Objective To investigate the vascular endothelial growth factor (VEGF) expression level by chondrocytes isolated from patients with osteoarthritis (OA) in hip or femoral neck fracture (FNF) and explore the effect of synovial fluid from OA or FNF on secretion of VEGF. Methods The cartilage tissues were collected from 12 patients with OA in hip and 8 patients with FNF. Cartilage was stained with HIM and Safranin O/Fast Green (S/F) method. The damage of cartilage was evaluated using Mankin scores.Cathepsin B which was selected for cell dedifferentiation monitoring marker and VEGF level was detected in the supernatant fluid. The synovial fluid from OA, FNF and DMEM were respectively added to the culture medium to explore their effects on regulating VEGF. Results Cartilage the Mankin scores of OA group were higher than that of FNF group. Chondrocytes gradually lost their original spherical appearance, with Cathepsin B upregulated while VEGF downregulated. The OA synovial fluid can stimulate chongdrocytes to secrete more VEGF than the one from patients with FNF. However, chondrocytes gradually produced less VEGF after passaging. Conclusion Mankin scores had good correlation with chondrocytes' VEGF production in the early stage of primary culture. Chondrocytes showed quick dedifferentiation characteristics in vitro. OA synovial fluid showed abig ger capability in stimulating chondrocytes to express more VEGF, which might indicate that OA synovial fluid participated in the pathological process of OA.

Objective To evaluate the effect of MRI in reflecting the pathological changes of VX2 carcinoma in rabbits after radiofrequency ablation (RFA) . Methods RFA was performed in the livers of 24 rabbits with planted VX2 carcinoma. The rabbits were divided into 4 groups. After RFA, the rabbits were killed after MR imaging on 0, 1, 2, and 4 weeks, respectively. The correlation between MRI and pathological findings was analyzed. Results In the acute phase, coagulative necrosis of the ablated tumors and inflammatory reaction with hyperemia around were detected at microscopic examination. The ablated tumor showed as hypointensity on T1WI and hyperintensity on T2WI, while rim of high signal intensity on T1WI and low signal intensity on T2WI was found. Gadolinium-enhanced MRI showed a thin high signal rim surrounding the central coagulative necrosis. In the subacute phase, extensive coagulative necrosis and marked infiltration by neutrophils, lymphocytes, macrophages and a peripheral fibrous generation rim were observed microscopically on the ablated tumor. The ablated tumor showed iso-or hyperintensity on T1WI and hypointensity on T2WI, while the periphery of ablated lesions was hypointensity on T1WI and hyperintensity on T2WI. There was prominent rim enhancement along the ablated margin. In the chronic phase, peripheral fibrous rim became obvious, more regular and thicker than at subacute phase as hypointensity on T1WI and T2WI, and unenhancement was observed. Residual or recurrence of tumor was found in 17 rabbits as hypointensity on T1WI and hyperintensity on T2WI, and irregular, thicker rim or nodular enhancing abnormalities. Conclusion MRI can effectively show the histopathological tissue changes of rabbit VX2 carcinoma after ablation and demonstrate the residual or recurrence of tumor.

Objective:To understand the epidemiological characteristics and risk factors of fatal cases of hand, foot, and mouth disease (HFMD) in children under 5 years old in China from 2008 to 2018, and provide evidence for the development of targeted prevention and control measures and reduction of the incidence of fatal HFMD cases.Methods:The incidence data of reported HFMD cases in China during 2008-2018 were collected from the National Notifiable Disease Surveillance Reporting System of China for the analyses on the demographic characteristics, spatial distribution, diagnosis or reporting and pathogen spectrum of the HFMD cases. Then the risk factors causing deaths were analyzed by using logistic regression model.Results:From 2008 to 2018, a total of 3 646 fatal cases of HFMD in children under 5 years old were reported in China. There were more fatal HFMD cases in boys than in girls (1.82∶1), the death mainly occurred in age group 0 to 2 years (87.71%). Adjusted mortality rate of HFMD in children under 5 years old in China declined from 0.87 per 100 000 in 2010 to 0.11 per 100 000 in 2018 (APC=-23.20%). In the 2 523 laboratory-confirmed deaths, 2 323 (92.07%) were EV-A71 infections, but the constituents of CV-A16 and other enterovirus infections increased. The interval from onset to diagnosis M=2( P25-P75:2 -4)d. The interval from onset to death M=3( P25-P75:2 -4)d. Age between 0 and 1 years, EV-A71 infection, longer interval between onset and diagnosis, and living in rural area were the risk factors causing fatal HFMD cases. Conclusions:The number of the fatal cases, the rate of mortality and case fatality HFMD in China had shown downward trends since 2010. EV-A71 is still the main pathogen causing fatal cases, but we should pay more attention to gene pattern of the other enteroviruses except EV-A71 and CV-A16. To reduce the risk of the fatal cases we should strengthen the health education about the immunization of EV-A71 inactivated vaccines and reduce the interval from onset to diagnosis in young children in western provinces and rural areas.

Objective:To analyze the epidemiological characteristics of outbreaks of dengue fever in China from 2015 to 2018, and provide evidence for the prevention and control of dengue fever.Methods:We extracted the incidence data of dengue fever from China Disease Prevention and Control Information System, Public Health Emergency Reporting Management Information System and Vector Biological Monitoring System, and explored the epidemiological characteristics of the outbreaks in the past four years. Excel 2010 software and SPSS 20.0 software were used for data processing and analysis, ArcGIS 10.5 software was used for mapping.Results:A total of 111 outbreaks of dengue fever were reported nationwide from 2015 to 2018, involving 12 490 cases, accounting for 73.7% of the total cases in China. These outbreaks occurred in 85 counties and districts of 4 provinces, namely Guangdong (77 outbreaks), Yunnan (14 outbreaks), Zhejiang (8 outbreaks) and Fujian (8 outbreaks). The outbreaks occurred during May-November. Small-scale outbreaks with no more than 10 cases ended within 30 days (28/34, 82.4%) and larger-scale outbreaks lasted for several months. Dengue virus type 1 and type 2 were the main epidemic pathogens of dengue fever outbreaks in China. The outbreaks mainly occurred in areas with high population density and poor sanitary environment. There were significant differences in the age and occupational composition of the cases in the main outbreak provinces.Conclusions:Outbreaks of dengue fever can been seen in more areas in China, even in high latitudes areas. The epidemiologic characteristics of the outbreaks were different among provinces, showing as port type, rural type and urban type. Each province should adjust the control strategies accordingly.

Electrocardiogram (ECG) signal is an important basis for the diagnosis of arrhythmia and myocardial infarction. In order to further improve the classification effect of arrhythmia and myocardial infarction, an ECG classification algorithm based on Convolutional vision Transformer (CvT) and multimodal image fusion was proposed. Through Gramian summation angular field (GASF), Gramian difference angular field (GADF) and recurrence plot (RP), the one-dimensional ECG signal was converted into three different modes of two-dimensional images, and fused into a multimodal fusion image containing more features. The CvT-13 model could take into account local and global information when processing the fused image, thus effectively improving the classification performance. On the MIT-BIH arrhythmia dataset and the PTB myocardial infarction dataset, the algorithm achieved a combined accuracy of 99.9% for the classification of five arrhythmias and 99.8% for the classification of myocardial infarction. The experiments show that the high-precision computer-assisted intelligent classification method is superior and can effectively improve the diagnostic efficiency of arrhythmia as well as myocardial infarction and other cardiac diseases.
Humans ; Electrocardiography ; Heart Diseases ; Myocardial Infarction/diagnostic imaging* ; Algorithms ; Electric Power Supplies

The oral microbiota is associated with oral diseases and digestive systemic diseases. Nevertheless, the causal relationship between them has not been completely elucidated, and colonisation of the gut by oral bacteria is not clear due to the limitations of existing research models. The aim of this study was to develop a human oral microbiota-associated (HOMA) mouse model and to investigate the ecological invasion into the gut. By transplanting human saliva into germ-free (GF) mice, a HOMA mouse model was first constructed. 16S rRNA gene sequencing was used to reveal the biogeography of oral bacteria along the cephalocaudal axis of the digestive tract. In the HOMA mice, 84.78% of the detected genus-level taxa were specific to the donor. Principal component analysis (PCA) revealed that the donor oral microbiota clustered with those of the HOMA mice and were distinct from those of specific pathogen-free (SPF) mice. In HOMA mice, OTU counts decreased from the stomach and small intestine to the distal gut. The distal gut was dominated by Streptococcus, Veillonella, Haemophilus, Fusobacterium, Trichococcus and Actinomyces. HOMA mice and human microbiota-associated (HMA) mice along with the GF mice were then cohoused. Microbial communities of cohoused mice clustered together and were significantly separated from those of HOMA mice and HMA mice. The Source Tracker analysis and network analysis revealed more significant ecological invasion from oral bacteria in the small intestines, compared to the distal gut, of cohoused mice. In conclusion, a HOMA mouse model was successfully established. By overcoming the physical and microbial barrier, oral bacteria colonised the gut and profiled the gut microbiota, especially in the small intestine.
Animals ; Bacteria ; Gastrointestinal Microbiome ; Germ-Free Life ; Humans ; Mice ; Microbiota ; RNA, Ribosomal, 16S