FePt/MnO2@PEG Nanoparticles as Multifunctional Radiosensitizers for Enhancing Ferroptosis and Alleviating Hypoxia in Osteosarcoma Therapy.

IF 3.7 4区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Zhipeng Han, Yiyan Wang, Xiaofang Zang, Hong Liu, Jiqing Su, Yong Zhou
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引用次数: 0

Abstract

Radiotherapy (RT) is a widely used cancer treatment, and the use of metal-based nanoradiotherapy sensitizers has demonstrated promise in enhancing its efficacy. However, achieving effective accumulation of these sensitizers within tumors and overcoming resistance induced by the hypoxic tumor microenvironment remain challenging issues. In this study, we developed FePt/MnO2@PEG nanoparticles with multiple radiosensitizing mechanisms, including high-atomic-number element-mediated radiation capture, catalase-mimicking oxygenation, and GSH depletion-induced ferroptosis. Both in vitro and in vivo experiments were conducted to validate the radiosensitizing mechanisms and therapeutic efficacy of FePt/MnO2@PEG. In conclusion, this study presents a novel and clinically relevant strategy and establishes a safe and effective combination radiotherapy approach for cancer treatment. These findings hold significant potential for improving radiotherapy outcomes and advancing the field of nanomedicine in cancer therapy.

作为多功能放射增敏剂的FePt/MnO2@PEG纳米颗粒可在骨肉瘤治疗中增强铁素体生成和缓解缺氧。
放疗(RT)是一种广泛应用的癌症治疗方法,而使用金属基纳米放疗增敏剂则有望提高其疗效。然而,实现这些增敏剂在肿瘤内的有效积累以及克服缺氧肿瘤微环境诱导的抗药性仍然是具有挑战性的问题。在这项研究中,我们开发了具有多种放射增敏机制的FePt/MnO2@PEG纳米粒子,包括高原子序数元素介导的辐射捕获、催化酶模拟氧合和GSH耗竭诱导的铁跃迁。通过体外和体内实验验证了 FePt/MnO2@PEG 的放射增敏机制和疗效。总之,本研究提出了一种新颖且与临床相关的策略,并建立了一种安全有效的癌症联合放疗方法。这些发现为改善放疗效果和推进纳米医学在癌症治疗领域的应用提供了巨大的潜力。
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来源期刊
IEEE Transactions on NanoBioscience
IEEE Transactions on NanoBioscience 工程技术-纳米科技
CiteScore
7.00
自引率
5.10%
发文量
197
审稿时长
>12 weeks
期刊介绍: The IEEE Transactions on NanoBioscience reports on original, innovative and interdisciplinary work on all aspects of molecular systems, cellular systems, and tissues (including molecular electronics). Topics covered in the journal focus on a broad spectrum of aspects, both on foundations and on applications. Specifically, methods and techniques, experimental aspects, design and implementation, instrumentation and laboratory equipment, clinical aspects, hardware and software data acquisition and analysis and computer based modelling are covered (based on traditional or high performance computing - parallel computers or computer networks).
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