Biomimetic mesoporous polydopamine nanoparticles for MRI-guided photothermal-enhanced synergistic cascade chemodynamic cancer therapy

Nannan Zhang; Gaofeng Shu; Lin Shen; Jiayi Ding; Enqi Qiao; Shiji Fang; Jingjing Song; Yang Yang; Zhongwei Zhao; Chenying Lu; Jianfei Tu; Min Xu; Yongzhong Du; Minjiang Chen; Jiansong Ji

doi:10.1007/s12274-022-4165-1

Nano Research 2022, 15(6): 5262-5272 https://doi.org/10.1007/s12274-022-4165-1

Research Article | Issue | Published: 21 March 2022

Biomimetic mesoporous polydopamine nanoparticles for MRI-guided photothermal-enhanced synergistic cascade chemodynamic cancer therapy

Show Author's Information Hide Author's Information Nannan Zhang^{¹^,^§}, Gaofeng Shu^{¹^,^§}, Lin Shen^¹, Jiayi Ding^¹, Enqi Qiao^¹, Shiji Fang^¹, Jingjing Song^¹, Yang Yang^¹, Zhongwei Zhao^¹, Chenying Lu^¹, Jianfei Tu^¹, Min Xu^¹, Yongzhong Du^²(

), Minjiang Chen^¹(

), Jiansong Ji^¹(

)

1 Key Laboratory of Imaging Diagnosis and Minimally Invasive Interventional Research of Zhejiang Province, School of Medicine, Lishui Hospital of Zhejiaing University, Lishui 323000, China

2 Institute of Pharmaceutics, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China

^§ Nannan Zhang and Gaofeng Shu contributed equally to this work.

Keywords:

chemodynamic therapy, glucose oxidase, Fenton reaction, mesoporous polydopamine, synergistic efficacy

Topics:

Nano biology

Cite this article:

Zhang N, Shu G, Shen L, et al. Biomimetic mesoporous polydopamine nanoparticles for MRI-guided photothermal-enhanced synergistic cascade chemodynamic cancer therapy. Nano Research, 2022, 15(6): 5262-5272. https://doi.org/10.1007/s12274-022-4165-1

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Abstract

Traditional anticancer treatments fail to significantly improve prognoses, and exploration of novel promising therapeutic modalities is urgently needed. In this study, multifunctional mesoporous polydopamine nanoparticles (Pt@MPDA/GOx/Fe³⁺ NPs) loaded with glucose oxidase (GOx), Fe ions and ultrasmall Pt nanoparticles (NPs) were prepared for magnetic resonance imaging (MRI)-guided photothermal therapy (PTT)-enhanced chemodynamic therapy (CDT). The oxidation of intratumoral glucose to H₂O₂ and GOx induced an H₂O₂-rich microenvironment, and then elevated H₂O₂ was catalyzed into highly cytotoxic ·OH by Fe³⁺ via a Fenton reaction for CDT to induce cancer cell death efficiently. Notably, the heat generated by MPDA NPs under laser irradiation offered a moderate PTT to cascade the CDT effect. Moreover, Pt NPs can oxidize H₂O₂ to yield O₂, which in turn accelerates the catalytic process of GOx to increase the efficiency of CDT. Meanwhile, in the high oxidation environment of tumor cells, Pt NPs are oxidized into Pt²⁺ to achieve a tumor chemotherapy effect. In addition, chelated Fe³⁺ endows the system with an MRI-visible function to monitor the treatment efficacy. In conclusion, this study provides a novel MRI-guided PTT-enhanced CDT synergistic nanomedicine platform for cancer therapy.

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About this article

Biomimetic mesoporous polydopamine nanoparticles for MRI-guided photothermal-enhanced synergistic cascade chemodynamic cancer therapy

Show Author's information Hide Author's Information Nannan Zhang^{¹^,^§}, Gaofeng Shu^{¹^,^§}, Lin Shen^¹, Jiayi Ding^¹, Enqi Qiao^¹, Shiji Fang^¹, Jingjing Song^¹, Yang Yang^¹, Zhongwei Zhao^¹, Chenying Lu^¹, Jianfei Tu^¹, Min Xu^¹, Yongzhong Du^²(

), Minjiang Chen^¹(

), Jiansong Ji^¹(

)

1 Key Laboratory of Imaging Diagnosis and Minimally Invasive Interventional Research of Zhejiang Province, School of Medicine, Lishui Hospital of Zhejiaing University, Lishui 323000, China

2 Institute of Pharmaceutics, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China

^§ Nannan Zhang and Gaofeng Shu contributed equally to this work.

Abstract

Keywords: chemodynamic therapy, glucose oxidase, Fenton reaction, mesoporous polydopamine, synergistic efficacy

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Acknowledgements

Publication history

Received: 18 November 2021

Revised: 13 January 2022

Accepted: 15 January 2022

Published: 21 March 2022

Issue date: April 2022

Copyright

Acknowledgements

The study was supported in part by the National Key Research and Development Projects Intergovernmental Cooperation in Science and Technology of China (No. 2018YFE0126900), the National Natural Science Foundation of China (Nos. 82072026, 81901852, and 81901848), the National Natural Science Foundation of Zhejiang Province (Nos. LQ21H180003 and LY21H160010), the Medical and Health Science and Technology Plan Project of Zhejiang Province (Nos. 2021KY414 and 2020RC042), and the Key R&D Program of Lishui City (No. 2021ZDYF12).