Objective:To develop an HPLC method for the simultaneous determination of flavonoids and phenolic acids in Herba Gnaphalium Affinis. Methods:The analysis was carried out on a Diamonsil C18 column (200 mm × 4. 6 mm, 5μm) with gradient elu-tion using methanol-0. 4% phosphoric acid as the mobile phase. The flow rate was 1. 0 ml·min-1 and the detection wavelength was 327 nm for flavonoids and 360nm for phenolic acids,the column temperature was 30℃, and the sample size was 10 μl. Results:The calibration curves were linear over the range of 0. 041-0. 821 μg for chlorogenic acidrutin, 0. 127-2. 549 μg for 3, 5-O-dicaffeoyl quin-ic acid, 0. 020-0. 411 μg for quercetin and 0. 040-0. 806μg for luteolin. The average recovery was 98. 31% ( RSD = 1. 19%), 97. 51%(RSD=1. 52%), 98. 29%(RSD=1. 22%) and 98. 73%(RSD=1. 47%), respectively. Conclusion:The described meth-od is simple and reproducible, which can be used for the quality control of Herba Gnaphalium Affinis.

OBJECTIVE:To establish a method for determination the genotoxicity impurities (methyl methanesulfonate,ethyl methanesulfonate and isopropyl methanesulfonate) in mesylate nafamostat raw materia. METHODS:GC-MS was conducted,and the genotoxicity impurities were extracted by dichloromethane. The column was DB-5 capillary column by programmed tempera-ture,the inlet temperature was 240 ℃,column flow was 3.0 ml/min,purge flow was 6.0 ml/min,sample mode splitless injection, carrier gas was high purity helium,detector is a mass spectrometer detector,ion source temperature was 230 ℃,the interface tem-perature was 230 ℃,the delay time of solvent was 2.5 min,ionization mode was electron impact,detector voltage was respect to the tuning results,scanning(detection)method was selective ion monitoring,electron energy was 70 eV,and the injection volume was 1.0μl. RESULTS:The separation degree of 3 impurities were greater than 2.0;the linear range of 3 impurities were 0.10-20μg/ml (r≥0.999 5);RSDs of precision,stability and reproducibility tests were lower than 2%;recoveries were 97.7%-104.8%(RSD=2.8%, n=9),102.5%-110.7%(RSD=2.6%,n=9)and 103.0%-107.6%(RSD=1.6%,n=9). CONCLUSIONS:The method is simple, accurate,sensitive and rapid,and can be used for the genotoxicity impurities in mesylate nafamostat raw materia.

Objective To investigate the value of renal CT arteriography in the preoperation evaluation of patients with renal tumors.Methods From Jan 2007 to June 2012,372 patients with renal tumors took renal CT arteriography (with Philips Brilliance 16) to evaluate the variations of their renal arteries.We executed plain scan first,then artery phase,venous phase scan and delaying scan by turns after injections of Omnipaque.All images were delivered to imaging workstation and reconstructed to 3D views of renal arteries to supply imageological supports for surgeons.Results Tumors in solitary kidneys were detected in 21 patients,and masses in both kindneys were detected in 4 cases.We collected data of 376 kidneys finally.We found premature branching renal arteries on 46 kidneys (12.2％) and accessory renal arteries on 74 kidneys (19.7％).Double accessory renal arteries were seen on 10 kidneys (2.7％),and there were 84 accessory renal arteries in summary.7 accessory renal arteries (7.2％) came from arteria phrenica and 77 (91.7％) came from abdominal aorta (x2 =65.68,P ＜ 0.01).We found the regions where the accessory renal arteries entered kidneys:65.5％ (55/84) in upper poles,19.0％ (16/84) in central regions and 15.5％ (13/84)in inferior poles.Routine CT scans found 44 variations of renal arteries in 218 cases who underwent surgeries,and then renal CT arteriography found 63 variations in the same cases (20.2％ vs 28.9％,x2 =4.47,P ＜ 0.05).Finally,surgeons found 60 variations of renal artries in operations in the 63 cases with variations found by renal CT arteriography before surgeries.Conclusions There is limitations of routine CT scan (plain scan and with contrast medium) in detection of renal artery variations.Renal CT arteriography can supply reliable supports for establishment of surgical plans for renal tumors.

To study the effects of salidroside-pretreatment on changes of neuroethology in rats with global cerebral ischemia-reperfusion injury so as to investigate its probable mechanism.

The development of high throughput sequencing technology has promoted the development of many related spheres of research .Many research institutions are studying algorithms of microorganism detection using high throughput se -quencing data .Some algorithms have already been designed and published .In this paper , we investigated the literature re-garding the use of high throughput sequencing data for microorganism detection , studied the function and workflow of four released algorithms of microorganism detection based on high throughput sequencing data , and analyzed their advantages and disadvantages.Finally, we summarized how these detection algorithms were designed and classified them before we proposed ways of improvement .

AIM: To study the influence of injection agent of pidotimod on function of the immune-system in normal and immune-depressed mice, and to investigate the mechanisms of the immunomodulating action of pidotimod. METHODS: The expressions of TNF-? and IL-6 in mice spleen was detected by RT-PCR method. The effects of pidotimod on phagocytosis functions of mice peritoneal exudate cells was investigated by neutral red phagocytosis. The lymphocyte proliferations induced by Con A or LPS were detected by MTT method. Adopt the serum haemolysis to measure the production of serum antibody. RESULTS: The normal and immune-depressed mice were treated for 14 days with different dosages of pidotimod by injection. Pidotimod can significantly increase the expressions of TNF-? and IL-6 of spleen, potentiate phagocytosis of the peritoneal exudate cells, potentiate the lymphocyte proliferations ability induced by Con A or LPS. CONCLUSION: Pidotimod can potentiate amelioration normal and immune-depressed mice immunesystem function and increase expressions of TNF-? and IL-6 of spleen.

OBJECTIVETo compare the antitussive activity of three kinds of Stemonae Radix specified in the Chinese Pharmacopoeia, including roots of Stemona sessilifolia, S. japonica and S. tuberosa.

METHODThe antitussive activity was determined in mouse after cough induction by ammonia aerosol stimulation and the number of cough in 2 min were detected with codeine as positive control.

RESULTAll the decoctions, the total alkaloid fractions and non-alkaloid fractions of S. sessilifolia, S. japonica and three chemical types of S. tuberosa showed significant antitussive effect and exhibited a dose-dependent inhibition of coughing. The ED50 values showed that the antitussive activity strength for both total alkaloid fractions and the decoctions are: S. tuberosa (Type I) > S. sessilifolia > S. japonica. The total alkaloid fractions had more potent atitussive activity than the decoctions and non-alkaloid fractions. The antitussive activity strength for the three chemical types of S. tuberosa is: Type I > Type III > Type II. The samples from different producing areas for the same species of Stemonae Radix had no significant differences in antitussive activity. The result also showed that the honey-processed slice had much stronger antitussive activity than raw slice.

CONCLUSIONThe antitussive efficacies of Stemonae Radix were influenced by chemical diversity both in same species and among different species, different fractions and processed method.

Animals ; Antitussive Agents ; administration & dosage ; Cough ; drug therapy ; Disease Models, Animal ; Drugs, Chinese Herbal ; administration & dosage ; Humans ; Male ; Mice ; Mice, Inbred ICR ; Stemonaceae ; chemistry

Objective To establish the method of fingerprint and content determination of multi-component for Xiangsha Yangwei pill by gas chromatography(GC).Methods The GC fingerprint of Xiangsha Yangwei pill was found,and the peak attribution was carried out.The contents of limonene,eucalyptol,camphor,borneol,bornyl acetate,patchouli alcohol,pogostone,and α-cyperone were determined.Results The fingerprint similarity of 56 batches of Xiangsha Yangwei pill were 0.33-0.99,28 common peaks were confirmed,and 14 known components were identified.Limonene,eucalyptol,camphor,borneol,bornyl acetate,patchouli alcohol,pogostone and α-cyperone showed good linearity within the determined ranges(14.30-286.08,24.52-490.44,16.14-322.88,9.40-187.95,15.39-307.83,25.78-515.60,19.95-398.90,and 24.87-497.30 μg·mL-1).The average recoveries were 101.20％,97.90％,93.97％,94.23％,102.94％,100.54％,99.16％,and 98.31％;with the RSDs were 2.41％,1.48％,1.65％,2.00％,1.93％,2.30％,2.07％,and 2.38％,respectively.The concentrations of eight components were 0.2-959.1,0.3-420.4,1.0-542.6,0.0-64.5,0.0-364.2,0.0-339.6,0.0-130.7,0.0-82.0 μg·g-1,respectively.Conclusion The fingerprint and multi-component determination method can be used for the quality control and evaluation of Xiangsha Yangwei pill.

Objective:To explore the value of machine learning models based on multiple structural MRI features for diagnosis of Parkinson disease (PD).Methods:The clinical and imaging data of 60 PD patients (PD group) diagnosed in the Neurology Department of the Second Affiliated Hospital of Soochow University from November 2017 to August 2019 and 56 normal elderly people (NC group) recruited from the community were retrospectively analyzed. All subjects underwent brain MR imaging. Multiple structural MRI features were extracted from cerebellum, deep nuclei and of brain cortex based on different partition templates. The Mann-Whitney U test, as well as least absolute shrinkage and selection operator regression were used to select the most discriminating features. Finally, logistic regression (LR) and linear discriminant analysis (LDA) classifier combined with the 5-fold cross-validation scheme were used to construct the models based on structural features of cerebellum, deep nuclei and cortex, and a combined model based on all features. The receiver operating characteristic curves were drawn, and the diagnostic performance and clinical net benefit of each model were evaluated by the area under curve (AUC) and the decision curve analysis (DCA). Results:In total, four cerebellum (asymmetry index of Lobule Ⅵ volume, asymmetry index of Lobule ⅦB cortical thickness, asymmetry index of total gray matter volume and absolute value of right Lobule Ⅵ gray matter volume), 3 deep nuclei (absolute value of right nucleus accumbens volume, absolute and relative value of total nucleus accumbens volume) and 3 cortex features (local gyration index of left PFm, local fractal dimension of right superior frontal gyrus and sulcal depth of left superior occipital gyrus) were selected as the most discriminating features, and the related models were constructed. In validation set, the AUC of cerebellum, deep nuclei, cortex and combined models for diagnosis of PD based on LR classifier were 0.692, 0.641, 0.747 and 0.816; the AUC of cerebellum, deep nuclei, cortex and combined models for diagnosis of PD based on LDA classifier were 0.726, 0.610, 0.752 and 0.818. The diagnostic efficiency of the combined models based on LR and LDA classifiers were significantly better than those of other models ( P<0.05). The DCA curve demonstrated that the combined models based on LR and LDA classifiers showed the highest clinical net benefit. Conclusion:The combined models with all structural features of cerebellum, deep nuclei and cortex included based on LR and LDA classifiers showed favorable performance and clinical net benefit for diagnosis of PD, which have the potential application value in clinical diagnosis.