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Article . 2024 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Article . 2024
Data sources: DOAJ
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DNA nanomachine‐driven chemodynamic therapy against glioblastoma

Authors: Xiaodie Li; Yufei Lan; Xin Fu; Xin Luo; Jie Chen; Wenxin Zhang; Boming Zuo; +4 Authors

DNA nanomachine‐driven chemodynamic therapy against glioblastoma

Abstract

AbstractChemodynamic therapy (CDT) has shown promising antitumor effects in various malignant tumors. However, its application for glioblastoma (GBM) is significantly hindered by the challenge of delivering CDT agents across the blood‐brain barrier (BBB) and achieving efficient tumor targeting. To overcome these obstacles, this study presents a novel DNA nanomachine (Cu@tFNAs‐G‐A NM) by loading copper ions (Cu2+) onto tetrahedral framework nucleic acids (tFNAs) functionalized with dual DNA aptamers. The dual DNA aptamers (GS24 for BBB penetration and AS1411 for tumor targeting) empowered Cu@tFNAs‐G‐A NM with the ability to effectively penetrate the BBB and selectively accumulate in tumor cells. Upon internalization, the loaded Cu2+ reacted with tumor‐overexpressed reductive glutathione (GSH) and hydrogen peroxide (H2O2), generating hydroxyl radicals (·OH) and inducing tumor cell death. Additionally, Cu@tFNAs‐G‐A NM was found to be rapidly cleared from the brain and normal tissues within 24 h, minimizing potential systemic toxic side effects. These findings demonstrate the promising potential of Cu@tFNAs‐G‐A NM for effective CDT against GBM and open up new avenues for the development of targeted therapies for GBM.

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Keywords

Targeted drug delivery, Chemistry, QH301-705.5, DNA nanotechnology, Framework nucleic acids, Biology (General), Glioblastoma, QD1-999, Chemodynamic therapy

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Average
Top 10%
gold