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用于侵袭性胶质母细胞瘤边界显示的靶向GCN5的跨血脑屏障双模态探针。

GCN5-targeted dual-modal probe across the blood-brain barrier for borders display in invasive glioblastoma.

作者信息

Zheng Haiyan, Zhang Lu, Bai Xinning, Zhu Jinchao, Liu Shanshan, Ke Yao, Lin Qingyuan, Yuan Yuan, Ji Tianhai

机构信息

Department of Pathology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Nuclear Medical Department, Changhai Hospital affiliated to Naval Medical University, Shanghai, China.

出版信息

Nat Commun. 2025 Mar 8;16(1):2345. doi: 10.1038/s41467-025-57598-9.

Abstract

Glioblastoma (GBM) is a highly invasive malignancy with a poor prognosis, primarily attributable to its diffuse infiltration into adjacent brain tissue, thereby complicating effective surgical resection. Current imaging modalities often struggle to accurately identify tumor boundaries. Here, we identify general control non-repressed protein 5 (GCN5) as a promising molecular target for GBM imaging, as it is expressed in GBM lesions within brain tissue, and its expression levels are significantly correlated with GBM grading. We develop a dual-modal probe with a particle size of 20 nm, capable of efficiently traversing the blood-brain barrier (BBB) to target GCN5 through adsorptive-mediated transcytosis (AMT). The probe employs dendrimers (Den) as carriers, which are loaded with a small molecule inhibitor specifically designed to target GCN5. This probe enhances the preoperative delineation of GBM boundaries using magnetic resonance imaging (MRI) and facilitates intraoperative fluorescence image-guided surgical procedures. Our work introduces a promising tool for boundary delineation, offering new opportunities for the precise resection of GBM.

摘要

胶质母细胞瘤(GBM)是一种具有高度侵袭性的恶性肿瘤,预后较差,主要归因于其向邻近脑组织的弥漫性浸润,从而使有效的手术切除变得复杂。目前的成像方式常常难以准确识别肿瘤边界。在此,我们确定通用控制非抑制蛋白5(GCN5)作为GBM成像的一个有前景的分子靶点,因为它在脑组织内的GBM病变中表达,并且其表达水平与GBM分级显著相关。我们开发了一种粒径为20纳米的双模态探针,它能够通过吸附介导的转胞吞作用(AMT)有效穿越血脑屏障(BBB)以靶向GCN5。该探针采用树枝状大分子(Den)作为载体,其上负载有专门设计用于靶向GCN5的小分子抑制剂。这种探针利用磁共振成像(MRI)增强了GBM边界的术前描绘,并促进了术中荧光图像引导的手术操作。我们的工作引入了一种用于边界描绘的有前景的工具,为GBM的精确切除提供了新的机会。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fda5/11890771/46d44d258ee2/41467_2025_57598_Fig1_HTML.jpg

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