The total glycoside extracted from the root of cynanchum oiophy-llum schneid ( COS ) has anticonvulsant activity. Its effect on synap-tosomal amino acid contents and brain enzyme activities in mice were studied in this paper. After the ip administration of COS, the content of GABA was increased, and that of Glu and Asp decreased, in synaptosomes of both normal and TSC induced convulsant mice, while the content of Gin remained unchanged. A fall in the activities of GDH, glutaminase and asparaginase in whole brain was seen. No changes were observed in the activities of GPT, GOT and glutamine synthetase.

0. 20) after D test of normality. The normal range of GEMP was 63. 11-72. 94 ?mol fructose/L (P= 95%). When clinical cardiovasculopathy, nephropathy, retinopathy,peripheral neuropathy and auditus reduction in the aged were compared between two groups of diabetic patients, one with normal and another with abnormal values of GEMP, the clinical indices, excepting cardiovasculopathy, were significantly different between the groups.

Objective to investigate the clinical effect of negative pressure suction by double caping pipe on cervical esophagus fistula after esophageal carcinoma surgery,and search for the effective treatment of cervical anastomotic fistula after esophageal carcinoma surgery.Methods The clinical data of 140 patients with cervical esophagus fistula after esophageal carcinoma surgery in Nanjing General Hospital of Nanjing Command from September 2004 to September 2015 were retrospective analyzed.Among them,85 cases were treated with low negative pressure suction by double caping pipe as experimental group,55 cases were treated with conventional drainage and dressing as the control group.The length of hospital stay,healing time,dressing frequency,neck bleeding risk,anastomotic stenosis and mortality rate between two groups were analyzed and compared.Results The length of hospital stay,the time of wound healing,the frequency of wound change dressing,the rate of neck bleeding in experimental group were (15.94± 1.57)d,(8.00± 1.55)d,(6.22± 1.52)times,1.18％ respectively,significantly lower than that of control group ((23.64 ± 2.36) d,(15.64 ± 2.08) d,(27.56±3.58) times,12.24％;P=0.000,0.000,0.000,0.029).While the rate of anastomotic stenosis after half a year in experimental group was 17.65％,lower than that of the control group (23.64％),the difference was no significant(P=0.387).Conclusion The treatment on cervical esophagus fistula with low negative pressure suction by double caping pipe has superiorities on hospitalization and healing time,dressing frequency,neck bleeding risk,mortality,and does not increase the incidence of anastomotic stenosis,and it can achieve a better therapeutic effect compare with the conventional drainage and dressing.

Objective The localization of pulmonary nodules in surgery remains a clinical challenge .In this study we dis-cussed the diagnostic and treatment value of CT-guided coil localization followed by real-time digital subtraction angiography ( DSA)-guided accurate resection of solitary pulmonary nodules (SPN) with video-assisted thracoscopic surgery (VATS). Methods This study involved 82 cases of SPN treated in the Department of Cardiothoracic Surgery of Jinling Hospital from September 2011 to May 2014 .The SPNs were preoperatively positioned by placing a metal coil close to the lesion under CT guidance on the same day of surger -y.Then VATS wedge resection of the SPNs was performed under the guidance of real -time DSA and further procedures followed in ac-cordance with the results of intraoperative pathology . Results The success rate of coil localization was 100%, the mean time of po-sitioning was (15.3 ±3.2) min, and the mean time of VATS wedge resection was (24.2 ±12.1) min.Pathological results revealed 45 cases of malignancy and 37 cases of benign lesions . Conclusion Preoperative CT-guided coil localization of SPNs showed a high accuracy and no serious complications , and by real-time DSA-guided VATS that immediately followed , the nodules could be precisely removed with the cutting edge 2 cm above the lesion , which achieved both the purposes of diagnosis and treatment of SPNs .

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.

Objective:To explore the pathogenesis of flunarizine-induced parkinsonism from gut-brain axis perspective.Methods:Thirty male C57BL/6 mice were randomly divided into control group and flunarizine group ( n=15). Mice in the control group were given 0.1 mL 50% polyethylene glycol 400+50% saline by gavage once/d for 2 weeks, while mice in the flunarizine group were given 6 mg/mL flunarizine+50% polyethylene glycol 400+50% saline by gavage at a daily dose of 30 mg/kg for 2 weeks. Body mass was recorded 1, 3, 5, 7, 10 and 14 d after drug administration, and motor function was assessed by rotarod test 14 d after drug administration; 16s RNA sequencing was performed in the feces to observe the intestinal flora; intestinal transit function was detected by Evans blue by gavage; and then, the mice were sacrificed and homogenate or frozen sections (brain and intestinal tissues) were prepared; dopamine-ergic neuron expression was detected by Western blotting; RT-qPCR was applied to detect the expressions of inflammatory factors in the substantia nigra, and immunofluorescent staining was used to detect the expressions of ZO-1 and Claudin-5 in the intestinal epithelial tissues. Results:Compared with the control group, the flunarizine group had lower body mass ratio 1, 3, 5, 7, 10 and 14 d after drug administration (ratio to body mass before drug administration). Compared with the control group, the flunarizine group had significantly shortened residence time in rod rotating and lower rotational speed when falling ( P<0.05). Compared with the control group, the flunarizine group had decreased tyrosine hydroxylase protein in the substantia nigra without significant difference ( P>0.05). Compared with the control group, the flunarizine group had significantly increased interleukin-6 and tumor necrosis factor-α in the substantia nigra (1.00±0.00 vs. 2.79±0.83; 1.00±0.00 vs. 3.39±1.37), significantly lower intestinal Evans blue propulsion rate (80.67%±4.51% vs. 50.67%±6.03%), and statistically decreased ZO-1 and Claudin-5 expressions in the colonic epithelial tissues (27.01±1.41 vs. 16.32±2.83; 37.00±2.80 vs. 24.52±2.12, P<0.05). Totally, 576 microorganisms were noted in both control group and flunarizine group, 744 in the control group alone, and 634 in the flunarizine group alone. The intestinal flora β diversity indices in the 2 groups were significantly different based on weighted Unifrac-principle coordinates analysis (PCoA, PCoA1: 39.88%; PCoA2: 30.69%). Compared with the control group, the microbial colony structure of mice in flunarizine group was dominated by phylum thick-walled bacteria and phylum warty microbacteria, and by families Muribaculaceae, Lachnospiraceae and Akkermansiaceae. Compared with the control group, the flunarizine group had significantly decreased relative abundance of Ackermannia spp. and Lactobacillus spp. in the intestinal flora ( P<0.05). Conclusion:Flunarizine may contribute to the pathogenesis of DIP by causing structural disturbances in the intestinal flora and inducing neuroinflammation based on the gut-brain axis.

Flap endonuclease 1 (FEN1) is an endonuclease that catalyzes invasive reaction. It can be used in signal-amplification reaction-based nucleic acid assay. However, the application of FEN1 is hampered due to the lack of detailed protocols to express and purify the enzyme, and to quantify the enzyme activity. In this paper, the DNA fragment coding the gene of FEN1 from Archaeoglobus fulgidus was synthesized, and inserted into the plasmid of pET24a(+) to express recombinant FEN1 with His-tag. After optimizing the expression, detailed expression protocol of FEN1 was obtained by culturing the recombinant E. coli at 37 ℃ with 200 r/min of shaking for 8 h, followed by inducing with 0.05 mmol/L IPTG at 37 ℃ for 11 h. The purified recombinant FEN1 with the molecular mass of 38 kDa was obtained by Ni-affinity chromatography. Moreover, we developed a accurate quantification method with fluorescence-labelled probes. Finally, the recombinant FEN1 was used in real-time PCR coupled with high specific invader assay for aldh2 gene genotyping to obtain the correct typing results, indicating that the recombinant FEN1 can be used in gene polymorphism detection. We provide a reliable enzyme for developing invasive reaction-based nucleic acid assay.