Humans ; Otorhinolaryngologic Surgical Procedures ; methods ; Quinolones ; therapeutic use ; Respiratory System Agents ; therapeutic use

Objective To investigate the influence of Levetiracetam(LEV) and Topiramate(TPM) on P-glycoprotein(P-gp) expression at brain in the epileptic rats.Methods The epileptic rat models were made with 1.5 ?g(3 ?l) Kainic acid stereotaxic injected into male SD rats' hippocampi(epilepsy group) and the control group rats were injected with 3 ?l normal saline(NS).The rats in epilepsy group(18 rats) and control group(15 rats) were randomized into TPM,LEV and NS subgroups(6 or 5 rats for each subgroup) to receive once-daily orally feeding of TPM(50 mg/kg),LEV(40 mg/kg) and NS(same amount NS) for 30 d.Immunohistochemistry(EnVision) was used to measure the level of P-gp exprssion in the rats brain.The level of P-gp expression was semi-quantitatively analyzed by mean integrated blue(MIB) value in Leica Qwin imaging analysis & measuring system.Results The expression levels(MIB value) of P-gp in hippocampus and temporal lobe in epilepsy subgroups were significantly higher than those in the corresponding control subgroups(P

Adult ; Aged ; Aged, 80 and over ; DNA Primers ; Female ; Humans ; Lymphoma ; genetics ; Male ; Middle Aged ; Mutation ; Myeloid Differentiation Factor 88 ; genetics ; Polymerase Chain Reaction

Objective To explore the medication rules of national TCM masters’ treatment for phymatosis. Methods The prescriptions for phymatosis of national TCM masters were collected to build a database. The methods of association rules with apriori algorithm and complex system entropy cluster were used to achieve frequency of individual herbs, frequency of medicine combinations, association rules of herbs and core medicine combinations. Results In the prescriptions for phymatosis, Chinese medicinal herbs with the highest frequency were Astragali Radix, Pinelliae Rhizoma, Poria, Herba Oldenlandiae, Rehmanniae Radix Exsiccata, and so on. Medicine combinations with the highest frequencywere Atractylodis Macrocephalae Rhizoma-Poria, Citri Reticulatae Pericarpium-Poria, Atractylodis Macrocephalae Rhizoma-Codonopsis Radix, and Poria-Codonopsis Radix. The medicine association rules of confidence coefficient 1 were Sparganii Rhizoma→Curcumae Rhizoma, and Moutan Cortex, Persicae Semen→Paeoniae Radix Rubra. The new prescriptions composited by “Curcumae Rhizoma, Sparganii Rhizoma, Manis Squama, Prunella Spica, Dipsacus Asperoides”, or “Paridis Rhizoma, Adenophorae Radix, Gleditsiae Spina, Sargassum, Laminariae Thallus”. Conclusions Chinese medicinal herbs used in the prescriptions of national TCM masters for the treatment of phymatosis were often with the actions of invigorating the spleen and benefiting qi, clearing away heat and toxic material, and promoting blood circulation to remove blood stasis, which were complied with the medication rule of treating both the incidental and fundamental aspects in TCM.

Objective To evaluate the effects of ultrasonic scalpel and traditional electrocautery on postoperative complications in axillary dissection for breast cancer treatment.Methods The clinical data of 92 breast cancer patients with axillary dissection were analyzed retrospectively.The surgical proce-dures were randomly chosen by patients,including 37 cases with ultrasonic scalpel and 55 cases with elec-trocautery.Both groups were compared in operation time,number of harvested lymph nodes,postoperative drainage in 24 h,seroma formation rate,and drain removal time.Results There were no significant differ-ences in operation time[(148.2 ±30.4)min vs(143.5 ±40.8)min],number of harvested lymph nodes (17 nodes vs 16 nodes),and drain removal time[(16.0 ±5.3)d vs(16.7 ±4.4)d]between ultrasonic scalpel group and electrocautery group(P >0.05 ).There were significant differences in postoperative drainage [(118.8 ±65.8)ml vs(159.2 ±71.3)ml]and seroma formation rate(8.1% vs 20%)between ultrasonic scalpel group and electrocautery group(P <0.01).Conclusion For breast cancer,ultrasonic scalpel is similar to electrocautery in axillary dissection,but it can reduce postoperative complications.

Animals ; Apigenin ; pharmacology ; Female ; Follicle Stimulating Hormone ; blood ; Gonadotropin-Releasing Hormone ; blood ; Luteinizing Hormone ; blood ; Phytoestrogens ; pharmacology ; Rats

In this study, based on web database, 324 neurotoxic compounds and 234 non-neurotoxic compounds were selected as a data set for neurotoxicity discriminative model. 6 122 molecular descriptors, including charge distribution, physicochemical and geometrical descriptors,were calculated to characterize the molecular structure of neurotoxic compounds. The combination of Cfs Subset Evaluation and Best First-D1-N5 searching was used to select molecular descriptors. A discrimination model with high accuracy was built based on the support vector machine (SVM) approach. Meanwhile, the model accuracy, sensitivity and specificity were all above 80%. Besides, 30 traditional Chinese medicine compositions with neurotoxicity were set as external validation to further verify the model accuracy,with anaccuracy of 73.333%. Using the model, 13 potential neurotoxic compounds were screened from Sophorae subprostrate Radix,4 of them were verified by literatures. The results demonstrated that the discrimination model can be applied to screen neurotoxic compounds from Chinese medicinal materials.
Computer Simulation ; Drug Evaluation, Preclinical ; methods ; Medicine, Chinese Traditional ; methods ; Models, Theoretical ; Neurotoxins ; analysis ; chemistry ; Reproducibility of Results ; Support Vector Machine

On the basis of web databases, 111 compounds with nephrotoxicity and 90 compounds without nephrotoxicity were collected as data set of nephrotoxicity discrimination model, 39 compounds with tubular necrosis and 39 compounds without tubular necrosis were collected as data set of tubular necrosis discrimination model. The 6 122 molecular descriptors, including physicochemical, charge distribution and geometrical descriptors were calculated to characterize the molecular structure of the above-mentioned compounds. CfsSubsetEval valuation method and BestFirst-D1-N5 searching method were used to select molecular descriptors. Two models with high accuracy were built based on the support vector machine (SVM) approach, respectively. Accuracy, sensitivity, specificity and matthew's correlation coefficient of the two models were all above 70%. By using 22 nephrotoxicity compounds of Chinese medicine, the nephrotoxicity discrimination model was further verified with an accuracy of 72.73%. Using the tubular necrosis discrimination model, 10 potential compounds which can cause tubular necrosis were screened from the positive results of nephrotoxicity discrimination model, 6 of them have been verified by literatures. The results demonstrated that the discrimination models can be applied to screen nephrotoxic compounds from Chinese medicinal materials, and they also offer a new research idea for the further studies on the mechanism of nephrotoxicity.
Drugs, Chinese Herbal ; toxicity ; Nephrons ; drug effects ; Support Vector Machine ; Toxicity Tests ; instrumentation ; methods

Objective To improve the ventilation mode for respiratory failure based on the self-made respirator. Methods For the conscious COPD patients with type II respiratory failure, nasal mask and NEEP ventilation mode were used. Patients breathe in air through the mouth and breathe out through the noses. There is no need of manual control tube to control the negative pressure in the nasal mask. For the non-typical type I respiratory failure, exhaled gas comes out from the one-way channel in the front of the mask, while oxygen for the next breathes is brought into the ball through the tube under it. Results The COPD patients breathe more freely and smoothly without disturb of the manual control tube. On the non-typical type I respiratory failure, FiO2 is much higher and without breath in CO2. Conclusion The new ventilation mode can provide a great range of FiO2 and get ride of redundant CO2. It's beneficial to the recovery of patients.

Objective To investigate the medication rules for the treatment of hepatopathy by national medical masters. Methods The prescriptions for hepatopathy were collected to build a database based on Traditional Chinese Medicine (TCM) inheritance assist system. After analyzed by the data mining, such as apriori algorithm and complex system entropy cluster, the frequency of single medicine and drug combinations that used in prescriptions, and the association rules among drugs were obtained. Results The most frequently used drugs were Herba Artemisiae Capillaris, Tuckahoe, Radix Salviae Miltiorrhizae, Rhizoma Atractylodis Macrocephalae, and Radix Bupleuri, et al. The most frequently used drug combinations were “Radix Salviae Miltiorrhizae, Tuckahoe”, “Rhizoma Atractylodis Macrocephalae, Tuckahoe”, and “Radix Salviae Miltiorrhizae, Herba Artemisiae Capillaris”, et al. And when the confidence of drug association rules was 1, the drug combinations were“Radix et Rhizoma Rhei, Giant Knotweed→Herba Artemisiae Capillaris”,“Radix et Rhizoma Rhei, Radix curcumae→Herba Artemisiae Capillaris”, “Giant Knotweed, Gardenia→Herba Artemisiae Capillaris” and so on. Conclusion The medicines were often with the actions of clearing heat, removing dampness, regulating qi and activating blood circulation, which were used for the treatment of hepatopathy by national medical masters.