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

Health Promotion ; Humans ; Pilot Projects ; Workplace

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

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.

Animals ; Base Sequence ; Gene Expression Regulation ; Humans ; MicroRNAs ; genetics ; metabolism ; Molecular Sequence Data ; RNA, Viral ; genetics ; Virus Diseases ; genetics ; metabolism ; virology ; Virus Physiological Phenomena ; Viruses ; genetics ; metabolism

Response surface methodology (RSM) was used to optimizing the ultrasonic-assisted extraction technology of pigment from Coreopsis tinctoria. The results showed that the flavonoids were the main constituents of the pigment Based on single factor experiments, a four-factor-level experiment design were developed by box-benhnhen central composite design method with causal factors of ultrasonic temperature, ultrasonic time, ratio of liquid to raw material, the concentrations of ethanol in solvent and the extract absorbance value for the response. The interactive effects of four crucial technological parameters were assessed by response surface methodology (RSM). The optimum ultrasonic-assisted extraction conditions were as follow: ultrasonic temperature was 70 °C, ultrasonic time was 60 min, the concentrations of ethanol in solvent was 72.25% and the ratio of liquid to raw material was 32.05:1 mL . g-1. Under the optimum extraction technology conditions, the absorbance value was 0. 936. The conditidns are suitable for the extraction process regression analysis and parameter optimization.
Coreopsis ; chemistry ; Ethanol ; Flavonoids ; isolation & purification ; Pigments, Biological ; isolation & purification ; Plant Extracts ; isolation & purification ; Plants, Medicinal ; Regression Analysis ; Solvents ; Temperature ; Time Factors ; Ultrasonics

Carcinoma, Renal Cell ; genetics ; metabolism ; pathology ; Humans ; Hypoxia-Inducible Factor 1, alpha Subunit ; genetics ; metabolism ; Kidney Neoplasms ; genetics ; metabolism ; pathology ; Loss of Heterozygosity ; Mutation ; Von Hippel-Lindau Tumor Suppressor Protein ; genetics ; metabolism ; von Hippel-Lindau Disease ; genetics ; metabolism ; pathology

Objective To investigate the relationship between the echinoderm microtubule associated protein like 4-anaplastic lymphoma kinase (EML4-ALK) and epithelial growth factor receptor (EGFR) mutation status and overall survival (OS) in Uygur patients with stageⅣnon-small cell lung cancer (NSCLC) who did not accept tyrosine kinase inhibitor treat-ment. Methods Totally 97 tissue samples were collected from Uygur patients with stageⅣNSCLC who did not accept tyro-sine kinase inhibitor treatment. EML4-ALK fusion gene and EGFR mutation status were detected by using FISH and ARMS methods. The survival rates were analysed. Results In 97 tissue samples, EML4-ALK fusion genes were found in 6 (6.2%) samples, EGFR mutations were found in 26 (26.8%) samples. The survival analysis showed that there was no significant dif-ference in OS between EML4-ALK fusion gene group and no EML4-ALK fusion gene group (P=0.941). There was no signifi-cant difference in OS between EGFR mutation group and wild-type EGFR group (P=0.607). The values of median OS were 17.7 months, 17.3 months and 16.2 months for EGFR mutant group, EML4-ALK positive group and EML4-ALK negative+EGFR wild-type group, and thre was no significant difference between them (P=0.915). Conclusion Excluding the thera-peutic influence in TKIs, EML4-ALK fusion gene and EGFR mutation status of tumor tissue can not be used as an indepen-dent factor in assessing the prognosis in Uygur patients with stageⅣNSCLC.

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.