The paper sorts out the achievements in informatization construction of disease prevention and control in the United States,summarizes the construction features,and puts forward the objective,requirements,functions and contents of Informatization construction of disease prevention and control of People's Armed Police forces in China based on its current situations.

Ebola virus (EBOV) causes highly lethal hemorrhagic fever in humans and nonhuman primates and has a significant impact on public health. The nucleoprotein (NP) of EBOV (EBOV-NP) plays a central role in virus replication and has been used as a target molecule for disease diagnosis. In this study, we generated a monoclonal antibody (MAb) against EBOV-NP and mapped the epitope motif required for recognition by the MAb. The MAb generated via immunization of mice with prokaryotically expressed recombinant NP of the Zaire Ebola virus (ZEBOV-NP) was specific to ZEBOV-NP and able to recognize ZEBOV-NP expressed in prokaryotic and eukaryotic cells. The MAb cross-reacted with the NP of the Reston Ebola virus (REBOV), the Cote-d'Ivoire Ebola virus (CIEBOV) and the Bundibugyo Ebola virus (BEBOV) but not with the NP of the Sudan Ebola virus (SEBOV) or the Marburg virus (MARV). The minimal epitope sequence required for recognition by the MAb was the motif PPLESD, which is located between amino acid residues 583 and 588 at the C-terminus of ZEBOV-NP and well conserved among all 16 strains of ZEBOV, CIEBOV and BEBOV deposited in GenBank. The epitope motif is conserved in four out of five strains of REBOV.
Animals ; Antibodies, Monoclonal ; immunology ; Ebolavirus ; chemistry ; immunology ; Epitope Mapping ; methods ; Escherichia coli ; genetics ; metabolism ; Mice ; Mice, Inbred BALB C ; Nucleoproteins ; immunology ; Recombinant Proteins ; biosynthesis ; genetics ; immunology

Objective:To develop a model for predicting malignant probability of asymmetries signs of BI-RADS category 4 or 5 in mammography, and to evaluate its predictive performance.Methods:The clinical and imaging data of 187 patients with asymmetrical signs of BI-RADS 4 or 5 who underwent mammography in Xinhua Hospital Affiliated of Shanghai Jiao Tong University School of Medicine from January 2014 to September 2017 were analyzed retrospectively. According to the examination time, 187 patients were divided into training set (109 cases) and verification set (78 cases). The clinical and mammographic features of the patients were analyzed. The predictors were screened by univariate and multivariate logistic regression analysis. Then a predictive model was constructed based on the results with a nomogram drawn. Performances of predictive models were evaluated with area under the curve (AUC) of ROC,calibration curve,and decision curve analysis (DCA).Results:A total of 187 asymmetries signs including 72 malignant and 115 benign was collected. Six predictive factors were harvested to construct the predictive model, which included menstrual status, the number of visible standard view of asymmetries signs, whether asymmetries signs locating at the peripheral layer of tissue, whether asymmetries signs associating with suspicious calcification, skin thickening, or nipple retraction. The predictive model had good performance in both training set and verification set, with the AUC values of 0.85 and 0.84, respectively. The DCA curve showed that the nomogram had good clinical application values.Conclusion:The predictive model can predict malignancy probability of BI-RADS category 4 or 5 asymmetries, which can be used as a referable method for radiologist to evaluate mammographic asymmetries signs.

The concept of precision medicine and precision oncology has been widely accepted.However,the application of this concept still faces many challenges.Exosome investigation is a hot spot in the field of liquid biopsy.Exosomes are extracellular vesicles composed of a lipid bilayer and contain proteins and nucleic acids which regulate cell-cell communication.Exosomes can be isolated and enriched in various body fluids.It has the advantages of micro-invasive,stable and biological active,and it fits well with the practice of precision medicine.In this review,authors discussed potential application and challenge of exosomes in early diagnosis and metastasis monitoring of gastric cancer.

Objective To study the effects of intramedullary pressure on the fluid flow behavior in bones.Methods Multi-scale models of macro bone tissue and macro-meso osteon groups were established using the COMSOL Multiphysics software.Considering the interrelationship of different pore scales,such as the bone marrow cavity,Haversia canal,and bone lacunar-canaliculus,the pore pressure and flow rate of hollow bone tissues and bone tissues with intramedullary pressure were compared,and the effects of the amplitude and frequency of intramedullary pressure on the pressure and flow velocity of the liquid in the bone were analyzed.Results When intramedullary pressure was considered,the pore pressure in bone tissues with intramedullary pressure was 6.4 kPa higher than that in hollow bone tissues.The flow pressure increased significantly with an increase in the intramedullary pressure amplitude,but the flow velocity remained unchanged.The frequency of intramedullary pressure had little effect on pore pressure and flow velocity.Conclusions The multi-scale pore model established in this study can accurately analyze bone fluid flow behavior.These results are of great significance for an in-depth understanding of force conduction in the bone.