BACKGROUND A comprehensive literature search shows that Sanqi and Huangjing(SQHJ)can improve diabetes treatment in vivo and in vitro,respectively.However,the combined effects of SQHJ on diabetes mellitus(DM)are still ...BACKGROUND A comprehensive literature search shows that Sanqi and Huangjing(SQHJ)can improve diabetes treatment in vivo and in vitro,respectively.However,the combined effects of SQHJ on diabetes mellitus(DM)are still unclear.AIM To explore the potential mechanism of Panax notoginseng(Sanqi in Chinese)and Polygonati Rhizoma(Huangjing in Chinese)for the treatment of DM using network pharmacology.METHODS The active components of SQHJ and targets were predicted and screened by network pharmacology through oral bioavailability and drug-likeness filtration using the Traditional Chinese Medicine Systems Pharmacology Analysis Platform database.The potential targets for the treatment of DM were identified according to the DisGeNET database.A comparative analysis was performed to investigate the overlapping genes between active component targets and DM treatmentrelated targets.We constructed networks of the active component-target and target pathways of SQHJ using Cytoscape software and then analyzed the gene functions.Using the STRING database to perform an interaction analysis among overlapping genes and a topological analysis,the interactions between potential targets were identified.Gene Ontology(GO)function analyses and Kyoto Encyclopedia of Genes and Genomes enrichment analyses were conducted in DAVID.RESULTS We screened 18 active components from 157 SQHJ components,187 potential targets for active components and 115 overlapping genes for active components and DM.The network pharmacology analysis revealed that quercetin,beta-sitosterol,baicalein,etc.were the major active components.The mechanism underlying the SQHJ intervention effects in DM may involve nine core targets(TP53,AKT1,CASP3,TNF,interleukin-6,PTGS2,MMP9,JUN,and MAPK1).The screening and enrichment analysis revealed that the treatment of DM using SQHJ primarily involved 16 GO enriched terms and 13 related pathways.CONCLUSION SQHJ treatment for DM targets TP53,AKT1,CASP3,and TNF and participates in pathways in leishmaniasis and cancer.展开更多
A method coupling ultra-performance liquid chromatography(UPLC) with quadrupole time-of-flight mass spectrometer(Qtof MS) using the electrospray ionization(ESI) source was developed for the identification of the major...A method coupling ultra-performance liquid chromatography(UPLC) with quadrupole time-of-flight mass spectrometer(Qtof MS) using the electrospray ionization(ESI) source was developed for the identification of the major saponins from Panax notoginseng powder(PNP). Ten different PNP samples were analyzed and evaluated for their quality by similarity evaluation and principle component analysis(PCA). Based on the accurate mass, summarized characteristic fragmentation behaviors, retention times of different types of saponins, related botanical biogenesis, and reported chromatographic behavior of saponins, fifty-one common peaks were effectively separated and identified, including 28 protopanaxadiol saponins and 18 protopanaxatriol saponins. Simultaneously, 15 significant discrepancy compounds were identified from the disqualified PNP samples. The established UPLC/Qtof MS fingerprint method was successfully applied for profiling and identifying the major saponins of PNP, providing a fast quality evaluation tool for distinguishing the authentic PNP and the adulterated products.展开更多
基金Supported by the Central Government guides local S&T Program of Hebei Province,No.216Z2501GScientific Research Project of Hebei Provincial Market Supervision Administration,No.2021YJ11.
文摘BACKGROUND A comprehensive literature search shows that Sanqi and Huangjing(SQHJ)can improve diabetes treatment in vivo and in vitro,respectively.However,the combined effects of SQHJ on diabetes mellitus(DM)are still unclear.AIM To explore the potential mechanism of Panax notoginseng(Sanqi in Chinese)and Polygonati Rhizoma(Huangjing in Chinese)for the treatment of DM using network pharmacology.METHODS The active components of SQHJ and targets were predicted and screened by network pharmacology through oral bioavailability and drug-likeness filtration using the Traditional Chinese Medicine Systems Pharmacology Analysis Platform database.The potential targets for the treatment of DM were identified according to the DisGeNET database.A comparative analysis was performed to investigate the overlapping genes between active component targets and DM treatmentrelated targets.We constructed networks of the active component-target and target pathways of SQHJ using Cytoscape software and then analyzed the gene functions.Using the STRING database to perform an interaction analysis among overlapping genes and a topological analysis,the interactions between potential targets were identified.Gene Ontology(GO)function analyses and Kyoto Encyclopedia of Genes and Genomes enrichment analyses were conducted in DAVID.RESULTS We screened 18 active components from 157 SQHJ components,187 potential targets for active components and 115 overlapping genes for active components and DM.The network pharmacology analysis revealed that quercetin,beta-sitosterol,baicalein,etc.were the major active components.The mechanism underlying the SQHJ intervention effects in DM may involve nine core targets(TP53,AKT1,CASP3,TNF,interleukin-6,PTGS2,MMP9,JUN,and MAPK1).The screening and enrichment analysis revealed that the treatment of DM using SQHJ primarily involved 16 GO enriched terms and 13 related pathways.CONCLUSION SQHJ treatment for DM targets TP53,AKT1,CASP3,and TNF and participates in pathways in leishmaniasis and cancer.
基金supported by Science and Technology Program of Tianjin(No.12TXGCCX03800)
文摘A method coupling ultra-performance liquid chromatography(UPLC) with quadrupole time-of-flight mass spectrometer(Qtof MS) using the electrospray ionization(ESI) source was developed for the identification of the major saponins from Panax notoginseng powder(PNP). Ten different PNP samples were analyzed and evaluated for their quality by similarity evaluation and principle component analysis(PCA). Based on the accurate mass, summarized characteristic fragmentation behaviors, retention times of different types of saponins, related botanical biogenesis, and reported chromatographic behavior of saponins, fifty-one common peaks were effectively separated and identified, including 28 protopanaxadiol saponins and 18 protopanaxatriol saponins. Simultaneously, 15 significant discrepancy compounds were identified from the disqualified PNP samples. The established UPLC/Qtof MS fingerprint method was successfully applied for profiling and identifying the major saponins of PNP, providing a fast quality evaluation tool for distinguishing the authentic PNP and the adulterated products.
