ABSTRACT
The aim of this study is to investigate the combination treatments of paclitaxel and chitosan-Dendrophthoe pentandra leaves extract nanoparticles (NPDP) on MCF-7 breast cancer cells. Chitosan-NPDP nanoparticles were characterized by Fourier-transform infrared (FTIR), scanning electron microscopy (SEM), and assessed by using immunofluorescence microscopy. MCF-7 cells are cultured and divided into six groups: group 1 was a negative control (without paclitaxel or NPDP); group 2 was treated with paclitaxel alone; groups 3-5 were treated with NPDP (2, 4, and 8 mg/mL, respectively) and group 6 was treated only by 8 mg/mL of chitosan-NPDP nanoparticles. The proliferation and cell cycle were analyzed by flow cytometry and the expression of TUBB3 and MAP4 were assessed by immunofluorescence microscopy. The combinations of paclitaxel-NPDP significantly inhibit proliferation of cells (P<0.001) and it is able to induce G2/M cell cycle arrest (P<0.001). The combination of paclitaxel-NPDP significantly decreases the expressions of TUBB3 (P<0.001) and MAP4 (P<0.001) in MCF-7 cells. These results indicate that the combination of NPDP nanoparticles could reduce the expressions of TUBB3 and MAP4. This research may provide possible sources of new therapy for NPDP.
ABSTRACT
Meta-analysis of GWAS in East Asian populations had established 10 loci that were associated with type 2 diabetes. Eight of them were with genome-wide significance and two with a border line association. Since these data have not been studied in an independent Han Chinese population, we aimed to investigate the association of these susceptibility loci with type 2 diabetes in an independent Han Chinese population. We executed a case-control study in 2 000 Chinese by the SNPscan method. Firstly, the repetitive sequences of 10 loci were assessed. Next, we investigated the association of 8 SNPs out of 10 with type 2 diabetes and constructed the GRS of those 8 SNPs. Finally, the relationship of the 8 loci and diabetes-related traits was analyzed. Based on the fact, that highly repetitive sequences were detected in 2 SNPs, we investigated the remaining 8 SNPs. With the exception of four SNPs (CMIP rs16955379, PEPD rs3786897, PSMD6 rs831571, ZFAND3 rs9470794), the other SNPs had the same direction of effect (odds ratio [OR]>1.0) as in the original reports, especially GLIS3 rs7041847 and KCNK16 rs1535500 were significantly associated with type 2 diabetes (rs1535500: p=0.005, OR=1.224, 95% CI 1.062-1.409; rs7041847: p=0.035, OR=1.118, 95% CI 1.070-1.388). The GRS constructed from the 8 SNPs was significantly associated with type 2 diabetes in the Chinese population (p=0.004, OR=1.065, 95% CI: 1.021-1.111). Among the participants with 24≤BMI<28 kg/m2 the 8 SNPs were significantly associated with type 2 diabetes (p=0.040, OR=1.079, 95% CI: 1.003-1.160). In quantitative trait analyses, WWOX rs17797882 was associated with decreased HOMA-ß and increased level of TG and HDL-Ch, while PEPD rs3786897 and MAEA rs6815464 were associated with decreased fasting plasma glucose, and KCNK16 rs1535500 has shown a significant association with increased T-Ch and PSMD6 rs831571 had a significant association with decreased HDL-Ch. In Conclusion, with high probability the 8 loci identified in the East Asian GWAS meta-analysis are associated with type 2 diabetes in the Han Chinese population.