AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (47.1 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Blocked bioorthogonal chemistry enabled switchable bioorthosome to improve liposomal drug delivery for glioblastoma therapy

Chao Wang1,2Jie Wu2Zhiran Duan2Yuqing Pan2Haijing Qu2Wei Cheng2Ning Wang2Han Chen2Xiaoli Gao1Mengqing Hou1Ying Zhang1 ( )Xiangdong Xue2 ( )
Key Laboratory of Resource Biology and Biotechnology of Western China, Ministry of Education, Provincial Key Laboratory of Biotechnology, College of Life Sciences, Northwest University, Xi'an 710069, China
Shanghai Frontiers Science Center of Drug Target Identification and Delivery, School of Pharmaceutical Sciences, National Key Laboratory of Innovative Immunotherapy, Shanghai Jiao Tong University, Shanghai 200240, China
Show Author Information

Abstract

Glioblastoma (GBM) interventions necessitate exceptional precision due to the presence of blood-brain barrier (BBB) and its intricate co-growth with neuron and glial cells. Here, we developed a blocked bioorthogonal chemistry enabled liposome, termed Bioorthosome, with switchable BBB-crossing ligand that could block the bioorthogonal moieties in normal tissue and blood circulation. Upon traversing the BBB and reaching tumor region, the BBB-crossing ligand could detach from the Bioorthosome under acidic tumor microenvironment and switch to the bioorthogonal moieties to react with the metabolically expressed azide-containing sialylations on GBM cell surface. This switchable bioorthogonal chemistry ensures that only GBM cells are targeted, thereby enhancing the precision of liposomal drug delivery. In vitro and in vivo studies have demonstrated that the Bioorthosome efficiently crosses the BBB and undergoes a ligand-switching process to selectively recognize GBM cells while sparing normal brain tissue, leading to enhanced therapeutic efficacy and reduced off-target accumulation. By integrating bioorthogonal reactions with a tumor microenvironment-responsive ligand-switching mechanism, our Bioorthosome design overcomes the limitations of inefficient BBB permeability and suboptimal anti-GBM drug delivery, paving the way for more precise GBM-targeted therapies and the advancement of more effective treatment strategies.

Graphical Abstract

This study presents a novel glioblastoma-targeting strategy by synthesizing Ac3ManNAz-NA, a bioorthogonal mannosyl derivative capable of crossing the blood-brain barrier, and designing a pH-responsive liposome platform (Bioorthosome). The system leverages bioorthogonal chemistry and tumor microenvironment responsiveness to achieve precise drug delivery and enhanced therapeutic efficacy for glioblastoma treatment.

Electronic Supplementary Material

Download File(s)
7338_ESM.pdf (3.8 MB)

References

【1】
【1】
 
 
Nano Research
Article number: 94907338

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Wang C, Wu J, Duan Z, et al. Blocked bioorthogonal chemistry enabled switchable bioorthosome to improve liposomal drug delivery for glioblastoma therapy. Nano Research, 2025, 18(4): 94907338. https://doi.org/10.26599/NR.2025.94907338
Topics:

2920

Views

758

Downloads

2

Crossref

2

Web of Science

2

Scopus

0

CSCD

Received: 09 January 2025
Revised: 15 February 2025
Accepted: 26 February 2025
Published: 07 April 2025
© The Author(s) 2025. Published by Tsinghua University Press.

This is an open access article under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0, https://creativecommons.org/licenses/by/4.0/).