| 1 | Inhibition of furin by bone targeting superparamagnetic iron oxide nanoparticles alleviated breast cancer bone metastasis显示文摘Breast cancer bone metastasis poses significant challenge for therapeutic strategies.Inside the metastatic environment,osteoclasts and tumor cells interact synergistically to promote cancer progression.In this study,the proprotein convertase furin is targeted due to its critical roles in both tumor cell invasion and osteoclast function.Importantly,the furin inhibitor is specifically delivered by bone targeting superparamagnetic iron oxide(SPIO)nanoparticles.Our in vitro and in vivo data demonstrate that this system can effectively inhibit both osteoclastic bone resorption and breast cancer invastion,leading to alleviated osteolysis.Therefore,the bone targeting&furin inhibition nanoparticle system is a promising therapeutic and diagnostic strategy for breast cancer bone metastasis. | Yichuan Pang Li Su Yao Fu Fan Jia Chenxi Zhang Xiankun Cao Wenxin He Xueqian Kong Jiake Xu Jie Zhao An Qin | 2021 | Bioactive Materials2021，6，3： | 2 |
| 2 | VEGF-C/VEGFR-3/iNOS Signaling in Osteosarcoma MG63 Cells Mediates Stimulatory Effects on Human Umbilical Vein Endothelial Cell Proliferation显示文摘Objectives To assess the effects of vascular endothelial growth factor-C(VEGF-C)/vascular endothelial growth factor receptor-3(VEGFR-3)signaling on nitric oxide(NO)production and inducible nitric oxide synthase(iNOS)expression in human osteosarcoma MG63 cells and the subsequent impact on the proliferation of human umbilical vein endothelial cells(HUVECs).Methods MG63 cells were treated with VEGF-C alone(VEGF-C group),VEGF-C+iNOS inhibitor aminoguanidine(AG;AG group),and VEGF-C+VEGFR-3 inhibitor MAZ51(MAZ51 group);untreated MG63 cells were used as controls.NO production was evaluated by a colorimetric method involving nitrate reductase.Meanwhile,mRNA and protein levels of iNOS were examined by reverse transcription polymerase chain reaction(RT-PCR)and Western blot.To explore the effect of VEGF-C/VEGFR-3/iNOS signaling of MG63 cells on proliferation of HUVECs,we set up six groups:HUVECs,HUVECs+MG63,HUVECs+VEGF-C,HUVECs+MG63+VEGF-C,HUVECs+MG63+VEGF-C+AG,and HUVECs+MG63+VEGF-C+MAZ51 groups.The proliferation of HUVEC cells was assessed by Cell Counting Kit-8(CCK-8),5-ethynyl-2'-deoxyuridine(EdU)incorporation assay,and proliferating cell nuclear antigen(PCNA)expression quantitation.Results VEGF-C treatment enhanced iNOS expression at both gene and protein levels(mRNA:LSD-t=4.152,P<0.01;protein:LSD-t=3.486,P<0.01)and increased NO release of MG63 cells(LSD-t=3.774,P<0.01);treatment with either AG or MAZ51 decreased these effects(mRNA:LSD-t=9.183,P<0.001;LSD-t=8.639,P<0.001;protein:LSD-t=5.170,P<0.001;LSD-t=7.25S,P<0.001;NO production:LSD-t=10.326,P<0.001;LSD-t=l0.540,P<0.001).Interestingly,co-incubation of HUVECs with MG63 cells and/or VEGF-C significantly promoted HUVEC proliferation(EdU:LSD-t=5.374,P<0.001;LSD-t=2.984,P<0.05;LSD-t=8.526,P<0.001;PCNA:LSD-t=9.267,P<0.001;LSD-t=5.515,P<0.001;LSD-t=14.873,P<0.001).The proliferation effects of HUVEC induced by MG63 cells and VEGF-C attenuated by the treatment of AG(EdU:LSD-t=10.770,P<0.001;PCNA:LSD-t=19.94O,P<0.001)or MAZ51(EdU:LSD-t=6.950,P<0.001;PCNA:LSD-t=14.001,P<0.001).Conclusion In human osteosarcoma MG63 cells,activation of VEGFR-3 by VEGF-C promotes iNOS expression and NO production,which subsequendy induces HUVEC proliferation. | Jie Lv Jie Yuan Chaojian Xu Jiaqi Hao Yichuan Qin Xiaoqiang Wang Yongfeng Wang | 2021 | Chinese Medical Sciences Journal2021，36，1： | 1 |
| 3 | Energy Optimization in Multi-UAV-Assisted Edge Data Collection System显示文摘In the IoT(Internet of Things)system,the introduction of UAV(Unmanned Aerial Vehicle)as a new data collection platform can solve the problem that IoT devices are unable to transmit data over long distances due to the limitation of their battery energy.However,the unreasonable distribution of UAVs will still lead to the problem of the high total energy consumption of the system.In this work,to deal with the problem,a deployment model of a mobile edge computing(MEC)system based on multi-UAV is proposed.The goal of the model is to minimize the energy consumption of the system in the process of data transmission by optimizing the deployment of UAVs.The DEVIPSK(differential evolution algorithm with variable population size based on a mutation strategy pool initialized by K-Means)is proposed to solve the model.In DEVIPSK,the population is initialized by K-Means to obtain better initial positions of UAVs.Besides,considering the limitation of the fixed mutation strategy in the traditional evolutionary algorithm,a mutation strategy pool is used to update the positions of UAVs.The experimental results show the superiority of the DEVIPSK and provide guidance for the deployment of UAVs in the field of edge data collection in the IoT system. | Bin Xu Lu Zhang Zipeng Xu Yichuan Liu Jinming Chai Sichong Qin Yanfei Sun | 2021 | Computers, Materials & Continua2021，，11： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员