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ObjectiveTo analyze and predict the potential quality markers （Q-Marker） in the Genuine medicinal materials Jiangxi Aurantii Fructus based on fingerprints and network pharmacology. MethodUltra-high performance liquid chromatography （UPLC） and gas chromatography-mass spectrometry （GC-MS） fingerprints were established for 18 batches of Jiangxi Aurantii Fructus ，combined with chemometric methods to screen out candidate Q-Marker components.Use network pharmacology to construct a "core component-target-pathway" network to predict the Q-Marker and core targets of Jiangxi Aurantii Fructus，and then verify the biological activity of Jiangxi Aurantii Fructus Q-Marker by molecular docking method. ResultThe 18 batches of Jiangxi Aurantii Fructus use UPLC，GC-MS fingerprints combined with chemometric analysis，a total of 9 Q-Marker candidate components were screened out.Through network pharmacological analysis，it is predicted that nobiletin，neohesperidin，meranzin，naringin and D-limonene are the Q-Marker of Jiangxi Aurantii Fructus，acting on the core targets transforming protein p21/H-Ras-1（HRAS），cellular tumor antigen p53 （TP53），mitogen-activated protein kinase 8 （MAPK8），transcription factor AP-1（JUN），glycogen synthase kinase-3 beta（GSK3B），tumor necrosis factor（TNF），cyclin-dependent kinase inhibitor 1（CDKN1A），cAMP-dependent protein kinase catalytic subunit alpha（PRKACA），cysteine aspartate-specific protease-9（Caspase-9），cyclic AMP-responsive element-binding protein 1（CREB1），exerting gastrointestinal motility and antidepressant，anti-inflammatory，anti-tumor，etc.； molecular docking shows that nobiletin，neohesperidin，meranzin，naringin and D-limonene and the selected 10 core targets have good binding ability，reflecting the better biological activity of the Q-Marker of Jiangxi Aurantii Fructus. ConclusionThe Q-Marker of Jiangxi Aurantii Fructus can be comprehensively predicted from the two aspects of volatile and non-volatile components，providing a reference for the quality control of Jiangxi Aurantii Fructus and the further study of its pharmacodynamic mechanism.
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OBJECTIVE To establish the fingerprints of Ligusticum sinense from different habitats ，screen differential components and determine their contents. METHODS Using Z-ligustilide as reference ，HPLC fingerprints of 12 batches of L. sinense were established by using Similarity Evaluation System of Chromatographic Fingerprints of TCM （2012 edition）；common peaks were identified and their similarities were evaluated. Cluster analysis （CA），principal component analysis （PCA）and orthogonal partial least squares-discriminant analysis （OPLS-DA）were performed to screen differential components with variable importance in the projection （VIP）＞1 as standard ；meanwhile，the contents of above differential components were determined by the same HPLC method. RESULTS There were 17 common peaks in the fingerprints of 12 batches of L. sinense ，and their similarities ranged 0.989-1.000. A total of 9 common peaks were identified ，i.e. chlorogenic acid （peak 1），ferulic acid （peak 2）， senkyunolide Ⅰ（peak 7），coniferyl ferulate （peak 9），E-ligustilide（peak 13），senkyunolide A （peak 14），Z-ligustilide（peak 17）. CA results showed that 12 batches of L. sinense were divided into 3 categories，S1-S5（Wuning）were clustered into one category，S6-S8（Ruichang）were clustered into one category ，S9-S12（De’an）were clustered into one category ；the VIP values of peaks 2，13，14 and 17（corresponding to ferulic acid ，E-ligustilide，senkyunolide A ，and Z-ligustilide respectively ）were all greater than 1，respectively. In S 1-S5，S6-S8 and S 9-S12 samples，the contents of ferulic acid were 0.488-0.533，0.603-0.658 and 0.415-0.433 mg/g，respectively；senkyunolide A were 1.184-1.295，1.450-1.588 and 1.307-1.377 mg/g，respectively；E-ligustilide were 0.118-0.125，0.130-0.135 and 0.223-0.229 mg/g，respectively；Z-ligustilide were 7.200-7.681，8.076-8.643 and 4.508-4.996 mg/g， respectively；the differences between two groups were statisti-cally significant （P＜0.05）. CONCLUSIONS Established ARS-11）；fingerprint is simple and accurate ，and can be used for overall quality evaluation of L. sinense from different habitats by combining with multivariate statistical analysis. Ferulic acid ， senkyunolide A ，Z-ligustilide and E-ligustilide may be the differential components that affect the quality of L. sinense from different habitats ，the contents of the first 3 components in L. sinense from Ruichang are the highest ，and the content of E-ligustilide in samples from De’an is the highest.
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AIM To study the phenols from Plantaginis Semen.METHODS The 65％ and 95％ ethanol extracts of Plantaginis Semen were isolated and purified by macroporous resin,silica,ODS,Sephadex and preparative column,then the structures of obtained compounds were identified by physicochemical properties and spectral data.RESULTS Nine compounds were isolated and identified as (+)-(7R,7'R,8S,8'S)-neo-olivil (1),erythro-guaiacylglycerol-β-ferulic acid ether (2),eriodictyol (3),luteolin (4),chrysoeriol (5),hydroxytyrosol (6),4-(3,4-dihydroxyphenyl)-(E)-3-buten-2-one (7),ferulic acid (8),5,7-dihydroxychromone (9).CONCLUSION Compounds 2-3,6-7 and 9 are isolated from genus Plantago for the first time,compound 5 is first obtained from this plant.
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This study was aimed to compare the expectorant and antitussive actions ofPlatycodon grandilforum from different production areas in order to provide references for its cultivation and production. The antitussive activities ofP. grandilforum water extract from different areas were investigated through testing the cough times induced by ammonium hydroxide in mice. And the expectorant activities were studied by testing the amount of tracheal phenolsulfonphthalein excretion in mice. The results showed that the minimum effective dose ofP. grandiflorum fromChifeng of Inner Mongolia was 0.2 g·kg-1. Under this dosage,P. grandiflorum fromChifeng of Inner Mongolia can significantly reduce the cough frequency in mice (P < 0.01), and significantly prolong the cough incubation period in mice (P < 0.01).P. grandiflorum fromSichuan province,Shangzhou ofShaanxi province andChongqing can significantly decrease the cough frequency in mice (P < 0.05). P. grandiflorum from Sichuan province,Shangzhou ofShaanxi province andChifeng of Inner Mongolia can significantly increase the phenolsulfonphthalein excretion quantity in mice (P < 0.05). It was concluded thatP. grandilforum was effective for relieving cough and removing sputum. The effect ofP. grandilforum fromChifeng of Inner Mongolia was obviously stronger than that from other areas.
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The HPLC fingerprint differences ofRadix Platycodonis from different origins were studied to provide references for their quality control and production. The total platycodins were purified by DB101 macroporous resin. HPLC-ELSD fingerprints of the total platycodins for 39 batches ofRadix Platycodonis samples from 9 provinces were performed on an Agilent HC-C8 column (4.6 mm x 250 mm, 5μm) with gradient elution. The mobile phase was acetonitrile-0.5% acetic acid. The injection volume was 6μL. The flow rate was 0.5 mL·min-1. The temperature of drift tube was set at 90℃. And the gas flow (N2) was set at 1.2 mL·min-1. The results showed that there were large differences in the quality ofRadix Platycodonis from different origins with the common fingerprints of 6 batches of samples fromChifeng in Inner Mongolia as references. The quality ofRadix Platycodonis was closely related to the seeds, the ecological environment, the way of drying and storing and so on. It was concluded that it was important to strengthen the provenance base construction, standardization of the seeds, reasonable formulation of the regionalization, and standardization of the production processing for the cultivation and production ofRadix Platycodonis.
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<p><b>OBJECTIVE</b>To establish a method of comprehensive chemical pattern recognition of plantain seed via HPLC fingerprint, principal component analysis (PCA) and cluster analysis.</p><p><b>METHOD</b>The chromatographic separation was performed on a C18 column (4.6 mm x 250 mm, 5 microm). The mobile phase was a mixture of acetonitrile-0.5% acetic acid aqueous solution in gradient elution. The HPLC fingerprint of ethyl acetate fraction of 24 batches Plantaginis Semen from different habits and varieties was set up and 10 common peaks were obtained.</p><p><b>RESULT</b>The result of the principal component analysis (PCA) and cluster analysis is similar but there is disparity between them.</p><p><b>CONCLUSION</b>The method could be used for the quality control and comprehensive evaluation of Plantaginis Semen.</p>