OBJECTIVETo study the extraction technology with CO2 supercritical fluid in Chinese Traditional Medicine by extracting the anthraquinones ingredients from Salvia miltiorrhiza and Polygonum caspidatum.

METHODExtractions were made under different pressure, temperature, extraction time, entrainer, and the extracts were analyzied by TLC and HPLC.

RESULTThe technology could be used in extraction and isolation. Under certain conditions, different contents of the extracts could be obtained.

CONCLUSIONCO2 supercritical fluid is good at extracing low polarity ingredients, and it shows the evident individurity in extraction of Chinese herb. The technological factors in industrial usage must be thought of all over.

Carbon Dioxide ; Chromatography, Supercritical Fluid ; methods ; Diterpenes, Abietane ; Drugs, Chinese Herbal ; isolation & purification ; Emodin ; analogs & derivatives ; isolation & purification ; Phenanthrenes ; isolation & purification ; Plants, Medicinal ; chemistry ; Polygonum ; chemistry ; Pressure ; Salvia miltiorrhiza ; chemistry ; Temperature

To study the triterpenoids from the roots of Rosa laevigata. The silica gel column chromatography was used to separate the chemical constituents from the roots of Rosa laevigata Michx. HPLC was used to analyze its purity, chemical and spectroscopy methods were used to determine their structures. 12 constituents were isolated and identified as(2R, 19R)methyl 2-acetyloxy-19- hydroxyl-3-oxo-urs-12-en-28-carboxylate(1), pomonic acid (2), 18, 19-seco, 2α, 3α-dihydroxy-19-oxo-urs-11, 13(18)-dien-28-oic acid(3), swinhoeic acid (4), myrianthic acid(5), 2α, 3β, 19α-trihydroxy-24-oxo-urs-12-en-oic acid (6), tormentic acid(7), arjunic acid (8), 1β-hydroxyeuscaphic acid(9), quadranoside Ⅷ (10), alpinoside(11), rubuside B (12). Compounds 1-4, 6, 9, 11-12 were obtained from this plant for the first time. Compounds 2-4, 6, 11-12 were obtained from the genus Rosa for the first time.

Objective To investigate the clinical application value of predicting the severity of acute pancreatitis(AP)based on MRI-T2WI radiomics nomogram.Methods A total of 375 patients with AP were analyzed retrospectively,who were divided into 281 cases in the training group and 94 cases in the validation group according to the ratio of 3∶1.Based on MRI-T2WI image,man-ual segmentation was performed for the pancreatic parenchyma.The radiomics feature were selected by feature extraction and dimen-sionality reduction,the support vector machine(SVM)classifier were used to construct the radiomics model.Logistic regression analysis was used to screen out independent risk factors,and an radiomics nomogram model was constructed in combined with the Radiomics score(Radscore),and the predictive performances of the models were evaluated.Results Receiver operating characteristic(ROC)curve analysis showed that the predictive efficacy of radiomics nomogram model[training group,area under the curve(AUC)=0.893;val-idation group,AUC=0.889]was higher than that of clinical model(training group,AUC=0.799;validation group,AUC=0.809)and radiomics model(training group,AUC=0.814;validation group,AUC=0.823).Conclusion The radiomics nomogram based on MRI-T2WI radiomics features and independent risk factors has high clinical application value for the prediction of AP severity.

This study was designed to investigate triterpenoids from the roots of Rosa laevigata Michx. The silica gel column chromatography was used to separate the chemical constituents from the roots of Rosa laevigata Michx. HPLC was used to analyze its purity and chemical constitution. Spectroscopy methods were used to determine their structures. Five constituents were isolated and identified as19α-OH-3β-E-feruloyl corosolic acid (1), 23-hydroxy-tormentic acid (2), 2α, 3β, 19α, 23-tetrahydroxy-12-en-28-oleanolic acid (3), 2α, 3α, 20β-trihydroxyurs-13 (18)-en-28-oic-acid (4), 2α, 3β, 20β-trihydroxyurs-13 (18)-en-28-oic-acid (5). Compound 1 was assigned as a new compound, compounds 4, 5 were obtained from the genus Rosa for the first time.

OBJECTIVE To study the chemical composition and analgesia molecular mechanism of Shuanghu Zhongtongning tincture by UPLC-Q-TOF-MS/MS and network pharmacology. METHODS By comparing the chromatogram and blank chromatogram of Shuanghu Zhongtongning tincture, combined with PubChem, HMDB, MassBank database spectrum and the lysis information of reference substance, the chemical composition of Shuanghu Zhongtongning tincture was analyzed and identified. Protein-protein interaction network was constructed by using STRING database, and potential targets of analgesic effect of Shuanghu Zhongtongning tincture were screened. And GO and KEGG enrichment analysis were performed to analyze the core pathways related to analgesia. The network of "chemical composition-disease-target" was constructed by Cytoscape software to analyze the key compounds related to analgesia. RESULTS Seventeen core components of neochlorogenic acid, chlorogenic acid, hesperidin, neohesperidin, ferulic acid, berberine, ursolic acid, deoxyaconitine, mesaconitine, hypaconitine, benzoylmesaconine, benzoylhypacoitine, caffeic acid, quercetin, oleanolic acid, 4-hydroxycinnamic acid and mefenamic acid were identified, 3 core targets of STAT3, MAPK3 and MAPK1 were found, and 4 key signaling pathways of IL-17, TNF, PI3K-Akt and arachidonic metabolism were revealed. CONCLUSION This study preliminarily clarifies the chemical composition of Shuanghu Zhongtongning tincture and potential mechanism of analgesic effect, and provides a scientific theoretical basis for the study on the material basis and mechanism of Shuanghu Zhongtongning tincture.