We analyze the experiences and the problems,which are accumulated in Residencytraining work of Tianjin in nearly twenty years,and state the feasibility of specialist system and give some suggestions.

Objective During pregnancy , exosomes can be released from the placenta into maternal circulation and play im-portant roles in normal pregnancy or placenta-related diseases .We aimed to establish a simple and efficient method for isolating and i-dentifying placental exosomes from maternal serum and lay a foundation for the studies of pregnancy -related diseases . Methods Using sucrose gradient centrifugation with 8% PEG6000 precipitation twice , we isolated and purified placenta-derived exosomes from normal maternal serum and detected their molecular markers CD 63 , CD81 and PLAP by Western blot , followed by silver staining anal-ysis of the protein profile of the exosome pellet .We identified the morphology of the placenta-derived exosomes by transmission electron microscopy ( TEM) and measured the size and distribution of the particles by dynamic light scattering ( DLS) . Results Silver stai-ning of the protein profiles of the exosomes after sucrose gradient centrifugation clearly revealed the bands of the protein molecules . Western blot showed the expressions of CD 63, CD81, and PLAP in the 21-34%density layer, which demonstrated the presence of serum placental exosomes mainly in the 1.09-1.16 g/mL density layer.TEM exhibited that the placenta-derived exosomes were round or oval cup-shaped, specifically expressing PLAP, and the particles were uniform in size, with a mean diameter of (41.79 ±11.94) nm. Conclusion A simple, fast, and efficient method was successfully established for isolating placenta-derived exosomes from ma-ternal serum, which provides a basis for studying the roles of placental exosomes in normal pregnancy and placenta -related diseases.

Objective To investigate the prevalence and risk factors of hyperuricemia (HUA) in rural residents of Gaoyou City,Jiangsu Province.Methods A total of 4504 rural residents were investigated in a cross-sectional study.Questionarre survey and physical examination were used for the stndy.Fatsing venous blood samples were collected for biochemical examination.T-test,chi-square test for multiple-group data comparison and logistic regression analysis were used for statistical analysis.Results The prevalence of HUA was 11.9％,15.7％ in male,which was significantly higher than 8.6％ in the female (P＜0.01),the risks of HUA in male was 1.98 times higher than in female.The average value of serum uric acid in this population was higher than.that of female.The prevalence of HUA in female increased with age.Non-conditional logistic regression analysis showed WHR,Cr,Tg,hypertension were the independent risk factors of male patients with HUA.Age,BMI,Cr,Tg,hypertension were independent risk factors of HUA in female.Conclusion The prevalence of HUA can be affected by age and sex.Weight control,keeping blood pressure and blood lipid profiles in normals levels are important for the prevention of HUA.

30%) might be a risk factor in HAPE susceptibility.

This article collects related literatures which is about the Chinese medicine adjuvant treatment of bladder urothelial carcinoma, and sums up the etiology, pathogenesis and TCM auxiliary treatment methods of this disease. Through the analysis, it is believed that the pathogeny of the disease is mainly concentrated in the aspects of damp, heat, blood stasis and poison. The literature on the adjuvant treatment of bladder urothelial carcinoma mainly focuses on the treatment of syndrome differentiation, postoperative recovery, postoperative perfusion, adjuvant chemotherapy and palliative therapy. The progress of its research is summarized as follows.

Auscultation of heart sounds is an important method for the diagnosis of heart conditions. For most people, the audible component of heart sound are the first heart sound (S1) and the second heart sound (S2). Different diseases usually generate murmurs at different stages in a cardiac cycle. Segmenting the heart sounds precisely is the prerequisite for diagnosis. S1 and S2 emerges at the beginning of systole and diastole, respectively. Locating S1 and S2 accurately is beneficial for the segmentation of heart sounds. This paper proposed a method to classify the S1 and S2 based on their properties, and did not take use of the duration of systole and diastole. S1 and S2 in the training dataset were transformed to spectra by short-time Fourier transform and be feed to the two-stream convolutional neural network. The classification accuracy of the test dataset was as high as 91.135%. The highest sensitivity and specificity were 91.156% and 92.074%, respectively. Extracting the features of the input signals artificially can be avoid with the method proposed in this article. The calculation is not complicated, which makes this method effective for distinguishing S1 and S2 in real time.
Diastole ; Heart ; Heart Sounds ; Neural Networks, Computer ; Rivers

Humans ; Asthma/drug therapy* ; Biological Therapy