[Effects and mechanisms of Xiao-Ai-Ping injection on angiogenesis].

This study was designed to investigate the effect of Xiao-Ai-Ping injection on cancer angiogenesis. CCK8 assay and Brd U incorporation immunofluorescence assay were used to detect the effect of Xiao-Ai-Ping injection on HUVECs proliferation; wound healing assay and transwell assay were employed to test the effect of Xiao-Ai-Ping injection on HUVECs migration. The anti-angiogenic effect of Xiao-Ai-Ping injection was examined by tube formation assay, rat aortic ring assay and chicken chorioallantoic membrane(CAM) assay. ELISA assay was used to measure the secretion of vascular endothelial growth factor(VEGF); and the activation of vascular endothelial growth factor receptor 2(VEGFR2) protein and its downstream signaling pathways were examined by Western blot. Our data demonstrated that Xiao-Ai-Ping injection inhibited HUVECs proliferation in a time- and dose-dependent manner, and the IC(50) (mg·m L(-1)) values for 24, 48 and 72 h were 48.7 ± 7.14, 29.1 ±2.25 and 22.0 ± 4.53, individually. Xiao-Ai-Ping injection inhibited HUVECs DNA synthesis and migration. Xiao-Ai-Ping injection suppressed HUVECs tube formation, and reduced microvessel sprouting from rat aortic rings and vessel growth in CAMs. Furthermore, Xiao-Ai-Ping injection attenuated the secretion of VEGF, and inhibited the expression of p-VEGFR2 and phosphorylation of protein kinase B(p-AKT). We conclude that Xiao-Ai-Ping injection inhibits angiogenesis by down-regulation of VEGF signaling and AKT pathway.

Optimal waist circumference cut-off values for identifying metabolic risk factors in middle-aged and elderly subjects in Shandong Province of China.

OBJECTIVE: To study the optimal waist circumference (WC) cut-off values for identifying metabolic risk factors in middle-aged and elderly subjects in Shandong Province of China. METHODS: A total of 2,873 men and 5,559 women were included in this cross-sectional study. Metabolic syndrome (MetS) was diagnosed according to the definition of Chinese Diabetes Society in 2004. The relation between WC and MetS was analyzed by multivariate logistic regression analysis. The optimal WC cut-off values were identified using the area under the ROC curve and the different diagnostic criteria for central obesity were compared. RESULTS: The WC was the risk factor for MetS independent of BMI, blood glucose, blood lipid, and blood pressure. The optimal WC cut-off value was 83.8 cm and 91.1 cm for identifying MetS in women and men, respectively. Compared with 80 cm and 85 cm for women and men, 85 cm and 90 cm had a higher Youden index for identifying all metabolic risk factors and MetS in women and men. CONCLUSION: The appropriate WC cut-off value is 85 cm and 90 cm for identifying central obesity and MetS in women and men in Shandong Province of China.