Chen H.,Sun Yat sen Memorial HospitalGuangdong Province |
Liang Z.-W.,Sun Yat sen UniversityGuangdong Province |
Wang Z.-H.,Sun Yat sen Memorial HospitalGuangdong Province |
Zhang J.-P.,Sun Yat sen Memorial HospitalGuangdong Province |
And 4 more authors.
Journal of Cellular Biochemistry | Year: 2015
Fetal growth restriction (FGR) increases the risk of perinatal death, partly due to defects in lung development. Leptin, a polypeptide hormone, is involved in fetal lung development. We previously demonstrated that treatment with exogenous leptin during gestation significantly promotes fetal lung maturity in the rat model of FGR. In this study, to delineate the molecular pathways through which leptin may enhance fetal lung development, we investigated the impact of leptin treatment on the survival of type II alveolar epithelial cells (AECs), essential leptin-responsive cells involved in lung development, in a rat model of FGR. The rat model of FGR was induced in pregnant Sprague-Dawley rats by partial uterine artery and vein ligation. In vivo and in vitro analyses of fetal lung tissues and freshly-isolated cultured AECs, respectively, showed that leptin protects type II AECs from hypoxia-induced apoptosis. Further molecular studies revealed the role of Akt activation in the leptin-mediated promotion of survival of type II AECs. The data also showed that the anti-apoptotic effects of leptin are dependent on phosphoinositol 3-kinase (PI3K) activation, and involve the down-regulation of caspases 3 and 9, upregulation of pro-survival proteins Bcl-2, and p-Bad, and inhibition of the release of cytochrome c from mitochondria. Taken together, our data suggested that leptin enhances the maturity of fetal lungs by mediating the regulation of caspase-3 and -9 during hypoxia-induced apoptosis of type II AECs and provide support for the potential of leptin as a therapeutic agent for promoting lung development in FGR. J. Cell. Biochem. 116: 2313-2324, 2015. © 2015 Wiley Periodicals, Inc. © 2015 Wiley Periodicals, Inc.
Lu Y.,Sun Yat sen UniversityGuangdong Province |
Peng Y.,Sun Yat sen UniversityGuangdong Province
International Journal of Applied Engineering Research | Year: 2015
As the massive amounts of information on the Internet have been growing significantly in recent years, more and more Web information needs to be analyzed. Web page classification is one of the key technologies to manage Web information. Compared with plaindocuments, there are much more additional components which help to improve the effect of Web page classification，such as HTML tags，and so on. Based on this, a feature weighting method considering the HTML tags is adopted in our paper, its main purpose is to study whether the tag amounts will influence on the effect of Web page classification. The experiment results show that the more tag amounts,the higher classification accuracy. © Research India Publications.