纳米探针
血脑屏障
脑瘤
磁共振成像
癌症研究
分子成像
体内
病理
整合素
受体
化学
医学
生物物理学
材料科学
生物
纳米技术
内科学
中枢神经系统
纳米颗粒
生物化学
放射科
生物技术
作者
Huihui Yan,Lu Wang,Jiyao Wang,Xiaofu Weng,Hao Lei,Xuxia Wang,Lu Jiang,Jianhua Zhu,Weiyue Lu,Xunbin Wei,Cong Li
出处
期刊:ACS Nano
[American Chemical Society]
日期:2011-12-11
卷期号:6 (1): 410-420
被引量:193
摘要
Surgical resection is a mainstay of brain tumor treatments. However, the completed excision of malignant brain tumor is challenged by its infiltrative nature. Contrast enhanced magnetic resonance imaging is widely used for defining brain tumor in clinic. However its ability in tumor visualization is hindered by the transient circulation lifetime, nontargeting specificity, and poor blood brain barrier (BBB) permeability of the commercially available MR contrast agents. In this work, we developed a two-order targeted nanoprobe in which MR/optical imaging reporters, tumor vasculature targeted cyclic [RGDyK] peptides, and BBB-permeable Angiopep-2 peptides are labeled on the PAMAM-G5 dendrimer. This nanoprobe is supposed to first target the α(V)β(3) integrin on tumor vasculatures. Increased local concentration of nanoprobe facilitates the association between BBB-permeable peptides and the low-density lipoprotein receptor-related protein (LRP) receptors on the vascular endothelial cells, which further accelerates BBB transverse of the nanoprobe via LRP receptor-mediated endocytosis. The nanoprobes that have penetrated the BBB secondly target the brain tumor because both α(V)β(3) integrin and LRP receptor are highly expressed on the tumor cells. In vivo imaging studies demonstrated that this nanoprobe not only efficiently crossed intact BBB in normal mice, but also precisely delineated the boundary of the orthotropic U87MG human glioblastoma xenograft with high target to background signal ratio. Overall, this two-order targeted nanoprobe holds the promise to noninvasively visualize brain tumors with uncompromised BBB and provides the possibility for real-time optical-image-guided brain tumor resection during surgery.
科研通智能强力驱动
Strongly Powered by AbleSci AI