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  5. Self‐Powered, Implantable, and Wirelessly Controlled NO Generation System for Intracranial Neuroglioma Therapy

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Article
en
2022

Self‐Powered, Implantable, and Wirelessly Controlled NO Generation System for Intracranial Neuroglioma Therapy

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0 Files

en
2022
Vol 34 (50)
Vol. 34
DOI: 10.1002/adma.202205881

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Zhong Lin Wang
Zhong Lin Wang

Beijing Institute of Technology

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Shuncheng Yao
Minjia Zheng
Zhuo Wang
+7 more

Abstract

Gas therapy is an emerging technology for improving cancer therapy with high efficiency and low side effects. However, due to the existence of the gatekeeper of the blood-brain barrier (BBB) and the limited availability of current drug delivery systems, there still have been no reports on gas therapy for intracranial neuroglioma. Herein, an integrated, self-powered, and wirelessly controlled gas-therapy system is reported, which is composed of a self-powered triboelectric nanogenerator (TENG) and an implantable nitric oxide (NO) releasing device for intracranial neuroglioma therapy. In the system, the patient self-driven TENG converts the mechanical energy of body movements into electricity as a sustainable and self-controlled power source. When delivering energy to light a light-emitting diode in the implantable NO releasing device via wireless control, the encapsulated NO donor s-nitrosoglutathione (GSNO) can generate NO gas to locally kill the glioma cells. The efficacy of the proof-of-concept system in subcutaneous 4T1 breast cancer model in mice and intracranial glioblastoma multiforme in rats is verified. This self-powered gas-therapy system has great potential to be an effective adjuvant treatment modality to inhibit tumor growth, relapse, and invasion via teletherapy.

How to cite this publication

Shuncheng Yao, Minjia Zheng, Zhuo Wang, Yunchao Zhao, Shaobo Wang, Zhirong Liu, Zhou Li, Yunqian Guan, Zhong Lin Wang, Linlin Li (2022). Self‐Powered, Implantable, and Wirelessly Controlled NO Generation System for Intracranial Neuroglioma Therapy. , 34(50), DOI: https://doi.org/10.1002/adma.202205881.

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Publication Details

Type

Article

Year

2022

Authors

10

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1002/adma.202205881

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