALRP. Biological analysis of the key regulatory pathways and associated network changes showed that the pathways related to toxicity of ALRP mainly included tryptophan metabolism， arginine and proline metabolism， phenylalanine metabolism， aminoacyl-tRNA biosynthesis， alanine， aspartate and glutamate metabolism， etc. The metabolic pathways related to the attenuation of processed ALRP mainly included aminoacyl-tRNA biosynthesis， tryptophan metabolism， phenylalanine， tyrosine and tryptophan biosynthesis， phenylalanine metabolism and caffeine metabolism. ConclusionThe processing technology of ALRP in Guilingji can significantly attenuate the cardiotoxicity of raw products， the mechanism mainly involves amino acid metabolism， oxidative stress and energy metabolism， which can provide experimental bases for the research related to the mechanism of toxicity reduction of ALRP by processing and its clinical safety applications.
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ObjectiveBased on ultra performance liquid chromatography-quadrupole-time-of-flight tandem mass spectrometry（UPLC-Q-TOF-MS）， to evaluate the establishment of a mouse model of liver Yin deficiency by thyroid tablet suspension combined with 10% carbon tetrachloride（CCl4） from the perspective of non-targeted metabolomics， in order to lay the foundation for the establishment of a traditional Chinese medicine（TCM） syndrome model. MethodA total of 24 mice were randomly divided into blank group and model group. The model group was given thyroid tablet suspension（0.003 2 g·kg-1） by gavage for 14 consecutive days， and 10% CCl4（5 mL·kg-1） was intraperitoneally injected once a week to establish a liver Yin deficiency model， while the blank group was injected with an equal amount of olive oil intraperitoneally and gavaged with an equal amount of distilled water， and was fed with normal feed. After the modeling was completed， 6 mice in each group were randomly selected， the levels of alanine aminotransferase（ALT）， aspartate aminotransferase（AST）， cyclic adenosine monophosphate（cAMP）， cyclic guanosine monophosphate（cGMP）， interleukin（IL）-6， IL-10， tumor necrosis factor-α（TNF-α）were measured in the mice serum， and malondialdehyde（MDA）， superoxide dismutase（SOD）， total protein（TP）， hydroxyproline（HYP） and other indicators were measured in the mice liver. Liver tissue sections were taken for hematoxylin-eosin（HE） staining and observing pathological changes. The remaining 6 mice in each group were subjected to UPLC-Q-TOF-MS combined with principal component analysis（PCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA） were used to screen differential metabolites in the liver Yin deficiency mouse model， Kyoto Encyclopedia of Genes and Genomes（KEGG） database was used to analyze the corresponding metabolic pathways of differential metabolites. ResultCompared with the blank group， mice in the model group showed liver Yin deficiency manifestations such as reduced body weight， fatigue and sleepiness， disheveled and lusterless hair， irritability. The levels of ALT， cAMP/cGMP， IL-6， AST， MDA， cAMP， TNF-α significantly increased（P<0.05， P<0.01）， while the levels of SOD， IL-10 and cGMP significantly decreased（P<0.05， P<0.01）， and the changes of HYP and TP were not statistically significant. Hepatic steatosis and distortion of the radial arrangement of the liver plate cells were seen in the section images of the model group， endogenous substances were clearly separated， and 252 differential metabolites were identified in the serum samples， which were mainly involved in the metabolic pathways of purine metabolism， steroid hormone biosynthesis and pyrimidine metabolism. A total of 229 differential metabolites were identified in the liver samples， mainly involving nucleotide metabolism， purine metabolism， steroid hormone biosynthesis， pyrimidine metabolism， antifolate resistance， insulin resistance， primary bile acid biosynthesis， prostate cancer， sulfur relay system， arachidonic acid metabolism and other metabolic pathways. ConclusionThe successful establishment of liver Yin deficiency model in mice by CCl4 combined with thyroid hormone is evaluated through the investigation of serum and liver metabolomics， combined with biochemical indicators， which provides a biological basis and experimental foundation for the Yin deficiency syndrome model of TCM.
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ObjectiveUltra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS） was used to identify the metabolites of harmine in rats， in order to explore the differences in distribution of metabolites in rats after single dose（40 mg·kg-1） intragastric administration of harmine， as well to speculate the metabolic pathways. MethodSD rats were given a single dose of harmine by intragastric administration. Plasma， bile， urine and feces samples were collected after administration， and the samples were processed for determination by UPLC-Q-TOF-MS. The separation was performed on an ACQUITY UPLC™ HSS T3 columu（2.1 mm×100 mm， 1.8 μm） with acetonitrile（A）-0.1% formic acid aqueous solution（B） as mobile phase for gradient elution（0-2 min， 5%A； 2-9 min， 5%-35%A； 9-9.5 min， 35%-100%A； 9.5-12 min， 100%A； 12-12.5 min， 100%-5%A； 12.5-14 min， 5%A）， the mass spectra were obtained in positive ion mode with electrospray ionization（ESI）， the scanning range was m/z 50-1 200. The metabolites of harmine were identified based on the information of the obtained compounds and the literature data， and the metabolic pathways were hypothesized. ResultA total of 42 compounds（harmine and its metabolites） were identified in rats， including 27 in plasma， 17 in bile， 26 in urine and 13 in feces. The metabolic pathways involved in these 42 metabolites included monohydroxylation， dihydroxylation， demethylation， glucuronidation and sulfation. ConclusionHarmine can undergo phase Ⅰ and phase Ⅱ metabolic reactions in rats， and the prototype drug is metabolized rapidly in vivo， and the metabolites are mainly excreted by the kidneys， which can provide a reference basis for the pharmacodynamics and material basis of harmine.
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ObjectiveTo investigate the brain absorption components of Tianyuan Zhitong prescription and their distribution based on ultra-high performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS）， desorption electrospray ionization mass spectrometry imaging（DESI-MSI） and hyperspectral imaging techniques. MethodTen BALB/c mice were randomly divided into blank group（n=3） and administration group（n=7）， the administration group was gavaged with 0.3 mL of Tianyuan Zhitong prescription liquid at a concentration of about 5 g·mL-1 of the raw material， and the blank group was gavaged with an equal volume of normal saline， and the whole brain of the mice were taken for the preparation of tissue homogenates and frozen sections， respectively. The tissue homogenates were qualitatively analyzed by UPLC-Q-TOF-MS for the brain absorption components in positive and negative ion modes， frozen sections were used for imaging to observe the distribution of these components in the brain. Cytoviva dark-field enhancement microscope was used to perform hyperspectral imaging scanning on the brain sections of mice from each group， and the scattered light data of at least 1 000 pixels in the visible-near-infrared（400-1 000 nm） band in the microscopic field of view were collected and average spectrum were created， which were used to compare the components in the brain tissues of mice from the blank and administration groups. ResultA total of 27 brain absorption components of Tianyuan Zhitong prescription were identified by UPLC-Q-TOF-MS， including 10 organic acids， 5 glycosides， 4 alkaloids， 1 phenol， 4 flavonoids， 2 phthalides and 1 other compound， which were mainly derived from Gastrodiae Rhizoma， Chuanxiong Rhizoma， vinegar-processed Corydalis Rhizoma， Ziziphi Spinosae Semen and processed Morindae Officinalis Radix. A total of 14 components were identified by mass spectrometry imaging， of which ferulic acid， tetrahydropalmatine and N-methyl dehydroberberine were mainly distributed in the cerebral cortex， vitamin B5， vemonoic acid and ricinoleic acid were mainly distributed in the hypothalamus， elemicin， octadecenic acid and octadecanoic acid were mainly distributed in the cortex and hypothalamus， while senkyunolide B， ligustilide， linoleic acid， 9，12-octadecadienoyl ethyl ester and spinosin were distributed in most regions of the brain tissues. Hyperspectral imaging showed that in the visible-near-infrared band range， the average spectrum of the brain tissues of mice in the administration group was significantly red-shifted， indicating that there were differences in the physical properties or contents of the chemical components in the brain between mice in the blank group and those in the administration group， and further verified the results of mass spectrometry imaging. ConclusionThrough the combination of UPLC-Q-TOF-MS and imaging techniques， the pharmacodynamic components of Tianyuan Zhitong prescription in the treatment of headache and the regional characteristics in brain tissue are clarified， which can provide reference for the selection of the index components of the research on the quality standard of this prescription and the research on the mechanism of the pharmacological effect.
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ObjectiveTo investigate the mechanism of anti-pulmonary fibrosis of cannabidiol by ultra-high performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS）. MethodSD rats were randomly divided into blank group， model group， prednisone group（3.15 mg·kg-1） and cannabidiol low， medium and high dose groups（12， 36， 108 mg·kg-1）， with 8 rats in each group. The rat model of pulmonary fibrosis was established by intratracheal injection of bleomycin（5 mg·kg-1）， which was administered continuously for 28 days after successful modeling. The pathological changes of rat lung tissue were observed， and enzyme-linked immunosorbent assay（ELISA） was used to detect the expression levels of matrix metalloproteinase-7（MMP-7）， type Ⅱ alveolar cell surface antigen（KL-6）， pulmonary surfactant-associated protein A（SP-A） and SP-D in serum. The expression levels of type Ⅰ collagen（Col-Ⅰ） and fibronectin（FN） in lung tissues were detected by immunohistochemistry， and the expression of mucin 5 subtype AC（MUC5AC） was detected by immunofluorescence. UPLC-Q-TOF-MS was used to search for potential biomarkers and related metabolic pathways of cannabidiol in treating pulmonary fibrosis. ResultCompared with the blank group， there were a large number of inflammatory cell infiltration and continuous fibrosis lesions in the lung tissue of rats in the model group. Compared with the model group， the inflammatory infiltration and blue collagen deposition in the lung tissue of rats in the prednisone and cannabidiol groups were reduced. Compared with the blank group， the expressions of MMP-7， KL-6， SP-A and SP-D in serum of the model group were significantly increased（P<0.01）， while the expressions of MMP-7， KL-6， SP-A and SP-D in the prednisone and cannabidiol high dose groups were significantly decreased by comparing with the model group（P<0.05， P<0.01）. Compared with the blank group， the expression levels of Col-Ⅰ and FN in the lung tissues of the model group were significantly increased， and the fluorescence intensity of MUC5AC was significantly increased（P<0.01）. Compared with the model group， the expression levels of Col-Ⅰ and FN in the lung tissues of the prednisone and cannabidiol high dose groups were significantly decreased（P<0.05， P<0.01）， and the expression of MUC5AC was significantly decreased（P<0.01）. Compared with the blank group， a total of 18 differential compounds were screened out in the model group， which could be used as potential biomarkers， and cannabidiol could call back 16 of them， mainly involving 4 metabolic pathways（linoleic acid metabolism， phenylalanine， tyrosine and tryptophan biosynthesis， arachidonic acid metabolism， and niacin and niacinamide metabolism）. Compared with the blank group， the relative contents of potential biomarkers arachidonic acid and linoleic acid were significantly increased in the model group（P<0.05， P<0.01）， while the relative contents of 5，6-EET， L-tyrosine and niacinamide were significantly decreased（P<0.01）. Compared with the model group， cannabidiol could significantly reduce the relative contents of arachidonic acid and linoleic acid， and significantly increase the relative contents of 5，6-EET， L-tyrosine and niacinamide（P<0.01）. ConclusionCannabidiol has an intervention and remission effect on pulmonary fibrosis， and its mechanism may be related to linoleic acid metabolism， phenylalanine， tyrosine and tryptophan biosynthesis， arachidonic acid metabolism， niacin and niacinamide metabolism.
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Objective:To explore the effective components and potential mechanisms of Xiefei Lishui Prescription in the treatment of heart failure.Methods:Ultra high-performance liquid chromatography tandem four stage rod time of flight mass spectrometry (UPLC-Q-TOF-MS) technology was used to analyze and identify the active components of Xiefei Lishui Prescription. Drug targets were predicted through the Swiss Target Prediction database, and disease targets were collected from Gene Cards, Dis GENET, and TTD databases. The intersection of drug targets and disease targets was screened using a STRING database for protein interaction to identify core targets. The core targets were included in the DAVID database for GO enrichment and KEGG analysis. Finally, molecular docking validation was performed between the drug components and the corresponding core targets.Results:The results identified 10 active components of Xiefei Lishui Prescription, and 8 potential active components were screened using network pharmacology for the treatment of heart failure with Xiefei Lishui Prescription, corresponding to 160 related action targets. A total of 1 305 disease-related targets were collected, and a total of 51 targets ad 17 core targets were included in the string database for protein interaction analysis. GO functional enrichment and KEGG analysis indicated that the mechanism of Xiefei Lishui Prescription in treating heart failure may be related to pathways such as protein binding, ATP binding, and negative regulation of the VEGF signaling pathway and T cell receptor pathway during apoptosis. The molecular docking results showed that baicalin exhibited good binding activity with ESR1, sorghum isoflavones with ESR1, and quercetin with AKT1, EGFR, IL2, and ABCB1.Conclusion:Xiefei Lishui Prescription may exert therapeutic effects on heart failure through multiple pathways by targeting ESR1, AKT1, EGFR, and other targets.
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Objective To explore the active components of Jianpi Xiaoai Prescription and its mechanism in the treatment of colorectal cancer(CRC).Methods UPLC-Q-TOF-MS technology was used to identify the chemical components of Jianpi Xiaoai Prescription;Active components and target proteins were screened through TCMSP and SwissTargetPrediction databases;STRING database was used for protein interaction analysis;The GeneCards database was used to screen CRC-related targets;DAVID database was used for GO and KEGG pathway enrichment analysis;Molecular docking verification of main active components and key targets was conducted.A rat model of CRC was constructed,and the effect of Jianpi Xiaoai Prescription on key targets of CRC-related pathways in rats was verified by Western blot.Results Totally 35 active components of Jianpi Xiaoai Prescription,617 potential targets,and 325 intersected with CRC-related targets were obtained.The enrichment analysis of active component targets showed that the main enrichments were PI3K-Akt signaling pathway,EGFR tyrosine kinase inhibitors signaling pathway,T cell receptor signaling pathway,VEGF signaling pathway and other related pathways.13 key active components and 6 key proteins of EGFR,SRC,CA2,CA12,CYP19A1 and MAPK3 were obtained in Jianpi Xiaoai Prescription.The results of Western blot experiments showed that Jianpi Xiaoai Prescription could significantly reduce the protein expression levels of SRC and EGFR in rat CRC samples.Conclusion The active component in Jianpi Xiaoai Prescription may exert anti CRC cell proliferation,invasion,and metastasis effects by regulating EGFR,SRC with multiple targets and pathways.
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AIM To identify the chemical components of Longmu Qingxin Mixture by UPLC-Q-TOF-MS and study its material basis for the treatment of attention deficit hyperactivity disorder.METHODS The sample was detected by mass spectrometry in positive and negative ion mode on a Waters CORTECS? UPLC? T3 chromatographic column.The data were analyzed with Peakview 1.2 software and matched with the Natural Products HR-MS/MS Spectral Library 1.0 database,and the components were identified in combination with literature reports.The material basis of Longmu Qingxin Mixture for the treatment of attention deficit hyperactivity disorder was analysed according to the identified components.RESULTS Forty chemical components were identified,including 11 flavonoids,6 monoterpene glycosides,4 triterpene saponins,3 phenolic acids,6 alkaloids etc.,which mainly derived from Radix Astragali,Radix Paeoniae Alba,Radix Scutellariae,licorice root,Ramulus Uncariae cum,etc.,baicalein,formononetin,astragaloside Ⅳ and rhynchophylline may be the material basis for the therapeutic effect of Longmu Qingxin Mixture.CONCLUSION UPLC-Q-TOF-MS can quickly identify the chemical components of Longmu Qingxin Mixture.Flavonoids,triterpene saponins and alkaloids may be the material basis for Longmu Qingxin Mixture for the treatment of attention deficit hyperactivity disorder,which can provide the basis for its material basis research,quality standard establishment and pharmacological study of the dismantled formula.
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ObjectiveTo establish a qualitative analysis method for the chemical constituents of the reference sample of Xiao Xumingtang， and to establish the fingerprint of 15 batches of Xiao Xumingtang， so as to evaluate the quality consistency among batches. MethodAccording to the key information of Xiao Xumingtang in the Key Information Table of Ancient Famous Classical Formulas（25 Formulas）， the reference sample of this formula was prepared， and it was detected by ultra performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS）. The chemical components were identified by self-constructed database， consulting relevant literature， and comparing with the reference substances， and the components were assigned by comparing with single drug samples and negative samples lacking single drug. The fingerprint of the reference sample of Xiao Xumingtang was established using high performance liquid chromatography（HPLC）， and the common peaks were assigned and identified through single drug samples and negative samples lacking single drug. ResultBased on the information of MS fragments， relevant literature， and database retrieval， a total of 64 compounds were identified and inferred from the reference sample of Xiao Xumingtang， including 31 flavonoids， 8 terpenoids， 12 triterpenoid saponins， 2 phthalides， 3 phenylpropanoids， 2 gingerols， 5 alkaloids， and 1 cyanoside. Among them， 21 were derived from Scutellariae Radix， 10 from stir-fried Glycyrrhizae Radix et Rhizoma， 9 from Ginseng Radix et Rhizoma， 8 from Paeoniae Radix Alba， 4 from Saposhnikoviae Radix， 3 from Stephaniae Tetrandrae Radix， 3 from Chuanxiong Rhizoma， 2 from Aconiti Lateralis Radix Praeparata， 2 from Zingiberis Rhizoma Recens， 1 from Ephedrae Herba， and 1 from Armeniacae Semen Amarum. The established HPLC fingerprint of the reference sample of Xiao Xumingtang had 23 common peaks， among which， peaks 1 and 2 were derived from Paeoniae Radix Alba， peaks 3 and 7 from Saposhnikoviae Radix， peaks 4， 8 and 9 from Stephaniae Tetrandrae Radix， peaks 10， 17， 18， 20 and 21 from stir-fried Glycyrrhizae Radix et Rhizoma， peaks 11-16， 19 and 22 from Scutellariae Radix， peak 5 from Chuanxiong Rhizoma， peak 23 from Zingiberis Rhizoma Recens， peak 6 was the common component of stir-fried Glycyrrhizae Radix et Rhizoma and Scutellariae Radix. A total of 10 compounds including albiflorin（peak 1）， paeoniflorin（peak 2）， cimicifugoside（peak 3）， 5-O-methylvisammioside（peak 7）， baicalin（peak 11）， sec-O-glucosylhamaudol（peak 13）， oroxylin A-7-O-β-D-glucuronide（peak 15）， wogonoside（peak 16）， glycyrrhizic acid（peak 21） and 6-gingerol（peak 23） were identified. The similarities of 15 batches of reference samples were>0.999， indicating that the reference samples had good consistency. ConclusionThrough the identification of the chemical constituents in the reference sample of Xiao Xumingtang， it is clear that the composition of the samples is mainly composed of flavonoids and triterpenoid saponins. The established fingerprint can basically reflect the overall chemical characteristics of the reference sample of Xiao Xumingtang， which can provide a basis for the quality research of its compound preparations.
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ObjectiveTo establish a qualitative and quantitative analysis method for chemical constituents in Liu Junzitang（LJZT）， and to clarify its material basis. MethodThe chemical constituents in LJZT were analyzed by ultra performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS）， and the resulting compounds were identified by using databases， such as MassBank， PubChem， ChemSpider， Traditional Chinese Medicine Systems Pharmacology Database and Analytical Platform（TCMSP）， and by combining with relevant literature. UPLC was used to establish a quantitative method for analysis of 9 compounds in LJZT， including liquiritin， hesperidin， lobetyolin， liquiritigenin， glycyrrhizic acid， nobiletin， tangeretin， atractylenolide Ⅱ and Ⅰ. ResultBy combining the relevant literature， database and MS information， a total of 79 compounds were identified from LJZT， including 31 flavonoids， 15 terpenoids， 14 nitrogen-containing compounds， 6 phenylpropanoids， 6 organic acids and 7 other compounds. The established quantitative analytical method for the nine representative components showed good linearity within their respective linear ranges， and the precision， stability， reproducibility and recovery were in accordance with the requirements. The quantitative results showed that the contents of liquiritin， hesperidin， lobetyolin， liquiritigenin， glycyrrhizic acid， nobiletin， tangeretin， atractylenolide Ⅱ and Ⅰ in LJZT were 0.376 5， 2.602 1， 0.082 6， 0.128 1， 1.778 6， 0.015 7， 0.006 7， 0.030 4， 0.003 2 mg·g-1， respectively. ConclusionThe established method can quickly， sensitively and accurately analyze the chemical constituents in LJZT， clarify that the material basis of LJZT is mainly flavonoids， terpenoids and nitrogen-containing compounds， and simultaneously determine the contents of the 9 components， which can lay a foundation for the research on quality control， mechanism and clinical application of LJZT.
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ObjectiveBased on the quality evaluation experience of "it is better to have a fragrant and strong aroma" summarized by materia medica of past dynasties， the chemical components of Sojae Semen Nigrum（SSN） and Sojae Semen Praeparatum（SSP） were systematically compared and analyzed， and the main fermentation products in different fermentation time were quantitatively analyzed， so as to clarify the transformation law of internal components in the processing process and provide scientific basis for the modern quality control of SSP. MethodUltra performance liquid chromatography-quadrupole tandem time-of-flight mass spectrometry（UPLC-Q-TOF-MS） was used for the structural identification of the chemical constituents of SSN and SSP， and with the aid of Progenesis QI v2.3 software， the negative ion mode was employed for principal component analysis（PCA） pattern recognition， and the data were analyzed with the aid of orthogonal partial least squares-discriminant analysis（OPLS-DA） for two-dimensional data to obtain S-plot， and components with |P|>0.1 were selected as the differential constituents. The contents of isoflavonoids in SSP during fermentation was determined by UPLC， and the samples were taken every 8 h in the pre-fermentation period and every 2 d in the post-fermentation period， and the dynamic changes of isoflavonoid contents in different fermentation stages were analyzed. The contents of amino acids and nucleosides in SSP and SSN from different fermentation stages were quantitatively analyzed by phenyl isothiocyanate（PITC） pre-column derivatization and high performance liquid chromatography（HPLC） gradient elution， and the contribution of flavor substances to the "delicious" taste of SSP was discussed by taste intensity value（TAV）. ResultA total of 19 kinds of differential components were screened out， mainly soybean saponins and isoflavones， and their contents decreased significantly or even disappeared after fermentation. In the pre-fermentation process of SSP， glycoside bond hydrolysis mainly occurred， and isoflavone glycosides in SSN were degraded and converted into the corresponding aglycones， the content of flavor substances such as amino acids increased gradually. In the post-fermentation process， protein degradation mainly occurred， after 8 d of post-fermentation， the content of isoflavones was basically stable， while the total content of amino acids increased by 8-40 times on average. Different amino acids form the special flavor of SSP， such as the TAV of glutamate is always ahead of other flavor substances， and sweet substances such as alanine and valine have made relatively great contributions to SSP. ConclusionBased on the law of constituent transformation， combined with the traditional evaluation index of "fragrant and strong"， it is difficult to control the fermentation degree of SSP by the existing standards in the 2020 edition of Chinese Pharmacopoeia. It is suggested that description of the characteristics of SSP be refined and changed to "fragrant， delicious and slightly sweet"， and at the same time， the post-fermentation index compounds such as glutamic acid， alanine and valine should be added as the quality control indicators of SSP， so as to standardize the production process and improve the quality of SSP.
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ObjectiveTo clarify the differences in the efficacy and mechanism of different processed products of Atractylodes chinensis rhizoma by the pharmacodynamics and metabolomics studies of raw， bran-fried and rice water-processed products on rats with spleen deficiency. MethodSixty male SD rats were randomly divided into blank group， model group， raw product group（3.75 g·kg-1）， bran-fried product group（3.75 g·kg-1）， rice water-processed product group（3.75 g·kg-1） and Shenling Baizhusan group（6.7 g·kg-1）， with 10 rats in each group. The method of excessive fatigue+improper diet was used to establish a spleen deficiency model in rats. After the end of modeling， except for the blank and model groups， each dosing group was given the corresponding drug suspension， the immune organ coefficients of each group of rats were examined， the levels of interleukin-6（IL-6）， tumor necrosis factor-α（TNF-α）， immunoglobulin G（IgG）， amylase（AMS）， motilin（MTL）， gastrin（GAS）， Na+-K+-adenosine triphosphatase（ATPase）， aquaporin 2（AQP2）， AQP3 and AQP8 in rats were measured by enzyme-linked immunosorbent assay（ELISA）. Ultra high performance liquid chromatography-quadrupole-time-of-flight tandem mass spectrometry（UPLC-Q-TOF-MS） combined with orthogonal partial least squares-discriminant analysis（OPLS-DA） were used to search for biomarkers in the plasma samples of spleen-deficient rats by using two criteria［P<0.05 and variable importance in the projection（VIP） value>1］， and to compare the different modulatory effects of the three decoction pieces on the splenic-deficient biomarkers， and metabolic pathway analysis was conducted through the Kyoto Encyclopedia of Genes and Genomes（KEGG） database. ResultCompared with the blank group， the thymus index and spleen index of rats in the model group were significantly decreased（P<0.05）， the levels of IL-6， TNF-α， IgG and AQP2 were significantly increased（P<0.05）， the levels of AMS， GAS， MTL， AQP3， AQP8 and Na+-K+-ATPase were significantly decreased（P<0.05）. Compared with the model group， raw products， bran-fried products and rice water-processed products all increased thymus index and spleen index（P<0.05）， decreased IL-6， TNF-α， IgG and AQP2 levels（P<0.05）， and increased AMS， GAS， MTL， AQP3， AQP8 and Na+-K+-ATPase levels to different degrees. A total of 176 differential metabolites were screened in the model group compared with the blank group， of which 75， 72 and 84 biomarkers were called back by the raw products， bran-fried products and rice water-processed products， respectively（P<0.05， P<0.01）. Raw products of A. chinensis rhizoma mainly affected glycine， serine and threonine metabolism. Bran-fried products mainly affected alanine， aspartate and glutamate metabolism， D-arginine and D-ornithine metabolism. Rice water-processed products mainly affected glycine， serine and threonine metabolism， alanine， aspartate and glutamate metabolism， citrate cycle， thiamine metabolism， D-arginine and D-ornithine metabolism. ConclusionRaw products， bran-fried products and rice water-processed products of A. chinensis rhizoma all have good spleen strengthening effects， among which the effects of bran-fried products and rice water-processed products were stronger. Meanwhile， raw products has the strongest dryness， followed by bran-fried products， and the weakest dryness of rice water-processed products. The three decoction pieces are able to significantly modulate metabolic abnormalities in spleen-deficient rats， and the mechanism may be related to amino acid metabolism such as glycine， serine and threonine metabolism as well as alanine， aspartate and glutamate metabolism.
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OBJECTIVE To analyze the main components of Chelidonii Herba-Corydalis Rhizoma （CHCR）， and to predict pharmacodynamic substances against estrogen receptor （ER） -positive breast cancer and their potential targets and signaling pathways， followed by verifying experiments. METHODS The ethanol extract of CHCR was analyzed by ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry （UPLC-Q-TOF-MS/MS）. The network pharmacology analysis was performed for the screened components. The network diagram of CHCR “active components-target-pathway” was constructed， and the enrichment pathway in vitro was validated. RESULTS A total of 58 chemical components were identified， including 57 alkaloids and 1 organic acid. A total of 38 active ingredients were screened from the network pharmacology， and 38 core targets were found in the protein-protein interaction network of “component-disease” intersection targets； 258 gene ontology entries and 137 Kyoto encyclopedia of genes and genomics pathways were obtained， mainly including estrogen signal pathway， phosphatidylinositol-3-kinase/protein kinase B （PI3K/Akt） signal pathway， etc. The results of validation test showed that the median inhibitory concentration of CHCR to MCF-7 cells was 693 μg/mL； 150， 300， 600 μg/mL CHCR could significantly reduce the expressions of phosphorylated PI3K， phosphorylated Akt， ERα protein and ESR1 mRNA （P＜0.01）. CONCLUSIONS The anti-ER-positive breast cancer effect of CHCR may be related to the regulation of ER and PI3K/Akt pathways， which has the characteristics of multi-component and multi-target effects.
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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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ObjectiveTo analyze the migrating components absorbed into blood of the aqueous extract of Euphorbia helioscopia， and to explore the pharmacodynamic material basis of the aqueous extract of E. helioscopia against chronic obstructive pulmonary disease（COPD）. MethodUltra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS） was used to detecte the migrating components absorbed into blood of rats after intragastric administration of aqueous extract of E. helioscopia. An Agilent RRHD SB-C18 column（3 mm×100 mm， 1.8 μm） was used with 0.1% formic acid aqueous solution（A）-acetonitrile（B） as the mobile phase for gradient elution（0-15 min， 5%-30%B； 15-20 min， 30%-50%B； 20-30 min， 50%-95%B； 30-35 min， 95%-5%B）， and the detection wavelength of 190-800 nm， column temperature of 40 ℃， flow rate of 0.3 mL∙min-1 and injection volume of 4 μL. The electrospray ionization（ESI） was used in positive and negative ion modes， and the detection range was m/z 50-1 250. Network pharmacology was used to screen out the key components and the key targets of COPD through the interaction analysis. Metascape database was used to predict the molecular function， biological process， cellular composition and signal pathways mainly involved in the anti-COPD effect of E. helioscopia. Molecular docking technique was used to determine the affinity of key targets with key components. ResultA total of 29 migrating components absorbed into blood of rats were identified after intragastric administration of aqueous extract of E. helioscopia， 9 of which were prototype components and 20 were metabolites. Network pharmacological analysis showed that luteolin， quercetin， apigenin， naringenin and helioscopinolide C were the key components of E. helioscopia against COPD， and vascular endothelial growth factor A（VEGFA）， albumin（ALB）， protein kinase B1（Akt1）， tumor necrosis factor（TNF） and interleukin-6（IL-6） were the key targets. Molecular docking results showed that one diterpene lactone（helioscopinolide C） and three flavonoids（naringenin， luteolin， apigenin） in the migrating components absorbed into blood all had strong binding activity to the key targets of E. helioscopia against COPD. ConclusionNaringenin， helioscopinolide C， luteolin and apigenin may be the main anti-COPD active substances of E. helioscopia.
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OBJECTIVE To study the pharmacological basis of Schisandra chinensis in the treatment of allergic asthma. METHODS The common components of 10 batches of S. chinensis from different habitats were analyzed by UPLC-Q-TOF-MS/MS. Furthermore， the allergic asthma model was established by intraperitoneal injection of ovalbumin （OVA） and aluminum hydroxide for stimulation combined with atomization exitation； general behavioral observation and the contents of interferon γ （IFN-γ）， interleukin-4 （IL-4） and immunoglobulin E （IgE） in serum were taken as criteria for evaluating the therapeutic effect of S. chinensis from different habitats in the treatment of allergic asthma. Correlation coefficients between common peak area and efficacy evaluation index of each batch of medicinal material were analyzed through grey correlation degree and Pearson correlation analysis. RESULTS A total of 21 common components were identified in 10 batches of S. chinensis from different habitats. After administration of S. chinensis， symptoms such as shortness of breath， sneezing and curling of rats were alleviated. In addition， the content of IFN-γ was significantly increased while the contents of IL-4 and IgE in serum were distinctly decreased （P＜0.01）. Grey correlation analysis showed that 11 common components had high correlation coefficients with IFN-γ， IL-4 and IgE （rˉ＞0.8）. Pearson correlation analysis showed that 8 components were significantly positively correlated with the content of IFN-γ （P＜ 0.05）， and 9， 8 components were significantly negatively correlated with the content of IL-4 and IgE （P＜0.05）. Based on the results of grey correlation degree and Pearson correlation analysis， 7 components such as peak 3， 4， 6， 7， 9， 19 and 20， were highly related to S. chinensis in the treatment of allergic asthma. CONCLUSIONS Schisandrol A， schisandrin B， schisandrin C， gomisin M2， gomisin J， pregomisin and angeloylgomisin H are the potential pharmacodynamic substance basis of S. chinensis in the treatment of allergic asthma.
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ObjectiveA rapid method for identification of chemical constituents in Puerariae Lobatae Radix dispensing granules was established in order to clarify the material basis. MethodThe chemical constituents of Puerariae Lobatae Radix dispensing granules was qualitatively analyzed by ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS） under positive and negative ion modes， and the chromatographic conditions were on an ACQUITY UPLC HSS T3 column（2.1 mm×100 mm， 1.8 μm） with 0.1% formic acid aqueous solution（A）-0.1% formic acid acetonitrile solution（B） as mobile phase for gradient elution（0-4 min， 5%-10%B； 4-10 min， 10%-15%B； 10-20 min， 15%-16%B； 20-27 min， 16%-31%B； 27-33 min， 31%-59%B； 33-42 min， 59%-95%B； 42-42.1 min， 95%-5%B； 42.1-45 min， 5%B）， the flow rate was 0.35 mL·min-1， the column temperature was 40 ℃， the injection volume was 5 μL， and electrospray ionization（ESI） was selected. Then these chemical constituents were comprehensively identified based on PeakView 1.2， PubChem， ChemicalBook， ChemSpider， comparative control profiles and literature information. ResultA total of 128 chemical constituents were identified from the dispensing granules， including 60 flavonoids， 26 organic acids， 7 glycosides， 6 coumarins， 3 nucleosides and 26 other compounds. By focusing on the cleavage patterns of flavonoids， organic acids， glycosides， coumarins， nucleosides and other compounds， 12 compounds that have not been reported in Puerariae Lobatae Radix species were identified from the dispensing granules. ConclusionThe established method can systematically and rapidly identify the chemical constituents in Puerariae Lobatae Radix dispensing granules， and cleared it composition is mainly flavonoids and organic acids. Laying a foundation for the study of the material basis， mechanism of action and clinical application of the dispensing granules.
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ObjectiveTaking the rat model of spleen-stomach damp-heat syndrome（SSDHS） as the research object， this study aimed to investigate the potential biomarkers of SSDHS and the related metabolic pathways based on urine metabolomics， and tried to reveal the essence of SSDHS at the level of endogenous small molecular metabolites. MethodSixteen SD rats were randomly divided into normal and model groups. The normal group was fed normal chow and the model group was fed with 200 g·L-1 honey water daily， and lard and Chinese Baijiu alternately on alternate days for 17 days. The SSDHS model rats were exposed to external dampness-heat environment with temperature at 30-34 ℃， relative humidity of 95% for 2 h at the same time every day from the 10th day for 7 d. Then， the model was evaluated by observing the general conditions of the rats， measuring the contents of motilin（MTL） and gastrin（GT） in plasma by enzyme-linked immunosorbent assay（ELISA）， and examining the histopathology of gastronitestinal tissues. In additon， the urine metabolomics analysis was performed by ultra-high performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS）， and the detection conditions was as follows：ACQUITY™ UPLC BEH C18 column（2.1 mm×100 mm， 1.7 μm）， mobile phase of 0.1% formic acid aqueous solution（A）-0.1% formic acid acetonitrile solution（B） for gradient elution （0-3 min， 1%-18%B； 3-8 min， 18%-40%B； 8-10 min， 40%-100%B）， the flow rate of 0.4 mL·min-1， electrospray ionization（ESI） in positive and negative ion modes， scanning range of m/z 50-1 000. The univariate and multivariate statistical analysis were constructed for screening inter-group differential ions， the element composition was calculated according to the precise relative molecular weight， and ion information was matched with databases such as Human Metabolome Database（HMDB） to identify biomarkers. Kyoto Encyclopedia of Genes and Genomes（KEGG） database was used to obtain the biological information of metabolites， and their associated metabolic pathways were analyzed by MetaboAnalyst 5.0. ResultCompared with the normal group， the rectal temperature of the model group increased significantly（P<0.01）， the levels of plasma MTL and GT decreased significantly（P<0.05， P<0.01）， and pathological changes such as bleeding， congestion and inflammatory infiltration in the gastric and colonic tissues. A total of 25 differential metabolites such as L-histidine， citric acid and isocitric acid were found to be the potential biomarker of SSDHS by urine metabolomics， 13 of which were phase Ⅱ metabolites of endogenous substances（glucuronic acid conjugates， sulfuric acid conjugates and acetyl conjugates）， involving the metabolic pathways of histidine metabolism， tricarboxylic acid cycle， glyoxylate and dicarboxylate metabolism. ConclusionSSDHS primarily causes disorders of histidine metabolism， tricarboxylic acid cycle， glyoxylate and dicarboxylate metabolism， as well as the imbalance of the activation/inactivation of endogenous metabolites， which may involve the immune response， material and energy metabolism， inflammatory response and intestinal flora， and may provide a basis for the establishment and application of SSDHS model.
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Galli Gigerii Endothelium Corneum(GGEC), the dried gizzard membrane of Gallus gallus domesticus is a Chinese medicinal material commonly used for digestion. However, due to the particularity of texture and composition, its active ingre-dients have not been clarified so far, and there is also a lack of quality evaluation indicators. In this study, UPLC-Q-TOF-MS was used to analyze the chemical components from the water extract of GGEC, and ten nucleosides were identified for the first time. HPLC fingerprints of the water extracts of GGEC were established and the content of seven nucleosides was determined. The fingerprint similarities of 40 batches of GGEC samples ranged from 0.765 to 0.959, indicating that there were great differences among the GGEC products processed with different methods. In addition, SPSS 22.0 and SIMCA 14.1 were used for hierarchical cluster analysis(HCA) and principal component analysis(PCA) on the 19 common peaks of the HPLC fingerprints of GGEC, and the 40 batches of samples were divided into three categories: raw GGEC, fried GGEC and vinegar-processed GGEC. Eight differential components in GGEC were marked by orthogonal partial least squares discrimination analysis(OPLS-DA), two of which were adenine and thymine. The results of content determination showed that the total content of the seven nucleosides in raw GGEC, fried GGEC and vinegar-processed GGEC were 182.5-416.8, 205.3-368.7, and 194.2-283.0 μg·g~(-1), respectively. There were significant differences in the content of hypoxanthine, thymine and thymidine among the GGEC products processed with different methods(P<0.05), which were graded in the order of fried GGEC>vinegar-processed GGEC>raw GGEC. This suggested that the content of hypoxanthine, thymine and thymidine tended to increase during the frying process, and the variation range might be related to the degree of heat exposure. The established methods in this study were simple and reproducible, and could be used for qualitative and quantitative analysis of GGEC and its processed pro-ducts. This study also provided reference for the establishment of quality standards of GGEC with chemical components as control index.