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Jin Z, Wang Y, Han M, Wang L, Lin F, Jia Q, Ren W, Xu J, Yang W, Zhao GA, Sun X, Jing C. Tumor microenvironment-responsive size-changeable and biodegradable HA-CuS/MnO 2 nanosheets for MR imaging and synergistic chemodynamic therapy/phototherapy. Colloids Surf B Biointerfaces 2024; 238:113921. [PMID: 38631280 DOI: 10.1016/j.colsurfb.2024.113921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 04/08/2024] [Accepted: 04/15/2024] [Indexed: 04/19/2024]
Abstract
Tumor microenvironment (TME)-responsive size-changeable and biodegradable nanoplatforms for multimodal therapy possess huge advantages in anti-tumor therapy. Hence, we developed a hyaluronic acid (HA) modified CuS/MnO2 nanosheets (HCMNs) as a multifunctional nanoplatform for synergistic chemodynamic therapy (CDT)/photothermal therapy (PTT)/photodynamic therapy (PDT). The prepared HCMNs exhibited significant NIR light absorption and photothermal conversion efficiency because of the densely deposited ultra-small sized CuS nanoparticles on the surface of MnO2 nanosheet. They could precisely target the tumor cells and rapidly decomposed into small sized nanostructures in the TME, and then efficiently promote intracellular ROS generation through a series of cascade reactions. Moreover, the local temperature elevation induced by photothermal effect also promote the PDT based on CuS nanoparticles and the Fenton-like reaction of Mn2+, thereby enhancing the therapeutic efficiency. Furthermore, the T1-weighted magnetic resonance (MR) imaging was significantly enhanced by the abundant Mn2+ ions from the decomposition process of HCMNs. In addition, the CDT/PTT/PDT synergistic therapy using a single NIR light source exhibited considerable anti-tumor effect via in vitro cell test. Therefore, the developed HCMNs will provide great potential for MR imaging and multimodal synergistic cancer therapy.
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Affiliation(s)
- Zhen Jin
- College of Medical Engineering, Xinxiang Medical University, Xinxiang, Henan 453003, China; Xinxiang Neural Sensor and Control Engineering Technology Research Center, Xinxiang, Henan 453003, China.
| | - Yunkai Wang
- College of Medical Engineering, Xinxiang Medical University, Xinxiang, Henan 453003, China
| | - Miaomiao Han
- College of Medical Engineering, Xinxiang Medical University, Xinxiang, Henan 453003, China
| | - Li Wang
- College of Medical Engineering, Xinxiang Medical University, Xinxiang, Henan 453003, China
| | - Fei Lin
- College of Medical Engineering, Xinxiang Medical University, Xinxiang, Henan 453003, China
| | - Qianfang Jia
- College of Medical Engineering, Xinxiang Medical University, Xinxiang, Henan 453003, China
| | - Wu Ren
- College of Medical Engineering, Xinxiang Medical University, Xinxiang, Henan 453003, China
| | - Jiawei Xu
- College of Medical Engineering, Xinxiang Medical University, Xinxiang, Henan 453003, China
| | - Wenhao Yang
- College of Medical Engineering, Xinxiang Medical University, Xinxiang, Henan 453003, China
| | - Guo-An Zhao
- College of Medical Engineering, Xinxiang Medical University, Xinxiang, Henan 453003, China.
| | - Xuming Sun
- College of Medical Engineering, Xinxiang Medical University, Xinxiang, Henan 453003, China; Xinxiang Neural Sensor and Control Engineering Technology Research Center, Xinxiang, Henan 453003, China.
| | - Changqin Jing
- College of Medical Engineering, Xinxiang Medical University, Xinxiang, Henan 453003, China.
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