Health Promotion ; Humans ; Pilot Projects ; Workplace

Gene Expression Regulation, Viral ; Proteomics ; methods ; trends ; Viral Proteins ; analysis ; genetics ; Viruses ; genetics ; growth & development ; metabolism

Objective:To explore the diagnostic value of serum procalcitonin (PCT) level combined with Quantitative Computed Tomography (QCT) in elderly women with painful osteoporosis and its correlation with disease severity.Method:This study is a prospective study. From Jan. 2019 to Apr. 2020, 596 elderly women who underwent physical examination in our hospital were selected as the research subjects. All of them underwent dual-energy X-ray, PCT examination, and QCT examination serum. The diagnostic value of PCT and QCT in elderly women with painful osteoporosis was analyzed; Pearson correlation was used to analyze the correlation between the bone mineral density of lumbar vertebral 1, 2 vertebra, PCT and the severity of painful osteoporosis.Result:Among 596 elderly women, painful osteoporosis patients accounted for 50.84% (303/596) , bone mass reduction accounted for 21.98% (131/596) , and normal bone mass accounted for 27.18% (162/596) . Compared with the results of the diagnosis of painful osteoporosis by DAX, the diagnostic coincidence rates of PCT, QCT, QCT+PCT were 81.88% (488/596) , 93.62% (558/596) , and 97.31% (580/596) . QCT examination, QCT+PCT diagnosis coincidence rate is higher than PCT examination ( χ2=43.650, 83.187, P<0.05) ; QCT+PCT diagnosis coincidence rate is higher than QCT examination ( χ2=9.388, P=0.002) . The sensitivity, specificity, positive predictive value, and negative predictive value of QCT+PCT in the diagnosis of abnormal bone mass are higher than those of PCT ( P<0.05) ; the specificity and negative predictive value of QCT+PCT in diagnosing abnormal bone mass are higher than QCT Check ( P<0.05) . The bone density detected by QCT in the osteopenia group and the painful osteoporosis group was lower than that in the normal bone mass group, and the serum PCT level was higher than that in the normal bone mass group, the difference was statistically significant ( P<0.05) ; the painful osteoporosis group was in QCT detection of bone. The density was lower than that of the osteopenia group, and the serum PCT level was higher than that of the osteopenia group, the difference was statistically significant ( P<0.05) . The severity of painful osteoporosis was negatively correlated with bone mineral density detected by QCT ( r=-0.54, P<0.05) , and positively correlated with serum PCT ( r=0.59, P<0.05) . Conclusion:QCT vertebral bone mineral density determination combined with serum PCT detection has high accuracy, sensitivity, and specificity in the diagnosis of painful osteoporosis, and is closely related to the severity of painful osteoporosis, and can be used for clinical evaluation of the condition of painful osteoporosis patients.

Objective To investigate the relationship among the activity of protein kinase C (PKC) in platelets of maternal vein and umbilical blood , the pathophysiological changes of pregnancy induced hypertension (PIH) and fetal growth restriction (FGR) in PIH patients. Methods Activities of PKC in membrane and plasma of platelets from maternal vein and umbilical blood taken from 35 PIH patients and 20 normal pregnant women were measured with substrate phosphorylation method. Results No difference was shown in the PKC activities between the mild PIH patients and normal pregnant women in both maternal and cord blood.The PKC activities in moderate and severe PIH patients were significantly higher than those of the normal pregnant group.In normal pregnant women, the PKC activity in membrane and plasm of the platelets had no significant difference. In the moderate and severe PIH group, PKC activity in membrane was far more higher than the plasm 46?6 vs 37?4 pmol/(min?mg protein), P

This study was aimed to establish the classification method of Chinese herbal medicine based on feature parameters extracted from images of herbal transverse section, in order to explore the feasibility of automatic identi-fication method of herbal medicine. The extracted 26 parameters of 18 herbal medicine images by gray-level co-oc-currence matrix and grayscale gradient matrix were used as the basic data set. And the minimum covariance determi-nant (MCD) was used to delete the outliers. A total of 18 identification models were established using the native Bayes method and BP neural network methods. The results showed that the average correct rates of models were 90%. It was concluded the feasibility of using these models in the establishment of the automatic identification method of herbal medicines. It provided new technologies for the quantitative, scientific and objective identification of Chinese herbal medicine.

This study was aimed to compare the difference of parameters of texture feature in the transverse section images of the same and different Chinese herbal medicine. A total of 26 parameters of herbal medicines were ex-tracted by gray-level co-occurrence matrix and grayscale gradient matrix. The graph of mutative curve was drawn. And differences of 26 parameters of texture feature in the same and different Chinese herbal medicine were com-pared. The results showed that parameters of texture feature extracted by gray-level co-occurrence matrix and grayscale gradient matrix had similarities and differences in the same and different Chinese herbal medicine. It was concluded that the method can show the texture feature scientifically and quantitatively. It also laid a foundation for the establishment of an automatic identification model, but the parameters still had instability. All these remind us to find some parameters which can show the details of texture feature preferably, thus perfect the extracted method of texture features in Chinese herbal medicine.

This study was aimed to explore the impact of integrality of Chinese herbal medicine on parameters of tex-ture feature in transverse section images. Three Chinese herbal medicine of Semen Arecae, Radix et Rhizoma Rhei and Radix A tractylodis Macrocephalae with different texture features were taken as research materials. Parts of Chi-nese herbal medicine were cut off from the whole by equal proportions. The 26 parameters were extracted by gray-level co-occurrence matrix and grayscale gradient matrix. The similarities and differences of 26 parameters of texture feature in the parts and whole, rectangular and fan-shaped Chinese herbal medicine were compared. The results showed that parameters of Semen A recae and Radix et Rhizoma Rhei with radial or annular texture had better con-sistency in whole and fan-shaped parts. Parameters of Radix A tractylodis Macrocephalae with irregular texture fea-ture were approximately the same in the whole and rectangular parts. It was concluded that whether parameters of texture features in parts Chinese herbal medicine can present the whole were related to its texture feature and the shape of the parts. This study provided the basis for collection of Chinese herbal medicine when sampling images. It also laid a foundation for the extraction of accurate parameter of texture feature.

This study was aimed to investigate the impact of rotation sampling on feature parameters of texture im-ages of Chinese herbal medicine. Four Chinese herb medicine with various shape and texture feature were taken as research materials. Images of complete and incomplete herbal medicine were collected respectively after different ro-tation angles. The 26 parameters were extracted by gray-level co-occurrence matrix and grayscale gradient matrix. The impact of rotation sampling on feature parameters was investigated through analysis of variation tendency and range of 26 parameters. The results showed that if the Chinese herbal medicine was complete, the 26 parameters were not impacted by the rotation angle, whereas the 26 parameters were impacted by the rotation angle and the im-pact will be more obvious when the shape of Chinese herb medicine was irregular. It was concluded that in order to get a high quality of images and construct a well identification model based on the parameter of texture features, we must consider the impact of rotation angle on the parameters to Chinese herbal medicine with various shapes and tex-ture features.

Digitalization is an important method for the objectification and quantification of quality control on Chi-nese herbal medicine. To solve the problem of texture online visualization of Chinese herbal medicine and the estab-lishment of automatic identification method based on the texture, 12 Chinese herbal medicines were selected to cap-ture the images of their transverse sections. A total of 11 features were extracted from images using Gray-level Co-occurrence Matrix (GLCM) method. Through analyzing the influence of distances and angles between pixels on identi-fication results, it was concluded that when the distance was d = 3 and the angle was ? = 0o, the features extracted were suitable for expressing the texture of the transverse sections. The results indicated the feasibility of establishing the automatic identification method on Chinese herbal medicine based on image of transverse section. It will provide new technologies for the objectification and quantification of identification on Chinese herbal medicine.

Objective To construct an eukaryotic vector with expression of human survivin gene with green fluorescent protein which is named pIRES2-EGFP/survivin and transfected into K562 cell line.Methods Using pDNR/Survivin plasmid as a template, the full length of survivin cDNA was amplified by PCR and subsequently cloned into T-A vector and then subcloned into pIRES2-EGFP vector. After identified by digestion of restrictive endonucleases, pIRES2-EGFP/survivin was further confirmed by sequencing. Then it was transfected into K562 cells with superfect reagents. The mRNA was isolated and survivin gene was detected by Western blotting. Results The exact sequences of pIRES2-EGFP/survivin vector were confirmed by digestion of restrictive endonucleases and sequencing. After transfection, the expressions of green fluorescent protein were present. The mRNA expression of survivin has been detected in transfected cells by RT-PCR. Conclusion The vector pIRES2-EGFP/survivin has been constructed and could express survivin gone in K562 cells successfully.