[ ABSTRACT] AIM:To investigate the effect of triptolide on the inhibition of microglial activation in 1-methyl-4-phenyl pyridinium ( MPP+)-induced hemiparkinson disease rats.METHODS:The rat model of Parkinson disease was es-tablished by intranigral injection of MPP +.The rats were randomly divided into sham group, MPP+group, triptolide group and vehicle group.The survival of dopaminergic neurons was detected by the immunofluorescence of tyrosine hydroxylase ( TH) in the substantia nigra ( SN) .The activation of microglia was determined by immunofluorescence of OX-42 ( micro-glia marker) in the SN.The expression of chemokine receptor CX3CR1 in SN was measured by Western blotting.RE-SULTS:Intranigral injection of MPP+increased the fluorescence intensity of the microglial marker, and promoted DA neu-ron degenerative death.Immunohistological analysis showed that the OX-42 density was decreased (P<0.01) and tyrosine hydroxylase (TH) positive neurons were increased in the triptolide group (P<0.01).The expression of CX3CR1 was lower in triptolide group than that in model group (P<0.05).CONCLUSION:Triptolide may improve PA neurons func-tion in MPP+-induced rats through inhibiting CX3CR1 expression and microglial activation.

This study was aimed to optimize the ethanol extraction technology ofXiao-Xu-Ming (XXM) decoction. The extraction rates of paeoniflorin, ferulic acid, tetrandrine and yield extract were used as comprehensive evaluation indexes. The amount of ethanol, extraction times, extraction time and concentration of ethanol were selected as factors. The orthogonal design was used to optimize ethanol reflux extraction technology of XXM decoction. The results showed that the optimum extraction conditions were as follows: refluxing extracted 3 times with 10 folds, 70% ethanol, 1.5 h for each time. It was concluded that the optimized extraction process was objective, practical, reasonable and stable, which provided experimental basis for industrial production of XXM decoction.

Based on the research results of aspiration in patients with dysphagia after ischemic stroke at home and abroad, this paper reviews the definition, detection methods, and risk factors of aspiration and emphasizes the incidence rate and severity of this disease. The authors conclude that preventing aspiration can decrease the incidence rate of aspiration pneumonia, change the clinical outcome of patients, and thereby save medical resources.

OBJECTIVE To predict the amount of colorants used in the preparation of placebo of Chinese medicine by construc-ting particle swarm optimization-back propagation neural network PSO-BPNN compound granules,and to provide a new idea for the simulation of placebo color of Chinese medicine compound granules.METHODS The BP neural network was used to establish the model of sample color parameters L,a?,b?and pigment mass fraction.The global search ability of particle swarm optimization algo-rithm was used to optimize the weight and bias of BP neural network to prevent the local minimum value of the model.The linear reduc-tion weight coefficient method and the introduction of mutation operator were used to improve the global optimization ability of particle swarm optimization algorithm.The color comprehensive evaluation index(ΔE)was used as the objective evaluation standard to verify the test results.RESULTS The training results show that the fitting accuracy of the improved PSO-BP neural network was up to 98.31%.The prediction results show that the prediction error of the improved PSO-BP neural network was the smallest,and the mean absolute percentage error(MAPE),root mean square error(RMSE)and mean color difference(ΔE)were 0.411 5,2.164 6 and 2.56,respectively.The verification samples of three kinds of particles were prepared for verification.The ΔE of the verification sample and the model drug were 1.73,2.63 and 4.11,respectively.The color difference between the two groups and the model drug was small by visual evaluation.CONCLUSION The BP neural network based on the improved particle swarm optimization algorithm can simulate the prediction of the amount of colorants used in the preparation of Chinese medicine compound granules,and can be used as a recommended optimization model for placebo color matching research.