A combined method of high performance liquid chromatograph-elecrtrospray-ionization mass spectrometer（HPLC-ESI-MS/MS） coupled with a photodiode array detector（HPLC-DAD） and principal component analysis（PCA） was ...A combined method of high performance liquid chromatograph-elecrtrospray-ionization mass spectrometer（HPLC-ESI-MS/MS） coupled with a photodiode array detector（HPLC-DAD） and principal component analysis（PCA） was applied to the qualitative and quantitative analyses of alkaloids in Cortex Phellodendri（CP） samples, and to the differentiation of two species of CP, Cortex Phellodendri Chinensis（CPC） and Cortex Phellodendri Amurensis（CPA）. Twenty-two peaks appeared in the HPLC-MS base peak chromatogram of CP detected by the HPLC-ESI-MS/MS analysis, and the alkaloids were identified according to the MSn data, the known MS fragmentation rules and the literature data. Five alkaloids including berberine, palmatine, jatrorrhizine, phellodendrine and magnoflorine were simultaneously determinated by the HPLC-DAD. Berberine was the primary component in all CP samples, and the contents of berberine and palmatine were exploited to be two critical parameters for effective discrimination between the two species of CP. The average content of berberine in CPC（58.75 mg/g） was higher than that in CPA（9.16 mg/g）, while the content of palmatine was less, only 0.25 mg/g in CPC and 4.19 mg/g in CPA. With the use of PCA, samples datasets were separated successfully into two different clusters corresponding to the two species, and berberine, pahnatine, phellodendrine and magnoflorine contribute most to the above mentioned calssifying . The proposed method oroved to be a useful tool in the aualitv control of Chinese herbal medicines.展开更多
Coptidis Rhizoma(Chinese:Huanglian)and Phellodendri Chinensis Cortex(Chinese:Huangbo)are widely used Traditional Chinese Medicine,and often used in combination because of their similar pharmacological effects in clini...Coptidis Rhizoma(Chinese:Huanglian)and Phellodendri Chinensis Cortex(Chinese:Huangbo)are widely used Traditional Chinese Medicine,and often used in combination because of their similar pharmacological effects in clinical practice.However,the quality control methods of the two drugs are different and complicated,which is time consuming and laborious in practical application.In this paper,rapid and simultaneous determination of moisture and berberine in Coptidis Rhizoma(CR)and Phellodendri Chinensis Cortex(PC)was realized by near-infrared spectroscopy(NIRs)combined with global models.Competitive adaptive reweighted sampling(CARS)and successive projection algorithm(SPA)method were applied for variable selection.Principal component analysis(PCA)and partial least squares regression method(PLSR)were applied for qualitative and quantitative analysis,respectively.The characteristic variables of berberine showed similarity and consistency in distribution,providing basis for the global models.For moisture content,the global model had relative standard error of prediction set(RSEP)value of 3.04%and 2.53%for CR and PC,respectively.For berberine content,the global model had RSEP value of 5.41%and 3.97%for CR and PC,respectively.These results indicated the global models based on CARS-PLS method achieved satisfactory prediction for moisture and berberine content,improving the determination e±ciency.Furthermore,the greater range and larger number of samples enhanced the reliance of the global model.The NIRs combined with global models could be a powerful tool for quality control of CR and PC.展开更多
Traditional Chinese medicine(TCM)Phellodendri Chinensis Cortex(PCC)has been used for the treatment of human hepatocellular carcinoma,but the underlying mechanisms are still unclear.In this study,15 active compositions...Traditional Chinese medicine(TCM)Phellodendri Chinensis Cortex(PCC)has been used for the treatment of human hepatocellular carcinoma,but the underlying mechanisms are still unclear.In this study,15 active compositions of PCC were obtained from Traditional Chinese Medicine Systems Pharmacology Database(TCMSP),and 505 putative identified targets of PCC were screened by Swiss Target Prediction server.Next,HCC data was downloaded from Drugbank and GeneCards databases.Furtherly,45 common targets were revealed.The network diagrams of the active component-target network,protein-protein interaction(PPI)network and active component-target-pathway network were constructed using Cytoscape software.The analysis of the network results showed that the active ingredients of PCC,such as berberine,obacunone,rutaecarpine,candletoxin A,palmatine,isocorypalmine,quercetin,and(S)-Canadine,had a good binding activity with more targets.Additionally,Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analyses revealed that common targets were significantly enriched in Ras signaling pathway,ErbB signaling pathway,and Mammalian target of rapamycin(mTOR)signaling pathway.Altogether,the multi-component,multi-target,and multi-pathway characteristics of PCC provided a reference for the in-depth study of the mechanism of PCC in the treatment of HCC.展开更多
[Objectives]To explore the mechanism of Angelica sinensis-Phellodendri Chinensis Cortex in the treatment of chronic prostatitis(CP)based on the method of network pharmacology.[Methods]The active components and action ...[Objectives]To explore the mechanism of Angelica sinensis-Phellodendri Chinensis Cortex in the treatment of chronic prostatitis(CP)based on the method of network pharmacology.[Methods]The active components and action targets of Angelica sinensis-Phellodendri Chinensis Cortex were screened by(TCMSP),a systematic pharmacological analysis platform of traditional Chinese medicine,combined with literature search.The target was corrected by Uniprot database,and the disease CP target was screened by GeneCards and OMIM database.The common targets of drugs and diseases were screened by R language software,and the visual network map of drugs-active components-targets-diseases was constructed by Cytoscape 3.5.1 software.The common target protein-protein interaction(PPI)network was constructed by using STRING platform.The R language software was used to annotate and analyze the gene function and pathway of the core target through geneontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG).[Results]46 active components of Angelica sinensis-Phellodendri Chinensis Cortex were screened,and 212 related targets were predicted,of which 159 were related to disease.These targets were mainly involved in biological processes such as heterologous biological stimulation,oxidation and anti-oxidation,and were mainly concentrated in PI3K-Akt,mitogen-activated protein kinase(MAPK),hypoxia inducible factor-1(HIF-1)and other related signaling pathways.[Conclusions]The multi-component,multi-target and multi-pathway action characteristics of Angelica sinensis-Phellodendri Chinensis Cortex were confirmed by network pharmacology,and the possible mechanism of Angelica sinensis-Phellodendri Chinensis Cortex in the treatment of CP was predicted,which provided a theoretical basis for further experiments to verify its action mechanism.展开更多
基金Supported by the National Natural Science Foundation of China(No30725045)the Foundation of Eleventh Five-Year-Plan of China(No2008ZX09202-002)+1 种基金the Shanghai Leading Academic Discipline Project, China(NoB906)the Scientific Foundation of Shanghai City, China(No07DZ19702)
文摘A combined method of high performance liquid chromatograph-elecrtrospray-ionization mass spectrometer（HPLC-ESI-MS/MS） coupled with a photodiode array detector（HPLC-DAD） and principal component analysis（PCA） was applied to the qualitative and quantitative analyses of alkaloids in Cortex Phellodendri（CP） samples, and to the differentiation of two species of CP, Cortex Phellodendri Chinensis（CPC） and Cortex Phellodendri Amurensis（CPA）. Twenty-two peaks appeared in the HPLC-MS base peak chromatogram of CP detected by the HPLC-ESI-MS/MS analysis, and the alkaloids were identified according to the MSn data, the known MS fragmentation rules and the literature data. Five alkaloids including berberine, palmatine, jatrorrhizine, phellodendrine and magnoflorine were simultaneously determinated by the HPLC-DAD. Berberine was the primary component in all CP samples, and the contents of berberine and palmatine were exploited to be two critical parameters for effective discrimination between the two species of CP. The average content of berberine in CPC（58.75 mg/g） was higher than that in CPA（9.16 mg/g）, while the content of palmatine was less, only 0.25 mg/g in CPC and 4.19 mg/g in CPA. With the use of PCA, samples datasets were separated successfully into two different clusters corresponding to the two species, and berberine, pahnatine, phellodendrine and magnoflorine contribute most to the above mentioned calssifying . The proposed method oroved to be a useful tool in the aualitv control of Chinese herbal medicines.
基金supported by National Major Scientic and Technological Special Project for"Signicant New Drugs Development"(2018ZX09201010).
文摘Coptidis Rhizoma(Chinese:Huanglian)and Phellodendri Chinensis Cortex(Chinese:Huangbo)are widely used Traditional Chinese Medicine,and often used in combination because of their similar pharmacological effects in clinical practice.However,the quality control methods of the two drugs are different and complicated,which is time consuming and laborious in practical application.In this paper,rapid and simultaneous determination of moisture and berberine in Coptidis Rhizoma(CR)and Phellodendri Chinensis Cortex(PC)was realized by near-infrared spectroscopy(NIRs)combined with global models.Competitive adaptive reweighted sampling(CARS)and successive projection algorithm(SPA)method were applied for variable selection.Principal component analysis(PCA)and partial least squares regression method(PLSR)were applied for qualitative and quantitative analysis,respectively.The characteristic variables of berberine showed similarity and consistency in distribution,providing basis for the global models.For moisture content,the global model had relative standard error of prediction set(RSEP)value of 3.04%and 2.53%for CR and PC,respectively.For berberine content,the global model had RSEP value of 5.41%and 3.97%for CR and PC,respectively.These results indicated the global models based on CARS-PLS method achieved satisfactory prediction for moisture and berberine content,improving the determination e±ciency.Furthermore,the greater range and larger number of samples enhanced the reliance of the global model.The NIRs combined with global models could be a powerful tool for quality control of CR and PC.
文摘Traditional Chinese medicine(TCM)Phellodendri Chinensis Cortex(PCC)has been used for the treatment of human hepatocellular carcinoma,but the underlying mechanisms are still unclear.In this study,15 active compositions of PCC were obtained from Traditional Chinese Medicine Systems Pharmacology Database(TCMSP),and 505 putative identified targets of PCC were screened by Swiss Target Prediction server.Next,HCC data was downloaded from Drugbank and GeneCards databases.Furtherly,45 common targets were revealed.The network diagrams of the active component-target network,protein-protein interaction(PPI)network and active component-target-pathway network were constructed using Cytoscape software.The analysis of the network results showed that the active ingredients of PCC,such as berberine,obacunone,rutaecarpine,candletoxin A,palmatine,isocorypalmine,quercetin,and(S)-Canadine,had a good binding activity with more targets.Additionally,Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analyses revealed that common targets were significantly enriched in Ras signaling pathway,ErbB signaling pathway,and Mammalian target of rapamycin(mTOR)signaling pathway.Altogether,the multi-component,multi-target,and multi-pathway characteristics of PCC provided a reference for the in-depth study of the mechanism of PCC in the treatment of HCC.
基金Nursery Project of Xiyuan Hospital of China Academy of Chinese Medical Sciences(2019XYMP-23)Clinical Study of Guihuang Prescription in the Treatment of Chronic Prostatitis/Chronic Pelvic Pain Syndrome Based on"Internal Elimination Method for Ulcer"+1 种基金National Natural Science Foundation Cultivation Project of Xiyuan Hospital of China Academy of Chinese Medical Sciences(XY20-13)Study on the Mechanism of Guihuang Prescription in the Treatment of Prostatitis III Based on PI3K/Akt/NF-κB Signaling Pathway.
文摘[Objectives]To explore the mechanism of Angelica sinensis-Phellodendri Chinensis Cortex in the treatment of chronic prostatitis(CP)based on the method of network pharmacology.[Methods]The active components and action targets of Angelica sinensis-Phellodendri Chinensis Cortex were screened by(TCMSP),a systematic pharmacological analysis platform of traditional Chinese medicine,combined with literature search.The target was corrected by Uniprot database,and the disease CP target was screened by GeneCards and OMIM database.The common targets of drugs and diseases were screened by R language software,and the visual network map of drugs-active components-targets-diseases was constructed by Cytoscape 3.5.1 software.The common target protein-protein interaction(PPI)network was constructed by using STRING platform.The R language software was used to annotate and analyze the gene function and pathway of the core target through geneontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG).[Results]46 active components of Angelica sinensis-Phellodendri Chinensis Cortex were screened,and 212 related targets were predicted,of which 159 were related to disease.These targets were mainly involved in biological processes such as heterologous biological stimulation,oxidation and anti-oxidation,and were mainly concentrated in PI3K-Akt,mitogen-activated protein kinase(MAPK),hypoxia inducible factor-1(HIF-1)and other related signaling pathways.[Conclusions]The multi-component,multi-target and multi-pathway action characteristics of Angelica sinensis-Phellodendri Chinensis Cortex were confirmed by network pharmacology,and the possible mechanism of Angelica sinensis-Phellodendri Chinensis Cortex in the treatment of CP was predicted,which provided a theoretical basis for further experiments to verify its action mechanism.
