Chen H.,Huazhong University of Science and Technology |
Li H.,Huazhong University of Science and Technology |
Cao F.,Huazhong University of Science and Technology |
Zhen L.,Maternal and Child Health Hospital of Fujian Province |
And 3 more authors.
Journal of Huazhong University of Science and Technology - Medical Science | Year: 2012
This study examined the ability of 1,2,3,4,6-penta-O-galloyl-β-D- glucose (β-PGG) to induce the expression of heme oxygenase-1 (HO-1) in the PC12 cells and its regulation in the PC12 cells. One week before treatment with the drug, nerve growth factor (NGF) was added to the cultures at a final concentration of 50 ng/mL to induce neuronal differentiation. After drug treatment, HO-1 gene transcription was analyzed by reverse transcription polymerase chain reaction (RT-PCR). Expression of HO-1 and NF-E2-related factor2 (Nrf2) and activation of extracellular signal-regulated kinase (ERK) and Akt were detected by Western blotting. The viability of the PC12 cells treated with different medicines was examined by MTT assay. The oxidative stress in the PC12 cells was evaluated qualitatively and quantitatively by DCFH-DA. The results showed that β-PGG up-regulated HO-1 expression and this increased expression provided neuroprotection against MPP+-induced oxidative injury. Moreover, β-PGG induced Nrf2 nuclear translocation, which was found to be upstream of β-PGG-induced HO-1 expression, and the activation of ERK and Akt, a pathway that is involved in β-PGG-induced Nrf2 nuclear translocation, HO-1 expression and neuroprotection. In conclusion, β-PGG up-regulates HO-1 expression by stimulating Nrf2 nuclear translocation in an ERK- and Akt-dependent manner, and HO-1 expression by β-PGG may provide the PC12 cells with an acquired antioxidant defense capacity to survive the oxidative stress. © Huazhong University of Science and Technology and Springer-Verlag Berlin Heidelberg 2012.
Tang S.-P.,Fujian Medical University |
Liu Y.-L.,Fujian Medical University |
Wang S.-B.,Maternal and Child Health Hospital of Fujian Province |
Chen S.,Fujian Medical University |
And 6 more authors.
Journal of Asthma | Year: 2015
Objective: The prevalence of asthma in children age 0-14 years in Fuzhou, a city in Southeast China, was 1.57% in 1990 and 3.28% in 2000. The aim of this study was to investigate the asthma prevalence and risk factors in children in the same city in 2010. Methods: This was a cross-sectional study with a two-stage, clustered, stratified random sample design. Parents of 12 235 children 0-14 years of age in Fuzhou were surveyed using a questionnaire. Children with history and/or symptoms of asthma were then interviewed by pediatricians in a nearby clinic to confirm the diagnosis of asthma, and a second questionnaire listing reported risk factors of asthma was completed by the parents in the clinic. Results: About 11 738 questionnaires were completed with a response rate of 95.9%. Among the responders, 648 children had history and/or symptoms of asthma but only 485 (4.13%) were confirmed with asthma. The prevalence was 1.83%, 7.64% and 6.27% in the age groups of 0-1 years, 3-4 years and 13-14 years, respectively. The most significant (binary logistic regression test) factors associated with asthma were presence of atopic or allergic diseases (OR = 21.5, 95% CI: 12-38.5), family history of allergy or asthma (OR = 29.4, 95% CI: 12.6-68.6), use of at least one course of antibiotics in the first year of life (OR = 7.61, 95% CI: 3.4-17.06), supplementary protein feedings before 6 months (OR = 1.90, 95% CI: 1.23-2.95). Natural ventilation at home (versus frequent use of air-conditioning) appeared to be a protective factor (OR = 0.5, 95% CI: 0.3-0.8). Conclusion: The prevalence of asthma in childhood has increased significantly during the past 20 years in Fuzhou. © 2014 Informa Healthcare USA, Inc.
Pan X.-X.,Fuzhou University |
Ye D.-Y.,Fuzhou University |
Yan J.-Y.,Maternal and Child Health Hospital of Fujian Province |
Zhang D.,Fuzhou University |
Yang D.-L.,Maternal and Child Health Hospital of Fujian Province
Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence | Year: 2015
Due to inconspicuous clinical characteristics of placenta accreta, there is no prenatal diagnosis methods with high sensitivity and specificity in clinical medicine. In this paper, feature selection method is introduced into the prenatal diagnosis of placenta accreta. From the view of feature correlation, a multi-objective feature optimization problem is formulated to extract features with effective medical meaning for the prenatal diagnosis of placenta accreta, and then an improved non-dominated sorting genetic algorithm II (NSGA-II) is described to solve this problem. The computational result based on real clinical data for placenta accreta shows that the proposed method can extract placenta accreta features with effective medical meaning from complex clinical data of placenta accreta. The analysis based on receiver operating characteristic (ROC) curve shows that medical meaning of the extracted features has high diagnostic values, and it can be an effective decision tool for obstetricians to study the pathogenesis of placenta accreta and to make a timely prenatal diagnosis. The study reveals that some biochemistry characteristics in real diagnosis are very important and it can provide a reliable criterion for the prenatal diagnosis of placenta accreta. ©, 2015, Journal of Pattern Recognition and Artificial Intelligence. All right reserved.