Object To establish a rat cerebellar granular neuron (CGN) apoptosis model by 1 methy 4 phenyl pyridinium cation (MPP +) Methods Rat CGN were treated with MPP + and the resulting cell morphology examined by methyl green pyronine staining, agarose gel electrophorsis of DNA and flow cytometry Results MPP + at the concentration of 50 ? mol/L can induce CGNs apoptosis of the established model Conclusion The CGNs apoptosis model induced by MPP + can be used for the study on regulatory mechanism of cell apoptosis and the screening of antiparkinsonian drugs

To establish a novel rapid, convenient, sensitive and specific method applicable to quantitative analysis of the rubella virus extensively, RV total RNA was extracted with Trizol. The envelope glycoprotein E1 gene was amplified from rubella virus by PCR, and the PCR products were cloned into the pMD18-T cloning vector and transfected into DH5alpha. After Amp selection and analysis of restriction enzyme, the clones carrying the E1 gene were identified. After quantitation and serial dilution, the quantitative analysis of E1 gene was made by real-time PCR with the use of FAM as indicator. Standard curve of the real-time PCR was plotted with starting cDNA concentration versus threshold cycle. Then the new method was used to measure 50 cases with suspectable RV infection. The results were compared with those obtained by ELISA assay. TaqMan(r)MGB real-time PCR could help evaluate the level of virus reliably. The correlation coefficient of the standard curve is 0.998, and the linear range of the system is from 10(3) copies/microl to 10(9) copies/microl in clinical samples. The CV value is 0.94% in batch assay and 3.36% in day to day assay. The new method is more sensitive and specific than ELISA assay. For its simplicity, sensitivity, specificity and digitized results, the real-time PCR for quantification of RV cDNA in clinical samples is available.
DNA, Viral ; analysis ; Fluorescence ; Humans ; Real-Time Polymerase Chain Reaction ; methods ; Rubella virus ; isolation & purification ; Sensitivity and Specificity

Objective To examine the therapeutic effect of C Ⅱ TA inhibition in collagen-induced arthritis(CIA),using a delivery system tailored to target C ⅡTA gene by small interfering RNA (siRNA).Methods Mice with collagen-induced arthritis were injected intravenously with C Ⅱ TA siRNA.The clinical score was monitored for up to 4 weeks after treatment.The severity of inflammation of mouse joint was evaluated by histological examination.Real-time PCR was used to determine the cytokine mRNA expression.Cytokine production was measured by ELISA from serum.T cell proliferation was examined by MTT method.Results IFN-γ and IL-17 were elevated in CIA mice,but were iuhibited significantly by C Ⅱ TA siRNA either prevention or intervention of autoimmune arthritis.Collagen specific T cell proliferation was significantly suppressed.Increased level of IL-4 by T cells was observed in C Ⅱ TA siRNA treated group compared with that of control group.Conclusion Our findings indicate that systemic RNAi-mediated C Ⅱ TA gene silencing is effective in the treatment of CIA and regulateds the balance of Th1/Th2 differentiation.

The outbreak of pneumonia caused by novel coronavirus (COVID-19) at the end of 2019 was a major public health emergency in human history. In a short period of time, Chinese medical workers have experienced the gradual understanding, evidence accumulation and clinical practice of the unknown virus. So far, National Health Commission of the People's Republic of China has issued seven trial versions of the "Guidelines for the Diagnosis and Treatment of COVID-19". However, it is difficult for clinicians and laymen to quickly and accurately distinguish the similarities and differences among the different versions and locate the key points of the new version. This paper reports a computer-aided intelligent analysis method based on machine learning, which can automatically analyze the similarities and differences of different treatment plans, present the focus of the new version to doctors, reduce the difficulty in interpreting the "diagnosis and treatment plan" for the professional, and help the general public better understand the professional knowledge of medicine. Experimental results show that this method can achieve the topic prediction and matching of the new version of the program text through unsupervised learning of the previous versions of the program topic with an accuracy of 100%. It enables the computer interpretation of "diagnosis and treatment plan" automatically and intelligently.
Betacoronavirus ; China ; Coronavirus Infections ; diagnosis ; therapy ; Humans ; Machine Learning ; Pandemics ; Pneumonia, Viral ; diagnosis ; therapy ; Practice Guidelines as Topic